Technology, data and AI. Chief Information Officer
AI for the CIO Office
Every team is buying its own AI. You’ll be asked to run all of it.
The business wants AI everywhere, now. The board wants it safe and the CFO wants IT cost down. Meanwhile the service desk queue grows and legacy systems absorb the budget. We map the CIO Office the way your estate actually runs, then put agents where they cut run cost and give the company one platform it can trust.
The short answer
It helps you run a reliable estate at lower cost and give the company one safe platform for AI. Agents resolve routine service desk tickets, triage incidents, track licence and cloud use, connect AI to ERP and core systems and keep a live register of every agent in the company.
Your team keeps the architecture, the standards and the hard problems. The agents take the volume, so IT can say yes to the business without losing control.
The mandate
Keep everything running, secure and affordable. And give the company one platform it can build AI on.
What the board measures you on
Availability
And major incidents
IT cost
As a share of revenue
Projects on time
And on budget
Technical debt
And legacy run cost
User satisfaction
With IT services
AI adoption
Safely, at scale
The canvas of the CIO Office
Most AI for IT is a chatbot on the service desk. The bigger value sits in run cost, integration and the control of every agent the business builds.
Canvas 1
What you run
The estate the business runs on.
Enterprise applications
ERP, CRM, HCM and the systems the business runs on.
Infrastructure and cloud
Data centres, cloud, networks and devices.
Data and integration
Data platforms, APIs and integration middleware.
Service desk
IT support for every employee.
The AI platform
Where agents are built, run and controlled.
Canvas 2
What you answer for
The things the CEO, the CFO and the board hold you to.
Architecture and standards
The choices every team builds on, including the platform for agents.
Technology vendors and licences
Contracts, renewals and real use across the estate.
Shadow IT and shadow AI
Tools business units buy outside IT.
Resilience
Recovery from outages and cyber incidents, with the CISO.
Where value leaks
Most of them don’t look like failures. They look like a growing queue, a renewal nobody questioned and one more AI tool in one more department.
01
Agent sprawl
Every business unit buys its own AI tools with no shared controls.
Registry agents. Find every agent and AI tool in use and keep one registry, platform and set of controls for all of them.
Unmanaged AI tools
Platform reuse
02
Licence and cloud waste
Unused seats and cloud spend above commitment.
Usage agents. Track use against entitlement and commitment and recommend changes before each renewal.
Licence use
Cloud spend against commitment
03
Service desk volume
Password resets and how to questions fill the queue.
IT service agents. Resolve routine tickets end to end and hand over the rest with full context.
Ticket deflection
Time to resolve
04
Integration bottleneck
Every new use case needs a new point to point integration.
An agent layer. Sits over ERP and core systems and connects through APIs and the Model Context Protocol.
Integration lead time
Reuse per integration
05
Legacy run cost
Old systems absorb the budget and slow every change.
Code analysis agents. Map legacy code and dependencies so you can wrap, extend and replace in waves.
Legacy run cost
Change lead time
06
Incidents found by users
Alerts pile up and the first real warning is a complaint.
Operations agents. Group and rank alerts, find the likely cause and run known fixes with approval.
P1 incidents
Time to restore
Process lifecycles
We start from the tools you already run. The orange steps are where an agent takes on the work, so your team spends its time on architecture and change.
Demand to deploy
Every change and new use case
Idea
Business case
Reuse checked first
Agent
Architecture review
Against standards
Agent
Build
Test
Generated and run
Agent
Release
Typical systems. Jira, ServiceNow SPM, Azure DevOps, GitHub
Incident to resolution
Every alert and ticket
Detect
Alerts grouped and ranked
Agent
Log
Triage
Likely cause found
Agent
Fix
Known fixes with approval
Agent
Problem management
Typical systems. ServiceNow, Datadog, PagerDuty
Asset and licence lifecycle
Every tool and contract
Request
Procure
Deploy
Track use
Against what you pay for
Agent
Renew or retire
With evidence
Agent
Typical systems. ServiceNow SAM, Flexera, cloud cost tools
Agent lifecycle
Every AI agent
Register
Owner, data, risk tier
Agent
Build
Approve
Controls checked
Agent
Deploy
Monitor
Quality, cost, drift
Agent
Retire
Typical systems. Cortex, cloud AI platforms, MCP servers, ITSM
Agent intervention point
The CIO control tower
Not a monthly service report. A live view of availability, cost and every AI agent in the company, with a brief on what needs your call.
Illustrative
CIO control tower
Sample data to show the view. Not client results.
