Enterprise AI, without the circus.

Vidette helps SMEs turn AI from a risky experiment into a controlled business capability: grounded in approved knowledge, protected by permissions, reviewed by people and measured in operation.

AI Readiness Review

Map use cases, data quality, permissions, risks and the first AI workflow worth building.

Assistants & Agents

Build practical copilots for knowledge, reporting, support, finance, operations and internal service workflows.

AI Security & Governance

Control access, prompts, data exposure, vendor risk, logs, approvals and operational evidence.

What makes it enterprise-ready

The difference is not the model. It is the operating controls around the model.

◎ Grounding Answers based on approved documents, systems and data.

◇ Citations Trace every important output back to its source.

☷ Permissions Respect user roles, access boundaries and sensitive data.

⚙ Long-running agents Coordinate tasks without losing state, context or control.

▥ Audit logs Capture prompts, decisions, approvals and exceptions.

⇄ Human approval Escalate high-risk decisions before action is taken.

✦ Evaluation Measure answer quality, drift, hallucination and usefulness.

£ Value model Prioritise use cases that save time, reduce cost or improve service.

▤ Workflow fit Embed AI where people already work, not in another isolated tool.

◈ Managed operation Support, monitor and improve AI services after launch.

Find the right first use case.

We identify where AI can produce value without creating unacceptable operational risk.

  • Opportunity mapping
  • Risk and data review
  • ROI and adoption plan

Connect approved knowledge.

We prepare the data, documents and permissions needed for reliable answers.

  • Knowledge architecture
  • M365 and SharePoint cleanup
  • Source and citation strategy

Ship useful assistants and agents.

We build role-specific AI services that handle real tasks and route exceptions.

  • Copilots and assistants
  • Workflow automation
  • System integration

Operate with evidence.

We add logs, review loops and controls so AI can be trusted over time.

  • Monitoring and evaluation
  • Audit and approval paths
  • Continuous improvement