AI AGENTS & CUSTOMER SUPPORT
AI Agents connected to your business knowledge and systems.
We design assistants and customer-support agents for specific jobs, with controlled sources, permitted actions, evaluation and a clear handover to your team.
- 01Knowledge
- 02Reasoning
- 03Action
- 04Handover
An agent needs the right knowledge and process, not just a model.
We map requests, sources, confidence requirements and actions. When evidence is insufficient or a case is sensitive, the agent should recognise that and transfer it to a person.
What should improve
- Consistent first responses to common requests
- Retrieval from approved business knowledge
- Structured information capture before handover
- Evaluation against real scenarios
Agent design and controlled rollout
- Use cases, conversation journeys and escalation map
- Knowledge ingestion, permissions and freshness policy
- Tool and API actions with limits and an audit trail
- Evaluation dataset, analytics and an improvement loop
How we approach it
01
Scope
One job, audience, channels and a definition of done.
02
Ground and connect
Knowledge, tools, permissions and boundaries.
03
Evaluate
A test set, human review and gradual release.
A plausible answer should not be presented as certainty
We define when the agent answers, asks for clarification, declines or escalates. Suitability for personal or sensitive data requires separate legal and technical assessment.
Verified related work
Reviewed guidance
Practical guides and analysis appear in Insights after editorial review.
Common questions
Is this the same as a basic chatbot?
Not necessarily. An agent can use controlled knowledge and tools for specific actions, always within defined boundaries.
Which languages can it support?
Language coverage and quality must be evaluated using real requests from the specific use case before any production promise is made.
Can it replace the whole support function?
The goal is not to remove people. We define which requests suit self-service and which need a responsible member of the team.
Define one useful job for your first agent.
Share common requests, knowledge sources and the point at which a person should take over.



