Custom AI Agents
We build agents that find information in approved sources, work only in permitted tools and hand over when a request needs human judgement or authority.
The problem
A generic chatbot does not know your business
A custom agent uses the information you approve, follows your rules and connects to the systems needed for a specific job.
Illustrative example: the agent answers from documents and acts in your systems.
What they do
Answers from your real documents and policies, cites the source, and hands over to a human when needed.
Greets, qualifies and routes inquiries around the clock — and briefs the team before the call.
Turns scattered documents, wikis and tickets into one agent the team simply asks.
Acts in your tools — creates records, drafts responses, kicks off processes.
How we build it
A useful agent works from approved information, can show its sources and stays inside the permissions you set.
Aligned with your company voice
We define tone, boundaries and escalation so the agent communicates consistently without pretending to be human.
What you buy
We assess feasibility and risk, build a focused pilot, then prepare only an accepted solution for production. Every stage has agreed deliverables and acceptance criteria.
We map the process, data flows, integrations, security requirements, operating model and result to measure.
A process map, data-flow and risk review, solution options and a fixed proposal for the next stage.
We build one use case in an agreed environment and evaluate quality, controls, performance and operating effort against the acceptance criteria.
A working pilot, test results, known limitations and a clear recommendation on whether to proceed.
We prepare the accepted solution and agree release, monitoring, rollback, support and operating responsibilities.
A production release and the agreed handover assets: source code and settings, deployment automation, monitoring and operating instructions.
FAQ
It works from your approved knowledge, connects to selected systems, and follows permissions and rules defined for your business.
Yes. We define exactly when and how it escalates — with the full context of the conversation.
Yes. Agents can run in your environment, including on-premise — see the On-Premise AI page.
Only the sources and systems you approve, such as documents, policies, wikis and support tickets. Its answers can cite the source so your team can check them.
A focused first use case can usually reach a working prototype within weeks. The production timeline depends on integrations, data readiness and risk requirements.
Contact
Describe one process or task, or a data or security constraint. Two sentences are enough. We usually reply within one business day.
Or directly:
A selection of organisations we have worked with
