Outcome 02
Turn AI governance into decisions that systems can enforce.
Governance is most useful when people can tell what it changes. Deadlights helps connect policy language to architecture, configuration, operating ownership, evidence and exception handling.
Framing
Translate policy into control questions.
- Who is allowed to use which AI services?
- Which workloads require different rules?
- What data restrictions apply?
- Which models or providers are approved?
- When should a request be blocked, routed differently or escalated?
- What evidence must be retained?
- Who approves exceptions?
- How are policies revised when technology changes?
Implementation areas
Where policy becomes configuration.
- Workload profiles
- Model/provider allowlists
- Data handling rules
- Identity requirements
- Logging and audit evidence
- Exception workflows
- Approval paths
- Ownership and review cadence
OUTCOME
A governance model that can be demonstrated through working controls and evidence rather than existing only as a policy document.
Governance is treated as a supporting capability across the Deadlights software platform vision and the full professional services portfolio, not a separate offering.