01
Hallucination & reliability
Detect whether the AI invents facts, fabricates sources, overstates confidence or gives inconsistent answers.
Corporate AI Evidence
Assess the risk of an AIbefore adopting it
We test the system externally in critical scenarios, record its responses and deliver a verifiable report so you can decide based on evidence.
Trusted by teams that buy, approve and deploy AI
ProcurementLegalComplianceSecurityRiskAI Governance
AI vendors make promises.
Your organization needs proof.
Before approving an AI system, corporate teams need to understand how it was tested, what it answered in critical scenarios, what risks were found, who reviewed the findings and whether the decision can be defended later.
Most evaluations still rely on demos, questionnaires, screenshots, PDFs, spreadsheets or internal logs. That may be enough for an initial review. It is not enough when a decision is challenged by legal, compliance, an auditor, a regulator or an internal governance committee.
Vendor claims are hard to verify
Screenshots are weak evidence
Internal logs are difficult to defend externally
AI risks are often discovered too late
Managed AI testing service
We don't replace the evaluation tools. We orchestrate them.
A fully managed AI testing service, designed to give your organization a complete, defensible evaluation — without rebuilding what already works.
TimeLockAI Evidence integrates with the leading AI infrastructure and evaluation providers, coordinating tests, results and evidence across the stack. Your team keeps the tools they trust. We handle the methodology, execution and verifiable record.
Compatible with leading AI infrastructure and evaluation providers
Orchestration layer
From AI testing to verifiable evidence
TimeLockAI Evidence is not another AI testing tool.
It is the orchestration layer that selects the right tests, applies the right methodology and turns AI evaluation results into independently verifiable evidence.
AI teams already have testing, evaluation and monitoring tools. What they lack is a defensible way to prove which tests were run, why they were selected, what the AI produced, what risks were found and who reviewed them.
- 01
Tool selection
Layer 01The right test for each use case, sector, risk and AI system.
- 02
Methodology library
Layer 02Audit-ready playbooks for procurement, reliability, safety, regulated decisions, human review and vendor trust.
- 03
Evidence normalization
Layer 03A common structure for outputs from different testing tools.
- 04
Risk finding schema
Layer 04Findings structured by severity, criterion, evidence, reviewer and verification status.
- 05
Human review workflow
Layer 05Validation and accountability beyond automated scanning.
- 06
TimeLockData evidence package
Layer 06Portable evidence that third parties can independently verify.
The deliverable
A verifiable evidence report your organization can defend.
evidence-package-2024-06-04.pdf
What we evaluate
We test what matters.
02
Safety & misuse
Test how the system responds to harmful instructions, policy bypass attempts, manipulated prompts and risky edge cases.
03
Bias & sensitive decisions
Assess whether the AI produces discriminatory outputs, influences decisions about people or fails to preserve human oversight.
04
Privacy & confidentiality
Check whether the system may expose sensitive data, reveal confidential information or mishandle internal data.
How it works
A clear process. Verifiable results.
- STEP 0101 / 06
Scope
We define the AI system, use case, workflows, data sensitivity, risk level and assessment objectives.
- STEP 0202 / 06
Design
We create test scenarios adapted to the use case and risk profile.
- STEP 0303 / 06
Run
Tests are executed, assisted by our team or through controlled automated workflows.
- STEP 0404 / 06
Review
Outputs are analyzed, classified by risk and reviewed by humans when needed.
- STEP 0505 / 06
Register
Critical prompts, outputs, findings and approvals are preserved as verifiable evidence packages.
- STEP 0606 / 06
Deliver
Your organization receives an executive report, evidence timeline and verification-ready documentation.
Differentiation
Not observability. Not generic AI governance. Not traditional consulting.
Observability tools help monitor systems. AI governance platforms help manage policies, inventories and workflows. Consulting firms usually deliver analysis, recommendations and reports. TimeLockAI Evidence focuses on a different problem: proving what happened during AI testing.
01
What was tested
02
What the AI answered
03
What failed
04
What was reviewed
05
What decision was made
Corporate AI Evidence Assessment
Independent AI testing with verifiable evidence.
A premium service for organizations evaluating AI before purchase, deployment or expansion into sensitive workflows.
STARTING AT
Engagements start from €25,000.
Final scope depends on the AI system, use case, deployment context, risk level, number of workflows, number of vendors and evidence requirements.
WHAT'S INCLUDED08
- 01Scope definition
- 02Risk analysis
- 03Test scenario design
- 04Test execution
- 05Finding review
- 06Evidence registration
- 07Executive reporting
- 08Verification-ready deliverables
Before you buy or deploy AI, test it with evidence.
Start Assessment and understand how TimeLockAI Evidence can help your organization evaluate AI systems with verifiable proof of the results.