AI Agents That Actually Work for Your Business

<style> :root { --primary: #6061f6; --accent: #c5ef48; --dark: #111827; --body: #4b5563; --muted: #6b7280; --bg-light: #f8f9fa; --bg-white: #ffffff; --bg-tint: #fafbff; --border: rgba(0,0,0,0.06); --shadow-sm: 0 4px 24px rgba(0,0,0,0.05); --shadow-md: 0 12px 40px rgba(96,97,246,0.10); --shadow-lg: 0 20px 60px rgba(96,97,246,0.14); --radius-card: 20px; --radius-sm: 12px; --radius-pill: 999px; } * { font-family: 'Inter', sans-serif; } .lca-h2 { font-size: clamp(1.5rem, 3vw, 2.25rem); font-weight: 400; color: var(--dark); margin: 0 0 1rem 0; letter-spacing: -0.02em; line-height: 1.2; } .lca-h2 strong { font-weight: 700; color: var(--primary); } .lca-h3 { font-size: clamp(0.95rem, 1.8vw, 1.1rem); font-weight: 600; color: var(--dark); margin: 0 0 0.5rem 0; line-height: 1.3; } .lca-body { font-size: clamp(0.875rem, 1.4vw, 0.975rem); color: var(--body); line-height: 1.7; margin: 0; } .lca-small { font-size: 0.825rem; color: var(--muted); line-height: 1.5; } .lca-card { background: var(--bg-white); border-radius: var(--radius-card); border: 1px solid var(--border); box-shadow: var(--shadow-sm); padding: 28px 24px; position: relative; overflow: hidden; transition: background 0.25s ease, box-shadow 0.25s ease; } .lca-card::before { content: ''; position: absolute; left: 0; top: 0; width: 3px; height: 0; background: var(--primary); border-radius: 20px 0 0 20px; transition: height 0.25s ease; } .lca-card:hover::before { height: 100%; } .lca-card:hover { background: var(--bg-tint); box-shadow: var(--shadow-md); } .lca-icon-wrap { width: 48px; height: 48px; border-radius: 14px; background: rgba(96,97,246,0.08); display: flex; align-items: center; justify-content: center; flex-shrink: 0; margin-bottom: 16px; } .lca-icon-wrap svg { width: 24px; height: 24px; color: var(--primary); } .lca-grid-2 { display: grid; grid-template-columns: repeat(2, 1fr); gap: 24px; } .lca-grid-3 { display: grid; grid-template-columns: repeat(3, 1fr); gap: 24px; } .lca-bento { display: grid; grid-template-columns: 1fr 2fr; gap: 3rem; align-items: start; } .lca-bento-heading { position: sticky; top: 2rem; } .lca-split { display: grid; grid-template-columns: 1fr 2fr; gap: 4rem; align-items: start; } .lca-callout { background: var(--bg-light); border-left: 3px solid var(--primary); border-radius: 0 var(--radius-sm) var(--radius-sm) 0; padding: 24px 28px; } .lca-pill { display: inline-block; font-size: 0.75rem; font-weight: 600; color: var(--primary); background: rgba(96,97,246,0.08); padding: 4px 12px; border-radius: var(--radius-pill); text-transform: uppercase; letter-spacing: 0.05em; margin-bottom: 12px; } .lca-pill-red { display: inline-block; font-size: 0.75rem; font-weight: 600; color: #dc2626; background: rgba(220,38,38,0.08); padding: 4px 12px; border-radius: var(--radius-pill); text-transform: uppercase; letter-spacing: 0.05em; margin-bottom: 8px; } .lca-emph-red { color: #dc2626; font-weight: 500; } .lca-step-num { display: inline-flex; align-items: center; justify-content: center; width: 36px; height: 36px; border-radius: 50%; background: rgba(96,97,246,0.08); color: var(--primary); font-weight: 700; font-size: 0.9rem; flex-shrink: 0; } .lca-fit-list { display: flex; flex-direction: column; gap: 1rem; } .lca-fit-item { display: flex; align-items: flex-start; gap: 1rem; } .lca-fit-content h4 { font-size: 1rem; font-weight: 600; color: var(--dark); margin: 0 0 4px 0; } .lca-fit-content p { font-size: 0.9rem; color: var(--body); margin: 0; line-height: 1.5; } .lca-callout-red { background: rgba(220,38,38,0.04); border-left: 3px solid #dc2626; border-radius: 0 var(--radius-sm) var(--radius-sm) 0; padding: 24px 28px; margin-top: 1.5rem; } @media (max-width: 991px) { .lca-grid-3 { grid-template-columns: repeat(2, 1fr); } } @media (max-width: 767px) { .lca-grid-2, .lca-grid-3, .lca-bento, .lca-split { grid-template-columns: 1fr; gap: 2rem; } .lca-bento-heading { position: static; } } </style> <div class='section_problem'> <div class='padding-global padding-section-large'> <div class='container-large'> <div style='max-width: 800px; margin: 0 auto; text-align: center;'> <h2 class='lca-h2'>Your team is stuck doing work that AI <strong>should handle.