AI Product Development — Realis Solutions Group

The problem

You're adding AI to your product and nobody can tell you which safety, regulatory, and customer requirements actually apply, so the team guesses, or stalls.
Requirements surface late. A procurement questionnaire or a regulator's question arrives after the architecture is set, and retrofitting costs far more than designing for it would have.
You've already shipped AI features and can't produce independent evidence that they're reliable, safe, and governed.
An enterprise deal is stalled because "we built it, we're confident in it" isn't an acceptable answer to a buyer's security review.
Your team can build the product. What they can't do is objectively assess their own work, or anticipate what a buyer, auditor, or regulator will demand next.

Who this is for

Product and engineering leaders adding AI to an existing product, or building a new AI-powered one from scratch.
CPOs, CTOs, and heads of product who own both the roadmap and the launch date.
SaaS, healthtech, fintech, legaltech, and insurtech companies shipping AI features to enterprise customers.
Teams entering regulated markets or moving upmarket, where AI trustworthiness has become a procurement gate.
Any organization with a deal currently stalled because they can't produce independent AI evidence.

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.

Requirements & Compliance Map

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.

Product Trustworthiness Report

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.

Risk Register

Product-level risks catalogued and prioritized by business exposure (likelihood, impact, and recommended mitigations), so you know what to address and in what order.

Attestation Summary

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

Scoping + Product Context

Kickoff to establish where each product sits (in design, in build, or already shipped) and what you need to prove and to whom. Collect product artifacts: architecture docs, model cards, data sheets, roadmaps, and user-facing disclosures.

Requirements Mapping + Assessment

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.

III

Synthesis + Attestation Drafting

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, because the attestation gets forwarded, so it must be airtight.

Delivery + Strategy Session

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

Building or implementing the product. We advise the team that builds it; we don't write your AI.
Formal certification or legal guarantee (we are not a certification body).
Ongoing monitoring, continuous assessment, or retainer advisory (available separately).
Evaluation of how your organization builds AI generally: process, controls, and maturity across teams (see the AI Development Lifecycle Evaluation).

NEXT STEP

A 20-minute intro call with a Realis principal. We'll establish where your products sit, define the attestation audience, and give you a fixed price before you commit.

Requirements & Compliance Map

Product Trustworthiness Report

Risk Register

Attestation Summary

Scoping + Product Context

Requirements Mapping + Assessment

Synthesis + Attestation Drafting

Delivery + Strategy Session

Design it right, or prove it works.