AI investment without strategy produces demos, not outcomes. Most companies pick an obvious use case without metrics and measure nothing afterward.
The organizations extracting real value mapped their workflows first, identified where AI changes economics, and built for specific outcomes.
We do AI consulting because we have seen what happens without it. Our work ensures development succeeds — whether we build or someone else does.
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We fix that before development starts.</p> </div> <div class='lca-callout'> <p class='lca-body'>We do AI consulting because we've seen what happens without it: projects that solve the wrong problem, implementations that can't prove value, AI features that users ignore. Our consulting work ensures development succeeds.</p> </div> </div> </div> </div> </div> <div class='section_when-consulting' 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'>When we choose AI <strong>consulting.</strong></h2> <p class='lca-body' style='margin-top:1rem'>The scenarios where strategy work delivers more value than jumping straight to development.</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='M12 6v6h4.5m4.5 0a9 9 0 11-18 0 9 9 0 0118 0z'/></svg></div><h3 class='lca-h3'>You know AI is important but not where to start</h3><p class='lca-body'>AI can do many things. Knowing which things matter for your business requires understanding workflows, data, constraints, and opportunities. We provide structured exploration leading to clear priorities.</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'>You've tried AI tools but can't prove ROI</h3><p class='lca-body'>Pilots that don't become production. Features that don't get used. Investments that can't be justified. We diagnose what went wrong and chart a path to measurable value.</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 21L3 16.5m0 0L7.5 12M3 16.5h13.5m0-13.5L21 7.5m0 0L16.5 12M21 7.5H7.5'/></svg></div><h3 class='lca-h3'>You need to evaluate build vs buy</h3><p class='lca-body'>Off-the-shelf AI tools, custom development, platform integrations, hybrid approaches. The right answer depends on your needs, constraints, and capabilities. We provide objective evaluation.</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='M19.5 14.25v-2.625a3.375 3.375 0 00-3.375-3.375h-1.5A1.125 1.125 0 0113.5 7.125v-1.5a3.375 3.375 0 00-3.375-3.375H8.25m0 12.75h7.5m-7.5 3h12'/></svg></div><h3 class='lca-h3'>Stakeholders need a structured case before approving investment</h3><p class='lca-body'>AI projects need organizational buy-in. We build the business case — clear use cases, expected value, technical approach, cost projections — that enables informed decisions.</p></div> </div> </div> </div> </div> </div> <div class='section_what-consulting'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem'>What AI consulting <strong>delivers.</strong></h2> <p class='lca-body' style='text-align:center;max-width:600px;margin:0 auto 3rem'>Actionable strategy — not frameworks and research reports, but implementation-ready direction.</p> <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='M2.036 12.322a1.012 1.012 0 010-.639C3.423 7.51 7.36 4.5 12 4.5c4.638 0 8.573 3.007 9.963 7.178.07.207.07.431 0 .639C20.577 16.49 16.64 19.5 12 19.5c-4.638 0-8.573-3.007-9.963-7.178z'/><path stroke-linecap='round' stroke-linejoin='round' d='M15 12a3 3 0 11-6 0 3 3 0 016 0z'/></svg></div><h3 class='lca-h3'>AI Readiness Assessment</h3><p class='lca-body'>Evaluation of your organization's preparedness for AI adoption. Data availability and quality, technical infrastructure, team capabilities, organizational readiness.</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='M3.75 6.75h16.5M3.75 12h16.5m-16.5 5.25h16.5'/></svg></div><h3 class='lca-h3'>Use Case Identification & Prioritization</h3><p class='lca-body'>Systematic identification of AI opportunities across your business. Evaluation based on potential value, feasibility, data requirements, and complexity. Prioritized roadmap of what to pursue first.</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 21L3 16.5m0 0L7.5 12M3 16.5h13.5m0-13.5L21 7.5m0 0L16.5 12M21 7.5H7.5'/></svg></div><h3 class='lca-h3'>Build vs Buy Analysis</h3><p class='lca-body'>Objective evaluation of whether to build custom AI, buy off-the-shelf tools, or pursue hybrid approaches based on your specific requirements and long-term strategy.