</strong></h2> <p class='lca-body' style='margin-top:1.5rem;'>Your best people spend hours on tasks that follow clear patterns — triaging support tickets, qualifying leads, pulling data from documents, updating CRMs. Every hour on repetitive workflows is an hour not spent on strategy, relationships, or growth.</p> </div> <div class='lca-grid-2' style='margin-top: 3rem;'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M12 9v3.75m-9.303 3.376c-.866 1.5.217 3.374 1.948 3.374h14.71c1.73 0 2.813-1.874 1.948-3.374L13.949 3.378c-.866-1.5-3.032-1.5-3.898 0L2.697 16.126zM12 15.75h.007v.008H12v-.008z'/></svg> </div> <h3 class='lca-h3'>The Chatbot Problem</h3> <p class='lca-body'>Off-the-shelf chatbots feel like demos. They answer questions but never take real action inside your business.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M12 6v12m-3-2.818l.879.659c1.171.879 3.07.879 4.242 0 1.172-.879 1.172-2.303 0-3.182C13.536 12.219 12.768 12 12 12c-.725 0-1.45-.22-2.003-.659-1.106-.879-1.106-2.303 0-3.182s2.9-.879 4.006 0l.415.33M21 12a9 9 0 11-18 0 9 9 0 0118 0z'/></svg> </div> <h3 class='lca-h3'>The Enterprise Problem</h3> <p class='lca-body'>AI consultancies quote six figures and six months. You need AI agents connected to your tools, trained on your data, deployed fast.</p> </div> </div> </div> </div> </div> <div class='section_services' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <h2 class='lca-h2'>AI agents that take <strong>real action.</strong></h2> <p class='lca-body' style='margin-top:1rem'>Not chatbots that point people to a FAQ. AI agents that update CRMs, send emails, process documents, and complete workflows autonomously.</p> </div> <div class='lca-grid-2'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M20.25 8.511c.884.284 1.5 1.128 1.5 2.097v4.286c0 1.136-.847 2.1-1.98 2.193-.34.027-.68.052-1.02.072v3.091l-3-3c-1.354 0-2.694-.055-4.02-.163a2.115 2.115 0 01-.825-.242m9.345-8.334a2.126 2.126 0 00-.476-.095 48.64 48.64 0 00-8.048 0c-1.131.094-1.976 1.057-1.976 2.192v4.286c0 .837.46 1.58 1.155 1.951m9.345-8.334V6.637c0-1.621-1.152-3.026-2.76-3.235A48.455 48.455 0 0011.25 3c-2.115 0-4.198.137-6.24.402-1.608.209-2.76 1.614-2.76 3.235v6.226c0 1.621 1.152 3.026 2.76 3.235.577.075 1.157.14 1.74.194V21l4.155-4.155'/></svg> </div> <h3 class='lca-h3'>Customer-Facing AI Agents</h3> <p class='lca-body'>Handle support conversations, answer product questions, route complex issues to humans, and resolve tickets autonomously — 24/7 across chat, email, and voice.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M2.25 18L9 11.25l4.306 4.307a11.95 11.95 0 015.814-5.519l2.74-1.22m0 0l-5.94-2.28m5.94 2.28l-2.28 5.941'/></svg> </div> <h3 class='lca-h3'>Sales & Lead AI Agents</h3> <p class='lca-body'>Qualify inbound leads, respond to inquiries instantly, book meetings, follow up with prospects, and enrich CRM records — so your sales team focuses on closing.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M6.75 7.5l3 2.25-3 2.25m4.5 0h3m-9 8.25h13.5A2.25 2.25 0 0021 18V6a2.25 2.25 0 00-2.25-2.25H5.25A2.25 2.25 0 003 6v12a2.25 2.25 0 002.25 2.25z'/></svg> </div> <h3 class='lca-h3'>Operations & Workflow Agents</h3> <p class='lca-body'>Process documents, extract data, update systems, generate reports, manage approvals, and orchestrate multi-step workflows — eliminating manual back-office work.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M20.25 6.375c0 2.278-3.694 4.125-8.25 4.125S3.75 8.653 3.75 6.375m16.5 0c0-2.278-3.694-4.125-8.25-4.125S3.75 4.097 3.75 6.375m16.5 0v11.25c0 2.278-3.694 4.125-8.25 4.125s-8.25-1.847-8.25-4.125V6.375m16.5 0v3.75m-16.5-3.75v3.75m16.5 0v3.75C20.25 16.153 16.556 18 12 18s-8.25-1.847-8.25-4.125v-3.75m16.5 0c0 2.278-3.694 4.125-8.25 4.125s-8.25-1.847-8.25-4.125'/></svg> </div> <h3 class='lca-h3'>Knowledge & Data Agents</h3> <p class='lca-body'>Search across your documents, databases, and tools to surface answers, generate insights, summarize meeting notes — powered by RAG and your proprietary data.