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Feasibility and business cases

What an AI feasibility assessment should include

What leaders should examine before funding implementation, from workflow stability and source ownership to risk, workforce readiness, and value evidence.

By Andrew Hughes | Published July 16, 2026 | Updated August 28, 2026 | 4 min read

Conceptual illustration of operating evidence converging at a decision gate before branching into next actions
Feasibility is decision workOperating feasibilityInformation and technical feasibilityGovernance and failure designWhat useful decision work leaves behindValue evidence and the recommendationUse the assessment to define implementation scope

Feasibility is decision work

A useful assessment helps leadership decide whether to proceed, remediate, revise, delay, or stop. It is not a disguised presales demo.

The output should make assumptions visible, separate evidence from inference, and show what still has to be learned.

Operating feasibility

The workflow needs a meaningful problem, accountable owner, identifiable users, understandable exceptions, and enough stability to evaluate change.

  • Business problem and operating consequence
  • Current workflow and role clarity
  • Volume, variation, delay, and failure modes
  • Human judgment and escalation
  • Workforce readiness and manager support

Turn the idea into a bounded decision

Review the operating problem behind this perspective.

Discuss This Operating Problem

Information and technical feasibility

The assessment should identify authoritative sources, gaps, sensitivity, access constraints, integration requirements, and the expected quality of the inputs.

A prototype using convenient sample data does not establish that the production workflow is technically or operationally feasible.

Governance and failure design

Leaders should understand prohibited uses, human approval, output verification, exception handling, monitoring, logging, retention, vendor boundaries, and continuity before committing to implementation.

The controls should be proportionate to the workflow and information instead of being copied from a generic checklist.

What useful decision work leaves behind

An assessment should produce a record leadership can use even if the recommendation is not to implement. It should show the operating facts, evidence gaps, risks, prerequisites, and the next decision in plain language.

  • Prioritized use case and business consequence
  • Current-state workflow findings and baseline
  • Source, system, workforce, and control prerequisites
  • Target workflow concept and human responsibility model
  • Evidence gaps and implementation assumptions
  • Go, revise, remediate, delay, or stop recommendation

Value evidence and the recommendation

A credible business case starts with a baseline and states how the change could affect time, quality, cost, capacity, risk, or revenue. It also includes implementation and operating cost.

The recommendation should name the preferred path, conditions for success, unresolved risks, a bounded next step, and the evidence leadership will require at the next decision gate.

Use the assessment to define implementation scope

The assessment should identify which workflow, integration, knowledge, governance, workforce, and measurement responsibilities belong in a bounded implementation. Buyers can then compare AI implementation services against a shared operating requirement rather than comparing disconnected feature lists.

Apply the perspective

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Andrew Hughes

Andrew brings more than two decades of experience analyzing organizational performance, implementing technology-enabled systems, developing workforce capability, and helping organizations change how work is performed.

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