NIST AI RMF · ISO/IEC 42001 · OWASP LLM Top 10 · Microsoft Responsible AI

AI Readiness AssessmentData · Governance · Security · Use Cases · People

A structured 5-pillar evaluation that scores your environment against NIST AI RMF, ISO/IEC 42001, and Microsoft Responsible AI — then hands back a prioritized 90/180/365-day roadmap. Built for businesses preparing to deploy Microsoft 365 Copilot, Copilot Studio agents, ChatGPT Enterprise, or custom workflow automation. Delivered 100% remotely to organizations across the United States.

5 Pillars Scored8 Frameworks MappedRemote Nationwide10–500 Users
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    Quick Answer

    An AI readiness assessment is a structured evaluation of whether your organization can safely and productively deploy generative AI tools like Microsoft 365 Copilot, Copilot Studio agents, ChatGPT Enterprise, or Claude for Work. It scores five pillars — data foundation, governance, security and identity, use case pipeline, and people and process — against frameworks including NIST AI RMF 1.0, ISO/IEC 42001:2023, OWASP LLM Top 10, MITRE ATLAS, and the EU AI Act. On-Site Technology delivers the assessment remotely across the United States, with deepest engineering capacity in Northern NJ, the NYC metro, Pennsylvania, and South Florida.


    5 Pillars
    Data, governance, security,
    use cases, people
    10–500
    Users per org
    we support
    8 Frameworks
    NIST, ISO, OWASP,
    EU AI Act, more
    100%
    Remote-delivered
    U.S. nationwide

    The 2026 Reality

    Why You Need a Readiness Assessment Before You Deploy AI

    Most AI rollouts fail not at the model but at the surrounding environment: ungoverned data, oversharing in SharePoint, no acceptable-use policy, no incident playbook for prompt injection. These six pressures are what we score against.

    Shadow AI is everywhere

    Employees are pasting client data, payroll, and source code into ChatGPT, Gemini, and Claude on personal accounts. You have zero visibility, zero DLP, zero audit trail.

    Copilot oversharing risk

    Microsoft 365 Copilot grounds on every file the user can technically access. Years of permissive SharePoint sprawl mean Copilot can surface salaries, M&A docs, and HR cases to anyone who asks.

    No AI policy, no signal

    Most SMBs still have no acceptable-use policy, no model registry, no vendor approval process. Auditors, insurers, and enterprise customers are starting to ask — and a blank page is not the answer.

    Compliance is catching up

    SOC 2, HIPAA, CMMC 2.0, and the EU AI Act now expect documented AI governance. NIST AI RMF and ISO/IEC 42001 are becoming the procurement standard. Readiness is the proof you can produce.

    The productivity gap is real

    Knowledge workers using Copilot, Claude, or ChatGPT report 6–14% productivity gains on focused tasks. That gap compounds. The question is not whether to deploy AI, but how to deploy it without giving away the data behind it.

    Your competitors are moving

    Peers are deploying Copilot Studio agents for sales, AP, and customer support right now. A readiness plan tells you which use cases will pay back fastest at your size, with your stack, with your risk tolerance.


    What We Score

    The 5 Pillars of AI Readiness

    Every assessment maps your environment to these five pillars and produces a 0–5 maturity score per pillar. Gaps become roadmap items. Strengths become accelerators.

    1. Data Foundation

    Can Copilot find the right answer without finding the wrong one?

    • SharePoint and OneDrive permission audit
    • Microsoft Purview sensitivity label coverage
    • Information architecture and site sprawl
    • Source-of-truth identification
    • Records retention and disposition

    2. Governance & Policy

    Who decides which models, with what data, for what purpose?

    • Acceptable-use policy gap analysis
    • Vendor and model approval workflow
    • Model registry and inventory
    • NIST AI RMF and ISO/IEC 42001 mapping
    • Board-ready governance documentation

    3. Security & Identity

    Can the model be tricked, leaked, or weaponized in your tenant?

    • Microsoft Entra Conditional Access for AI
    • Purview DLP rules for generative tools
    • Defender for Cloud Apps shadow-AI discovery
    • OWASP LLM Top 10 (2025) controls map
    • Prompt injection and jailbreak playbook

    4. Use Case Pipeline

    Which 3 workflows pay back the assessment in 90 days?