</p> </div> </div> </div> </div> </div> </div> <div class='section_who'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <h2 class='lca-h2'>Who is an AI agent <strong>for?</strong></h2> <p class='lca-body' style='margin-top:1rem'>AI agents deliver value for specific organizational contexts and challenges.</p> </div> <div> <span class='lca-pill'>Ideal Fit</span> <div class='lca-fit-list' style='margin-top:1.5rem;'> <div class='lca-fit-item'> <span class='lca-step-num'>1</span> <div class='lca-fit-content'> <h4>Teams Drowning in Repetitive Work</h4> <p>Support staff spending hours on routine tickets, sales teams manually qualifying leads, ops teams copying data between systems.</p> </div> </div> <div class='lca-fit-item'> <span class='lca-step-num'>2</span> <div class='lca-fit-content'> <h4>Companies with Clear Processes</h4> <p>Organizations with documented workflows, approval chains, and decision trees that AI can learn and execute autonomously.</p> </div> </div> <div class='lca-fit-item'> <span class='lca-step-num'>3</span> <div class='lca-fit-content'> <h4>Businesses Handling Sensitive Data</h4> <p>Teams that need AI with enterprise security, compliance controls, and human-in-the-loop escalation for critical decisions.</p> </div> </div> <div class='lca-fit-item'> <span class='lca-step-num'>4</span> <div class='lca-fit-content'> <h4>Organizations Ready to Scale</h4> <p>Companies with growing workloads that can't scale by hiring alone — where AI agents multiply team capacity without multiplying headcount.</p> </div> </div> </div> <div class='lca-callout-red'> <span class='lca-pill-red'>Not the Right Fit If</span> <p class='lca-body' style='margin-top:0.75rem;'>You need a <span class='lca-emph-red'>simple FAQ bot</span>, want AI for <span class='lca-emph-red'>one-off tasks only</span>, or have <span class='lca-emph-red'>no documented processes</span>. We build agents that handle real work — not chatbots that redirect to help docs.</p> </div> </div> </div> </div> </div> </div>

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var(--bg-white); border-radius: var(--radius-card); border: 1px solid var(--border); box-shadow: var(--shadow-sm); padding: 28px 24px; position: relative; overflow: hidden; transition: background 0.25s ease, box-shadow 0.25s ease; } .lca-card::before { content: ''; position: absolute; left: 0; top: 0; width: 3px; height: 0; background: var(--primary); border-radius: 20px 0 0 20px; transition: height 0.25s ease; } .lca-card:hover::before { height: 100%; } .lca-card:hover { background: var(--bg-tint); box-shadow: var(--shadow-md); } .lca-icon-wrap { width: 48px; height: 48px; border-radius: 14px; background: rgba(96,97,246,0.08); display: flex; align-items: center; justify-content: center; flex-shrink: 0; margin-bottom: 16px; } .lca-icon-wrap svg { width: 24px; height: 24px; color: var(--primary); } .lca-grid-2 { display: grid; grid-template-columns: repeat(2, 1fr); gap: 24px; } .lca-grid-3 { display: grid; grid-template-columns: repeat(3, 1fr); gap: 24px; } .lca-grid-4 { display: grid; grid-template-columns: repeat(4, 1fr); gap: 16px; } .lca-bento { display: grid; grid-template-columns: 1fr 2fr; gap: 3rem; align-items: start; } .lca-bento-heading { position: sticky; top: 2rem; } .lca-split { display: grid; grid-template-columns: 1fr 2fr; gap: 4rem; align-items: start; } .lca-callout { background: var(--bg-light); border-left: 3px solid var(--primary); border-radius: 0 var(--radius-sm) var(--radius-sm) 0; padding: 24px 28px; } .lca-pill { display: inline-block; font-size: 0.75rem; font-weight: 600; color: var(--primary); background: rgba(96,97,246,0.08); padding: 4px 12px; border-radius: var(--radius-pill); text-transform: uppercase; letter-spacing: 0.05em; margin-bottom: 12px; } /* Testimonial Card */ .lca-testimonial-card { background: var(--bg-white); border-radius: var(--radius-card); border: 1px solid var(--border); box-shadow: var(--shadow-sm); padding: 36px 32px; } .lca-testimonial-quote { font-size: 1.1rem; color: var(--dark); line-height: 1.7; margin: 0 0 1.5rem; font-style: italic; } .lca-testimonial-author { font-size: 0.95rem; font-weight: 600; color: var(--dark); margin: 0; } .lca-testimonial-role { font-size: 0.85rem; color: var(--muted); margin: 0.25rem 0 0; } /* Tech Stack */ .lca-tech-grid { display: grid; grid-template-columns: repeat(4, 1fr); gap: 16px; } .lca-tech-card { background: var(--bg-white); border: 1px solid var(--border); border-radius: 16px; padding: 20px 16px; text-align: center; transition: transform 0.2s ease, box-shadow 0.2s ease; } .lca-tech-card:hover { transform: translateY(-4px); box-shadow: 0 8px 24px rgba(96,97,246,0.12); } .lca-tech-logo { width: 48px; height: 48px; object-fit: contain; margin: 0 auto 12px; display: block; transition: transform 0.2s ease; } .lca-tech-card:hover .lca-tech-logo { transform: scale(1.05); } .lca-tech-name { font-size: 0.9rem; font-weight: 600; color: var(--dark); margin: 0 0 6px; } .lca-tech-desc { font-size: 0.8rem; color: var(--body); margin: 0; line-height: 1.5; } /* 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uppercase; letter-spacing: 0.05em; margin: 0 0 8px; } .lca-price-range { font-size: clamp(1.5rem, 3vw, 2rem); font-weight: 700; color: var(--dark); margin: 0 0 8px; } .lca-price-timeline { font-size: 0.85rem; color: var(--muted); margin: 0 0 16px; } .lca-price-desc { font-size: 0.925rem; color: var(--body); line-height: 1.6; margin: 0 0 20px; flex-grow: 1; } .lca-price-features { list-style: none; padding: 0; margin: 0; } .lca-price-features li { font-size: 0.875rem; color: var(--body); padding: 6px 0; padding-left: 20px; position: relative; line-height: 1.5; } .lca-price-features li::before { content: ''; position: absolute; left: 0; top: 11px; width: 8px; height: 8px; border-radius: 50%; background: var(--primary); opacity: 0.5; } @media (max-width: 991px) { .lca-grid-3 { grid-template-columns: repeat(2, 1fr); } .lca-grid-4 { grid-template-columns: repeat(3, 1fr); } .lca-pricing-grid { grid-template-columns: 1fr; max-width: 440px; } .lca-price-card.popular { transform: none; } } @media (max-width: 767px) { .lca-grid-2, .lca-grid-3, .lca-grid-4, .lca-bento, .lca-split { grid-template-columns: 1fr; gap: 2rem; } .lca-bento-heading { position: static; } .lca-tech-grid { grid-template-columns: repeat(2, 1fr); } } </style> <div class='section_tech-stack' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem;'>Built on the tools that power <strong>modern AI.</strong></h2> <p class='lca-body' style='text-align:center;max-width:600px;margin:0 auto 3rem;'>We combine the best AI models with proven automation platforms to build agents that integrate with your existing stack.</p> <div class='lca-tech-grid'> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a82bfc1b0417f7c5b71_anthropic-logo.avif' alt='Anthropic'> <p class='lca-tech-name'>Anthropic Claude</p> <p class='lca-tech-desc'>Advanced reasoning and natural language understanding for complex agent workflows.</p> </div> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a7f955ff75bb230c542_openai-logo.avif' alt='OpenAI'> <p class='lca-tech-name'>OpenAI GPT-4</p> <p class='lca-tech-desc'>Industry-leading LLM powering natural conversations and intelligent decision-making.</p> </div> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a7f1a8f75ecd91331f3_n8n-logo.avif' alt='n8n'> <p class='lca-tech-name'>n8n</p> <p class='lca-tech-desc'>Open-source workflow automation for connecting agents to your entire tech stack.</p> </div> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a7f21d54a845ee9e952_make-logo.avif' alt='Make'> <p class='lca-tech-name'>Make</p> <p class='lca-tech-desc'>Visual workflow builder for orchestrating complex multi-step agent processes.</p> </div> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a7f3846022aab4e77f8_langchain-logo.avif' alt='LangChain'> <p class='lca-tech-name'>LangChain</p> <p class='lca-tech-desc'>Framework for building context-aware applications with LLMs and agent orchestration.</p> </div> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a8113b64d44d4c2be30_664877a4431d0fff81e639b1b3155c55_supabase-logo.avif' alt='Supabase'> <p class='lca-tech-name'>Supabase</p> <p class='lca-tech-desc'>PostgreSQL backend with real-time subscriptions for agent data persistence.