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AI Workflow Engineering

Production-Grade AI Systems in 2-4 Weeks

Not another ChatGPT wrapper. Multi-agent orchestration, LLM pipelines, RAG that actually retrieves, and automation that runs while you sleep.

AI Agents

Multi-agent orchestration that thinks

LLM Pipelines

Production-grade, not prototype-grade

RAG Systems

Retrieval that actually retrieves

Intelligence That Scales With You

Where You Are Now

Your data lives in 6 different tools. Every customer question requires human triage. Your support team is a bottleneck. Your engineers spend 40% of their time on "quick fixes" instead of building features. Scale means hiring more people, which means less runway.

What This Costs You Every Quarter

How many features died this quarter because your devs were firefighting? How many enterprise deals stalled because your platform "doesn't scale yet"? How many customers churned because they couldn't get answers fast enough? Every support ticket is revenue bleeding out.

How We Fix It

Autonomous AI agents that handle 80% of support, operations, and data tasks—so your humans can build the future, not babysit the present.

Our AI agents don't just automate—they learn. Start with customer support. Expand to data reconciliation. Graduate to autonomous sales workflows. Each agent is custom-trained on your data, your tone, your edge cases.No generic chatbot templates. No "90% accurate" excuses.

20-30hrs

Reclaimed per week per engineer

60%

Support cost reduction

Zero

Headcount bloat

Only available to companies with £500k+ ARR.

We don't build toys.

Our Process

Week 1

AI Strategy

Define autonomous workflows, identify high-leverage automation targets, and design agent architecture.

Weeks 2-3

Agent Development

Build custom LLM agents with tool integrations, decision logic, and error handling.

Week 4

Semantic Layer

Create domain-specific knowledge graphs that make AI understand your business context.

Week 5

Testing & Deployment

Validate autonomous decision-making, deploy to production, monitor and refine.

Stop Firefighting. Start Scaling.

Turn your data into a competitive advantage. Give your team their time back.