AI governance in processes
The Challenge
Companies want AI but fear sensitive data, untracked decisions and loss of human control.
Common Blockers
- Impossible to demonstrate to an audit how a decision involving an AI model was made.
- Customer data sent to the AI provider without knowing exactly which fields reach the model.
- No human checkpoint between the AI decision and the action on the real system.
The FlowSharp Solution
AI tasks inside explicit states, Data Shield on sensitive fields, data minimization, history audit, pre/post AI manual validation.
Process Stages
- 1
Defining the AI perimeter
Before activating the AI task, the process explicitly defines which fields are visible to the model. Sensitive fields (PII, financial data) are protected by Data Shield and never reach the provider.
- 2
Input validation with Data Gate
The Data Gate verifies that data sent to AI is complete and consistent. If critical information is missing, AI is not invoked and a manual data enrichment task is assigned.
- 3
AI execution in explicit state
The AI task runs in a dedicated process state. Input, output and provider used are recorded in the immutable audit. The process doesn't advance until AI returns a structured result.
- 4
Human validation post-AI
For high-impact decisions, a pre-configured manual task requires an operator to validate the AI result before the process continues. Human-in-the-loop is structural, not optional.
- 5
Audit & compliance reporting
Every AI interaction is documented: timestamp, model, prompt version, minimized input, raw output and final human decision. The report is exportable for internal audits and EU AI Act compliance.
Expected Outcomes
- 100% of AI decisions tracked: every output is linked to the process instance, the validating operator and the timestamp.
- Zero sensitive data at the provider: Data Shield guarantees that PII and financial data never leave the company perimeter.
- EU AI Act alignment: structured human supervision, full audit trail, documented data minimization.
Industry note — Compliance
With the EU AI Act in force, companies using AI in high-risk processes (HR, credit, safety) must demonstrate human supervision and traceability. FlowSharp is not just an operational tool: it is an auditable AI governance infrastructure.
Frequently Asked Questions
- Is FlowSharp compatible with EU AI Act requirements?
- Yes. FlowSharp natively implements the three pillars required by the AI Act for high-risk systems: structured human supervision, AI decision documentation, and minimization of data sent to models.
- Can I use different AI providers (OpenAI, Anthropic, local models)?
- Yes. FlowSharp supports multiple configurable providers per AI task. For compliance, you can isolate sensitive tasks on on-premise or European models, and generic tasks on cloud providers.
- How does Data Shield work in practice?
- On process fields marked as sensitive, FlowSharp applies pseudonymization before including them in the AI prompt. The model sees an opaque identifier, never the real data. The mapping is kept in the process, not transmitted.