AI Agent Development
Agents are easy to demo and hard to trust. We build the kind that run every day, in production, inside the systems you already use.
- Workflow agents
- Tool and API integration
- Human in the loop
- Monitoring and support agents
- Multi-agent orchestration
- Observability and cost control
Our View
Agents that take a workflow off your team's plate and run it reliably in production.
An AI agent does more than answer questions. It reads a request, works out what needs to happen, acts in your systems through their APIs and finishes the task, or hands it to a person when it shouldn't decide alone.
We use agents ourselves: our own monitoring and support agent watches every event across the applications we run, investigates incidents and prepares a root-cause analysis for an engineer to act on. We bring that same operational thinking to the agents we build for you.
Less manual work
Routine requests are handled end to end. Your team spends its time on the exceptions that need judgement.
Faster turnaround
Work that waited in a queue for hours is done in minutes, at any hour, without adding headcount.
Fewer errors
The same rules are applied every time, and every step is logged so you can see what was done and why.
Systems that work together
Agents connect your CRM, ticketing, ERP and inboxes into one flow instead of copy-paste between tabs.
What We Build
AI agents, built for production.
Workflow agents
Agents that own a defined process, such as intake, triage, data entry or follow-ups, from trigger to completion.
Tool and API integration
Secure, scoped access to your internal systems through tools and the Model Context Protocol (MCP).
Human in the loop
Approval steps, confidence thresholds and clear handovers wherever a person should make the call.
Monitoring and support agents
Agents that watch logs and events, investigate incidents and draft root-cause analyses for your engineers.
Multi-agent orchestration
Specialised agents that research, act and check each other's work for longer, more complex tasks.
Observability and cost control
Tracing for every run, evaluation suites, budgets and alerts, so you always know what the agent did and what it cost.
The Process
4 steps, each with something you can hold us to.
- 01
Pick the workflow
Find the one process where an agent would change your numbers, and define what done looks like.
- Workflow map
- Success metric
- Systems and permissions needed
- 02
Prototype on real cases
Build a working agent quickly and run it against real historical examples before it touches anything live.
- Working prototype
- Evaluation set
- Accuracy and cost baseline
- 03
Run alongside your team
The agent proposes, people approve. We tune it until its decisions match the ones your team would make.
- Approval workflow
- Guardrails
- Audit log
- 04
Hand over the routine
Routine cases run on their own, exceptions go to people, and monitoring tells you when anything drifts.
- Production rollout
- Dashboards and alerts
- Runbook
By Industry
Where agents earn their keep.
How We Work
Why teams build this with us.
Technology
Proven tools we often reach for.
Claude
OpenAI
Gemini
LangChain
Python
Node.js
PostgreSQL
AWS
What's the difference between an AI agent and a chatbot?
A chatbot answers. An agent acts: it can look things up, update records, send messages and complete a multi-step task in your systems, within the permissions you give it.
How do you stop an agent from doing something it shouldn't?
Every agent gets narrowly scoped access, approval steps for risky actions, confidence thresholds that send uncertain cases to a person, and a full log of what it did and why.
Which workflows are good candidates for an agent?
Ones that are frequent, follow rules most of the time and span several systems: intake, triage, data entry, status updates and first-line support are common starting points.
How long until an agent is in production?
A focused agent for a single workflow usually reaches a working prototype within weeks. The rollout pace then depends on how quickly its results earn your team's trust.
Thinking about ai agents?
Tell us where you are and where you want to be, and our team will get back to you with ideas, not a sales script.