AI Strategy for the CIO
A ~36-minute brief for CIOs balancing AI inside a real technology portfolio — infra, build vs buy, talent, risk, board reporting. Voice: Andrew.
8
Chapters
~36 min
Duration
Advanced
Level
No
Certification
Who this is for
For CIOs, deputy CIOs, heads of enterprise architecture, and senior IT leaders accountable for AI alongside ERP modernization, cloud migration, cybersecurity, and run-the-bank operations.
How this course works
- 8 audio-narrated slide chapters · ~36 min of focused content
- Narrated by Andrew (Azure neural voice)
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- AI as one workload in the run-grow-transform portfolio, not bolted on — and the three portfolio failures from treating AI as a side program
- Five-criterion infrastructure test across hyperscaler, sovereign, on-prem, and hybrid — with regional forcing factors that override
- Build vs buy vs compose with three concrete criteria — and the "buy that turned into build" pattern spotted via the consulting-to-license ratio
- Talent strategy differentiated per capability bucket — and the SI dependency trap with the knowledge-transfer contractual fix
- Four operational risks unique to AI and BCDR including vendor outage failover plus graceful degradation that's actually tested
- A three-metric board reporting structure that holds AI alongside ERP, cloud, and security with the same calibration
- A four-rhythm operating cadence with three cross-functional partners (CDO, CISO, CFO) and a delegation framework that prevents CIO-as-bottleneck
- A one-page CIO AI portfolio statement + 4 trust trip-wires + interactive portfolio builder
Course content
8 chapters · ~36 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
AI's place in the CIO portfolio
AI inside run-grow-transform · 3 portfolio failures from treating AI as side program · honest allocation.
Infrastructure decisions
4 infra options (hyperscaler · sovereign · on-prem · hybrid) · 5-criterion test · regional forcing factors.
Build vs buy in AI
3 options (buy · build · compose) · 3 criteria · buy-turned-build pattern.
Talent strategy
4 capability buckets · 3 talent models (insource · partner · rotate) · SI dependency trap.
Risk and operational considerations
4 ops risks unique to AI · BCDR for AI services · 3 operational disciplines (cost throttle · vendor health · graceful degradation).
Reporting AI to CEO and board
The reporting trap · 3-metric structure · holding AI alongside the rest of IT honestly.
CIO operating cadence
4 rhythms (weekly · monthly · quarterly · annual) · 3 cross-functional partners (CDO · CISO · CFO) · delegation framework.
Capstone — CIO AI portfolio statement
5-section one-page statement · 4 trust trip-wires · interactive portfolio builder.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.