Trigger: Your AI context is sensitive, specific, or cross-domain.
Custom AI Evidence Ripples
Any sensitive AI context
deserves structured evidence.
Configure evidence families, reviewer roles, access conditions, and context visas for any domain that does not fit a standard framework.
Custom Ripple Builder
Generated Ripple — Preview
Sensitive context
Why some sensitive contexts do not fit predefined frameworks.
AI governance frameworks often assume clean category boundaries. Real deployments cross multiple sensitive contexts simultaneously — a research platform with health data, a financial system operating in a regulated jurisdiction with specific local requirements, or an agentic AI operating across multiple sensitive domains. Custom Ripples let you configure evidence for the actual context.
Data categories in scope
People affected
Risk scenarios
What typically goes wrong.
Specific failure modes seen in this sensitive context — without structured evidence.
A research platform processing health and financial data is assessed against health standards only.
Financial drift, explainability, and lineage evidence missing. The intersection creates evidence gaps invisible in a single-domain review.
A sector-specific AI tool has unique compliance obligations not covered by standard evidence families.
Standard Ripple template leaves key risk categories undocumented. Regulator asks for evidence not captured in generic structure.
An agentic AI system spans HR, financial, and customer service domains.
Each domain has different evidence requirements. Generic Ripple covers none of them adequately. Multiple reviewers have different unanswered questions.
Border control, applied here
Scan the system. Issue the passport. Grant the visa.
What the scan finds in this context, what the passport records, and what conditions the visa attaches.
Currents
the scanWhat AI is running, and what do we not know about it?
Currents opens the file against every context the system actually touches at once — not the one it was procured under. A platform spanning health and financial data is scanned against both, and the intersection is where the gaps are found.
Ripples
the passportWhat is this system, and what is proven about it?
The Ripple carries the configured evidence families for each domain in a single record, with the reviewer routing each section requires — and marks explicitly which families are pending integration rather than reporting them as complete.
Scope
What needs a Ripple.
Stakeholder workflow
From trigger to access decision.
Scan
Art. 6 route · Annex III test
Evidence call
Annex IV · Art. 10 bias file
Seal Review
DPO · CISO · Art. 14 owner
Droplet
Conditions bound · expiring
Re-scan
On retrain, drift or model swap
Scan
Art. 6 route · Annex III test
Evidence call
Annex IV · Art. 10 bias file
Seal Review
DPO · CISO · Art. 14 owner
Droplet
Conditions bound · expiring
Re-scan
On retrain, drift or model swap
AI Governance Lead
“An AI system does not fit existing sensitive-context Ripple templates.”
Design a custom Ripple with the AffectLog team. Configure evidence families, reviewer routing, and access conditions for your context.
DPO
“A cross-domain AI system accesses multiple sensitive data categories.”
Require all relevant evidence families to be configured in the custom Ripple before any clearance is considered.
Domain Specialist (e.g. Clinical, Legal, Safety)
“Standard AI governance review is insufficient for the domain.”
Define specialist review conditions in the Ripple. Become a named reviewer role in the custom routing.
Access decisions
Context Droplet conditions.
The access decisions that apply in this sensitive context — and the evidence conditions that produce them.
- All configured evidence families complete above threshold
- Custom reviewer roles have completed review
- Domain-specific access conditions documented and accepted
- One or more custom evidence families incomplete
- Domain-specific reviewer has not yet reviewed
- Cross-domain evidence gaps identified
- Custom domain requires specialist human review before decision
- Cross-domain reviewer panel required
- Critical domain-specific evidence families absent
- Custom reviewer rejects clearance on domain-specific grounds
Measurement
Evidence families we can structure.
The measurable evidence categories relevant to this context and the evidence signals they produce.
Configurable Evidence Matrix
Select from all standard evidence families — or define domain-specific custom families. Configure thresholds, required fields, and reviewer routing per family.
Custom Context Packages
Pre-configured evidence sets for common cross-domain combinations: health-research, financial-HR, government-health, research-dataspaces, and others.
Custom Reviewer Routing
Define which reviewer roles receive which evidence sections. Route custom domain evidence to specialists outside the standard DPO/CISO/Procurement path.
Underpromise Configuration
Define domain-specific underpromise language — what AffectLog will not claim — for your context. Ensures trust and honest scope in every Ripple.
Jurisdiction-Specific Metadata
Add jurisdiction-specific required fields, legal basis options, and certification reference fields for non-EU contexts.
Honest scope
What remains not assessable.
AffectLog does not overclaim. These items require external expertise, regulatory process, or long-term study.
Any evidence family not yet integrated with AffectLog
Evidence collection requires integration with the relevant tool or a local runner deployment. Custom domains outside our current package set require integration work.
Instead: Contact the AffectLog team to discuss integration requirements for your specific tooling stack.
Domain-specific regulatory compliance without specialist input
Highly specialised regulatory contexts require domain experts who understand the specific legal obligations of that sector and jurisdiction.
Instead: Engage domain specialists alongside AffectLog. We provide the technical evidence infrastructure; specialist input provides the regulatory interpretation.
Example
Sample Ripple for this context.
HealthFinance Analytics Platform
Cross-domain research and risk analytics · Health + Financial
Access conditions
What we will not overclaim
Custom Ripples are only as strong as the evidence families configured. AffectLog does not overclaim coverage for domain-specific obligations outside our integrated evidence packages. We make explicit which families are configured, which are pending integration, and what specialist review is required.
Common questions
Questions this context raises.
“Our AI context is too specific for any off-the-shelf governance tool.”
That is exactly why custom Ripples exist. AffectLog provides the configurable infrastructure — you define the evidence families, reviewer roles, access conditions, and underpromise language for your specific context.
“We already have a bespoke internal governance process.”
AffectLog can structure your internal evidence as evidence records and attach it to a Ripple — making your existing governance visible to procurement, DPO, and external reviewers without replacing your internal workflow.
Get started
Design a Ripple for
your specific sensitive context.
Talk to the AffectLog team about your cross-domain or sector-specific AI governance requirements. We can configure custom evidence families, reviewer routing, and access conditions for your context.
AffectLog provides configurable technical and operational evidence infrastructure. Not legal advice, regulatory certification, or domain-specific compliance sign-off.