STRATA Responsible AI
Global Responsible AI Governance

AI governance that feels like a product — not a PDF checklist.

STRATA gives boards, risk leaders, and AI builders a governance layer they can finally trust — turning principles into practical controls, evidence, and day-to-day operating models.

Unified portfolio view Controls & evidence Audit readiness
Best for
Patient-facing / consumer AI
Also for
Enterprise GenAI + analytics
Outcome
Measurable governance in delivery

Services

Portfolio mapping, controls & evidence, and audit readiness — designed to survive delivery pressure.

Workflow

A practical sequence: scope → risk framing → guardrails → evidence → sign-off.

About

Independent advisory focused on operational governance, clarity, and institutional alignment.

Trust

A single, credible testimonial — expanded over time as client outcomes grow.

🚀 Global Responsible AI Governance

Operational AI governance for teams deploying real systems

STRATA helps organizations stay ahead by translating high-level principles into concrete, auditable action — across sectors, jurisdictions, and technical stacks.

With STRATA, you get
  • A unified view of your AI portfolio
  • Mapped risks & impacts aligned to regulatory categories
  • A global controls library you can operationalize
  • Audit-ready evidence for boards & regulators

Portfolio Risk Mapping

See your entire AI landscape in one place. Map use-cases, risks, controls, and regulatory exposure in a single, coherent view so teams can prioritise confidently.

🧩
  • Inventory + ownership
  • Risk bands + impact signals
  • Reg exposure mapping

Controls & Evidence

Move from assumptions to proof. STRATA provides a structured controls library and evidence framework that makes compliance measurable, repeatable, and audit-ready.

  • Structured controls library
  • Mapped obligations
  • Evidence pipelines

🛡️ Audit Readiness

Whether you’re preparing for internal assurance, external audit, or regulatory review, STRATA gives you the artifacts, traceability, and documentation you need without the scramble.

🧾
Traceability
Risk → Control → Evidence
Packs
Regulator / board-ready
Workflows
Review & sign-off
Vision

Governance that runs like software

A trusted, practical governance layer for modern AI — global, measurable, and automation-ready.

🧭
Principles
→ Controls
Controls
→ Evidence
Evidence
→ Audit
Mission

Make compliance measurable, repeatable

Help organisations govern AI with clear controls, evidence pipelines, and operating models that stick.

🎯
  • Structured controls library
  • Mapped obligations across frameworks
  • Operational guidance teams can follow
  • Evidence capture ready for audit
Outcome
Governance becomes a day-to-day workflow, not a one-off policy.
Who we work with

Teams shipping real AI

Boards, risk & compliance, and AI product teams who need operational clarity across vendors and stacks.

🤝
Boards & execs
Risk posture + oversight
Risk & compliance
Evidence + audit
AI builders
Controls in delivery
Reg / assurance
Traceability
Typical starting point
Portfolio scoping → risk bands → control gaps → evidence checklist.

What You’ll See in the Workflow

Preview a guided assessment workflow in the protected cockpit to see how STRATA supports your governance lifecycle.

  1. Portfolio scoping
    Catalogue AI use cases, tools, and stakeholders.
  2. Risk & impact mapping
    Align with regulatory categories and thresholds.
  3. Control design
    Policies, procedures, and technical safeguards.
  4. Evidence & reporting
    Dashboards, packs, and audit ready artefacts.

Demo report (end-of-workflow)

To build

The protected demo should generate a report at the end (PDF/HTML): use-case inventory, risk rationale, control gaps, and evidence checklist.

  • Use-case inventory + categorisation
  • Risk/impact summary + rationale
  • Control gaps + recommended actions
  • Evidence checklist + traceability
Recent governance events (demo)
Light DOM updates; no refresh.
Time System Event Band

About STRATA

STRATA is a responsible AI governance advisory focused on turning governance principles into operational controls, measurable evidence, and audit-ready reporting.

Why STRATA

  • Independent advisory — no vendor agenda
  • Controls and evidence that scale globally
  • Designed for audits, regulators, and boards
  • Works across vendors and AI platforms

About Dr. Keishalee Shaw

Founder & Principal

Dr. Keishalee Shaw is a strategic business and responsible AI leader with 15+ years of experience across healthcare, technology, and R&D. She is the Founder and Principal of STRATA Responsible AI, advising organizations on AI governance, risk management, and regulatory readiness.

Previously, she led enterprise AI governance at Blue Cross Blue Shield of Massachusetts and is an Adjunct Professor at Brandeis University, where she teaches Business Intelligence and strategic decision-making.

Expertise
AI governance
Focus
Risk + readiness
Approach
Operational

Testimonials

What clients say about STRATA’s approach.

“Strategic clarity on guardrails and escalation.”
💬

Working with Dr. Keishalee Shaw was instrumental in strengthening how I framed the governance approach for our Patient Portal Guide Agent at SUNY Downstate. As Senior Program Manager for Digital Innovation & Equity, I was leading the design and validation of this AI-enabled Q&A tool for safety-net patients, and Dr. Shaw helped me think more rigorously about responsible AI design, risk framing, and institutional alignment. In a short session, she brought strategic clarity to the guardrails, escalation pathways, and transparency expectations that should be in place before patient-facing testing.

I’m grateful for her leadership in responsible AI governance and would confidently recommend her to organizations looking for clear, systems-level guidance.

Vikki S. Small, MPH, LSSGB, CSM
Senior Program Manager, Digital Innovation & Equity — SUNY Downstate Health Sciences University
Ambulatory Care Services

Start your governance journey with us

Share a few details and we’ll follow up with tailored options for an assessment or a protected Demo Area.

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