Regulation & policy
Applicable rules, guidance, enforcement and jurisdictional change.
AI ASSURANCE & OPPORTUNITY
Know what changed. Know what matters. Know what to do next.
A recurring, senior-led service that tracks the external signals and internal AI estate that matter to your organization—then turns them into clear decisions, owned actions and credible opportunities.
CONTINUOUS CONTROLMonitor → Analyse → Prioritise → Recommend → TrackHuman judgement supported by disciplined automation.
THE PROBLEM
AI exposure changes after the project goes live.
New regulation, provider terms, model releases, incidents, vulnerabilities and cost shifts do not wait for the next annual review. At the same time, valuable new capabilities are easy to miss. Generic news feeds create noise; periodic governance exercises lose operational context.
IFDS maintains a customer-specific view of what you use, where it matters and who owns the response—so leadership receives relevance, not volume.
EIGHT WATCHED DIMENSIONS
A broader field of view, filtered through your real exposure.
Security & privacy
Threats, vulnerabilities, data handling and access-control implications.
Providers & contracts
Terms, availability, data commitments, deprecations and dependency risk.
Models & capabilities
Material releases, quality shifts, context limits and new modalities.
Performance & reliability
Evaluation drift, incidents, failure modes and operational resilience.
Cost & economics
Pricing changes, usage patterns and better value paths.
Governance & controls
Ownership, evidence, policies, approvals and human oversight.
Business opportunity
Capabilities that could improve a priority workflow or product.
CUSTOMER AI PROFILE
The context that makes intelligence relevant.
We establish and maintain a controlled profile of your AI systems, use cases, providers, jurisdictions, data sensitivity, business criticality, owners and accepted risk. It is the lens through which external intelligence is assessed.
Your confidential profile stays customer-specific. Any future benchmark aggregation requires a separate architecture, governance decision and explicit authorization.
ESTATESystems · models · providers
CONTEXTUse cases · data · jurisdictions
MATERIALITYCriticality · exposure · controls
OWNERSHIPDecision-makers · actions · evidence
THE RELEVANCE ENGINE
From a changing environment to an owned response.
The product is a decision system, not a dashboard of headlines.
YOUR ENVIRONMENTAI systems, providers, jurisdictions, controls and priorities
EXTERNAL INTELLIGENCERegulation, incidents, security, vendors, research and market change
CUSTOMER AI PROFILEIFDS relevance engineMateriality · evidence · urgency · ownership
IGNORENo material relevance
WATCHTrack a developing signal
ACTMitigate or decide now
OPPORTUNITYEvaluate beneficial change
EXAMPLE ALERTS
Brief, traceable and decision-ready.
A material model endpoint is being retired.
Why it matters: two customer workflows depend on it.
Recommendation: validate the replacement against existing acceptance tests before the migration window.
New guidance may affect a high-risk use case.
Why it matters: the current control record lacks one evidence category.
Recommendation: monitor final guidance and prepare the missing evidence owner.
A new capability could remove a manual review step.
Why it matters: it targets a known process constraint.
Recommendation: run a bounded value and control test before changing the workflow.
THE INITIAL ENGAGEMENT
AI Exposure & Opportunity Assessment
A focused baseline that maps the AI estate, identifies material exposure and establishes whether recurring assurance is justified.
Discuss the assessment- 01Scope
Agree systems, use cases, providers, jurisdictions and priority questions.
- 02Inventory
Build the first controlled AI Register and ownership map.
- 03Profile
Capture materiality, dependencies, controls and opportunity themes.
- 04Assess
Review exposure across all eight watched dimensions.
- 05Prioritise
Separate noise from watch items, required actions and opportunities.
- 06Recommend
Provide a senior decision brief with owners and next gates.
- 07Establish cadence
Define the recurring monitoring, review and escalation model.
THE RECURRING SERVICE
A continuous loop with a human decision point.
Automation expands coverage and keeps evidence organized. IFDS specialists assess relevance, challenge conclusions and frame recommendations. Customer owners retain decisions and accountability.
01Monitor
02Analyse
03Prioritise
04Recommend
05Track
AUTOMATION SUPPORTSCollection · change detection · matching · evidence organization
PEOPLE DECIDEMateriality · trade-offs · recommendations · acceptance
AI REGISTER
One maintained record of the estate and its obligations.
- Systems, use cases, models, providers and versions
- Business owners, technical owners and decision rights
- Data categories, jurisdictions and critical dependencies
- Controls, evaluations, incidents and accepted residual risk
- Open alerts, actions, evidence and review dates
DELIVERY MODEL
Senior assurance without a public price grid.
- Initial Exposure & Opportunity Assessment
- Agreed recurring monitoring and review cadence
- Decision-ready alerts and periodic leadership briefings
- Maintained AI Profile, Register and action history
- Optional deep dives or Delivery Pods for approved action
Scope depends on the estate, jurisdictions, criticality and required cadence. It is qualified before a proposal.
ASSURE & IMPROVE
Make continuous assurance part of how serious AI operates.
Begin with a bounded exposure assessment. Leave with a clearer estate, prioritized decisions and a practical recurring-control model.