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The starting point

Decide what one AI workflow is worth before you build it.

A fixed-scope decision package for one high-friction workflow - before anyone buys another tool or starts another pilot.

The question it answers

Should this workflow be built, bought, configured, simplified, or left alone?

The diagnostic is a decision package, not a free assessment and not a disguised sales proposal. It makes the current economics visible, tests the AI case against the data and operating reality, and defines the controls required for a responsible launch.

01Frame

Name the workflow and the executive decision

Confirm the sponsor, workflow owner, current pressure, implementation boundary, and the decision the diagnostic must support.

02Baseline

Map the current process and its economics

Document volume, labor, cycle time, rework, errors, escalations, customer impact, data, systems, and exceptions.

03Decide

Evaluate value, feasibility, and risk

Score the use case and determine whether to build, buy, configure, simplify, or stop before more capital is committed.

04Readout

Deliver the control model and implementation path

Present the ROI model, human controls, accountability plan, and a six-week path to controlled production when warranted.

Executive deliverable

AI Workflow Value Diagnostic

Current-state workflow and exception map

Baseline economics and measurable success criteria

Use-case, data, integration, and risk scorecard

Build, buy, configure, or simplify recommendation

Human controls, evaluation, logging, and accountability plan

Executive ROI model and six-week implementation plan

Strong buying triggers

The decision matters now.

A stalled AI pilot or a collection of tools with no measurable result

Board pressure to show operating value or reduce cost

Rapid support, onboarding, implementation, or service-delivery hiring

A recent acquisition, private-equity investment, or new operating executive

A CRM, service-management, data-platform, or cloud transformation

Operating fit

A team exists to own what comes next.

B2B software or technology-enabled services

Approximately 75-750 employees and $10M-$150M in revenue

Founder-led, private-equity-backed, or recently acquired

An existing product, IT, data, engineering, or operations team

AI activity exists, but no single delivery owner owns the result

Capacity to invest at least $25,000 in a successful initiative

If the case clears

AI Value-to-Production Sprint

$30,000-$45,000

Approximately 6 weeks

The diagnostic does not obligate an implementation.

The recommendation can be taken in-house or used to guide a vendor decision. When a Tier9AI sprint is the right path, the diagnostic terms define the available credit and the sprint begins with an already-agreed baseline, control model, and implementation plan.

Review the engagement path

Fit before analysis

Use the fit call to determine whether the workflow warrants a paid diagnostic.