    • Workflow discovery interviews by department
    • RICE / ROI scoring per use case
    • Copilot Studio agent candidate shortlist
    • Build vs. buy vs. license decision
    • Pilot success criteria and KPIs

    5. People & Process

    Will adoption stick six months after the kickoff lunch?

    • Skills inventory and training gap
    • Change management plan by role
    • Champions network and office hours
    • Adoption metrics and review cadence
    • Executive sponsorship checkpoints
    Output

    A scorecard, a roadmap, and a 90-day plan you can actually run.

    Every pillar gets a 0–5 maturity score, a gap list, and a prioritized remediation track. The deck is built for a board, not a science fair.

    Scope My Assessment


    Frameworks & Standards

    Mapped to the Standards Auditors and Buyers Are Asking About

    Your assessment scorecard cross-references the eight frameworks below. So when SOC 2, your cyber insurer, or your largest enterprise customer asks “what is your AI program?”, you have an answer that maps to what they are reading.

    NIST AI RMF 1.0

    Govern, Map, Measure, Manage — the U.S. baseline for AI risk.

    ISO/IEC 42001:2023

    The international AI management system standard. Procurement asks for it.

    OWASP LLM Top 10

    Prompt injection, data leakage, supply chain — the 2025 attack catalog.

    EU AI Act

    If you sell to or process EU resident data, the risk tiers apply to you.

    Microsoft Responsible AI

    Microsoft’s six principles — the spec for any Copilot or Azure AI rollout.

    NIST CSF 2.0

    The Govern function maps directly to AI policy and oversight.

    MITRE ATLAS

    The adversarial-ML threat matrix — how attackers actually target AI systems.

    SOC 2 / HIPAA / CMMC

    Where AI controls overlap your existing compliance program.


    Free · 60 Seconds · No Email

    Get Your Instant AI Readiness Score

    Eight quick questions. We score your environment against the five pillars and tell you whether you are Foundation-needed, Pilot-ready, or Scale-ready — right on this page, no signup.

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    This score is informational only. A full AI Readiness Assessment evaluates 30+ controls and produces a board-ready scorecard, gap report, and 90/180/365-day roadmap.


    Our Methodology

    5 Steps from Kickoff to Pilot-Ready

    Every engagement follows the same five steps. Outputs are progressive: each step produces an artifact that becomes input to the next. No surprise deliverables.

    1

    Discovery

    Stakeholder interviews, current-state workshop, and a structured intake covering tools, data, and risk appetite.

    2

    Assessment

    Tenant scan, SharePoint permission audit, Purview and Defender configuration review, and policy gap analysis.

    3

    Scoring

    0–5 maturity score per pillar, framework crosswalk, and a heatmap that highlights blockers vs. accelerators.

    4

    Roadmap

    Prioritized 90/180/365-day plan with effort estimates, dependencies, and the order operations should run in.

    5

    Pilot Plan

    First use case scoped end-to-end: Copilot deployment, Studio agent, or workflow automation, with success criteria.


    Engagement Tiers

    Pick the Depth That Fits Your Stage

    Three engagement depths, all delivered remotely. Pricing is scoped to your environment after a short discovery call — we do not publish flat tiers because a 30-person law firm and a 350-person manufacturer have very different surface areas.

    Quick Scan

    A focused readiness pulse for organizations evaluating AI for the first time or scoping a single Copilot rollout.

    • 5–7 stakeholder interviews
    • 4 of 5 pillars scored
    • SharePoint top-level oversharing scan
    • Acceptable-use policy starter
    • Top 3 use case shortlist
    • Executive briefing deck
    • 30-minute readout call
    Timeline: ~1 week from kickoff

    Scope a Quick Scan

    Most Common

    Standard

    The full 5-pillar assessment for organizations preparing to deploy Copilot, Studio agents, or a workflow automation pilot.

    • 10–15 stakeholder interviews
    • All 5 pillars scored 0–5
    • Full Purview, Entra, Defender review
    • SharePoint sensitivity-label gap audit
    • Framework crosswalk (NIST, ISO, OWASP)
    • 90/180/365-day prioritized roadmap
    • Board-ready scorecard + leadership readout
    Timeline: ~3 weeks from kickoff

    Scope a Standard Assessment

    Comprehensive

    Standard scope plus a built-and-deployed pilot agent or workflow, governance documentation, and a training plan.

