AI Agent Development
AI agents that don't just chat.
They get things done.
We build custom AI agents that work like members of your team - resolving support tickets, monitoring competitors, generating content, and handling operations. Autonomously, reliably, and at scale.
The problem
Sound familiar?
Most businesses have already tried AI tools. The gap is between a tool that can answer questions and a system that can actually do the work.
Your team spends hours on tasks AI could handle
Answering the same support questions, triaging emails, pulling reports, summarising meetings - your best people are stuck doing work that doesn't need a human.
Off-the-shelf chatbots don't cut it
You've tried the plug-and-play chatbot tools but they can't handle nuance, don't integrate with your systems, and give generic answers that frustrate customers.
You need AI that actually does things, not just talks
You don't want a chatbot that says 'let me connect you with a human.' You want an agent that resolves the ticket, updates the CRM, and moves on to the next one.
What we build
Agents for every part of your business
Every agent is custom-built to your systems, your data, and your workflows. These are the most common types we deploy.
Customer Support Agents
Handle tier-1 support autonomously - answer questions, process refunds, update orders, and escalate intelligently when needed. Connected to your knowledge base and CRM.
Research & Monitoring Agents
Monitor competitors, track industry news, analyse market data, and deliver daily briefings. Like having a research analyst that works 24/7 and never misses anything.
Content & Communication Agents
Draft emails, write reports, generate social content, and publish articles - all in your brand voice, following your guidelines, with human review where you want it.
Operations & Data Agents
Process invoices, reconcile data, route tasks, generate reports, and handle the back-office work that keeps your business running but doesn't need manual oversight.
Our process
From spec to production in weeks
We don't do six-month R&D phases. Most agents go from kickoff to production in 3–5 weeks.
Scope & Architecture
We define exactly what the agent needs to do, what systems it connects to, and where the boundaries are. You'll sign off on a clear spec before we write a line of code.
Build & Integrate
We build the agent with the right model for the job - Claude, GPT-4, or open-source - and integrate it with your existing tools via APIs, webhooks, or database connections.
Test & Harden
We test across edge cases, adversarial inputs, and failure scenarios. Your agent needs to handle the weird stuff gracefully, not just the happy path.
Deploy & Monitor
Deployed to production with logging, alerting, and performance monitoring. You'll know exactly what the agent is doing and how well it's doing it.
Deliverables
What you get
- Custom AI agent built to your specification
- Integration with your existing tools and systems
- Prompt engineering and model selection
- Comprehensive edge-case testing
- Monitoring dashboard and alerting
- Documentation and runbooks
- 30 days of post-launch support and refinement
Built to trust
Guardrails by default
Every agent ships with input validation, output filtering, and behavioural boundaries. They do what they're told - nothing more.
Human-in-the-loop options
Configure exactly when the agent should escalate to a human. Full autonomy for routine tasks, human approval for high-stakes decisions.
Not sure if you need an agent? Start with a strategy session.
Learn about AI Strategy →FAQ
Common questions
What is an AI agent, in plain terms?
A loop. It takes an input, decides which tool to call, calls it, reads what came back, and goes round again until the job is done. A chatbot answers you; an agent acts - it reads a database, sends an email, updates a record.
What stops an agent doing something wrong?
The gates you put around it, and refusing rather than guessing. Our own outbound agent audits a prospect's website and checks the company register, and if either check fails it sends nothing at all. The refusing is the useful part, and it is the part worth paying for.
Which models do you use?
Claude and GPT, chosen per job rather than per fashion. They are genuinely different: one tends to be better at long reasoning over your own documents, the other at short structured extraction, and the right answer depends on the work.
What does an agent cost to build?
From £3,500 as a fixed-price build, scoped to a specific job before we start. Ongoing changes and monitoring sit under a monthly plan if you want them.
Do we own what you build?
Yes. Full source code, documentation and IP are yours. No vendor lock-in and no recurring platform fee for anything we have built for you.
Get started
Let's talk about your project
Tell us what you're working on and we'll come back within 24 hours with a clear plan - no commitment, no pitch deck.