Posts Tagged ‘CIOs and IT leaders’
For technology leaders: AI and software purchases, and whether they delivered after go-live.
In the book: Chapter 3: Value Drift (2) · Chapter 5: Advisory Is Not Enough (1) · Chapter 6: Tech Bloat as Governance Failure (1) · Chapter 7: Value Is Not Promised; It Is Proven (6) · Chapter 8: The Buyer Lifecycle Is Progressive Governance (1) · Chapter 9: The Value Control Loop (4) · Chapter 10: The Buyer Governance Pyramid (1) · Chapter 12: Compounded Value (2) · Chapter 13: The AI Amplifier (1) · Chapter 14: Who Controls Value Engagement? (3) · Chapter 15: The Value Lattice System (1) · Chapter 17: VIGOR: Governance and Realization (2) · Chapter 19: Preemptive Value Architecture (2) · Chapter 20: The Buyer Value Practice (3) · Chapter 21: Decision Artifacts That Govern Outcomes (2) · Chapter 22: Embedding Buyer Governance (2)
Ontario’s AI Note-Taker Accuracy Fixes Start at the Next Purchase
Ontario’s auditor found errors in notes from all 20 approved AI note-taking systems it reviewed for doctors. The accuracy fixes that followed apply to future purchases; current contracts gained an annual security report.
Read MoreWhen a Purchase Disappoints, the Original Claims Are Missing
When a purchase disappoints, the standard advice is to return to what was promised before the commitment. It only works if someone wrote those promises down in a place the review can find.
Read MoreWhen Vendors Measure the Value You Get, Keep Your Own Record
Vendors and their partners are building funded programs to define and measure the value their customers get. That is real progress, and it makes the buyer’s own record more important.
Read MoreA Post-Implementation Review That Never Asked If the System Worked
An Australian agency’s plan called for a post-implementation review. The workshop it held after launch identified four priority actions, each about how projects are run. None concerned what the new system was bought to do.
Read MoreWhy AI Success-Story Collections Can’t Prove ROI for You
Collections of AI success stories are good for ideas, but the numbers in them were almost always written by someone other than the buyer who lived with the result.
Read MoreAI Token Pricing: The Seller Sets Both the Price and the Quantity
The list price of the leading model fell by about a fifth while it spends roughly three times the median number of tokens to finish the same work, and only one of those numbers was in the announcement.
Read MoreNinety Days to Prove AI Value
An analyst firm has put a deadline on proof, and nothing in the advice says where the claim being tested comes from or whose words it is written in.
Read MoreA Shortfall in Year One Costs More Than One Year of Value
A value shortfall is booked as a one-time variance. Because value compounds, an ungoverned year removes the base the next years would build on, and only a multi-year record of realized value shows the loss.
Read MoreLaunching an AI Model Proves Little Until the Results Show Up
Getting a model into production is a milestone the deploying team awards itself. A capability is demonstrated at the point of outcome, and in Domino’s 2026 survey the organizations that built governance first were also the ones delivering faster.
Read MoreWhy Externally Tested Credentials Hold Their Value
Across 37.7 million US resumes, credentials that someone outside tests and renews keep adding wage value, while badges stop paying after the first. Most enterprises build capability the badge way, by adding.
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