    • Everything in Standard
    • 1 Copilot Studio agent built end-to-end
    • OR 1 workflow automation deployed
    • Full ISO/IEC 42001-aligned policy set
    • Champion network rollout plan
    • Role-based training materials
    • 30-day post-pilot review
    Timeline: ~6 weeks from kickoff

    Scope a Comprehensive Engagement


    Industries We Serve

    Tuned to Your Industry’s Risk Profile

    Healthcare and finance need different controls than a law firm or a manufacturer. We tune the assessment scoring weights and use case shortlist to your sector.

    Legal

    Privilege protection, matter confidentiality, ABA Model Rule 1.6 alignment.

    Healthcare

    HIPAA-aligned BAAs, PHI redaction, OCR Risk Analysis updates.

    Manufacturing

    CMMC 2.0 alignment, IP protection, supply-chain prompt safety.

    Finance & Accounting

    SOC 2 controls, NY DFS Part 500, FINRA-aware AI policy.

    Professional Services

    Client-confidentiality controls, billable-hour automation, RFP agents.

    Education

    FERPA-aware Copilot, student data minimization, faculty AI policy.

    Non-Profit

    Donor data care, grant writing automation, lean stack guidance.

    Government & Public Sector

    FedRAMP-aware, public records compliance, citizen-data minimization.


    Deep Dive

    What Does AI Readiness Actually Mean for a Mid-Sized Business?

    In one sentence: AI readiness is the gap between “we bought Copilot licenses” and “Copilot is producing measurable, governed, defensible value across the org.”

    For a 50-person professional services firm or a 250-person manufacturer, AI readiness is not about training a foundation model or hiring data scientists. It is about five practical capabilities. Can we trust the data the model will see? If your SharePoint has a decade of permissive sharing, Copilot will surface things you do not want surfaced. Do we have a policy that survives an audit? Acceptable use, vendor approval, model registry, incident response — the four documents your cyber insurer is starting to ask for.

    Are our identity and DLP controls AI-aware? Microsoft Entra Conditional Access, Microsoft Purview DLP, and Microsoft Defender for Cloud Apps each need specific configuration to govern generative AI — the defaults do not cover it. Do we know which 3 use cases we will run first? Without a use case shortlist, deployments default to “everyone gets a license,” which produces low adoption and no measurable ROI. Will the people actually use it? Adoption requires champions, training tied to real workflows, and an executive review cadence — not a single launch lunch.

    An AI readiness assessment turns each of those questions into a 0–5 score, a gap report, and a 90-day plan that pays back the engagement before the next quarter ends. The companies that move first — in our experience across Microsoft 365 Copilot, Copilot Studio, ChatGPT Enterprise, and custom Azure OpenAI deployments — tend to be the ones that treat readiness as the entry point, not as something to skip on the way to a license activation.


    FAQ

    Frequently Asked Questions

    The questions buyers actually ask before scoping an AI readiness engagement.

    What is an AI readiness assessment?

    An AI readiness assessment is a structured evaluation that scores your organization across five pillars — data foundation, governance and policy, security and identity, use case pipeline, and people and process — against frameworks including NIST AI RMF 1.0, ISO/IEC 42001:2023, OWASP LLM Top 10, and Microsoft Responsible AI. It produces a 0–5 maturity score per pillar, a gap report, a framework crosswalk, and a prioritized 90/180/365-day roadmap.

    How long does the assessment take?

    Quick Scan engagements run about one week from kickoff to readout. Standard engagements run about three weeks. Comprehensive engagements, which include building one Copilot Studio agent or workflow automation pilot, run about six weeks. Timing depends on stakeholder availability and tenant access; we will scope it precisely after a 30-minute discovery call.

    What does an AI readiness assessment cost?

    Pricing is scoped to your environment and shared after a discovery call. We do not publish flat tiers because a 30-person law firm and a 350-person manufacturer have very different surface areas. Quick Scan engagements start small; Standard and Comprehensive engagements scale with stakeholder count, tenant complexity, and pilot scope. Request a scoped quote and we will come back within one business day.

