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Assessments

Independent analysis to assess AI readiness and support decisions about technology investments.

Situations

Your organization is considering where to invest in agentic AI, and leadership needs a grounded view of the opportunities, requirements, and risks before committing resources.

A technology initiative, portfolio, or vendor decision is already underway, but its current state or best path forward remains unclear.

You need an independent assessment of whether your governance, security, compliance, technical foundation, or operating model is ready for what comes next.

What we assess

Our focus is agentic AI in healthcare. In addition to agentic AI, we assess technology strategy, governance, platforms, vendors, and delivery in healthcare and other regulated environments.

Agentic AI direction and readiness
We help leadership determine where agentic AI is worth pursuing and what the organization needs to support it. This can include organizational readiness, use-case selection, investment priorities, data and integration requirements, and the health of existing pilots or production initiatives.
Governance, risk, and controls
We assess how an organization governs agentic AI and other consequential technology initiatives. We examine accountability, human oversight, data use, security, compliance, evaluation, monitoring, and the connection between organizational policies and technical controls.
Technology initiatives and portfolios
We provide an independent view of initiatives that are difficult to evaluate from inside the organization. We examine strategic alignment, architecture, delivery capacity, operational readiness, dependencies, investment requirements, and whether existing commitments still make sense.
Products, platforms, vendors, and sourcing decisions
We help organizations evaluate products, platforms, and vendors or decide whether to build, buy, or work with a partner. For health techs, we assess product and market readiness for enterprise healthcare customers. We define the criteria with your team, examine technical and operational fit, identify material tradeoffs, and document the basis for the recommendation.

Outcomes we drive

  • An evidence-based view of the current state, including the scope of the assessment, the materials reviewed, the people consulted, and any important assumptions or limitations.
  • Prioritized findings and recommendations, with the supporting rationale, risks, tradeoffs, and dependencies made clear.
  • Analysis suited to the decision, such as a readiness assessment, current-state review, risk and gap analysis, portfolio evaluation, or comparative scorecard.
  • A leadership readout, with time to examine the findings, challenge the reasoning, and determine the next course of action.

Engagement process

Define the decision

We begin by agreeing on the decision the assessment needs to support and setting a clear boundary around what will be evaluated. We identify the relevant stakeholders, evidence, constraints, and decision criteria before the analysis begins.

Gather and analyze evidence

We review relevant documentation and prior work, then interview the people closest to the question. Depending on the scope, we may also examine technical artifacts, map controls and requirements, assess an initiative against agreed criteria, or compare platforms and vendors.

Deliver findings and recommendations

We synthesize the evidence into a written assessment and review it with your leadership team. The report distinguishes findings from assumptions, explains the reasoning behind each recommendation, and identifies practical next steps.

Frequently asked questions

Are assessments limited to agentic AI?
How long does an assessment take?
What will you need from our team?
Who conducts the assessment?
How does your AWS partnership affect an assessment?
What is outside the assessment?

Know what the evidence supports before you commit