01
Knowledge assistants
Help teams find relevant information using access-aware retrieval and clear source references.
SERVICES / AI AGENTS
From answering
to getting work done.
Build agents that use approved knowledge and business tools to complete defined tasks, with clear permissions, human oversight and traceable actions.
Discuss your project
THE OPPORTUNITY
A helpful answer is not always a completed task.
Support and operations teams need actions across systems, not another conversation to copy and paste. We define what an agent can do, how it verifies a result and when it must ask a person for help.
WHAT WE BUILD
Capabilities with a practical purpose.
02
Tool-using agents
Connect approved APIs and functions so an agent can look up records and carry out bounded actions.
03
Operations agents
Coordinate multi-step tasks such as gathering information, preparing updates and requesting approval.
04
Customer support agents
Handle supported questions and routine tasks, with a clear handoff to a human for unresolved cases.
05
Action safeguards
Apply permission boundaries, confirmation requirements and duplicate-action protection to consequential steps.
06
Agent evaluation
Test task completion, inappropriate tool use and escalation behaviour against realistic scenarios.
HOW IT CONNECTS
A clear path through the work.
- 01Understand task
- 02Retrieve context
- 03Use approved tools
- 04Verify & hand off
Illustrative workflow · Final scope is defined during discovery.
WHAT YOU TAKE FORWARD
Clear outputs. A practical handover.
- An agent scope and permission matrix
- Approved tool integrations and task flows
- Task-level evaluation and action traces
- Escalation rules and operating guidance
COMMON QUESTIONS
Before we begin.
Can an agent change data in our systems?
It can, when explicitly authorised through narrowly scoped tools. We define which changes need approval and how duplicate or failed actions are handled.
Should we use multiple agents?
Only if the workflow benefits from clearly separated responsibilities. A single agent or deterministic workflow is often simpler to operate.
How do you prevent incorrect actions?
We combine constrained tools, input validation, permissions, approvals and task evaluations. No model is assumed to be error-free, so failure paths remain explicit.
BUILD WHAT COMES NEXT