How we work with you
Engagements that put evidence at the center — independent evaluation and assurance, enterprise consultation, and the programs that credential the people who oversee AI.
AI Evaluation
Know how your AI actually performs — not how it performs in a demo.
As vendors generate their own benchmarks at scale, the scarce thing becomes independent capacity to appraise those claims — to localize validation to your data, your risks, and your users. A model that scores well in general can still fail the cases that matter most to you.
Independent by design. We don't sell the systems we evaluate. Our incentive is an honest result and a reproducible method.
Task & capability testing
Performance on the tasks you actually depend on, against your acceptance criteria.
Red-teaming
Adversarial probing for jailbreaks, misuse, and failure modes specific to your deployment.
Safety & fairness
Bias, robustness, and safety across the populations and scenarios that matter.
Agent evaluation
Purpose-built harnesses for agentic systems — tool use, guardrail adherence, edge cases.
Reproducible harnesses
Every result ships with the method to reproduce it as the system evolves.
Evidence-ready reports
Findings packaged for engineering, risk, and leadership — and for assurance.
AI Assurance
Independent audits and attestation that earn trust — and stay current.
Regulation, procurement, and public scrutiny increasingly demand proof that an AI system is governed, tested, and safe. Internal assertions aren't independent — and a one-time audit goes stale the moment the model updates.
Assurance is a state, not a certificate. We help you keep it current, so "is this still safe?" is always evidence-backed.
Independent audit
Structured assessment of design, controls, and evidence against a chosen framework.
Framework mapping
Align to recognized standards, with gaps and remediation made explicit.
Attestation & reports
Defensible documentation for regulators, customers, and boards.
Continuous assurance
Re-assessment tied to model and system change, powered by the Evidence Fabric.
Compliance readiness
Prepare for AI regulation and sector obligations before they're at your door.
Remediation guidance
Practical steps to close gaps — not just a list of what's wrong.
- NIST AI RMF
- ISO/IEC 42001
- EU AI Act readiness
- Sector-specific canons
Enterprise consultation
Agentic systems designed to be governed — and the strategy to deploy them responsibly.
It's easy to stand up an agent that works in a demo. It's hard to deploy one you can trust in production, where it touches real systems, real money, and real people. We close that gap by treating governance as a design input, not an afterthought — and by helping leadership decide where AI belongs in the first place.
We build capacity, not dependency. The goal is to leave your team able to run this without us.
Agent architecture
Tool design, orchestration, and integration on open, portable primitives — no harness lock-in.
Guardrails & oversight
Policy and permission controls scoped to what each agent may do, with human-in-the-loop where it matters.
Observability
Tracing and monitoring that make every agent action reviewable.
AI readiness & use-case triage
Separate high-value, low-risk wins from initiatives that will cost you trust.
Governance design
Operating models, policies, and oversight that satisfy risk, legal, and regulators.
Board & leadership education
Give decision-makers the fluency to ask the right questions about AI risk and evidence.
Evidentia — credential program development & operations
You own the standard. We develop the content and run the program — building the oversight workforce that AI deployments assume but no one yet trains, certifies, or supplies.
Professional societies, standards organizations, and accreditation bodies are best placed to author what a competent AI practitioner should know. But authoring a standard and operating a credential program are different jobs — the second needs content development, assessment design, and technical exam infrastructure most bodies don't want to build in-house.
That's the Evidentia partnership: you keep authorship, accreditation, and brand authority; we build and run the program underneath it — on Evidentia infrastructure. If your body already publishes competency recommendations, the work is extension, not replacement — and an individual credential sits beside your program accreditation, not over it.
The LEED model, for AI competence.
One body authors the LEED standard while a separate operator administers the credential. Evidentia lets you set the standard while we build and run the assessment behind it.
Innovator Track
We co-design the credential with you — mapping competencies to recognized standards and defining the assessment blueprint, anchored to open primitives so it doesn't decay when tools change.
Creation Module
We build the substance: competency-mapped content and assessment items, plus the practical-exam infrastructure candidates are tested on.
Program management
Assessment delivery and proctoring, digital badging and public verification, cohort management, and annual content refresh.
| Role | The credentialing body (you) | ForEvidence |
|---|---|---|
| Standard & competencies | Author and own the framework | Advise on structure and standards alignment |
| Accreditation & brand | Grant the credential; hold the authority | Operate under your brand and rules |
| Content | Approve and govern | Develop courseware and assessment items |
| Assessment infrastructure | Set the bar | Build and run the exams and practical labs |
| Operations | Oversight & quality | Delivery, proctoring, badging, verification |
Your standard, your IP, our firewall — competencies are defined against open primitives, and we don't take positions that would compromise the credential's independence.
Public-interest advisory
Not every organization that needs independent counsel on AI oversight can fund commercial consulting. Nonprofits, policy bodies, and coalitions working in the public interest can access advisory support through our public-goods layer — funded by partners and foundations rather than by the organizations we advise.
See the public-goods layerTwo ways we advise
- Enterprise consultation — paid engagements, above
- Public-interest advisory — for nonprofits, policy bodies, and coalitions, through the commons
Let's scope an engagement
Tell us what you're deploying, assuring, or accrediting.