Realis Solutions Group · AI Advisory
Build AI into your product without building in the risk.
We work with product teams putting AI into what they sell — mapping the safety, compliance, and buyer requirements before the architecture is locked, and producing independent evidence for the AI you've already shipped. One engagement covering both directions.
This is about the product. If the question is how your teams build AI across the board — process, controls, maturity — that's the AI Development Lifecycle Evaluation →
The problem
Who this is for
What you get
Requirements you can design against, and evidence you can hand to a buyer — plus a prioritized list of what to build and what to fix.
What actually applies to what you're building — regulatory obligations, sector requirements, and the questions enterprise buyers will ask — mapped early enough to design against instead of retrofit.
A scored assessment of your AI product across reliability, safety, fairness, transparency, and governance controls — evidence-backed findings with severity ratings, for what you've shipped or are about to.
Product-level risks catalogued and prioritized by business exposure — likelihood, impact, and recommended mitigations — so you know what to address and in what order.
A 3–5 page shareable proof artifact built to hand directly to enterprise procurement, regulators, or investors. Third-party evidence that self-certification cannot replace — and the artifact that unblocks stalled deals.
How it works
Kickoff to establish where each product sits — in design, in build, or already shipped — what you need to prove and to whom. Collect product artifacts: architecture docs, model cards, data sheets, roadmaps, and user-facing disclosures.
Map the obligations that actually apply — NIST AI RMF, ISO 42001, EU AI Act, and sector-specific rules — against your product and roadmap. Structured interviews with product, engineering, data, and legal/compliance, plus product walkthrough and output analysis.
Score the trustworthiness dimensions, build the risk register, sequence what to build and what to fix, and write the tailored Attestation Summary. Peer-reviewed by a second principal — the attestation gets forwarded, so it must be airtight.
Present findings and hand off the artifacts for immediate use. A 1-hour session on applying the requirements map to your roadmap, and deploying the attestation to close deals, answer questionnaires, and address diligence.
Logistics
| Format | Independent product engagement — new builds and shipped products |
| Duration | 2–5 weeks depending on scope |
| Participants | 6–10 stakeholders: product, eng, data, legal |
| Frameworks | NIST AI RMF · ISO 42001 · EU AI Act · sector-specific |
| Attestation | Tailored to your audience — procurement, regulator, or investor |
| Pricing | Fixed fee — quoted on the intro call, before you commit |
| Purchasing | Direct · AWS Marketplace · Partners |
What this does not include
Any question. 20 minutes. A real answer — no pitch. Tell us what you want to know when you book, and we'll come ready.