AI Agent Development That Ships to Production
We build autonomous AI agents with memory, planning, tool use, and evaluation, designed to run reliably for the long term rather than just demo well. That ranges from single-task copilots to multi-agent systems wired into your CRM, data, and tools, with guardrails and observability built in.
Capabilities built for production.
Customer-support agents
Agents that resolve tickets, search your knowledge base, and escalate with full context. Measured on resolution, not chat volume.
Sales & SDR agents
Agents that qualify leads, follow up, and update your CRM automatically across channels.
Internal ops agents
Replace brittle RPA with agents that handle documents, data entry, and multi-step workflows.
Multi-agent systems
Orchestrated teams of specialised agents for complex, long-running tasks.
Voice agents
Real-time voice agents for support, scheduling, and outbound, grounded in your data.
Domain copilots
In-product copilots that make your software faster and easier for the people who use it.
A partner that ships and sticks around.
Senior, accountable teams
Experienced engineers who own outcomes. No junior hand-offs.
Fixed scope & price
A written scope, timeline, and price before any code, plus a reply within one business day.
Live staging from day one
You'll see real progress continuously and re-prioritise as the product takes shape.
We stay to support it
Monitoring, maintenance, and a real support channel that replies in minutes, not days.
Technologies we work with
Frequently asked questions
What's the difference between an AI agent and a chatbot?
A chatbot answers a question in a single turn. An AI agent plans, uses tools and APIs, remembers context, and takes multi-step actions to finish a goal, like resolving a support ticket end to end or updating your CRM after a call.
How much does it cost to build an AI agent?
A focused single-task agent is usually a low-to-mid five-figure engagement; multi-agent or deeply integrated systems cost more. You'll get a written fixed-price scope within one business day.
How do you stop an agent going off the rails?
Guardrails, permission scoping, human-in-the-loop checkpoints, evaluation suites, and production monitoring. We constrain what an agent can do, not just what it says, and we red-team it before launch. Most agent demos look great and fall over in production; we build for the second one.
How long does it take to build an AI agent?
Most production agents ship in 4 to 10 weeks depending on integrations and evaluation needs, with a working version on staging early.
Can you integrate with our CRM and tools?
Yes. Salesforce, HubSpot, Zendesk, Slack, internal APIs, and databases are all standard. Tool and function calling is core to how we build agents.
Do you offer ongoing agent maintenance?
Yes. Agents drift as your data and usage change, so we offer ongoing monitoring, tuning, and support with real engineers and SLA reporting.
Related services & expertise
Take your business to the next level.
Tell us what you're building. We'll come back inside one business day with a fixed scope, timeline, and team — or an honest “this isn't a fit”.
Code is useless if it's not comprehensible to those who maintain it. We write code the next person can actually understand.