AI request filtering
Bring security and compliance rules into connected AI workflows. The Ignituz AI Governance Plane evaluates requests before they reach the model, applying the controls configured for that workflow.
Explore this serviceAI Governance / Governance rollout and operating modelMake governance
Make governance
part of how you operate.
Put autonomy with accountability into practice. Introduce the AI Governance Plane with a clear scope, accountable owners, and a path from the first connected workflow to broader adoption.
Who it is for
A practical starting point.
AI program leaders and technology owners coordinating security, compliance, engineering, and business teams.
The challenge
You want organizational control over AI use, but applications, owners, and readiness vary. A staged rollout helps teams agree what is covered and how each connection will be accepted.
Inside the engagement
What we work on together.
01
Assess the starting point
Review current AI use, business priorities, data sensitivity, and integration readiness. Identify a bounded workflow where governance can be introduced and evaluated.
02
Define the operating model
Set decision rights, policy ownership, escalation paths, and review responsibilities. Map internal and applicable industry standards to the controls and workflows in scope.
03
Pilot and validate
Agree acceptance criteria, connect the selected workflow, and evaluate policy outcomes with its owners. Record integration boundaries and resolve gaps before expanding.
04
Enable and extend
Hand over the operating process, train the responsible team, and prioritize subsequent workflows. Use feedback from live operation to refine both controls and guidance.
Practical outputs
Make progress tangible.
We agree the scope and outputs around your starting point. A typical engagement can include:
- A prioritized governance rollout roadmap
- A responsibility and decision-rights map
- Pilot acceptance criteria and a coverage record
- An operating handover and enablement plan
In context
Example: start with one department
An organization begins with an internal assistant used by one team. The pilot establishes policy ownership, request handling, and review routines. The next department can build on that baseline while adding its own workflow requirements.
Getting started
Agree the next useful step.
Bring a priority workflow and the people who own it. We will review the intended outcome, dependencies, and constraints, then define an initial scope and acceptance criteria.
Rollout scope and integration feasibility are agreed during discovery.
Plan this engagementExplore AI Governance
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Policies by team and use case
Customize governance rules to your organization’s internal standards and applicable industry standards. We translate those requirements into a scoped configuration, with rules reflecting the data and working practices of legal, medical, and development teams.
Explore this serviceMonitoring and enforcement evidence
Make connected AI activity reviewable. Use request traces and policy outcomes from the governance plane to understand how configured controls behave in everyday work.
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