Pilots are moving without a common review path
Create one register for AI use cases, owners, data, affected users and required reviews.
AI Advisory & Governance
Choose AI use cases with a clear business owner and usable data, then define the human review, testing, release and monitoring controls required for production.
Put ownership and control ahead of production.
Use cases lack a business owner and acceptance criteria
Give each use case a business owner, technical owner, acceptance criteria and a decision path.
Risk and data review starts after the build
Place data, risk, human review and release checks before implementation commits the design.
Leadership cannot see where AI is already in use
Inventory AI activity across business teams, enterprise platforms and third-party products.
Move viable use cases into governed delivery.
AI readiness and use-case assessment
Assess data, operating capability, ownership and risk before teams prioritize a use case.
Use-case selection
Compare ideas by business value, feasibility, affected users and available control strength.
Governance operating model
Define roles, review stages, decision rights and evidence around the organization's risk model.
Risk and control design
Connect controls to data, model behavior, human review, release and production monitoring.
Human review and exception handling
Design clear points where people review, override, correct or stop an AI-supported action.
Implementation and release support
Support approved use cases through implementation, acceptance, release and operating review.
Decision records and controls teams can operate.
AI use-case and ownership register
Prioritization and decision framework
Control, evidence and human-review model
Decision and exception record templates
Implementation and operating roadmap
How a use case reaches production
RegisterCapture the use case, owner, data, affected users and proposed outcome.
AssessEvaluate feasibility, value, risk and the controls the use case requires.
DesignDefine human review, testing, evidence, release and monitoring responsibilities.
DeliverMove approved work into implementation and review it through production use.
Choose the support model that fits the work.
Embedded specialists
One or more named specialists join your team. You direct the day-to-day work and priorities.
Project team or full PMO
A coordinated Robra team leads selected workstreams or the full delivery office with your sponsor.
Flexible ongoing support
A consistent core team stays available for releases, backlogs and specialist questions as demand changes.
Shared managed service
Your team owns business priorities while Robra coordinates the named people running the day-to-day service.
Add the business, data and control expertise the use case needs.
Robra can provide an AI governance lead, data architect, risk analyst, product lead or change specialist for one use case or a broader governance program. The team follows the technology and risk already present in your environment.
AI strategy lead
AI governance consultant
Data architect
Risk analyst
Product manager
Change lead
Define the use case, affected decision and human owner.
The working boundary records what the AI supports, who uses the output, which data it receives and who can approve, override or stop it. The delivery team can then design controls around a real business process.
Included in the working plan
AI use-case and ownership register
Prioritization and decision framework
Control, evidence and human-review model
Decision and exception record templates
Implementation and operating roadmap
Owned with your team or another supplier
Enterprise risk appetite and legal interpretation
Business ownership of the affected decision
Vendor model behavior outside available evidence
Use cases outside the approved register
Production operation outside the agreed support model
Security and privacy controls owned by enterprise teams
Questions transformation leaders ask
Can Robra help if we have many AI ideas but no agreed starting point?
Yes. We create a use-case register and compare each idea by business outcome, data, feasibility, affected users and control requirements before your team commits to a build.
Will you work with our risk, legal, security and data teams?
Yes. We map their review points and decision rights into the delivery process so teams know which evidence each use case needs before release.
Is the approach tied to one AI platform or model provider?
No. The control design follows the use case, data, decision and risk. Platform-specific requirements are added once your team chooses the technology.
Can Robra support implementation after the governance work?
Yes. We can provide data, product, delivery and change specialists to carry an approved use case through testing, release and operating review.
Start with the use case and the decision it affects.
Share the proposed outcome, available data, affected users and current review path. We will help define the controls and delivery expertise required.