AI Agents / Task-specific systems

AI agent development for specific business tasks

We build agents that use approved knowledge and tools, follow defined limits and hand control to a person when required.

TOOL USEKNOWLEDGE RETRIEVALEVALUATIONHUMAN APPROVAL
Discuss an AI agent →Agent or workflow?

What makes an agent useful

An AI agent is useful when a task requires interpreting information, choosing among approved actions and completing several steps. The job should still have a defined objective, limited tools, quality checks and a stop condition.

Agent capabilities we can design

  • Research and summarisation from approved sources
  • Lead or support triage with escalation rules
  • Internal knowledge assistance with source references
  • Task preparation across CRM, email, spreadsheets or internal tools
  • Drafting and review support for repeatable knowledge work
  • Multi-step orchestration with logs and human checkpoints

Built for operation, not a demo

A production-minded design includes permissions, input validation, evaluation cases, logs, failure behaviour, usage controls and ownership. We agree what the agent may do before connecting it to business systems.

What you receive

A task definition, agent architecture, connected pilot, test set, evaluation results, operational documentation and a recommendation for deployment or further work.

Choose the simpler system

Workflow automation or AI agent?

The best architecture follows the job rather than the trend.

SituationWorkflow automationAI agent
Steps are stable and predictableUsually the better fitOften unnecessary
Input includes varied natural languageRules can route obvious casesCan interpret and classify within limits
The system must choose approved toolsBranching logic may be enoughUseful for bounded, multi-step choices
Action affects money or reputationUse approval gatesUse approval gates and strict permissions
Success is easy to define and testTest each branchEvaluate task completion, quality and tool use
Agent delivery

Boundaries before autonomy.

01

Define the job

Objective, inputs, tools, prohibited actions and stop condition.

02

Build the pilot

Knowledge, tool connections, prompts and control points.

03

Evaluate

Realistic cases, failures, accuracy, cost and handoffs.

04

Operate

Monitoring, review cadence, ownership and improvement plan.

Questions

What buyers usually ask.

Can an agent access our business tools?

Yes when an approved integration exists. Access should use the minimum permissions required and be logged where practical.

Can the agent answer from our documents?

It can use an approved knowledge base. The design should include source handling, update responsibility and a fallback when evidence is missing.

How do you test an agent?

We build realistic task cases, expected behaviours and failure cases, then evaluate task completion, response quality, tool use and escalation.

Does every AI project need multiple agents?

No. A single bounded agent or a conventional workflow is often easier to control and maintain.

What job should your AI agent perform?

Share the task, systems involved and the actions that need approval.

Discuss the agent →