</p> </div> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a827fe51d6e99cb9ac6_815e70863ace26f2de2d53c0a200c87b_pinecone-logo.avif' alt='Pinecone'> <p class='lca-tech-name'>Pinecone</p> <p class='lca-tech-desc'>Vector database for semantic search and RAG-powered knowledge retrieval.</p> </div> <div class='lca-tech-card'> <img class='lca-tech-logo' src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a82fa96fc2eb0abcf46_ead58bf288cfae4caa03cc113ea1c1aa_bubble-logo.avif' alt='Bubble'> <p class='lca-tech-name'>Bubble</p> <p class='lca-tech-desc'>No-code frontend for rapid agent interfaces and admin dashboards.</p> </div> </div> </div> </div> </div> <div class='section_pricing'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem;'>Investment <strong>options.</strong></h2> <p class='lca-body' style='text-align:center;max-width:600px;margin:0 auto 3rem;'>Flexible engagement options tailored to your AI agent needs.</p> <div class='lca-pricing-grid'> <div class='lca-price-card'> <p class='lca-price-tier'>Starter Agent</p> <p class='lca-price-range'>$10K – $20K</p> <p class='lca-price-timeline'>3–4 weeks</p> <p class='lca-price-desc'>Single-purpose AI agent with one platform integration and basic conversation handling.</p> <ul class='lca-price-features'> <li>Pre-built knowledge base setup</li> <li>Standard error handling</li> <li>Documentation</li> <li>14 days post-launch support</li> </ul> </div> <div class='lca-price-card popular'> <span class='lca-price-badge'>Most common</span> <p class='lca-price-tier'>Professional Agent System</p> <p class='lca-price-range'>$20K – $45K</p> <p class='lca-price-timeline'>4–6 weeks</p> <p class='lca-price-desc'>Multi-capability agent with up to 5 integrations, RAG retrieval, and custom workflows.</p> <ul class='lca-price-features'> <li>Up to 5 platform integrations</li> <li>RAG-powered knowledge retrieval</li> <li>Advanced error handling and fallbacks</li> <li>Monitoring dashboard</li> <li>30 days post-launch support</li> </ul> </div> <div class='lca-price-card'> <p class='lca-price-tier'>Enterprise AI Workforce</p> <p class='lca-price-range'>$45K – $100K+</p> <p class='lca-price-timeline'>6–10 weeks</p> <p class='lca-price-desc'>Multi-agent system with orchestration, unlimited integrations, and enterprise security.</p> <ul class='lca-price-features'> <li>Multi-agent orchestration</li> <li>Unlimited integrations</li> <li>SOC 2 / HIPAA compliance</li> <li>Human-in-the-loop escalation</li> <li>60 days post-launch support</li> </ul> </div> </div> </div> </div> </div> <div class='section_factors' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <h2 class='lca-h2'>What drives <strong>investment.</strong></h2> <p class='lca-body' style='margin-top:1rem;'>Four key factors that determine scope and cost for your AI agent project.</p> </div> <div class='lca-grid-2'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M9.594 3.94c.09-.542.56-.94 1.11-.94h2.593c.55 0 1.02.398 1.11.94l.213 1.281c.063.374.313.686.645.87.074.04.147.083.22.127.324.196.72.257 1.075.124l1.217-.456a1.125 1.125 0 011.37.49l1.296 2.247a1.125 1.125 0 01-.26 1.431l-1.003.827c-.293.24-.438.613-.431.992a6.759 6.759 0 010 .255c-.007.378.138.75.43.99l1.005.828c.424.35.534.954.26 1.43l-1.298 2.247a1.125 1.125 0 01-1.369.491l-1.217-.456c-.355-.133-.75-.072-1.076.124a6.57 6.57 0 01-.22.128c-.331.183-.581.495-.644.869l-.213 1.28c-.09.543-.56.941-1.11.941h-2.594c-.55 0-1.02-.398-1.11-.94l-.213-1.281c-.062-.374-.312-.686-.644-.87a6.52 6.52 0 01-.22-.127c-.325-.196-.72-.257-1.076-.124l-1.217.456a1.125 1.125 0 01-1.369-.49l-1.297-2.247a1.125 1.125 0 01.26-1.431l1.004-.827c.292-.24.437-.613.43-.992a6.932 6.932 0 010-.255c.007-.378-.138-.75-.43-.99l-1.004-.828a1.125 1.125 0 01-.26-1.43l1.297-2.247a1.125 1.125 0 011.37-.491l1.216.456c.356.133.751.072 1.076-.124.072-.044.146-.087.22-.128.332-.183.582-.495.644-.869l.214-1.281z'/></svg> </div> <h3 class='lca-h3'>Agent Complexity</h3> <p class='lca-body'>Number of tasks the agent handles, decision-making depth, and multi-step workflow orchestration requirements.