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Use case · AI governance & regulatory readiness

Connect AI systems, classifications, obligations, evidence, and assurance

From AI inventory to evidence-backed assurance.

STREAM® Cloud helps AI governance, risk, compliance, privacy, legal, procurement, and technology-risk teams connect AI systems, classification rationale, operator-role decisions, obligations, actions, evidence, reviews, vendor dependencies, incidents, and assurance updates in one configurable workspace.

The AI governance challenge

AI systems and use cases are often scattered across spreadsheets, vendor records, architecture boards, business pilots, productivity tools, and local systems. Teams are frequently unsure whether a particular AI use is prohibited, high-risk, transparency-only, minimal risk, or out of scope of the EU AI Act.

Provider, deployer, importer, distributor, integrator, and rebranded-provider roles change the obligations that apply — and those obligations are often known in principle but not yet translated into named owners, actions, evidence, and due dates. Technical documentation, vendor packs, DPIAs, FRIAs, logs, training records, policy records, and review notes sit in different places.

Supplier AI exposure is difficult to map back to internal obligations. Leadership wants a current readiness position, but the underlying evidence chain is fragmented. What AI governance teams need is a practical operating layer for AI systems, classifications, obligations, evidence, reviews, and assurance — built on the regulatory background of the EU AI Act, translated into day-to-day records and evidence.

What good AI governance looks like in practice

Operationalising AI governance is about turning the EU AI Act and internal responsible-AI principles into structured records — AI systems, classification rationale, operator-role decisions, obligations, evidence, reviews, and assurance reporting that leadership can rely on.

01

AI inventory and system register

A single AI system register capturing AI use cases, intended purpose, business owner, technology owner, and supplier — across pilots, embedded features, and productivity tools.

02

Classification rationale

Structured records of EU AI Act scope decisions, prohibited-practice checks, high-risk classification, transparency obligations, GPAI considerations, and minimal-risk or out-of-scope reasoning.

03

Operator-role assessment

Documented provider, deployer, importer, distributor, integrator, or rebranded-provider determinations — so the obligations that follow are visible and owned.

04

DPIA, FRIA and human oversight

DPIA and FRIA status, human-oversight arrangements, and instructions-for-use captured against each AI system rather than scattered across documents.

05

Obligations, actions and evidence

Regulatory requirements translated into owners, actions, due dates, and evidence — with evidence status visible against each obligation.

06

Vendor AI dependencies

Supplier AI exposure linked to internal obligations, with supplier documentation, technical documentation, and instructions for use recorded against the AI systems they support.

07

Reviews, logging and audit history

Review records, logging arrangements, training records, and an audit history of changes — so the AI governance picture is reconstructable rather than reconstructed after the fact.

08

Board-ready assurance

Dashboards and exports that give the executive risk committee and board a current readiness position, with the underlying evidence chain a drill-down away.

How STREAM® Cloud helps

STREAM® Cloud gives AI governance, compliance, and technology-risk teams practical structure for AI inventory, classifications, obligations, evidence, and assurance — structured records, registers, dashboards, and an audit history of what has changed.

01

A configurable workspace with configurable record types for AI systems, AI use cases, classifications, obligations, actions, evidence, reviews, vendor AI dependencies, and incidents

02

Configurable fields, with mandatory fields where required, so the AI system register, classification rationale, and operator-role assessment capture what your organisation actually needs

03

Registers and linked records that connect AI systems to classifications, classifications to obligations, obligations to actions, and actions to evidence

04

Structured records for DPIA and FRIA status, human-oversight arrangements, instructions for use, and supplier documentation

05

Search across structured data so legal, privacy, compliance, and technology-risk teams can find the right AI system, obligation, or evidence quickly

06

Dashboards and reports that update as data is entered, giving leadership a current view of AI governance readiness rather than a stale one

07

Drill-down from board-level readiness into the underlying records, actions, and evidence pack

08

Exports for risk committees, internal audit, regulators, and assurance reviews

09

Permissions and controlled visibility so legal, privacy, procurement, and business teams see what is relevant to them

10

Audit history of changes to support oversight, scrutiny, and reconstructable dossiers

11

Action tracking with owners, due dates, status, and evidence trails — including evidence status against each obligation

12

Evidence can be stored or referenced, depending on implementation, so technical documentation and vendor packs do not need to be duplicated

13

A guided product walkthrough so AI governance, compliance, and technology-risk teams can see how the model fits their operating environment

Related reading: EU AI Act guide. Related solution areas: ISO 42001 and Frameworks.

Who it is for

AI governance, risk, compliance and assurance teams

Leaders and practitioners

  • AI Governance Leads
  • Heads of Responsible AI
  • Compliance Directors
  • Legal and privacy leaders
  • Technology-risk and security leaders
  • Procurement and vendor-risk leaders
  • Internal audit
  • Executive risk committee stakeholders

Organisations placing AI on the EU market or using AI outputs in the EU

Teams accountable for AI inventory, classification rationale, operator-role decisions, obligations, evidence, and board-ready assurance — across in-house AI, embedded vendor AI, and general-purpose AI dependencies.

Pathway

When STREAM® Classic may be needed

STREAM® Cloud is the right starting point for most AI governance teams. Some organisations later need capabilities that sit in STREAM® Classic.

STREAM® Classic is the pathway for:

  • Configurable automations
  • Messaging and alerting
  • APIs
  • Advanced modelling
  • Quantitative analysis
  • Complex data sets
  • Enterprise-scale cyber GRC

Foundation

Built on STREAM® Cloud

A configurable workspace, structured records, registers, linked records, dashboards, evidence, permissions, audit history, and action tracking — the foundations AI governance teams need to keep AI inventory, classifications, obligations, and evidence connected.

See more in the STREAM® Cloud use cases hub.

STREAM® Cloud is not a legal-advice engine, automated EU AI Act classifier, model-monitoring platform, MLOps tool, conformity assessment body, AI system, automated compliance scoring tool, predictive risk analytics tool, or compliance guarantee.

Assurance Insight

The Vendor AI System No One Classified

See a synthetic scenario showing how a live vendor AI system can lack classification rationale, operator-role decisions, ownership, evidence and review status.

Read the scenario

See how STREAM® Cloud supports AI governance in practice

Walk through how your team could connect AI systems, classifications, obligations, evidence, reviews, and assurance reporting in one configurable workspace.