See what “looks right” hides
- Apply the Four Questions
- Inspect three plausible AI outputs
- Classify Ship, Check or Own
- Choose a real workplace artefact
Live online · Cohort 01 · 15 seats
AI Verification for Delivery Leaders.
Learn how to spot unsupported claims, scope drift and false completion before AI-assisted work reaches customers or leadership.
10 & 17 OctoberTwo Saturdays4 hours liveRecordings included$200First cohort
· English
AI STATUS DRAFTREVIEW
Delivery is on track for September.
The team completed all committed scope and eliminated the principal dependency risk.
Cycle time improved by 18%.Source not provided
SHIPCHECKOWN
Verification required before this travels.The outcome
Leave with a repeatable operating habit.
You will not leave with a list of prompts. You will leave able to decide what deserves verification and explain why.
01
Frame the work
Define Ask, Done, Guardrail and Edge before trusting the result.
02
Inspect the output
Test evidence, scope, assumptions, context and consequences.
03
Choose the level
Decide whether to Ship, Check or Own the work.
04
Document the catch
Show the material issue and the check that exposed it.
Who it is for
For people whose AI-assisted work travels.
Good fit
- Engineering and delivery leaders
- Product managers and product leaders
- Program and transformation leaders
- People reviewing AI-generated work from others
- Teams making commitments from AI-assisted analysis
Not designed for
- Tool tours or prompt libraries
- AI engineering or model development
- Attendance-only certification
- People without a real work artefact to examine
Two live labs
Learn it. Use it at work. Bring the catch back.
Use the method at work
- Review one real AI-assisted task
- Capture evidence and assumptions
- Document one potential catch
Defend the decision
- Review participant catches
- Strengthen weak checks
- Separate verification from ownership
- Complete one Verified Catch
Vinod Narayanswamy · Founder, Medhova
Your facilitator
Built from delivery work where wrong output has consequences.
Vinod’s work focuses on delivery judgment, evidence and accountability. This workshop uses realistic work artefacts and small-group review—not tool demonstrations or generic case studies.
Founder-led15 participants maximumReal work over simulations
Cohort 01
Join the October workshop.
10 & 17 October 2026 · 7:30–9:30 PM IST · 2:00–4:00 PM UTC · $200 · 15 seats.
- Two live two-hour labs
- Working templates and course materials
- Recordings for registered participants
- Small-group review of real work
- Verified Catch assessment opportunity
Teaching language: English. See the refund and transfer policy.
Before you join
Frequently asked questions.
Do I need technical AI experience?
No. You should already use or review AI-assisted work, but no coding or model-building experience is required.
Are recordings included?
Yes, recordings are included for registered participants. Live participation is recommended because the course depends on discussion and applied review.
What is a Verified Catch?
A documented material issue in AI-assisted work, plus the check that exposed it. It demonstrates applied judgment; it is not an industry accreditation.
What happens after I request a seat?
Medhova confirms availability, payment instructions and preparation details by email. Your place is confirmed after payment.