Service 02
Custom AI Agents
AI agents that work for you on the tasks that need judgement. We design and build agents that understand a goal, plan the steps, use tools and data, check their own work and explain their decisions, with people in control of what matters.
What's included
- Agent design: goals, tools, guardrails and when to hand over to a person
- Single and multi-agent systems that plan, call APIs and data sources, and pass work between specialist agents
- Verification steps: cross-checking sources so answers are evidenced, not guessed
- Human-in-the-loop controls: approvals, confidence thresholds and clear reasoning for every action
- Evaluation: test sets and metrics that show how accurately the agent performs before and after launch
- Deployment, monitoring and ongoing improvement in production
Who it's for
Product and technology teams with tasks too complex for simple automation: work that needs reasoning, several data sources or careful verification, in any industry.
Track record
We have built a production multi-agent coaching platform, an agentic geocoding system for a logistics-tech startup, text-to-SQL data agents, multi-agent email automation and an internal helpdesk agent.
See case studies →Example use cases
Every solution is custom-built for your workflow. These show the kinds of problems we solve, not ready-made products.
Research & verification agents
Gather and cross-check information across many sources before acting.
“Ask your data” agent
Plain-English questions over your database, with charts and scheduled reports.
Helpdesk agents
Answer staff or customer questions from your own knowledge base.
Location & address agents
Resolve messy free-text addresses that standard geocoding gets wrong.
Coaching & assistant agents
Guided, multi-step conversations that adapt to each user.
Multi-agent systems
Teams of specialist agents working together on a larger task.
Ways to start
Fixed scope, clear outcome.
Prototype to Proof
4–6 weeksA working prototype on your data, plus an evaluation report showing how well it actually performs.
AI Cost & Quality Audit
1–2 weeksA review of an existing AI system: quality, evaluation, cost and latency, with a prioritised fix list.
How we work
Pilot with proof.
- 01
Sample
We start small, on a real slice of your data or one workflow.
- 02
Side-by-side results
You see our system next to what you use today, case by case.
- 03
Cost estimate
A clear running cost at your scale before you commit.
- 04
Build
Production engineering, integration and evaluation.
- 05
Run
Monitoring, updates and support after launch.
Other services
Have a workflow you wish ran itself?
Tell us about it. In a short call we'll say honestly whether AI is the right fix, and what a small pilot would look like.