For CIOs, CTOs and enterprise architects
The six jobs that decide your enterprise’s technology future
Each job page sets out the decisions, what practitioners learned doing the job, and the guides, blueprints and apps that get it done.
- Job 01
Decide where AI goes in the business
The board wants an AI plan, and every function wants to go first.
You leave with- A ranked list of the work AI should take on first
- For each use, how much the AI does alone and where a person signs off
- The platforms and vendors worth a shortlist
- Job 02
Govern the AI already in use
Staff already use AI tools nobody approved, and most SaaS products now ship AI features by default.
You leave with- An inventory of the AI already running
- An acceptable use policy and risk tiers
- A review that new AI passes before it goes live
- Job 03
Choose and buy technology
Every vendor now sells AI features, and each contract runs for years.
You leave with- A shortlist built from vendors compared side by side
- The questions to ask before you sign
- Each vendor's own answer on who it is not right for
- Job 04
Control technology spend
AI is billed per use, so its cost grows with adoption while the rest of the budget is under review.
You leave with- Cost models that compare options over several years
- The steps others took to cut cloud and SaaS spend
- Market figures that put your budget in context
- Job 05
Modernize the estate
AI agents need clean data and systems they can call, and old systems block both.
You leave with- A map of the business to plan changes against
- The steps and pitfalls of each migration or exit
- Which systems to retire, replace or keep
- Job 06
Secure and comply
AI agents act on systems with their own identities, and auditors and boards ask about them.
You leave with- The work plan for SOC 2, CMMC, ISO 27001 or NIS2
- A board report on cyber risk
- The security products worth a shortlist