Jumpstart (AI Product Assessment) — Realis Solutions Group

The problem

An enterprise deal is stalled in procurement — the customer wants independent evidence your AI is safe and trustworthy before they sign.
A vendor questionnaire arrived with AI-specific questions your team can't confidently answer — and "we built it, we're confident in it" isn't acceptable.
You're launching an AI feature into enterprise or regulated markets without third-party validation to back your claims.
Series B or later investors are running AI risk diligence and expect more than a self-assessment.
Moving upmarket exposes the gap: internal confidence ≠ the independent evidence enterprise buyers require.

Who this is for

SaaS, healthtech, fintech, legaltech, and insurtech companies shipping AI-powered products to enterprise customers.
CEOs, CPOs, and CTOs whose product is generating AI governance questions from customers, investors, or regulators.
Product managers fielding enterprise procurement questionnaires about AI safety and trustworthiness.
Companies entering regulated markets or moving upmarket where AI trustworthiness is a procurement gate.
Any organization with a deal currently stalled because they can't produce independent AI evidence.

What you get

The Attestation Summary is the artifact that unblocks deals — designed to be forwarded, attached to questionnaires, or presented to a board.

Trustworthiness Report

A scored assessment across reliability, safety, fairness, transparency, and governance controls — with evidence-backed findings and severity ratings.

Risk Register

Catalogued product-level risks prioritized by business exposure — likelihood, impact, and recommended mitigations — so you know what to fix and in what order.

Attestation Summary

A 3–5 page shareable proof artifact designed to be handed directly to enterprise procurement, regulators, or investors. Third-party evidence self-certification can't replace.

Remediation Priorities

The top 5–10 specific, actionable fixes ranked by risk-reduction impact — with effort estimates and sequencing, so your team knows what to do Monday morning.

How it works

Scoping + Evidence Collection

Kickoff to define the target audience for the Attestation Summary and what you need to prove. Collect product artifacts — architecture docs, model cards, data sheets, monitoring dashboards, and user-facing disclosures.

Assessment + Stakeholder Interviews

Structured interviews with product, engineering, data, and legal/compliance teams. Product walkthrough and output analysis across trustworthiness dimensions, benchmarked to NIST AI RMF, ISO 42001, and sector-specific requirements.

III

Synthesis + Attestation Drafting

Score dimensions, build the risk register, draft the report, and write the tailored Attestation Summary. Peer-reviewed by a second principal — it will be forwarded, so it must be airtight.

Delivery + Strategy Session

Present findings and hand off the Attestation Summary for immediate use. A 1-hour session on deploying the artifacts to close deals, respond to questionnaires, and address diligence.

Logistics

Format	Independent product assessment
Duration	2–5 weeks depending on scope
Participants	6–10 stakeholders: product, eng, data, legal
Attestation	Tailored to procurement, regulator, or investor
Purchasing	Direct · AWS Marketplace · Partners
Follow-up	Report + 1hr deployment strategy session

What this does not include

Formal certification or legal guarantee (we are not a certification body).
Ongoing monitoring, continuous assessment, or retainer advisory (available separately).
Process or governance evaluation of how the product was built (see AI-DLC Evaluation).

NEXT STEP

A 20-minute intro call with a Realis principal. We'll define the attestation audience, scope the engagement, and give you a fixed price before you commit.

Trustworthiness Report

Risk Register

Attestation Summary

Remediation Priorities

Scoping + Evidence Collection

Assessment + Stakeholder Interviews

Synthesis + Attestation Drafting

Delivery + Strategy Session

Turn confidence into evidence.