Availability
99.94%
No P1 this month
Run spend
68%
▼ 4 pts
Licence use
71%
€1.3m unused
Agents live
42
▲ 9 this quarter
Deflection
46%
▲ 21 pts
Unregistered AI
7
Found this week
This week’s IT brief
Shadow
Seven AI tools found in use outside the registry
Two hold customer data. Owners contacted. Registry agent
Cloud
Data platform spend 14% above commitment
Three oversized clusters running overnight. Changes proposed
Legacy
Order system code mapped, 312 dependencies found
Wave 1 wrap plan ready for the architecture board
Desk
Access requests now resolved end to end in under 4 minutes
Down from 1.5 days. IT service agent
Agents by EU AI Act risk tier
Minimal
24
Limited
13
High
5
Not yet rated
7
Five high risk agents need full documentation before the Annex III date.
Illustrative example. Figures are invented to show how the view works. In discovery we build it on your own data and KPIs.
Your industry changes the agenda
The canvas stays the same. What the estate looks like and where it hurts does not. Here’s the question we hear most from CIOs in each industry, and where agents help first.
CPG
How do we connect partner and retailer data without endless integrations?
An agent layer over ERP and partner feeds
FMCG
How do we run many ERPs across markets without doubling the cost?
Integration through one agent layer
Retail
How do we support thousands of store staff with a small IT team?
IT service agents for stores
D2C
How do we stop the SaaS stack growing faster than the business?
Licence use and tool consolidation
Automotive
How do we run plant, dealer and vehicle systems as one estate?
Incident triage and integration
Healthcare
How do we bring in AI without risking patient data?
Agent registry and access controls
Energy
How do we connect operational technology and IT safely?
Monitoring and alert triage across IT and OT
Manufacturing
How do we modernise legacy plant systems without stopping lines?
Legacy code analysis and wrap plans
Logistics
How do we onboard partners and carriers faster?
API and document integration agents
BFSI
How do we meet DORA and still move fast with AI?
Agent registry, resilience and third party tracking
B2B technology
How do we keep internal IT lean as headcount grows?
IT service agents and access automation
How the CIO Office connects
Every AI use case in the company lands on the CIO’s estate sooner or later. The agents that serve the CIO Office share the same registry and controls as the offices around it, so AI scales on one path instead of fifty.
How we’d start
Pilot 1
Find every agent
↳
Every AI tool, model and agent in use found and listed
↳
Owner, purpose, data access and risk tier recorded for each one
↳
A shortlist of what to keep, merge, move onto the platform or switch off
Your decision
Which tools move onto the shared platform, and which stop.
Pilot 2
Service desk, top ten tickets
↳
IT service agents on your ten most common ticket types
↳
Resolved end to end in the channels employees already use
↳
Measured on deflection, time to resolve and satisfaction
Your decision
Which ticket types and teams to add next.
Both run under our Validation First Framework. They’re tested on your own data before you commit a larger budget, and if the numbers don’t hold, we tell you.
Your intervention map
Bring your application map, your IT budget split and the AI requests waiting in your queue. We bring the CIO Office canvas. In one session we map it to your estate and mark where agents would pay back first.
01
Your CIO Office canvas
What you run and answer for, checked against how your teams, vendors and platforms really work.
02
Your value chain
The canvas placed on your industry and your estate, with the systems behind every service.
03
Your intervention points
Each leak with an agent design, its controls and the KPI it moves. Delivered as a mind map, an architecture view or an interactive dashboard.
AI for the CIO Office, answered
What can AI do for the CIO Office?
Agentic AI helps the CIO run a reliable estate at lower cost and give the company one safe platform for AI. Agents resolve routine service desk tickets, triage incidents, track licence and cloud use, connect AI to ERP and core systems, analyse legacy code and keep a live register of every agent in the company.
What is an agent registry and why does a CIO need one?
An agent registry is a live record of every AI agent and model in the company, with its owner, purpose, data access, risk tier, cost and controls. Without one, business units build and buy agents nobody can see. With one, IT can reuse what works, control access and answer the board and regulators with confidence.
How can AI reduce service desk tickets?
IT service agents resolve routine requests end to end, such as password resets, access requests, software installs and how to questions. They work in the channels employees already use and hand over to a person with full context when needed. The team spends its time on the problems that need skill.
How do AI agents connect to ERP and legacy systems?
Through an agent layer that sits over your core systems and connects through APIs and the Model Context Protocol. Agents read and act through the same controls as people, without a new point to point integration for every use case. Legacy systems can be wrapped first and replaced later.
How can a CIO cut licence and cloud waste?
Usage agents compare what you pay for with what people actually use, across software licences and cloud commitments. They flag unused seats, oversized resources and spend above commitment, and prepare evidence for each renewal so savings are real before the contract rolls over.
Where should a CIO start with agentic AI?
With visibility. Find every AI tool and agent already in use and put them in one registry. Then pick one high volume service, such as the service desk, and let agents resolve its top ticket types. Both show results within a quarter and set the foundation for everything after.
