Executive AI Diagnostic

AI readiness assessment, built to ship.

The Executive AI Diagnostic shows leadership where AI can create measurable operating leverage, what should be governed first, and what it will take to move from idea to production.

Definition

What is an AI readiness assessment?

An AI readiness assessment is a structured review of whether an organization is ready to put AI into real work. It checks strategy and sponsorship, workflow economics, data, systems, security and governance, and team capacity, then ranks the use cases worth building first and names what has to change before they ship.

It is the first step of AI strategy consulting done properly: strategy grounded in the workflows, data and controls you actually have.

A grid of workflow tiles scanned and graded by brightness, with the top-ranked tile linked by a lit path to a doorway representing production
Readiness checklist

A score, then silence

  • A maturity score with no next step
  • Use cases listed, never ranked by value or risk
  • Data and security reviewed after the build starts
  • The report ends where the work begins
Executive AI Diagnostic

A ranked plan to production

  • Readiness scored against named workflows
  • A ranked AI opportunity map
  • Governance and risk reviewed before any build
  • A recommended production path

What we assess

Six questions that decide whether AI ships.

Each one is scored against the workflows you name, so the findings point at real work instead of a generic maturity curve.

Strategy and sponsorship

Whether AI is tied to an operating goal and a business owner who will sponsor the first workflow.

Workflow economics

Where AI changes cost, speed, quality or capacity, measured on the workflows you run today.

Data readiness

Whether the data each workflow needs is accessible, current and allowed to be used, and where it lives.

Systems and integrations

The CRM, files, project tools, knowledge bases and internal APIs an agent would have to work inside.

Security and governance

What must stay human, auditable, private or policy-bound, and which deployment boundary the work needs.

People and operating rhythm

Who will own, review and improve the workflow after launch, and how your team will work alongside it.

Review the Archon Agents security model →

How Archon Agents does it

The assessment is the start, not the deliverable.

Most AI consulting stops at strategy. We build the production system, govern it, and stay to operate it.

01

Strategy

The Executive AI Diagnostic: executive alignment, a workflow and data readiness review, and a prioritized AI opportunity map.

02

Production

The top-ranked workflow moves into a Production Deployment, built and launched against real business data with approvals in place.

03

Operate

We stay to run and expand it with your team, using the readiness findings as the plan for the next workflows.

Governed agent architecture dashboard with enterprise controls
Governed production path

What you leave with

A board-ready value map and a path to production.

The Executive AI Diagnostic is fixed-scope advisory for leadership teams that need a value map before committing to build. Every recommendation is model agnostic and sized for the deployment boundary your data requires.

Executive alignment workshopWorkflow and data readiness reviewPrioritized AI opportunity mapGovernance and risk briefRecommended production path

See the Executive AI Diagnostic on the pricing page →

Why we recommend model-agnostic AI →

See what runs after launch: Archon Workforce →

AI readiness findings and operating dashboards
Prioritized AI opportunity map

FAQ

AI readiness and strategy questions.

What is an AI readiness assessment?+
An AI readiness assessment is a structured review of whether an organization can put AI into real work. It examines strategy, workflow economics, data, systems, security, governance and team capacity, then ranks the use cases worth building first and lists what must change before they reach production.
How do consultants assess AI readiness in a business?+
Consultants start with leadership goals, then review the workflows where AI could help: their economics, the data and systems behind them, and the security and approval rules they must follow. The result is a ranked opportunity map and a recommended path to production, not just a maturity score.
How do you assess workforce AI readiness?+
Look at who will own each AI workflow, who reviews and approves its output, and how much process context the team can share. Readiness is high when a business owner sponsors the workflow, the team knows where human judgment is required, and there is time to operate the system after launch.
Which companies offer AI readiness assessment services?+
Large consulting firms, accounting and advisory firms, technology integrators and specialist AI firms all offer AI readiness assessments. Compare them on what happens next: whether the assessment ends in a ranked plan the same firm can build, govern and operate, or in a report your team has to act on alone.
How do you choose an AI strategy consulting partner?+
Choose an AI strategy consulting partner that ships production systems, not slide decks. Ask whether the strategy is tied to named workflows, whether governance is designed before any build, whether the architecture is model agnostic, and whether the partner will operate what it recommends.
How much does an AI readiness assessment cost?+
The Archon Agents AI readiness assessment is the Executive AI Diagnostic, a fixed-scope advisory engagement. Its planning range is published on the AI consulting pricing page, and scope is agreed before any work begins. Cost depends on how many workflows, systems and teams the assessment covers.

Start with the diagnostic

Know what to build first.

Bring the workflows leadership cares about and the systems behind them. We will scope a diagnostic that ends in a ranked plan and a production path.