    Do we need this before deploying Microsoft 365 Copilot?

    Strongly recommended. Microsoft 365 Copilot grounds on every file the user can already access in SharePoint, OneDrive, and Teams. Years of permissive sharing mean Copilot can surface salaries, M&A documents, HR cases, and other sensitive content the moment a user asks the right question. A readiness assessment fixes the SharePoint, Microsoft Purview, and Entra ID gaps before activation rather than after a leak. See our Microsoft Copilot services page for the deployment side.

    Will this help with HIPAA, SOC 2, or CMMC?

    Yes. The assessment scorecard cross-references HIPAA, SOC 2 Type II, CMMC 2.0, NIST CSF 2.0, NIST AI RMF, and ISO/IEC 42001 controls. If you are pursuing or maintaining any of these, the readiness deliverables map directly to the AI-related questions auditors and procurement teams now ask. Pair it with our Managed Cybersecurity or CMMC Compliance Readiness programs for end-to-end coverage.

    What is the difference between an AI readiness assessment and an AI strategy engagement?

    A readiness assessment evaluates current state and produces a remediation plan. An AI strategy engagement is broader and forward-looking: vision, target architecture, build-vs-buy decisions, multi-year investment plan. Most mid-sized organizations do not need a strategy engagement before a readiness assessment — readiness produces the operational foundation that makes any strategy executable.

    Do we need data scientists to act on the recommendations?

    No. The assessment is built for organizations of 10 to 500 users that do not have an internal data science team. Recommendations are framed in terms of Microsoft 365 admin actions, SharePoint cleanup, policy authoring, training rollout, and licensed-tool configuration. If a recommendation requires a specialist build, we flag it explicitly and can deliver it through the Comprehensive tier or a separate engagement.

    What if we already use ChatGPT, Claude, or Gemini today?

    That is the most common starting point. The assessment treats existing tools as in-scope and discovers shadow AI usage explicitly — which tools, who is using them, with what data. We then recommend whether to centralize on a tenant-grounded option (Microsoft 365 Copilot, ChatGPT Enterprise, Claude for Work), keep parallel approved tools, or block specific consumer endpoints.

    Will this work for a 25-person company?

    Yes. The Quick Scan tier was designed for organizations under 50 users that need a focused readiness pulse without a multi-week engagement. The output is the same five-pillar scorecard at a smaller scope: typically 5 to 7 stakeholder interviews, top-level SharePoint review, and a starter policy. Most Quick Scan engagements are completed in about a week.

    Is this just for Microsoft shops?

    No. The methodology is platform-agnostic. While the deepest tooling fit is with Microsoft 365 Copilot, Copilot Studio, Entra ID, Microsoft Purview, and Defender, the same five pillars apply to organizations on Google Workspace with Gemini, AWS with Bedrock, or stack-agnostic deployments using ChatGPT Enterprise or Claude for Work. We adapt the technical scan to your environment.

    How do you protect our data during the assessment?

    All findings stay in your environment or in OST’s ISO-27001-aligned client portal. We use read-only delegated access where possible, never extract bulk content, and document every system touched. A standard NDA covers the engagement, and any sensitive findings are shared via Microsoft Purview-protected documents rather than email. We can also operate under your existing MSA or BAA.

    What is the actual deliverable I get back?

    A board-ready scorecard (PDF and Word formats), a five-pillar gap report, a framework crosswalk against NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and your existing compliance program, a prioritized 90/180/365-day roadmap with effort estimates, and an acceptable-use policy starter document. Comprehensive engagements add a working pilot agent or automation, full ISO 42001-aligned policy set, and role-based training materials.



    Scope Your Engagement

    Tell Us About Your Environment

    A short intake. We will come back within one business day with a scoped proposal — tier recommendation, timeline, and price — plus the discovery-call link if you want to move fast.

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      Ready When You Are

      Find Out Where You Actually Stand on AI

      Tell us a bit about your environment and we will come back with a scoped readiness review: where the gaps are, what they would cost in a real deployment, and what an upgrade looks like. No pitch deck, no pressure.

      5
      Pillars Scored
      8
      Frameworks Mapped
      10–500
      User Range
      100%
      Remote U.S.