</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='M9.53 16.122a3 3 0 00-5.78 1.128 2.25 2.25 0 01-2.4 2.245 4.5 4.5 0 008.4-2.245c0-.399-.078-.78-.22-1.128zm0 0a15.998 15.998 0 003.388-1.62m-5.048 4.025a3 3 0 01-4.293 0l1.414-1.415a.75.75 0 111.06 1.06l-1.414 1.415zm3.388-1.62a15.998 15.998 0 001.62-3.388m-1.62 3.388a.75.75 0 11-1.06 1.06l1.414-1.414a.75.75 0 011.06 1.06l-1.414 1.414z'/></svg></div><h3 class='lca-h3'>Technical Architecture Recommendations</h3><p class='lca-body'>High-level architecture for AI implementation. Model selection, data pipeline design, integration approach, infrastructure requirements. Technical direction development teams can execute.</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='M10.5 6h9.75M10.5 6a1.5 1.5 0 11-3 0m3 0a1.5 1.5 0 10-3 0M3.75 6H7.5m3 12h9.75m-9.75 0a1.5 1.5 0 01-3 0m3 0a1.5 1.5 0 00-3 0m-3.75 0H7.5m9-6h3.75m-3.75 0a1.5 1.5 0 01-3 0m3 0a1.5 1.5 0 00-3 0m-9.75 0h9.75'/></svg></div><h3 class='lca-h3'>AI Vendor & Tool Evaluation</h3><p class='lca-body'>Assessment of AI tools and vendors against your requirements. Hands-on evaluation, proof-of-concept testing, comparison frameworks. Recommendations based on actual fit.</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 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 002.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 00-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664 0 .414.336.75.75.75h4.5a.75.75 0 00.75-.75 2.25 2.25 0 00-.1-.664m-5.8 0A2.251 2.251 0 0113.5 2.25H15a2.25 2.25 0 012.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V18c0 .834.469 1.58 1.155 1.951m9.345-8.334V18c0 1.15-.746 2.148-1.825 2.384'/></svg></div><h3 class='lca-h3'>Implementation Roadmap & Business Case</h3><p class='lca-body'>Detailed plan for AI implementation. Phased roadmap, resource requirements, timeline, cost projections, expected ROI. The document that gets projects approved and keeps them on track.</p></div> </div> </div> </div> </div> <div class='section_who-consulting' 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'>Who AI consulting is <strong>for.</strong></h2> <p class='lca-body' style='margin-top:1rem'><span class='lca-pill lca-pill-green'>Ideal Fit</span></p> </div> <div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem'><span class='lca-step-num'>1</span><div><h3 class='lca-h3'>Leadership Teams Evaluating AI Investment</h3><p class='lca-body'>You're deciding whether and how to invest in AI. You need objective assessment, not vendor pitches. You want to understand realistic opportunities before committing resources.</p></div></div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem'><span class='lca-step-num'>2</span><div><h3 class='lca-h3'>Organizations with Failed AI Initiatives</h3><p class='lca-body'>You've tried AI and it didn't work. You're not sure why. Before trying again, you need diagnosis and a different approach informed by implementation experience.</p></div></div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem'><span class='lca-step-num'>3</span><div><h3 class='lca-h3'>Companies with AI Ambitions but No Clear Path</h3><p class='lca-body'>You know AI is important to your future. You've read the articles and seen the demos. But you don't know what AI should actually do for your specific business.</p></div></div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem'><span class='lca-step-num'>4</span><div><h3 class='lca-h3'>Technical Teams Needing Strategic Direction</h3><p class='lca-body'>You can build things. You're not sure what to build first or how to prioritize. You need strategic framework to guide technical decisions and focus effort where it matters most.</p></div></div> <div class='lca-callout-dark' style='margin-top:24px'><h3 class='lca-h3'>Not the right fit if</h3><p class='lca-body'>You already have clear use cases and technical direction and just need execution. Or you want academic research rather than practitioner insight. Skip consulting and start building.</p></div> </div> </div> </div> </div> </div>
Success Stories
Case Study
AI Employees
We built this for ourselves because I wouldn’t ask a client to trust something we hadn’t lived through first. Every failure mode, every edge case, every calibration, we hit all of it. That’s what makes us the right team to build this for someone else.
