Strategy and growth. Chief Executive Officer
AI for the CEO Office
You own every number. You see most of them a month late.
The CEO answers for the whole company, but the view from the top is usually a board pack built weeks ago from a dozen spreadsheets. We map the CEO Office the way you actually run it, then put agents where they give you a live picture, faster decisions and capital that moves to where it earns most. Including your AI budget.
The short answer
It gives you a live view of the company instead of a monthly one. Agents track every strategic initiative and AI programme, prepare executive and board briefings from live data, watch markets and competitors, and show where capital earns the most.
The point isn’t more dashboards. It’s that your leadership meetings stop being about what happened and start being about what to do next.
The mandate
Set the direction. Allocate the capital. Build the team. Then answer to the board and the market for all of it.
What the board measures you on
Revenue growth
Against plan and against peers
EBIT margin
And whether it compounds
Return on capital
Where every euro goes and what it earns
Shareholder value
Total return or valuation
Strategic milestones
Delivered on time, or not
Leadership and reputation
The team, the culture, the trust
The canvas of the CEO Office
Most advice to CEOs only looks at the first one. The second is where the risk sits, and where AI changes the conversation with the board.
Canvas 1
What you run
The levers you pull directly, every week.
Canvas 2
What you answer for
The things the board, investors and regulators hold you to.
Board and investors
Board papers, the equity story and a growing list of questions about AI.
Enterprise risk and reputation
Top risks, crisis readiness, regulators and public trust.
AI ambition and accountability
How far and how fast the company goes with AI, who owns it, and exposure under the EU AI Act.
Culture and succession
The leaders who will run the company next, and how they work with AI.
Where value leaks
None of these show up as a line on the P&L. All of them cost you one.
01
AI spread thin across pilots
Dozens of experiments, little EBIT, and nobody sees the whole portfolio.
Portfolio agent. Maps every AI initiative with owner, cost, stage, risk and expected value, and flags what to scale, fix or stop.
EBIT impact per AI euro
Pilots taken to production
02
Decisions made on stale information
Board and leadership packs take weeks to build and are out of date when they land.
Executive briefing agent. Pulls from finance, sales, operations and market sources, explains what changed and why, and drafts the pack for review.
Pack preparation hours
Decision cycle time
03
Strategy drifts in execution
Initiatives slip quietly between quarterly reviews.
Initiative tracking agents. Read project, finance and HR data and flag slippage the week it starts, with the owner and the reason.
Initiatives on track
Weeks earlier slippage is caught
04
Capital stuck in last year’s priorities
Budgets roll forward because nobody can compare returns across units quickly.
Reallocation agent. Compares actual returns across businesses, projects and markets and models where money would earn more.
Return on invested capital
Share of budget reallocated
05
Market moves spotted late
Competitor launches, price moves and new rules reach the CEO through the press.
Market sensing agent. Scans competitors, customers, regulators and news daily and briefs the leadership team on what matters.
Time to response
Surprises at board level
06
Leadership time spent on status
Executive meetings go on updates instead of decisions.
Pre read agents. Summarise status before the meeting and log every decision with owner and deadline, then follow it up.
Meeting time on decisions
Decisions followed through
Process lifecycles
Every one of these runs today on meetings, spreadsheets and email. The orange steps are where an agent takes on the work, so your team spends its time on judgment.
Strategy to execution
Annual cycle, reviewed quarterly
Strategy
Annual plan
Budget
Objectives
Quarterly review
Live status, not slides
Agent
Reallocation
Returns compared across units
Agent
Capital allocation
Every major investment, including AI
Proposal
Business case
Checked against past assumptions
Agent
Approval
Delivery
Return review
Actuals against the case
Agent
Board cycle
Every board and committee meeting
Agenda
Board papers
Drafted from live data
Agent
Meeting
Decisions
Follow up
Owners and deadlines tracked
Agent
Market sensing
Continuous
Signal
Competitors, regulators, news
Agent
Assess
Impact on your plan
Agent
Brief
To the right leader
Agent
Decide
Act
Agent intervention point
The CEO control tower
One screen for the whole company. Not a report someone built for you last week, but a live view with a briefing that tells you what changed and what needs a decision.
Illustrative
CEO control tower
Sample data to show the view. Not client results.