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M13.19 8.688a4.5 4.5 0 011.242 7.244l-4.5 4.5a4.5 4.5 0 01-6.364-6.364l1.757-1.757m13.35-.622l1.757-1.757a4.5 4.5 0 00-6.364-6.364l-4.5 4.5a4.5 4.5 0 001.242 7.244'/></svg> </div> <h3 class='lca-h3'>Integrations</h3> <p class='lca-body'>Number of external systems (CRM, email, databases, APIs) the agent needs to connect to and act within.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M20.25 6.375c0 2.278-3.694 4.125-8.25 4.125S3.75 8.653 3.75 6.375m16.5 0c0-2.278-3.694-4.125-8.25-4.125S3.75 4.097 3.75 6.375m16.5 0v11.25c0 2.278-3.694 4.125-8.25 4.125s-8.25-1.847-8.25-4.125V6.375m16.5 0v3.75m-16.5-3.75v3.75m16.5 0v3.75C20.25 16.153 16.556 18 12 18s-8.25-1.847-8.25-4.125v-3.75m16.5 0c0 2.278-3.694 4.125-8.25 4.125s-8.25-1.847-8.25-4.125'/></svg> </div> <h3 class='lca-h3'>Knowledge Base Size</h3> <p class='lca-body'>Volume of documents, policies, and data the agent needs to learn from — affects RAG setup and vector database costs.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M9 12.75L11.25 15 15 9.75m-3-7.036A11.959 11.959 0 013.598 6 11.99 11.99 0 003 9.749c0 5.592 3.824 10.29 9 11.623 5.176-1.332 9-6.03 9-11.622 0-1.31-.21-2.571-.598-3.751h-.152c-3.196 0-6.1-1.248-8.25-3.285z'/></svg> </div> <h3 class='lca-h3'>Compliance Requirements</h3> <p class='lca-body'>Industry-specific requirements (HIPAA, SOC 2, GDPR) that add security layers and audit trails to the agent system.</p> </div> </div> </div> </div> <div class='section_results' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div style='text-align: center; max-width: 700px; margin: 0 auto 3rem;'> <h2 class='lca-h2'>From 4 hours to <strong>5 minutes.</strong></h2> <p class='lca-body' style='margin-top:1rem;'>Real results from AI agent deployment.</p> </div> <div style='background: var(--bg-white); border-radius: var(--radius-card); border: 1px solid var(--border); padding: 48px; text-align: center; max-width: 800px; margin: 0 auto;'> <p class='lca-body' style='font-size: 1.25rem; font-style: italic; color: var(--dark); line-height: 1.6; margin-bottom: 2rem;'>LowCode Agency built an AI agent that handles 80% of our inbound support questions. Response time went from hours to seconds, and our team finally has time for high-value work.</p> <div style='display: flex; justify-content: center; gap: 4rem;'> <div style='text-align: center;'> <p style='font-size: 2.5rem; font-weight: 700; color: var(--primary); margin: 0;'>80%</p> <p style='font-size: 0.9rem; color: var(--muted); margin: 0.5rem 0 0;'>support inquiries handled</p> </div> <div style='text-align: center;'> <p style='font-size: 2.5rem; font-weight: 700; color: var(--primary); margin: 0;'>5 min</p> <p style='font-size: 0.9rem; color: var(--muted); margin: 0.5rem 0 0;'>response time</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class='section_benefits'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='text-align:center;margin-bottom:3rem;'>What you get with our AI <strong>agents.</strong></h2> <div class='lca-grid-3'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M3.75 13.5l10.5-11.25L12 10.5h8.25L9.75 21.75 12 13.5H3.75z'/></svg> </div> <h3 class='lca-h3'>Agents that take action</h3> <p class='lca-body'>Not chatbots — AI agents that update CRMs, send emails, process documents, and complete workflows autonomously.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M13.19 8.688a4.5 4.5 0 011.242 7.244l-4.5 4.5a4.5 4.5 0 01-6.364-6.364l1.757-1.757m13.35-.622l1.757-1.757a4.5 4.5 0 00-6.364-6.364l-4.5 4.5a4.5 4.5 0 001.242 7.244'/></svg> </div> <h3 class='lca-h3'>Built on your tools</h3> <p class='lca-body'>Agents integrate with Slack, HubSpot, Salesforce, Google Workspace, Notion, and your existing tech stack.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M12 6v6h4.5m4.5 0a9 9 0 11-18 0 9 9 0 0118 0z'/></svg> </div> <h3 class='lca-h3'>Deployed in weeks</h3> <p class='lca-body'>Our proven process, refined across 330+ projects, gets your AI agents live in 4–6 weeks — not 6 months.