AI agents that take real work off your team
Agents read from your systems, decide the next step, use tools and hand off to a person when it matters. Built on models such as Claude and GPT, with permissions, evaluation and cost tracking from day one.
Work that agents handle well
Multi-step admin
Checking, matching and updating records across two or three systems, hundreds of times a week
Research and summarising
Pulling answers from contracts, tickets and reports before anyone can make a decision
Chatbots that can't act
Assistants that answer questions but can't update a record, raise a ticket or send a draft
Agents with guardrails
Each agent has a clear task, a limited set of tools, a person who owns it and a way to measure it.
| Agent | Tools | Human step | Status |
|---|---|---|---|
| Invoice checker | SAP, email | Approve emails | Live |
| Order updater | ERP, CRM | Over $10K | Live |
| Research assistant | SharePoint, web | None | Pilot |
- Task designWhat the agent does, what it must never do, and when it hands over
- Tool connectionsSecure access to your systems through APIs or MCP servers
- Human-in-the-loopApproval steps where money, customers or compliance are involved
- EvaluationTest sets of real cases, with accuracy tracked before and after launch
- Monitoring and costLogs of every run, spend per task and alerts when quality drops
Start with one agent, prove it, then add more
Pick the task
High volume, clear rules, measurable cost today
Design
Tools, limits and the human approval points
Build
Connect to your systems and models
Evaluate
Run against real cases before go-live
Scale
Launch, monitor and add the next agent
We build on the stack you already run
- Claude
- OpenAI GPT
- LangChain
- Python
Explore the rest of our AI work
See it in practice
From manual lead handling to automated marketing operations
Marketing and CRM data consolidated across more than twenty EMEA countries, with lead management automated end to end
What buyers ask before starting
What's the difference between an agent and a chatbot?
A chatbot answers. An agent completes the task, and asks a person when it needs approval.
Which model do you use?
The one that fits the task, often Claude or GPT.
Can an agent make a costly mistake?
Anything involving money, customers or compliance goes to a person first.