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Our consulting comes from implementation experience, not frameworks and research reports. We know what works in production, what fails, and what questions need answers before development starts.</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'>Do you require using LowCode Agency for implementation?</h3><p class='lca-body'>No. Our deliverables are designed to be actionable regardless of who implements. If you want us to build it, we can. If you want someone else to, the strategy work stands on its own.</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'>How long does a consulting engagement take?</h3><p class='lca-body'>Focused workshops run 1-2 weeks. Full strategy engagements run 3-6 weeks depending on scope and organization complexity. We scope based on what you need to know to make decisions, not how much time we can bill.</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='M19.5 14.25v-2.625a3.375 3.375 0 00-3.375-3.375h-1.5A1.125 1.125 0 0113.5 7.125v-1.5a3.375 3.375 0 00-3.375-3.375H8.25m0 12.75h7.5m-7.5 3h12'/></svg></div><h3 class='lca-h3'>What do we get at the end of an engagement?</h3><p class='lca-body'>Documented findings, prioritized recommendations, architecture direction, and implementation roadmap. Everything in writing, detailed enough to act on — whether you implement internally or with a development partner.</p></div> </div> </div> </div> </div> </div> <div class='section_process'> <div class='padding-global padding-section-large'> <div class='container-medium'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem'>Our consulting <strong>process.</strong></h2> <p class='lca-body' style='text-align:center;max-width:550px;margin:0 auto 3rem'>Structured engagement that produces actionable direction, not just observations.</p> <div class='lca-steps'> <div class='lca-step'><div class='lca-step-timeline-num'>1</div><div class='lca-step-content'><h3 class='lca-h3'>Scoping & Objectives</h3><p class='lca-body'>Understand what you're trying to decide. What questions need answers? What decisions are pending? Clear objectives ensure the engagement produces useful outputs.</p><div class='lca-step-tags'><span>1 week</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>2</div><div class='lca-step-content'><h3 class='lca-h3'>Discovery & Assessment</h3><p class='lca-body'>Structured investigation of your business, workflows, data, technology, and constraints. Interviews, documentation review, system assessment. Understanding current state before recommending changes.</p><div class='lca-step-tags'><span>1-2 weeks</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>3</div><div class='lca-step-content'><h3 class='lca-h3'>Analysis & Synthesis</h3><p class='lca-body'>Analyze findings against AI capabilities and your objectives. Where does AI add value? What's feasible with your data? Analysis produces insights, not just observations.</p><div class='lca-step-tags'><span>1 week</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>4</div><div class='lca-step-content'><h3 class='lca-h3'>Recommendations & Roadmap</h3><p class='lca-body'>Clear, prioritized recommendations with rationale. Not just what to do, but why, what it requires, and what to expect. Roadmap provides sequence, dependencies, and decision points.</p><div class='lca-step-tags'><span>1 week</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>5</div><div class='lca-step-content'><h3 class='lca-h3'>Presentation & Alignment</h3><p class='lca-body'>Present findings to stakeholders and ensure alignment. Questions get answered. Concerns get addressed. Engagement ends with shared understanding and clear next steps.</p><div class='lca-step-tags'><span>Final session</span></div></div></div> </div> </div> </div> </div> <div class='section_pricing' 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'>AI consulting <strong>engagement models.</strong></h2> <p class='lca-body' style='text-align:center;max-width:600px;margin:0 auto 3rem'>From focused workshops to ongoing advisory — engagements scoped to what you need to decide.</p> <div class='lca-pricing-grid'> <div class='lca-price-card'><p class='lca-price-tier'>AI Readiness Workshop</p><p class='lca-price-range'>$3K – $8K</p><p class='lca-price-timeline'>1-2 weeks</p><p class='lca-price-desc'>Focused session with AI landscape overview, initial opportunity identification, and immediate next steps.</p><ul class='lca-price-features'><li>Facilitated session (half or full day)</li><li>AI landscape overview for your industry</li><li>Initial opportunity identification</li><li>Immediate next steps recommendations</li></ul></div> <div class='lca-price-card popular'><span class='lca-price-badge'>Most Common</span><p class='lca-price-tier'>Full AI Strategy Engagement</p><p class='lca-price-range'>$8K – $20K</p><p class='lca-price-timeline'>3-6 weeks</p><p class='lca-price-desc'>Comprehensive discovery, use case prioritization, build vs buy analysis, and implementation roadmap.</p><ul class='lca-price-features'><li>Comprehensive discovery and assessment</li><li>Use case identification and prioritization</li><li>Build vs buy analysis</li><li>Technical architecture direction</li><li>Implementation roadmap and business case</li></ul></div> <div class='lca-price-card'><p class='lca-price-tier'>Ongoing AI Advisory</p><p class='lca-price-range'>$3K – $8K/mo</p><p class='lca-price-timeline'>Monthly retainer</p><p class='lca-price-desc'>Regular strategic check-ins, evaluation of new AI developments, and ongoing implementation guidance.</p><ul class='lca-price-features'><li>Regular strategic check-ins</li><li>New AI development evaluation</li><li>Implementation guidance</li><li>Vendor evaluation support</li><li>Technical architecture consultation</li></ul></div> </div> </div> </div> </div> <script> (function(){var steps=document.querySelectorAll('.lca-steps .lca-step');if(!steps.length)return;var observer=new IntersectionObserver(function(entries){entries.forEach(function(entry){if(entry.isIntersecting){entry.target.classList.add('lca-visible');}});},{threshold:0.15});steps.forEach(function(step){observer.observe(step);});})(); </script>
What you get with us
Tailored Solutions
Every engagement scoped to your specific decisions and context. No generic frameworks — we evaluate your actual situation.
