“Customer adoption increased 18%.”
No source or underlying data was supplied.
CHECK · EVIDENCE
Live training for working leaders
Don’t just generate with AI. Know what you can trust.
Learn a practical method for checking AI-generated reports, requirements, analysis and decisions before they reach customers or leadership.
For engineering, product and delivery leaders using AI in consequential work.
10 & 17 October 2026Two live online labs
4 hours totalRecordings included
$200 · 15 seatsFounder-led cohort
7:30–9:30 PM IST · 2:00–4:00 PM UTC · English
AI-assisted delivery reviewLeadership update
STATUS UPDATE
AI DRAFTQ3 delivery performance
Q3 delivery improved significantly across the programme.
42 stories completed against 38 committed.Source not provided
Team throughput remained stable across the quarter.
Cycle time improved 18% quarter on quarter.Not present in source material
If this is wrong and I miss it, what breaks?
2 unsupported claimsVerify before this update travels.
What you learn to catch
Polished AI output can still be wrong.
The course turns vague “human review” into three concrete decisions: what you can ship, what you must check and what a human must own.
“We will launch in September.”
The source only said “targeting September.” Intent became commitment.
CHECK · GUARDRAIL
“The feature is delivered.”
Implementation is complete, but acceptance testing is still open.
OWN · DEFINITION OF DONE
The Medhova method
Four questions. One clear decision.
Use Ask, Done, Guardrail and Edge to expose risk before someone depends on the answer.
Ship · low consequenceCheck · verify independentlyOwn · human accountable
Ask
What exactly is AI being asked to do?
Done
What does a good answer look like?
Guardrail
What must the output not do?
Edge
If it is wrong, what breaks?
The live workshop
Bring real work. Leave with a repeatable review habit.
01 · Bring
A real AI-assisted artefact
A status update, requirement, analysis or executive summary.
02 · Inspect
Find the hidden failure
Test evidence, scope, assumptions, context and consequences.
03 · Decide
Ship, check or own
Choose the verification level and explain why it is appropriate.
Cohort 01 · 15 seats
View workshop detailsAI Verification for Delivery Leaders
Two live labs · 10 & 17 October · $200
Vinod Narayanswamy · Founder, Medhova
Founder-led, deliberately
Built from delivery work where wrong output has consequences.
Vinod teaches leaders to bring evidence, boundaries and accountability back into AI-assisted work. Medhova is focused on practice—not tool demonstrations, prompt tricks or attendance-only credentials.
Real work over simulationsEvidence over theatreSmall cohorts over scale
Not ready for the paid cohort?
See the problem before you pay to solve it.
Join a free 60-minute live teardown on 26 September. No tool tour. No sales webinar.