How to Get Your Leadership Team Aligned on AI
To get your leadership team aligned on AI, stop asking whether people are on board and start asking four concrete questions: where are we today, which one or two bets matter most, who owns each bet, and what number will tell us it worked. Have each leader answer privately first, then settle the differences in one working session. Alignment is a shared written answer to those four questions, not a room full of nodding heads.
Most leadership teams think they are aligned because nobody objects in the meeting. The data says otherwise. In a Wakefield Research survey of 300 US C-level executives for KUNGFU.AI, 74% said they had projected more confidence in their AI strategy than they actually felt. If three in four senior leaders are performing confidence, a quick show of hands tells you very little.
This post explains why leadership teams drift apart on AI, a simple way to find out where yours really stands, and a two-hour session that turns private opinions into one plan.
Why is your leadership team out of sync on AI?
It is rarely a fight between fans and skeptics. Each executive sees AI through their own function, and those views really are different.
Grant Thornton's 2026 AI Impact Survey of 950 senior executives shows how wide the gap gets. 44% of CIOs and CTOs said AI is accelerating innovation, against 20% of COOs and 22% of CFOs. 39% of CIOs and CTOs rated their workforce as fully ready to adopt AI, against 7% of COOs. When asked why AI underperforms, 54% of COOs and 52% of CFOs pointed to governance and compliance, compared with 29% of CIOs and CTOs.
Read that as a CEO and the picture is clear. Your technology leader thinks the company is further along than your operations leader does. Your finance and operations leaders are worried about risk that your technology leader is less worried about. None of them is wrong. They are each describing the part of the company they can see.
Ownership is just as blurry. In a Pearl Meyer poll of 108 executives and board members, 90% of board members said leading AI belongs with the C-suite. The executives themselves split: 32% named the C-suite as a group, 22% the level below it, 27% individual business leaders and 17% functional heads like HR or finance. Even CEOs and boards disagree. BCG's 2026 survey of CEOs and board members found 47% of CEOs say they lead AI implementation, while 39% of board members say their CEO does.
So if your team feels stuck, it is probably not because someone is blocking. It is because everyone is answering a different question.
What does AI alignment actually mean?
Leadership alignment on AI means your top team agrees, in writing, on the same four things:
- Where we are. One shared view of the company's current AI stage.
- What we are betting on. One core bet and one or two quick wins for the next quarter, and an explicit list of what you are not doing.
- Who owns each bet. One named business owner per bet, with the authority to change how their team works.
- How we will know. One metric per bet, with a starting number and a review date.
Notice what is missing: enthusiasm, a vision statement and a tools list. Those come later or not at all. A team can be excited about AI and badly misaligned, and a skeptical CFO can be fully aligned if she agrees on the four answers.
How do you find out where your team really stands?
Run a private stage vote before you meet. It takes each leader ten minutes and shows you the real gaps before anyone has to defend a position in front of peers.
Use the four stages from the Journey AI maturity model:
- Scattered: individuals use AI on their own, with no shared direction.
- Experimenting: pilots are running, but they sit beside the real work, not inside it.
- Operating: a few AI workflows are part of how core work gets done, with owners and metrics.
- Compounding: AI is built into planning, and each win makes the next one faster.
Send every member of the leadership team the same three questions and ask them to answer alone:
- Which stage is the company in today, and which stage is your own function in?
- What is the one AI bet that would matter most to the business in the next 90 days?
- What worries you most about pushing AI harder?
Then read the answers side by side. The spread tells you more than any single answer.
- Same stage, same bet: you are closer than you think. Go straight to ownership and metrics.
- Same stage, different bets: a prioritization problem. The session should focus on choosing.
- Stages two or more apart: a visibility problem. Leaders are looking at different parts of the company. Start the session by sharing what each function actually uses.
- Worries cluster on risk or data: a trust problem. Bring guardrails into the session early, or they will block every decision later.
Keep the answers anonymous if your team is not used to disagreeing openly. PwC's workforce research found about a third of executives lacked confidence in psychological safety, meaning they did not feel safe sharing ideas or admitting failure. Anonymous input gets you the honest version.
How do you run a leadership AI alignment session?
Block two hours with your direct reports. No vendors, no demos. Bring the anonymous stage vote results printed on one page. Here is the agenda:
- Share the spread (15 minutes). Show the stage answers and the list of proposed bets. Do not debate yet. Ask each leader to say in one sentence why they placed the company where they did.
- Agree on the stage (15 minutes). Settle on one stage for the company. Use evidence, not opinion: name a workflow where AI is in daily use, or admit there is none.
