Core Offering

AI Readiness Assessment & Governance Framework

A structured AI maturity assessment to move your AI from scattered pilots to a model AI governance framework. Our AI governance consulting helps you validate data, models, and operations ensuring responsible AI adoption.

Assess compliance with our comprehensive AI compliance assessment.
Identify compliance and security gaps before they become audit findings.
Prioritize use cases with real ROI and clear owners.
Get a phased roadmap from pilot to governed production.

Take the AI Maturity Quiz

AI Readiness Checklist

Sample Output

Overall AI Maturity

2.3/ 5

Developing Stage

Data

2.8

Governance

1.9

Models

2.5

Operations

2.1

Example outputs included:

Maturity ScoreRisk MapUse Case Portfolio90-Day Roadmap

Most AI Initiatives Fail in Governance, Not Models

The technology is rarely the bottleneck. The real barriers are organizational.

The AI Paradox: Organizations invest millions in AI tools and talent, run promising pilots, yet see little bottom-line impact. The models work. The dashboards are built. But nothing makes it to production.

The biggest blockers aren't technical—they're data readiness, fragmented tooling, lack of governance, and no clear roadmap from experimentation to value.

In healthcare and life sciences, this challenge is amplified by regulation. HIPAA, GDPR, clinical quality requirements, and audit trails aren't optional—they're table stakes. Shadow AI deployments create risk. Ungoverned models erode trust.

The solution isn't more tools. It's clarity on where you stand and a governed path forward.

Does this sound familiar?

We have AI pilots but nothing in production.

We're unsure if our AI workflows are HIPAA-aligned.

Data is siloed across EHR, CRM, Excel, and vendors.

No clear AI owner across IT, data, and compliance.

Leadership is asking for ROI but we can't show it.

We've invested in tools but don't have a strategy.

If two or more feel true, the AI Readiness & Governance Assessment is likely your best first step.

What the Assessment Covers

A comprehensive, four-pillar diagnostic that leaves no stone unturned.

Data & Infrastructure Readiness

We assess your data sources, quality, accessibility, and lineage. We evaluate your cloud and data platforms—AWS, Azure, Databricks, Snowflake—and identify gaps for AI workloads.

Data source inventory & quality assessment
Cloud platform evaluation
Integration & accessibility gaps

Use Case & Value Mapping

We inventory your current and planned AI use cases, align them with business value and feasibility, and prioritize 3–5 'high-ROI, low-regret' candidates for your first governed initiatives.

Use case inventory & prioritization
Value vs. feasibility analysis
Quick-win identification

Governance, Risk & Compliance

We review your governance policies against HIPAA, GDPR, and industry-specific regulations. We map to frameworks like NIST AI RMF and identify risks around bias, access control, and auditability.

Policy & compliance gap analysis
NIST AI RMF alignment check
Bias & fairness risk assessment

Operating Model & Talent

We assess roles and responsibilities across IT, data, and compliance. We understand your current MLOps and automation practices and suggest an initial operating model for governed AI.

Role & responsibility mapping
MLOps maturity assessment
Operating model recommendations

What You Receive

Tangible artifacts designed for action, not just analysis.

Executive Summary & Maturity Score

A concise document for C-suite summarizing findings, overall AI maturity level, and key recommendations.

Risk & Gap Map

Visual mapping of key risks and gaps across data, governance, and operations—with severity ratings.

Prioritized AI Use Case Portfolio

Clear list of recommended use cases with effort vs. impact scoring and suggested owners.

Phased Roadmap (60–180 Days)

Simple phased plan: what to do first, next, and later—including pilot candidates and quick wins.

Delivery Format

Delivered as: Presentation (PDF/Slides) + optional 60–90 min workshop with your leadership team.

Language Support

Primary: English. Discussion support available in Hindi, German, Chinese, Bengali, and Marathi if needed.

How the Assessment Works

A focused, 3–4 week engagement designed for minimal disruption and maximum clarity.

Discover

Week 0–1

Kickoff call, stakeholder interviews (IT, data, compliance, business). We request access to relevant architecture and policy documents.

Diagnose

Week 1–2

Deep-dive into data, tools, use cases, and governance artifacts. We conduct maturity scoring and risk mapping using our proprietary framework.

Design

Week 2–3

Draft roadmap, use case portfolio, and recommended operating model. Internal review and refinement with your team's input.

Debrief

Week 3–4

Final presentation with key stakeholders. Hand-off of all artifacts. Optional proposal for pilot implementation or ongoing governance support.

See our delivery methodology in more detail

Who This Assessment Is For

Designed for regulated organizations ready to move from AI experimentation to governed production.

Organizations

Healthcare providers and life sciences companies ($20M–$300M revenue range)
Pharma R&D divisions with scattered AI experiments
Regulated mid-market organizations exploring LLMs and automation
Organizations on AWS, Azure, or Databricks looking to operationalize AI

Key Stakeholders

CTO / CIO

Under pressure to show ROI on AI spend without increasing operational risk.

Chief Data / Analytics Officer

Struggling to move from dashboards and pilots to production AI.

Compliance / Risk Lead

Worried about shadow AI and ungoverned models creating audit findings.

Operations Leader

Looking for automation that actually works within existing workflows.

Not sure whether you fit?

Book a 30-minute AI Readiness Check and we'll tell you honestly

Outcomes You Can Expect

Walk away with more than a report—walk away with direction.

Clarity

A shared understanding of your AI maturity, risks, and opportunities across IT, data, and compliance.

Confidence

Confidence that your next AI steps won't clash with HIPAA/GDPR or internal policies.

Focus

A prioritized roadmap of 3–5 AI initiatives that can actually be delivered in the next 6–12 months.

Not a generic checklist.

This assessment is tailored to your stack—AWS, Azure, Databricks, Snowflake, Zapier, Power Automate—and your regulatory environment. We don't apply cookie-cutter frameworks. We meet you where you are.

Structured, Fixed-Scope Engagement

We run the AI Readiness & Governance Assessment as a fixed-scope engagement, so you know exactly what you get and when you get it. No surprises, no scope creep.

3–4 weeks typical engagement

Fixed price with clear scope

Most clients complete the assessment with their teams investing a manageable number of hours in workshops and interviews—typically 6–10 hours total across stakeholders.

Learn how we price engagements