AI agents that work like your best employees

We build custom AI agents that handle real work — answering customers, qualifying leads, processing documents, and running workflows — deployed on your existing tools in weeks, not months.

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Trusted by hundreds of businesses

QCells
American Express
Coca-Cola
Sotheby's International Realty
Zapier
Margaritaville
Somewhere
Dataiku
medtronic
Herzig
Altriarch

When manual work drains your business

Your best people spend hours on repetitive tasks. Every hour on routine work is an hour not spent on strategy.

Off-the-shelf chatbots feel like demos. They answer questions but never take real action.

Enterprise consultancies quote six figures and six months. You need AI that works now.

We build AI agents that update systems, process documents, and complete workflows autonomously inside your tools.

Your team is stuck doing work that AI should handle.

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.

The Chatbot Problem

Off-the-shelf chatbots feel like demos. They answer questions but never take real action inside your business.

The Enterprise Problem

AI consultancies quote six figures and six months. You need AI agents connected to your tools, trained on your data, deployed fast.

AI agents that take real action.

Not chatbots that point people to a FAQ. AI agents that update CRMs, send emails, process documents, and complete workflows autonomously.

Customer-Facing AI Agents

Handle support conversations, answer product questions, route complex issues to humans, and resolve tickets autonomously — 24/7 across chat, email, and voice.

Sales & Lead AI Agents

Qualify inbound leads, respond to inquiries instantly, book meetings, follow up with prospects, and enrich CRM records — so your sales team focuses on closing.

Operations & Workflow Agents

Process documents, extract data, update systems, generate reports, manage approvals, and orchestrate multi-step workflows — eliminating manual back-office work.

Knowledge & Data Agents

Search across your documents, databases, and tools to surface answers, generate insights, summarize meeting notes — powered by RAG and your proprietary data.

Who is an AI agent for?

AI agents deliver value for specific organizational contexts and challenges.

Ideal Fit
1

Teams Drowning in Repetitive Work

Support staff spending hours on routine tickets, sales teams manually qualifying leads, ops teams copying data between systems.

2

Companies with Clear Processes

Organizations with documented workflows, approval chains, and decision trees that AI can learn and execute autonomously.

3

Businesses Handling Sensitive Data

Teams that need AI with enterprise security, compliance controls, and human-in-the-loop escalation for critical decisions.

4

Organizations Ready to Scale

Companies with growing workloads that can't scale by hiring alone — where AI agents multiply team capacity without multiplying headcount.

Not the Right Fit If

You need a simple FAQ bot, want AI for one-off tasks only, or have no documented processes. We build agents that handle real work — not chatbots that redirect to help docs.

Success Stories

Case Study

Stylecraft

The system gave us back control,” said Collins. “For decades, we accepted the chaos as part of doing business. Now we can see every piece, every movement, every opportunity. It’s completely changed how we operate.

45%
reduction in time spent locating samples
70%
increase in simultaneous project management capacity
Managing Director
Anthony Collins

Read Case Study

Built on the tools that power modern AI.

We combine the best AI models with proven automation platforms to build agents that integrate with your existing stack.

Anthropic Claude

Advanced reasoning and natural language understanding for complex agent workflows.

OpenAI GPT-4

Industry-leading LLM powering natural conversations and intelligent decision-making.

n8n

Open-source workflow automation for connecting agents to your entire tech stack.

Make

Visual workflow builder for orchestrating complex multi-step agent processes.

LangChain

Framework for building context-aware applications with LLMs and agent orchestration.

Supabase

PostgreSQL backend with real-time subscriptions for agent data persistence.

Pinecone

Vector database for semantic search and RAG-powered knowledge retrieval.

Bubble

No-code frontend for rapid agent interfaces and admin dashboards.

Investment options.

Flexible engagement options tailored to your AI agent needs.

Starter Agent

$10K – $20K

3–4 weeks

Single-purpose AI agent with one platform integration and basic conversation handling.

  • Pre-built knowledge base setup
  • Standard error handling
  • Documentation
  • 14 days post-launch support
Most common

Professional Agent System

$20K – $45K

4–6 weeks

Multi-capability agent with up to 5 integrations, RAG retrieval, and custom workflows.

  • Up to 5 platform integrations
  • RAG-powered knowledge retrieval
  • Advanced error handling and fallbacks
  • Monitoring dashboard
  • 30 days post-launch support

Enterprise AI Workforce

$45K – $100K+

6–10 weeks

Multi-agent system with orchestration, unlimited integrations, and enterprise security.

  • Multi-agent orchestration
  • Unlimited integrations
  • SOC 2 / HIPAA compliance
  • Human-in-the-loop escalation
  • 60 days post-launch support

What drives investment.

Four key factors that determine scope and cost for your AI agent project.

Agent Complexity

Number of tasks the agent handles, decision-making depth, and multi-step workflow orchestration requirements.

Integrations

Number of external systems (CRM, email, databases, APIs) the agent needs to connect to and act within.

Knowledge Base Size

Volume of documents, policies, and data the agent needs to learn from — affects RAG setup and vector database costs.

Compliance Requirements

Industry-specific requirements (HIPAA, SOC 2, GDPR) that add security layers and audit trails to the agent system.

From 4 hours to 5 minutes.

Real results from AI agent deployment.

"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."

80%

support inquiries handled

5 min

response time

What you get with our AI agents.

Agents that take action

Not chatbots — AI agents that update CRMs, send emails, process documents, and complete workflows autonomously.

Built on your tools

Agents integrate with Slack, HubSpot, Salesforce, Google Workspace, Notion, and your existing tech stack.

Deployed in weeks

Our proven process, refined across 330+ projects, gets your AI agents live in 4–6 weeks — not 6 months.

Human-in-the-loop

Agents escalate edge cases to your team with full context. You stay in control of every critical decision.

Learns your business

Agents are trained on your data, documentation, and workflows — not generic models. They get smarter over time.

Measurable ROI

Track hours saved, tickets resolved, leads qualified, and cost reduction from day one with built-in analytics.

What you get with us

Agents that take action

Not chatbots — AI agents that update CRMs, send emails, process documents, and complete workflows autonomously inside your existing tools.

Built on your tools

Agents integrate with Slack, HubSpot, Salesforce, Google Workspace, Notion, and your existing tech stack. No rip-and-replace required.

Learns your business

Agents are trained on your data, documentation, and workflows — not generic models. They get smarter over time as they work with you.

Deployed in weeks

Our proven process, refined across 330+ projects, gets your AI agents live in 4–6 weeks — not 6 months like enterprise consultancies.

Human-in-the-loop

Agents escalate edge cases to your team with full context. You stay in control of every critical decision while AI handles the routine.

Measurable ROI

Track hours saved, tickets resolved, leads qualified, and cost reduction from day one with built-in analytics and reporting dashboards.

Deploy your first AI agent in weeks

Schedule a discovery call to identify which workflows an AI agent can handle for your business. We'll map the opportunity and show you what's possible.

Let's Talk

Discover your savings with automation

Is your team doing repetitive tasks? Stop wasting money, and get a custom solution that not only saves you time, but also reducesmistakes and makes your team more productive!

Custom app ROI calculator

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Guaranteed 25% time savings

90%
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We get asked this all the time.

Straightforward answers to the questions we hear most from clients exploring AI agents.

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.

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.

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.

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.

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.

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.

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.