- Cut the list (30 minutes). Score each proposed bet on business impact and readiness, one to five each. Choose one core bet and one or two quick wins. Write down the three things you are explicitly not doing this quarter. This is the step most teams skip, and the one that ends pilot sprawl.
- Name owners (20 minutes). Each bet gets one business owner, not a committee and not IT by default. The owner is the person whose team's work will change.
- Set the number (20 minutes). Each bet gets one metric, a starting value and a check-in date. If no one knows the starting value, the first task is to measure it.
- Name the guardrails (15 minutes). Take the worries from the vote and turn each into a rule: which data stays out of AI tools, who approves new tools, where a human must review output.
- Read it back (5 minutes). One person reads the one-page result aloud. Anyone who cannot support it says so now.
The output is a single page with four headings: our stage, our bets, our owners, our numbers. That page is your AI strategy for the quarter.
What should each executive own after the session?
Alignment fails when everyone agrees and nobody's job changes. Before you leave the room, each leader should know their part. A split that works for most 25-500 person companies:
- CEO: owns the portfolio. Decides which bets get attention, protects the "not doing" list and runs the monthly review.
- CFO: owns the measurement method. Agrees what counts as a gain and checks that it shows up in the numbers, using a simple before-and-after AI ROI method.
- COO or business unit heads: own the outcomes. They change how their teams work, because that is where the value comes from.
- CIO or IT lead: owns the foundation. Security, data access, integrations and vendor review. IT says how to do something safely, not whether it is worth doing.
- HR or people lead: owns the skills plan. Who needs training, and how roles and expectations change.
There is usually one gap in this list: nobody turns a business problem into a working AI workflow. That is the job of a product role sitting between the business and IT. In a mid-market company it is often a curious operations leader, part time. We wrote about it in Should IT Own AI?. If no one fills that role, your aligned plan will stall in the handoff between the business owner and IT.
What mistakes keep leadership teams misaligned?
- Treating a tool rollout as alignment. Buying licenses for everyone feels decisive. It answers none of the four questions.
- Letting one function own AI for everyone. The Grant Thornton data shows each function sees a different picture. Giving AI to one of them means the others stop looking.
- Skipping the "not doing" list. If nothing is cut, every leader keeps their pet project and you are back to a dozen pilots.
- Confusing silence with agreement. If the people who raised risk in the vote say nothing in the room, ask them directly.
- Meeting once. One offsite creates a good week. A monthly review creates a habit.
How do you keep the team aligned after the first session?
Put a 30-minute AI review on the leadership calendar once a month. Same page, same four headings. Each bet owner answers three questions: what is the metric now, what is blocking it, and do we keep going, change course or stop. Run the private stage vote again every quarter. When the answers start to converge, you are aligned. When they spread again, something changed and you want to know what.
Two signs it is working. First, leaders start saying no to new AI ideas without you, because they know what the bets are. Second, the guardrail debates get shorter, because the rules are written down and the people who worried about risk helped write them.
Where should you start this week?
Send the three stage vote questions to your direct reports today. Give them until Friday. Read the answers before you read anything else about AI tools. You will learn more about your company's AI readiness from that one page than from any vendor demo.
If you want an outside view on where your leadership team stands, Journey offers a free CEO AI audit. Either way, the first step is the same: get every leader's honest answer on paper before you ask them to agree.
Frequently Asked Questions
Ask each leader to answer four questions privately: what stage the company is in, which one bet matters most, who should own it, and what number shows success. Compare the answers, then hold a two-hour session to settle the differences. End with one written page listing the stage, the bets, the owners and the metrics, and review it monthly.
Mostly because each one sees AI through their own function. Grant Thornton's 2026 survey found 44% of CIOs and CTOs said AI is accelerating innovation, against 20% of COOs and 22% of CFOs. Finance and operations leaders worry more about governance and compliance. The disagreement is usually about visibility and risk, not about whether AI matters.
The CEO owns the portfolio of AI bets. Each bet gets one business owner whose team's work will change, usually an operations or business unit leader. The CFO owns how gains are measured, IT owns security and integrations, and HR owns skills. A product role between business and IT turns each problem into a working workflow.
The first pass takes about a week: a ten-minute private survey for each leader, a few days to collect answers, and one two-hour working session. Staying aligned takes a 30-minute monthly review of the bets, owners and metrics, plus repeating the private stage vote every quarter to see whether views are converging.
One page with four headings: the company's current AI stage, the one core bet and one or two quick wins for the quarter, a named owner for each, and one metric per bet with a starting value and a review date. It should also list what the team is explicitly not doing, plus the guardrails for data and tool approval.
