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Standard 04

Responsible AI

How AI-assisted systems are scoped, deployed, evaluated, and reviewed inside client engagements — governed against a documented framework and a boundary statement.

Precise institutional architecture

Core statement

Flow Group Ventures structures relevant engagements around the commercial, privacy, employment, marketing, technology, contractual, and data requirements applicable to the client, service, and jurisdiction. Where an engagement requires licensed, regulated, or jurisdiction-specific advice, Flow Group Ventures may coordinate with qualified local professionals or require the client to obtain appropriate advice.

Scope of this standard

Responsible AI covers every deployment of AI-assisted systems delivered under a Flow Group Ventures engagement — from research and content operations through automation and reporting.

How we apply it in practice

The operating controls used across engagements. Every control is calibrated to the applicable jurisdiction and role.

  • Define the business purpose
  • Assess data sensitivity
  • Identify legal and contractual limitations
  • Establish human oversight
  • Test accuracy against defined benchmarks
  • Control access and permissioning
  • Document the workflow end to end
  • Monitor outcomes on a defined cadence
  • Review vendors and model providers
  • Create escalation procedures for failure modes

Governance lifecycle

Every engagement moves through a documented five-stage governance lifecycle.

  • Identify — the applicable commercial, privacy, employment, marketing, and technology considerations.
  • Assess — the jurisdictions, roles, data, and risk profile in scope.
  • Structure — engagement classification, contracts, and controls.
  • Review — periodic review across the engagement lifecycle.
  • Monitor — ongoing monitoring against outcomes, incidents, and change.

Operating principles

The principles applied across every engagement, calibrated to the jurisdictions and roles involved.

  • Applicable-law assessment
  • Jurisdiction-sensitive contracting
  • Data minimisation
  • Role-based access
  • Appropriate consent management
  • Vendor review
  • Subprocessor review
  • Recruitment privacy
  • Human review of consequential outputs
  • Anti-discrimination standards
  • Documented escalation
  • Access controls
  • Data retention controls
  • Local professional involvement where required
  • Region-aware marketing practices
  • Appropriate employment-classification review

Responsible AI boundary statement

AI-assisted systems should not independently make high-impact legal, employment, medical, financial, or similarly consequential decisions without appropriate human review and qualified professional oversight.

What this page does not claim

This page describes the operating standards and controls the group applies. It does not claim, and should not be read to imply, universal compliance or certification against any specific framework.

  • We do not claim compliance with every law in every country.
  • We do not claim to be 'fully compliant worldwide' or 'legally approved globally'.
  • We do not claim certification under GDPR, HIPAA, SOC 2, ISO, or equivalent frameworks unless an independent certification is separately published on this page.
  • We do not claim guaranteed compliance outcomes.

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