AI Enablement in Organizations · Episode 2

Pilot Purgatory Diagnostic

A one-hour assessment for leadership teams. Surfaces which failure mode is operating in each active AI initiative — and what to do about it.

Team: AI Steering Committee
Completed: May 2026
Initiatives reviewed: 5
Time taken: 55 min
1
Portfolio Inventory
List every active AI initiative — name, owner, stage
Instruction: Write down every active AI initiative. Include anything in evaluation, pilot, approval, or stalled. Writing this down often reveals something immediately — the portfolio is more fragmented than leadership realized.
Initiative Department Owner Stage Time at current stage
Contract Review Assistant Legal Operations Sarah M. Piloting 3 months
Meeting Summarization Tool HR / All-org IT Digital Team Evaluating vendors 1 month
Customer Inquiry Classifier Customer Service CX Transformation Stalled post-pilot 14 months
Code Review Assistant Software Engineering DevOps Lead Active · scaling 6 months
Procurement Risk Scoring Finance / Procurement AI CoE Proposed Just started
Observation: Customer Inquiry Classifier has been stalled for 14 months with no clear path to resolution. Two separate initiatives (Meeting Summarization + Code Review Assistant) are progressing in parallel without any coordination or shared learnings.
2
Failure Mode Assessment
8 questions per initiative across three dimensions
Instruction: For each initiative, answer 8 questions across three dimensions: Technology, Integration, and People & Organization. The goal is not a score — it is to surface where the real constraint sits.
Customer Inquiry Classifier
CX Transformation · Stalled post-pilot · 14 months
Needs attention
Technology
Does this capability exist in commercially available tools today?
Yes
Did the pilot output meet your minimum accuracy threshold for production use?
Yes — 91%
Integration
Does the tool fit into the workflow where the agent actually makes decisions (not a separate step)?
Partially
Have you observed real agents using the tool in their actual workflow, not a demo?
Yes
Is time-to-output under 30 seconds from the point of need?
Yes
People & Organization
Is there a named person responsible for driving adoption — not just the technical owner?
No
Did the agents who will use this tool have meaningful input in designing how it works?
No
Is the executive sponsor still actively engaged and accountable for scaling outcomes?
No — sponsor moved roles
Technology
2 / 2
Integration
2.5 / 3
People & Org
0 / 3
Primary failure mode
People & Organization
Contract Review Assistant
Legal Operations · Piloting · 3 months
Monitor
Technology
Does this capability exist in commercially available tools today?
Yes
Did the pilot output meet your minimum accuracy threshold?
Partially — 84%, target 90%
Integration
Does the tool fit into the workflow at the point of decision?
Yes
Have you observed real users working with the tool in their actual workflow?
Yes
Is time-to-output under 30 seconds from point of need?
Yes
People & Organization
Is there a named person responsible for driving adoption?
Yes — Sarah M.
Did the lawyers using this tool have input in designing it?
Yes
Is the executive sponsor still actively engaged?
Yes
Technology
1.5 / 2
Integration
3 / 3
People & Org
3 / 3
Primary failure mode
Technology (minor)

Repeat this assessment for each initiative in the portfolio inventory. Remaining 3 initiatives not shown.

3
Governance Gap Audit
What employees can do with AI personally that they cannot do officially
Instruction: List five things employees in your organization can do with AI personally today that they cannot do through official, company-approved channels. For each, estimate how long the standard approval process would take. This is not an indictment — it is a benchmark.
Governance speed benchmark
Average approval time across these 5 items: 7.6 months. Major model capability releases are now occurring every 2–4 months. At current governance velocity, approvals for today's tools will complete when those tools are already two generations old.
4
The Output
One initiative to examine differently. One governance process to accelerate.
Instruction: Based on sections 1–3, identify the single highest-value action in each category. This is enough to make the next steering meeting a different kind of conversation.
Initiative to re-examine
Customer Inquiry Classifier
Technology works (91% accuracy). Integration is mostly solved. All three People & Org questions failed: no adoption owner, no user input in design, no active sponsor. This is not a technology problem — it never was. Fourteen months of waiting for a technical fix that was never the constraint.
Proposed next step: Assign a named adoption owner with a clear mandate. Run a two-hour co-design session with three frontline agents before any further technical work.
Governance process to accelerate
Meeting Summarization Approval
Current estimated approval time: 8 months. Employees are already using Otter.ai and ChatGPT for this — creating exactly the data governance exposure the approval process is designed to prevent. The slow process is not making the organization safer; it is pushing the risk into unmonitored personal channels.
Proposed next step: Fast-track a 90-day pilot with an approved vendor under a data processing agreement. Target: approved tool in production before employees find three more workarounds.