Integrations
Assessment of your technology stack, data infrastructure, and integration landscape. Recommendations account for what you have and need.
AI & Automation
Evaluating AI across the full spectrum — generative, RAG, agents, predictive, vision, conversational — against your specific needs.
Timeline
Readiness workshop: 1–2 weeks. Full strategy: 3–6 weeks. Advisory retainer: monthly. Scoped to decisions, not billable hours.
Our Team
Practitioners who build AI daily. Recommendations from implementation experience — knowing what works in production and what to ask.
Ongoing Support
Regular check-ins, evaluation of new AI developments, implementation guidance, and vendor evaluation as you build AI capability.
Ready for clarity on AI?
We start by understanding your business end to end. The platform we choose to build what you need comes after clarity.
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Strategy led directly to successful product development.</p><div class='lca-testimonial-metrics'><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>Clear</span><span class='lca-testimonial-metric-label'>use case prioritization</span></div><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>On time</span><span class='lca-testimonial-metric-label'>product launch</span></div></div></div> <div class='lca-testimonial-card'><span class='lca-testimonial-tag'>Enterprise</span><h3 class='lca-testimonial-title'>Enterprise AI Roadmap — Client Project</h3><p class='lca-testimonial-desc'>Organization-wide AI assessment with multiple departments experimenting independently. Developed unified AI strategy with shared infrastructure and governance framework.</p><div class='lca-testimonial-metrics'><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>6</span><span class='lca-testimonial-metric-label'>initiatives consolidated</span></div><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>40%</span><span class='lca-testimonial-metric-label'>per-project cost reduction</span></div></div></div> <div class='lca-testimonial-card' style='grid-column:1/-1'><span class='lca-testimonial-tag'>Build vs Buy</span><h3 class='lca-testimonial-title'>Build vs Buy Analysis — Client Project</h3><p class='lca-testimonial-desc'>Company needed AI-powered document processing but couldn't determine whether to build custom or use existing platforms. Structured evaluation with vendor testing and custom build assessment saved 4+ months.</p><div class='lca-testimonial-metrics'><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>4+ mo</span><span class='lca-testimonial-metric-label'>saved from wrong approach</span></div><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>Vendor</span><span class='lca-testimonial-metric-label'>selection based on testing</span></div></div></div> </div> </div> </div> </div> <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 about AI consulting.</p></div> <div class='lca-faq-list'> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>Is AI consulting worth it, or should we just start building?</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>Depends on your situation. If you have clear use cases and technical direction, start building. If you're uncertain what to build or have had AI initiatives fail, consulting investment typically saves multiples in avoided development waste.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>What if consulting reveals AI isn't right for us?</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>That's a valid outcome. AI isn't the right solution for every problem. If assessment reveals better approaches, we'll recommend those. Our goal is your success, not selling AI development.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>How do you ensure recommendations are unbiased?</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 don't have vendor relationships or referral arrangements. Our recommendations come from what we've seen work, not who pays us. And we explicitly don't require you to use us for implementation.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>What's the typical ROI on AI consulting?</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>ROI comes from avoiding wrong investments and accelerating right ones. Clients typically report that strategy work saved months of development time and prevented investment in solutions that wouldn't have worked.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>How technical do our people need to be?</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 work at the level of your team. Strategic engagement requires business understanding, not technical depth. We translate between business needs and technical possibilities.</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>