“How many AI initiatives do we actually have?”
Most organisations cannot answer this within a day. MetroMinds collects every initiative in one portfolio with an owner, a status and a business problem.
See how portfolios workFor CIOs
All the AI in your organisation, in one portfolio you can govern.
AI no longer arrives through IT alone. It comes in through business teams, vendor updates and pilots nobody registered. MetroMinds brings every initiative into one portfolio, shows where AI already runs in your applications and gives you the evidence to decide what scales.
The questions that land on your desk
“Which of our systems already use AI?”
AI now ships inside the software you buy. The MetroMinds portfolio analysis identifies where AI runs in your applications, including features added by vendor updates.
See the AI register“Are we ready for the EU AI Act?”
You can only classify AI you know about. The MetroMinds AI register records purpose, role, risk category, oversight and owner for every AI system.
Run the EU AI Act checkWhat MetroMinds shows you
One portfolio instead of scattered pilots
Every initiative gets the same structure: business problem, owner, status and value. Contributors submit, portfolio managers decide and customer admins manage access.
- Statuses from candidate to in execution
- Reasons required when a use case is rejected or put on hold
- Portfolio managers sign in with multi-factor authentication
Use cases cannot be rejected or put on hold without a written reason, so a year later everyone can still see why a choice was made.
See how portfolios workFind the AI you already run
The portfolio analysis goes through your applications and flags where AI is used, including AI that arrived with a vendor release. Every finding lands in the AI register with an owner.
- AI features inside vendor software
- Purpose and role as provider or deployer
- Annex III area and risk category
Each entry records what the EU AI Act asks you to know: purpose, your role as provider or deployer, risk category, human oversight, logs and owner.
See the AI register
GovernanceAI registerDemo environmentAI register
AI systems in use
4 of 8 systems shown
| AI system | Application | Vendor | Purpose | Role | Annex III area | Owner | Status |
|---|---|---|---|---|---|---|---|
| Credit decline reason codes | LoanDesk Origination | Fenwick Systems | Explain credit declines to applicants | Deployer | Creditworthiness | Head of Credit Risk | In review |
| Candidate ranking in HR suite | TalentFlow Recruit | Orvia Software | Rank applicants for open vacancies | Deployer | Employment | HR Director | Approved |
| Mortgage affordability pre-check | HomeLend Portal | In-house | Pre-assess affordability before a mortgage offer | Provider | Creditworthiness | Head of Mortgages | Draft |
| Shift allocation assistant | WorkPlan Scheduler | Orvia Software | Allocate contact centre shifts and tasks | Deployer | Employment | Head of Customer Operations | In review |
Know what to watch after go-live
Readiness is measured per portfolio, not as one maturity label. You see where monitoring, observability and safety controls fall short of what your use cases need.
- Runtime observability conditions per use case
- Portfolio demand compared with organisation readiness
- An ordered list of capabilities to improve
Open a dimension such as Runtime Observability and see which conditions are met and which are still missing.
See AI readiness
Explore the AI use cases CIOs govern
The Library holds 480 use cases about governing AI itself: monitoring, drift detection, guardrails, auditability and evaluation. Pick your industry and see three of them, with benchmark ranges.
Seven articles, in the order we would read them
- 8 min read
Why Your Teams Are Using AI Faster Than You Can Govern It
Shadow AI is a demand signal as much as a risk. Library data shows where AI ideas and risk really sit, and how to move from gatekeeping to a portfolio intake.
- 7 min read
Why Your AI Portfolio Is Mostly an Operations Portfolio
Half of all AI use cases concern operations and supply chain. What that means for AI portfolio management, and why the CIO's role grows with it.
- 7 min read
Where AI Strategy Loses Money: the Gap With Enterprise Architecture
AI ideas cluster on a small part of the capability map. When architecture joins too late, organisations pay for the same integrations and data several times.
- 11 min read
Does This Use Case Really Need an AI Agent?
Agentic AI promises the same value as other AI but is harder to deliver and riskier. Four questions, based on 600 agentic use cases, tell you when an agent is worth it.
- 7 min read
Who Checks Your AI After It Goes Live?
Go-live is where AI risk changes shape. Library data shows which kinds of AI are hardest to observe, and what a practical monitoring routine looks like.
- 8 min read
Why EU AI Act Compliance Starts With Finding Your AI
You cannot classify or govern AI you have not found. One in fifteen Library use cases touches a high-risk area, and most of them sit outside HR and IT.
- 8 min read
What the EU AI Act Asks of You Once Your AI Register Is Ready
An AI register shows what you have. The EU AI Act deployer obligations are about how you run it: oversight, logs, monitoring, impact assessments and informing people.
See your AI portfolio and register in 30 minutes
We walk through a demo portfolio, the AI register and the readiness view, and show how your own applications would be analysed.