SDS / CONSULTANCY

Confidence comes from clear operating boundaries.

AI earns a useful place in your organisation when people can understand its permissions, assess its performance and take responsibility for its use. We build that conversation into discovery and delivery.

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Controls proportionate to the work.

Human oversight by design

Map which decisions stay with people, which can be automated and where agents should only recommend. Define approvals and escalation paths before the workflow is built.

Evaluation and monitoring

Agree quality criteria for responses, retrieval and tool use. Test representative tasks and failure conditions, then monitor performance as the operating environment changes.

Data and action boundaries

Limit access to approved sources and tools. Separate read-only tasks from changes to systems, and apply additional controls to sensitive or consequential actions.

Ownership and traceability

Define who owns the process, system and decisions. Keep appropriate action logs, version histories and incident records so teams can investigate and improve the service.

Safe exception handling

Design what happens when information is missing, permissions fail or the model is uncertain. A controlled stop, a request for clarification or a handoff can be the correct outcome.

Governance throughout delivery

Bring business, security and operational stakeholders together early. Review the use case and controls as scope, data, models and dependencies change.

Review risk while the solution is still taking shape.

An internal knowledge assistant and a customer-facing agent do not carry the same risk. We work with your stakeholders to define the appropriate controls, evidence and ownership for your use case. Requirements are scoped to the engagement and your operating policies.

What needs to
work better?

Start with the challenge. We’ll help you decide what a useful next step looks like.

Book a discovery call

A short introductory conversation. A clear next step.