AI Readiness & Governance Assessment for Regulated Healthcare

Built for regulated healthcare. Defensible by design.

Kriv AI is a US-based AI consulting firm working exclusively with regulated industries — healthcare, life sciences, insurance, and financial services. Our AI Readiness & Governance Assessment is a four-week virtual engagement for CIOs, CDOs, CMIOs, and Chief Data Officers who need a defensible, auditable answer to: "Where are we actually ready to deploy AI, and where are we exposed?"

What you get

A 30–40 page deliverable that includes:

• Current-state readiness scorecard across seven dimensions: data governance, model governance, clinical safety, privacy and HIPAA posture, third-party AI risk, workforce readiness, and board-level oversight.

• Regulatory gap analysis mapped to: HIPAA Security Rule (§164.308/310/312/316), NIST AI RMF 1.0 (Govern / Map / Measure / Manage), HITRUST CSF v11.2 AI Security Assessment, ISO/IEC 42001:2024, Colorado SB 24-205 (high-risk AI deployer, enforcement 30 Jun 2026), Texas TRAIGA HB 149 (effective 1 Jan 2026), and SEC Regulation S-K Item 1.05 cyber disclosure.

• Reference architecture drawn from Kriv's 7-agent governed AI reference platform, translated into a cloud-agnostic target state, with AWS-native recommendations (Amazon Bedrock, Amazon HealthLake, AWS CloudTrail, AWS Config) where the customer is AWS-aligned.

• AI use-case inventory with per-item risk scores (clinical, privacy, financial, reputational).

• Prioritized 12-month roadmap with 90-day / 6-month / 12-month workstreams, owners, dependencies, and cost bands.

• Policy starter pack: acceptable use, model risk management, AI incident response, AI Governance Committee charter template.

• Board-ready executive summary (1 page) suitable for audit-committee review.

How the four weeks run

• Week 1 — Discovery. Exec sponsor kickoff, 5–12 stakeholder interviews, artifact review, environment walkthrough, shadow-AI inventory.

• Week 2 — Gap analysis. Control-by-control mapping against the seven-framework matrix; capability maturity scoring (levels 1–5); Claude-specific guidance where Anthropic models are in play.

• Week 3 — Architecture & roadmap. Target-state reference architecture, vendor/platform recommendations (single-cloud decision or multi-cloud comparison), roadmap drafting.

• Week 4 — Readout. Executive workshop (90 min), governance-committee working session, final deliverable handover.

Who this is for

Healthcare providers (200–1,500 beds); regional payers and PBMs (250K–2M members); digital health scale-ups (Series C–pre-IPO, 150–600 employees) preparing for enterprise procurement or board diligence; medical-device firms ($100M–$1B) navigating FDA PCCP guidance.

Why Kriv AI

• Member of the Anthropic Claude Partner Network (approved April 2026)

• AWS Select Tier Services Partner

• Regulated industries only — no generalist work

• Reference architecture validated in a live, governed 7-agent deployment

• Fixed scope, fixed fee, fixed 4-week clock — no SOW negotiation theater

Important — infrastructure costs

This engagement covers assessment services only. Any AWS infrastructure, Amazon Bedrock inference, Amazon HealthLake storage, CloudTrail data events, or third-party model usage costs incurred during or after the engagement are billed by AWS directly to the customer and are not included in the Kriv AI fee. Customer is solely responsible for executing its own Business Associate Agreement with AWS. Kriv AI delivers engineering and governance methodology only — not legal, regulatory, clinical, or compliance-attestation advice.

Get started

Contact info@kriv.ai  or +1 732 433 5564 to scope a private offer. Most engagements kick off within 2–3 weeks of contract signature.