Revenue growth
7.2%
▼ 0.8 pts vs plan
EBIT margin
14.1%
▲ 0.6 pts
Return on capital
11.4%
▲ 0.9 pts
EBIT from AI
€6.8m
of €12m plan
Initiatives on track
14 of 19
▼ 2 this month
Top risks rising
3
Supply, cyber, FX
This week’s executive brief
Margin
Southern Europe margin down 1.2 points on freight costs
From finance and logistics data. Owner. COO Office
Slipping
Two strategic initiatives missed their milestone
ERP rollout wave 2 and the new market launch
Market
Main competitor launched a subscription offer in your top market
Flagged by market sensing. Owner. CMO Office
Scale
Finance AI pilot ready to scale, payback in seven months
Decision needed at Thursday’s leadership meeting
AI portfolio by stage
Idea
23
Pilot
11
Production
6
Scaled
3
4 pilots past their end date with no decision. Combined spend €1.1m.
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 keeps the CEO up at night does not. Here’s the question we hear most in each industry we work in, and where agents help first.
CPG
How do we grow when retailers own the shelf and the data?
Sell out and trade spend visibility
FMCG
How do we protect margin as input costs and promotions swing?
Margin sensing by product and market
Retail
How do we compete on price without giving away margin?
Price and promotion intelligence
D2C
How do we grow profitably once paid acquisition gets expensive?
Cohort and payback tracking
Automotive
How do we fund electric and software while the core still pays the bills?
Capital reallocation and programme tracking
Healthcare
How do we serve more patients with the same clinical workforce?
Capacity and access visibility
Energy
How do we fund the transition and keep supply reliable and affordable?
Portfolio and regulatory sensing
Manufacturing
How do we keep plants competitive as supply chains regionalise?
Plant performance and supply risk briefings
Logistics
How do we protect margin when rates swing every week?
Lane and customer margin sensing
BFSI
How do we grow while regulators, fraud and new competitors close in?
Risk and regulatory briefings
B2B technology
How do we keep growth efficient as AI reshapes our own product?
AI portfolio and efficiency tracking
How the CEO Office connects
The CEO Office sits above every other office. The agents that serve it draw on the same platform and data as the offices below, so the view at the top is never a separate version of the truth.
How we’d start
Pilot 1
AI portfolio review
↳
Every AI initiative and agent in the company, mapped in one view
↳
Owner, cost, stage, risk tier and expected value for each
↳
A scale, fix or stop recommendation, with the reasoning
Your decision
Which initiatives to scale, and which to stop funding.
Pilot 2
Executive briefing agent
↳
A weekly brief for the leadership team from live finance, sales, operations and market data
↳
What changed, why it matters and who owns it
↳
Tested on your own data, alongside your current pack
Your decision
Whether it replaces the current pack, and whether the board gets it 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 the three decisions on your desk this quarter. We bring the CEO Office canvas. In one session we map it to your company and mark where agents would change the picture first.
01
Your CEO Office canvas
What you run and answer for, checked against how your leadership team really works.
02
Your value chain
The canvas placed on your industry and your company, with the systems behind every number.
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 CEO Office, answered
What can AI do for the CEO Office?
Agentic AI gives the CEO Office a live view of the company instead of a monthly one. Agents track every strategic initiative and AI programme, prepare executive and board briefings from live data, watch markets and competitors, and show where capital earns the most, so leadership spends its time on decisions rather than status updates.
How should a CEO measure the return on AI?
Against the numbers the board already tracks. EBIT impact, revenue growth, cost to serve and return on invested capital. Every AI initiative should have an owner, a baseline, a cost and a target, and the portfolio should be reviewed like any other capital allocation decision.
How can a CEO get one view of AI across the company?
By putting every AI initiative and agent into one portfolio and one platform. That gives the leadership team the owner, stage, cost, risk tier and value of each one, and makes it easy to scale what works and stop what doesn’t.
Can AI prepare board packs and executive briefings?
Yes. Briefing agents pull from finance, sales, operations and market sources, highlight what changed and why, and draft the pack for the team to review. Leaders still own the narrative and the decisions. The agents remove the weeks of compiling.
What is the CEO’s role in AI governance?
The CEO sets the AI ambition and is accountable to the board for how AI is used. That means clear ownership, a risk appetite the board signs off, and controls that meet the EU AI Act and sector rules. Day to day governance sits with the Chief AI, Risk and Compliance Offices.
Where should a CEO start with agentic AI?
With a portfolio review of the AI already running in the company, and one executive briefing pilot. Together they show where value is real, where money is being wasted and what leadership gains from live information, before any large new commitment.