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M15 19.128a9.38 9.38 0 002.625.372 9.337 9.337 0 004.121-.952 4.125 4.125 0 00-7.533-2.493M15 19.128v-.003c0-1.113-.285-2.16-.786-3.07M15 19.128v.106A12.318 12.318 0 018.624 21c-2.331 0-4.512-.645-6.374-1.766l-.001-.109a6.375 6.375 0 0111.964-3.07M12 6.375a3.375 3.375 0 11-6.75 0 3.375 3.375 0 016.75 0zm8.25 2.25a2.625 2.625 0 11-5.25 0 2.625 2.625 0 015.25 0z'/></svg> </div> <h3 class='lca-h3'>Human-in-the-loop</h3> <p class='lca-body'>Agents escalate edge cases to your team with full context. You stay in control of every critical decision.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M4.26 10.147a60.436 60.436 0 00-.491 6.347A48.627 48.627 0 0112 20.904a48.627 48.627 0 018.232-4.41 60.46 60.46 0 00-.491-6.347m-15.482 0a50.57 50.57 0 00-2.658-.813A59.905 59.905 0 0112 3.493a59.902 59.902 0 0110.499 5.221 69.181 69.181 0 00-2.658.814m-15.482 0A50.697 50.697 0 0112 13.489a48.661 48.661 0 017.324 0 50.686 50.686 0 01-7.324 0z'/></svg> </div> <h3 class='lca-h3'>Learns your business</h3> <p class='lca-body'>Agents are trained on your data, documentation, and workflows — not generic models. They get smarter over time.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M7.5 14.25v2.25m3-4.5v4.5m3-6.75v6.75m3-9v9M6 20.25h12A2.25 2.25 0 0020.25 18V6A2.25 2.25 0 0018 3.75H6A2.25 2.25 0 003.75 6v12A2.25 2.25 0 006 20.25z'/></svg> </div> <h3 class='lca-h3'>Measurable ROI</h3> <p class='lca-body'>Track hours saved, tickets resolved, leads qualified, and cost reduction from day one with built-in analytics.</p> </div> </div> </div> </div> </div>

<style> :root { --primary: #6061f6; --accent: #c5ef48; --dark: #111827; --body: #4b5563; --muted: #6b7280; --bg-light: #f8f9fa; --bg-white: #ffffff; --bg-tint: #fafbff; --border: rgba(0,0,0,0.06); --shadow-sm: 0 4px 24px rgba(0,0,0,0.05); --shadow-md: 0 12px 40px rgba(96,97,246,0.10); --radius-card: 20px; --radius-sm: 12px; } * { font-family: 'Inter', sans-serif; } .lca-h2 { font-size: clamp(1.5rem, 3vw, 2.25rem); font-weight: 400; color: var(--dark); margin: 0 0 1rem 0; letter-spacing: -0.02em; line-height: 1.2; } .lca-h2 strong { font-weight: 700; color: var(--primary); } .lca-body { font-size: clamp(0.875rem, 1.4vw, 0.975rem); color: var(--body); line-height: 1.7; margin: 0; } /* FAQ Accordion - LOCKED DESIGN */ .lca-faqs-section { padding: 5rem 5% 6rem 5%; background: var(--bg-white); border-top: 1px solid #f0f0f0; } .lca-faqs-grid { display: grid; grid-template-columns: 1fr 2fr; gap: 4rem; align-items: start; } .lca-faq-list { display: flex; flex-direction: column; } .lca-faq-item { border-bottom: 1px solid #eaeaea; } .lca-faq-trigger { display: flex; justify-content: space-between; align-items: center; padding: 1.5rem 0; cursor: pointer; width: 100%; background: none; border: none; text-align: left; } .lca-faq-trigger:hover h3 { color: var(--primary); } .lca-faq-trigger h3 { font-size: 1.05rem; font-weight: 600; color: var(--dark); margin: 0; padding-right: 1.5rem; transition: color 0.2s; line-height: 1.4; } .lca-faq-arrow { width: 24px; height: 24px; flex-shrink: 0; transition: transform 0.3s cubic-bezier(0.4, 0, 0.2, 1); color: var(--primary); } .lca-faq-item[data-open='true'] .lca-faq-arrow { transform: rotate(180deg); } .lca-faq-collapse { overflow: hidden; height: 0; transition: height 0.3s cubic-bezier(0.4, 0, 0.2, 1); } .lca-faq-answer { padding: 0 0 1.5rem 0; } .lca-faq-answer p { font-size: 0.975rem; color: var(--body); margin: 0; line-height: 1.7; } @media (max-width: 767px) { .lca-faqs-grid { grid-template-columns: 1fr; gap: 2rem; } } </style> <div class='section_faqs'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-faqs-grid'> <div> <h2 class='lca-h2'>We get asked this <strong>all the time.</strong></h2> <p class='lca-body' style='margin-top:1rem'>Straightforward answers to the questions we hear most from clients exploring AI agents.</p> </div> <div class='lca-faq-list'> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>What is an AI agent, and how is it different from a chatbot?