Technology leaders
You need a governed AI architecture with grounding, evaluation, access controls and accountable oversight.
Service
AI Agents & Automation
We build governed AI agents and retrieval-grounded assistants for enquiry handling, qualification, summaries and internal knowledge — with evaluation, oversight and stated limits, so AI earns its place instead of adding risk.
- AI agent engineering
- RAG / knowledge assistants
- AI governance & evaluation
- Private / local LLM (where needed)
What's included
Everything the AI engagement covers
AI agent engineering
Governed agents for enquiry handling, qualification and internal assistance, with guardrails and evaluation.
RAG / knowledge assistants
Retrieval-grounded assistants over trusted knowledge, with citations and quality evaluation.
AI governance & evaluation
Oversight, evaluation and guardrails so AI is safe and measurable in operations.
Private / local LLM (where needed)
Private or local deployment where data residency or privacy require it.
Why governed AI
AI that stays accountable
We build governed AI agents and retrieval-grounded assistants for enquiry handling, qualification, summaries and internal knowledge — with evaluation, oversight and stated limits, so AI earns its place instead of adding risk.
AI hype without a safe plan
Pressure to adopt AI with no governance, evaluation or clear use case.
Slow, repetitive knowledge work
Enquiries and internal questions handled slowly and inconsistently.
Hallucination risk
Ungrounded AI that answers confidently but wrongly.
AgentActivity & oversightSupervised
ScopedOnly your data
SupervisedHuman approves
LoggedFull audit trail
Looked up accountDone
Drafted replyDone
Awaiting approvalHold
Sent to customerDone
How the engagement works
A careful path from use case to supervised agent
01
Assess the task and information
Identify users, source material, confidentiality, acceptable failures and the decisions that require human control.
02
Establish an evaluation set
Collect representative questions and difficult cases, including missing evidence and conflicting documents. Agree what a useful answer looks like.
03
Build access and oversight
Connect authorised sources, constrain tools and record reviewable outcomes. Define escalation and correction processes.
04
Validate before expanding
Evaluate output quality and failure modes on the agreed cases. Document limits, operating costs and the conditions for changing models or sources.
Who this service is for
Built around the people and decisions involved
Operations leaders
You need to reduce repetitive knowledge work while keeping exceptions and decisions visible to people.
Customer-facing leaders
You need faster, consistent assistance without allowing an agent to operate beyond approved limits.
How we evaluate success
Measures tied to the real operating need
Grounded answers
Review whether responses are supported by the authorised material and whether references help the user verify them.
Appropriate escalation
Test whether the assistant stops or asks for help when evidence, permission or confidence is insufficient.
Useful assistance
Measure the review effort and task completion for the intended users, including corrections and rejected outputs.
Industries we serve
View all industries Governed AI for every industry
IT & SoftwareSupport & triage
ManufacturingOrder enquiries
Real EstateLead qualification
EducationApplicant queries
HealthcarePatient questions
Trading & DistributionOrder & stock helpCASE STUDY
From repetitive questions to a supervised AI agent your team trusts
See how we scope an AI agent to your own data and tools, keep a human in the loop and log every action, so it helps your team without going off the rails.
Read case studiesFrequently asked questions
Questions about AI agents & automation
Can an agent act without approval?+
Only within the permissions and risk boundaries agreed for the task. We distinguish drafting, recommending and executing actions, and retain approval where the consequence requires it.
Will retrieval eliminate incorrect answers?+
No. Retrieval improves access to evidence but cannot eliminate incorrect interpretation or missing context. Evaluation, source maintenance and escalation remain necessary.
Can we use confidential internal documents?+
That requires an agreed data boundary, source permissions and deployment approach. Start with a description of the material, not an upload of sensitive documents into an enquiry form.
What if AI is not the right solution?+
We can recommend a simpler search, workflow or integration. The objective is a supportable operational improvement, not the use of a particular model.
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