Service

AI agents for real business workflows, not demo theatre

We design and build AI agents that operate inside controlled business processes: reading data, taking defined actions, escalating exceptions and keeping humans in charge where judgement matters.

Discuss AI agents
Agentic automation

The right AI agent has a narrow job and clear boundaries

AI agents are most useful when they are given a defined role inside a workflow: classify an incoming request, extract data, prepare a report, check records, draft a response or route an exception to the right person.

We build agents with permissions, audit trails, confidence thresholds and fallback routes so they support the business without becoming an uncontrolled black box.

AI agents can help with

  • Email, document and request triage
  • Internal knowledge retrieval and guided search
  • Workflow routing, exception handling and escalation
  • Report drafting and operational summaries
  • Customer or staff assistants connected to your own data
  • Repetitive checks that still need an audit trail
Our controls

Production AI needs governance from day one

Defined permissions

Agents only access the data and actions needed for the task.

Human review paths

Low-confidence or high-risk outputs are escalated rather than actioned automatically.

Audit trails

Inputs, outputs and actions are logged so decisions can be reviewed.

Cost visibility

Usage, model calls and operational costs are monitored and controlled.

Where could an AI agent remove repeated operational work?

We will start with the process, the data and the risks before recommending whether an AI agent is the right answer.