AI Agent Development

A chatbot responds when a person asks it something. An AI agent works autonomously: it monitors inputs, reads and understands content, makes decisions within rules you set, takes actions in your systems, and escalates exceptions to people. Think "virtual team member for a defined job", not "smarter FAQ".

A proof-of-concept agent proving your workflow end-to-end costs £6,000-£12,000 and takes one to two weeks. A production agent with guardrails, audit logging, and monitoring typically costs £12,000-£24,000. Running costs depend on volume and are modelled for you before you commit.

Agents built on Azure AI Foundry run inside your own Azure tenant with full UK data residency; nothing leaves your estate and your data is never used to train models. For Claude-based builds we use Anthropic's commercial API with contractual no-training guarantees. We are Cyber Essentials Plus certified and design for your compliance requirements from day one.

Every agent ships with guardrails (what it may and may not do), confidence thresholds, full audit trails, and human-in-the-loop checkpoints for consequential decisions. Agents take over the volume; people keep the judgement. We agree the oversight model with you before anything runs unattended.

High-volume, rule-guided work involving reading or writing documents: referral triage, invoice and claims processing, report drafting, data reconciliation, inbox handling, compliance checks. If a competent temp could do it with a written procedure, an agent can probably do it faster and around the clock.

Different problems. An agent takes a defined process off your people entirely and runs it unattended. If instead your team is capable but cannot get at the information they need across your systems, that is our AI Systems Integration service, and it is a better fit.