Unclear ownership
When an AI-supported decision creates an operational or regulatory issue, responsibility is often fragmented across business, IT, legal and compliance.
Strategic AI Governance for Regulated Operations
Deploy AI agents without losing accountability.
AIRIS helps leadership teams define the decision rights, controls and evidence required before autonomous systems enter critical workflows.
Belgium-based · Founder-led · Designed for regulated environments
Accountability before autonomy
Control before scale
Evidence before trust
The Challenge
AI adoption is accelerating faster than accountability.
Prepare for the governance requirements and operational changes emerging across 2026, 2027 and beyond. Most organisations are deploying AI before defining who is responsible for what it does.
Decision rights unresolvedControl paths undocumentedEvidence trail incomplete
Invisible control gaps
Permissions, review thresholds and escalation paths are rarely designed before deployment. Organisations scale first and govern later.
Weak evidence
Organisations struggle to demonstrate who approved, reviewed or overrode a material AI action — a critical gap in regulated environments.
The AIRIS Method
A structured path from exposure to control.
Map
Identify AI use cases, workflows and decision points across the organisation.
Assess
Examine ownership, controls, oversight mechanisms and evidence gaps.
Prioritise
Distinguish immediate governance risks from longer-term structural needs.
Act
Deliver a practical, prioritised roadmap for the next 90 days.
The AIRIS Glass Box
A governance model designed to make AI-supported operations attributable, controlled, reviewable and continuously assessed.
Accountability
Who owns, approves, reviews and can override each material AI-supported decision? Accountability must be explicit before deployment.
Control
What permissions, thresholds, checkpoints and fallback mechanisms govern the system? Control structures define the boundaries of autonomous action.
Evidence
What records demonstrate how the organisation, system and human reviewers acted? Evidence is the foundation of any accountability claim.
Monitoring
Risk-proportionate monitoring, exception detection and scheduled governance reviews ensure the system remains within defined parameters.
What We Do
Three ways to engage.
Scope and sequencing depend on where your organisation is in its AI governance journey.
01 Readiness
AI Governance Readiness Assessment
Your organisation is deploying or planning AI, but governance, ownership and control structures are undefined.
AIRIS intervention
We map your AI use cases, identify governance gaps and assess accountability and oversight across critical workflows.
Typical outputs
- AI use-case inventory and risk map
- Accountability and control gap analysis
- Prioritised 90-day governance roadmap
02 Operating Model
Governance Operating Model
Decision rights, oversight responsibilities and escalation paths for AI-supported actions are unclear or undocumented.
AIRIS intervention
We define the governance structures, roles and evidence requirements needed to operate AI responsibly at scale.
Typical outputs
- Governance charter
- Decision-rights matrix (RACI)
- Escalation paths and control framework
03 Deployment
Controlled Agent Deployment
AI agents are entering critical workflows without explicit permissions, checkpoints or fallback mechanisms.
AIRIS intervention
We redesign selected workflows so autonomous agents operate within defined boundaries with human oversight built in.
Typical outputs
- Controlled workflow blueprint
- Monitoring plan and exception thresholds
- Implementation requirements and handover documentation
Illustrative Framework
What governance documentation looks like in practice.
The following examples illustrate the structure and format of AIRIS deliverables. Content is generic and does not represent any client engagement.
AI Use-Case Inventory
Illustrative sample, final structure is adapted to the engagement.Use case
Owner
Oversight required
Risk level
Review cycle
Claims triage agent
Operations Lead
Human approval for edge cases
High
Monthly
Contract review assistant
Legal Ops
Reviewer sign-off before external use
Medium
Quarterly
Client onboarding workflow
Head of Risk
Escalation above risk threshold
High
Monthly
Decision-Rights Matrix
Illustrative sample, final structure is adapted to the engagement.Action
Approver
Reviewer
Override authority
Evidence required
Approve autonomous hold
Risk Lead
Compliance Officer
COO
Decision log + rationale
Change agent permissions
Process Owner
IT Security
CIO
Access record + approval trail
Override AI recommendation
Business Owner
Risk Partner
Executive Sponsor
Override note + review record
The Founder
Eshal Rehman
Managing Director & Founder
Eshal founded AIRIS to help leadership teams close the gap between AI adoption and organisational accountability. Her work focuses on the operating models, decision rights and controls required to introduce AI into high-responsibility environments.
Book a Readiness Call"Technology should serve our vision, not obscure it."
Eshal Rehman
Common Questions
Frequently asked.
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No. The Executive Readiness Call is a focused introductory conversation — not a formal audit, legal review or compliance assessment. Its purpose is to understand your context, identify priority concerns and determine whether a structured AIRIS engagement would be relevant.
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AIRIS works with leadership, risk, compliance, transformation and operations teams dealing with AI in regulated or high-responsibility environments. Organisations in financial services, life sciences and regulated cross-border operations are typical clients.
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No. AIRIS can engage before deployment to build governance foundations, during a pilot phase to identify gaps, or when an existing use case needs to be brought under stronger control.
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No. AIRIS provides strategic and organisational advisory on AI governance. This does not constitute legal, regulatory or compliance advice. We recommend engaging qualified legal counsel for jurisdiction-specific requirements.
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There is no obligation. Depending on the conversation, next steps may include no further action, a targeted recommendation, or a proposal for a Governance Readiness Assessment. You decide what is appropriate.
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Confidentiality terms are defined before any exchange of sensitive information. AIRIS does not share client information with third parties without explicit agreement.
Get Started
AI autonomy requires organisational control.
Start with a focused conversation about your use cases, responsibilities and governance priorities.
Book an Executive Readiness Call Belgium-based · No commitment · Founder-led