EP 01
April 2026
Rendered
Nearly half of AI agents fail to deliver what vendors promised. The demo-to-delivery gap is not an edge case — it is the pattern.
Agentic Claims
Pricing Exposure
Pilot Cap
Do
Before any AI contract this quarter, require a pilot log on your data and a token-cost model against real volume.
EP 02
In Development
The ROI Trap
69% of firms are using AI. Nine in ten say it has not moved their numbers yet.
Why Numbers Stall
What the 11% Do
The Purchase Gate
Do
Before approving the next AI tool purchase, require the requesting team to name the specific workflow step that disappears and the baseline metric that will confirm it — in writing, before sign-off.
EP 03
In Development
The Data Myth
7% of enterprises say their data is completely AI-ready — and yet production deployments are scaling.
Good Enough Threshold
Where the Work Lives
The Domain Audit
Do
Assign one person three hours before month-end to run the six-criterion data readiness check on one high-volume workflow — the one you already planned to deploy AI on first.
EP 04
In Development
Build vs. Buy
The average abandoned AI build costs $4.2M and 11 months before it is killed. The organizations that avoid that outcome are not building less — they are deciding differently.
Buy vs. Build Evidence
The Mid-Market Math
3-Question Gate
Do
Apply the three-question gate to the next AI initiative on your roadmap this week — and if it fails any of the three, redirect the budget to configuring what you already own.
EP 05
In Development
The Agent Hype Test
Every major vendor is selling autonomous agents. Gartner projects more than 40% of those projects will be canceled by end of next year.
The Production Gap
Why Agents Stall
The Escalation Test
Do
Before approving any agentic deployment, require the project owner to submit in writing: the specific trigger that escalates a decision to a human, and the specific condition that rolls the agent back — both defined before go-live.
EP 06
In Development
The Cyber Bill You Haven't Seen
Every AI tool your organization deploys adds attack surface. Shadow AI alone adds $670,000 to the average breach cost.
The Insider Expansion
The Attacker Advantage
The Tabletop Fix
Do
Add one AI-specific threat scenario to your next tabletop exercise: an unsanctioned agent connected to a production system is compromised — walk through detection, containment, and accountability before the exercise ends.
EP 07
In Development
Who Owns the AI?
70% of Fortune 500 companies have an AI risk committee. 14% are fully ready to deploy AI. The gap is not technology — it is ownership.
The Governance Theater Gap
What Ownership Predicts
The One Owner Rule
Do
Before the next board meeting, name one person who owns AI outcomes for a specific domain — with P&L accountability, authority to halt a failing initiative, and that responsibility written into their performance review.
EP 08
In Development
The Workforce Equation
AI skill requirements in job postings surged 109% last year. The wage premium for workers with those skills is 56%. That is not a training trend — it is a repricing of the workforce.
What the Data Shows
The Widening Gap
Pipeline Fix
Do
This quarter, add a one-sentence AI proficiency requirement to every open role's job description — specific to that function. Assign this to the hiring manager for each open req today.
EP 09
In Development
Vendor Lock-In Is a Strategy
AI platform prices are rising 20–37% at renewal — roughly four times standard SaaS inflation. 78% of IT leaders have already seen unexpected charges.
Four Lock-In Layers
The Real Exit Cost
Three Clauses
Do
Before signing any AI platform contract this quarter, require your GC to confirm three things are in the draft: a thirty-day data export SLA, a written annual price-increase cap, and a defined transition assistance window. If any of the three is missing, the contract goes back.
EP 10
In Development
What Your Board Should Be Asking
88% of organizations deploy AI in at least one function. 27% of boards have AI written into any oversight committee charter. The governance gap is not a future risk — it is a current exposure.
Why the Conversation Fails
Three Accountability Questions
Governance Cadence
Do
At your next board meeting, replace the standing AI update agenda item with three specific questions: which initiatives met our gate criteria, what do our top vendor contracts say about data portability, and how is AI proficiency tracked in performance management. Assign one board member to own each question before the meeting.
EP 11
In Development
The Mid-Market Advantage
Mid-market companies take 90 days to move an AI pilot to production. Fortune 500 companies take 12–18 months.
Speed Is Structural
Where the Edge Lives
The First-Mover Workflow
Do
Identify one workflow that your largest competitor cannot redesign because a legacy system owns it. Run the four-criteria checklist — high volume, clear metric, recoverable errors, documented process. If it passes, that is your first deployment target.
EP 12
In Development
The CFO's AI Question
56% of CEOs report zero financial return from AI — no revenue gain, no cost savings. Only 12% achieved both.
Why the Metrics Fail
What Actually Signals Value
The Template Fix
Do
Add one row to the next quarterly AI review template: the workflow cycle time for every active AI deployment, with baseline and current figures. Require that number before any AI program requests additional budget.
EP 13
In Development
The Governance Illusion
70% of large organizations have AI risk committees. 14% are operationally ready to deploy AI.
Theater vs. Governance
The Advisory Trap
The Stop Test
Do
Ask your AI committee to name the last initiative they stopped or materially changed. If they cannot answer within sixty seconds, schedule a board conversation to grant your governance lead pre-authorized pause authority before your next agentic deployment.
EP 14
In Development
AI in Finance: The Compliance Trap
Finance ranks last in AI deployment — behind engineering, marketing, sales, and operations.
The Compliance Paralysis
Where the Evidence Is Clear
The First Move
Do
Assign a finance manager to pull 90 days of AP invoice data this week — processing time, cost per invoice, error rate — and request demos from two AP automation vendors with that baseline in hand.
EP 15
In Development
The Legal Department Surprise
Harvard documented one case where AI cut an associate's complaint response from 16 hours to 4 minutes.
The Strategy Gap
The ROI Evidence
The First Task
Do
Before end of quarter, assign one attorney to run a thirty-day contract review AI pilot on one standard agreement type — NDAs are the lowest-risk starting point — using a tool like Harvey, Ironclad, or ContractPodAi.
EP 16
In Development
Healthcare's AI Moment
Physicians spend one hour on documentation for every five hours of patient care.
Where the Evidence Is Real
The HIPAA Misconception
The Administrative Door
Do
This week, identify one administrative workflow — scheduling, prior authorization drafting, or revenue cycle coding — that handles no direct patient-facing clinical decisions, and request a vendor demo scoped to that workflow only.
EP 17
In Development
Supply Chain's AI Blind Spot
Supply chain has the most structured data in any enterprise. Only 23% have a formal AI strategy for it.
Why Adoption Lags
What Early Movers Do
The Baseline First
Do
Identify your highest-volume demand forecasting workflow. Pull the current forecast error rate for the last twelve months and document it in writing before any AI vendor conversation begins.
EP 18
In Development
The Customer Experience Arbitrage
AI-enabled customer service teams resolve tickets 76% faster — at a cost drop from $4.60 to $1.45 per interaction.
Where the ROI Lives
Winners vs. Reversals
Today's Action
Do
Pull your contact center's top five inquiry types by volume. Identify which one has a fully documented resolution path today. That is the first workflow to hand to AI — with the others following only after the knowledge base for each is ready.
EP 19
In Development
The Ethics Question Executives Are Ignoring
Governance readiness has fallen to 30% — even as AI deployments accelerate. Organizations are governing less as they deploy more.
The Real Risk
The Litigation Signal
One Checkpoint
Do
Add one AI ethics review checkpoint to your current project approval process — specifically at the use-case definition stage, before any model or vendor is selected. The question to answer in writing: what is the population this AI touches, and what is the failure mode if the output is wrong or biased?
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