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>A chatbot follows scripts and answers questions. An AI agent takes action — it reads emails, updates databases, processes documents, qualifies leads, and executes multi-step workflows autonomously. Our agents operate inside your existing tools and make decisions based on your business rules and data.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>What types of AI agents can you build?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>We build customer support agents, sales and lead qualification agents, document processing agents, data analysis agents, workflow orchestration agents, and knowledge base assistants. Each agent is custom-built around your specific business processes and integrations.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>How long does it take to build and deploy an AI agent?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>A single-purpose agent typically takes 3–4 weeks. Multi-agent systems with complex integrations take 6–10 weeks. Our process includes discovery, design, development, testing, and deployment — with weekly check-ins throughout.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>Will my team need technical expertise to manage the AI agents?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>No. We build agents with user-friendly monitoring dashboards and clear escalation paths. Your team interacts with agents through familiar tools like Slack, email, or your CRM. We also provide training and documentation so your team can manage and update agent behavior without writing code.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>Is my business data safe with AI agents?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Yes. We implement enterprise-grade security including data encryption, access controls, and audit logging. AI agents only access the data and systems you authorize. For regulated industries, we build compliance-ready architectures (HIPAA, SOC 2, GDPR). Your data is never used to train external models.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>What happens when an AI agent can't handle a request?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Every agent we build includes intelligent escalation. When an agent encounters an edge case or a request outside its scope, it routes the conversation to a human team member with full context — including the conversation history, relevant documents, and a recommended action. Nothing falls through the cracks.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>How much do AI agents cost to maintain after launch?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Ongoing costs include AI model API usage (typically $200–$2,000/month depending on volume), hosting, and optional maintenance support. We provide transparent cost projections during discovery so there are no surprises. Most clients see ROI within the first month of deployment.</p></div></div> </div> </div> </div> </div> </div> </div> <script> (function(){var d=300;function o(i){var c=i.querySelector('.lca-faq-collapse');if(!c)return;i.dataset.open='true';c.style.overflow='hidden';c.style.height='0px';requestAnimationFrame(function(){c.style.height=c.scrollHeight+'px';setTimeout(function(){if(i.dataset.open==='true'){c.style.height='auto';}},d);});}function f(i){var c=i.querySelector('.lca-faq-collapse');if(!c)return;i.dataset.open='false';c.style.overflow='hidden';c.style.height=c.getBoundingClientRect().height+'px';requestAnimationFrame(function(){c.style.height='0px';});}var w=document.querySelectorAll('.lca-faq-list');w.forEach(function(l){var items=Array.prototype.slice.call(l.querySelectorAll('.lca-faq-item'));items.forEach(function(i){var t=i.querySelector('.lca-faq-trigger');var c=i.querySelector('.lca-faq-collapse');if(!t||!c)return;i.dataset.open='false';c.style.overflow='hidden';c.style.height='0px';c.style.transition='height '+d+'ms cubic-bezier(0.4, 0, 0.2, 1)';t.addEventListener('click',function(e){e.preventDefault();var s=i.dataset.open==='true';items.forEach(function(x){if(x!==i&&x.dataset.open==='true')f(x);});s?f(i):o(i);});});});})(); </script>