LinkedIn Content Strategy for AI Governance Strategists | Netwarm
LinkedIn playbook · Case study
LinkedIn content strategy for AI governance and CX transformation strategists: how a Dublin advisor reached 55 senior executives in 12 days
We read every reaction on 27 posts from a Dublin AI governance and CX transformation strategist. 244 people, 55 senior executives. Here is what brings buyers, what brings peers, and the 5 posts we'd publish next.
Max Sawyer · Netwarm··12 min read
The creator in this case studyA Dublin AI governance and CX transformation strategist
Followers46,768
PostsSeveral a day, ~16 a week
SellsAI and CX transformation advisory for enterprises, contact centres and BPO providers; AI strategy and governance work with leadership teams
PeriodOct 24 – Nov 4
Ideal client: senior executives and boards in banking, insurance, telecom and customer operations who are deciding how far to let AI act, and who answers for it.The challenge: The strategist posts several times a day, mostly short quotes from consulting and research reports, plus a weekly newsletter and a CX series. Other AI advisors and creators react the most. Which posts reach the executives who would hire the advice?
These numbers are from 4 November. Your audience has already moved.
New senior executives turn Hot every week and others go quiet. Run your free scan to see today’s version, with the names.
1 in 5 readers is a senior executive.55 founders, C-level leaders, directors, chairs and board members reacted in 12 days: 22.5% of everyone who reacted. Peers were 57%.
Essays reach 2x more executives than CX posts.The strategy and governance essays brought 11 senior executives a post, the CX posts 5, the research quotes 6 to 8.
9 senior executives are Hot right now.They reacted to 5 posts or more. One of them reacted to 23 of the 27.
01
Who actually reads you, and what the LinkedIn algorithm changed
The strategist writes about AI strategy, governance and customer operations for leaders in banking, insurance, telecom and contact centres. 27 posts between 24 October and 4 November: research quotes, essays, a newsletter and the Burn the CX Playbook series.
The LinkedIn algorithm shows a post to the people who reacted to the last ones, then to people like them. In AI governance, the people who react fastest are other advisors, strategists and creators. They lift reach. They rarely buy. We looked at every person who reacted and sorted them by role.
27posts in 12 days
244people reacted
55senior executives
16came back 3+ times
Audience by roleThe 244 people who reacted, by roleFree
AI advisors, consultants, strategists & creators139 · 57%
Everyone else50 · 20.5%
Peers are the largest group by far: 139 advisors, consultants, strategists, speakers and creators, many of them writing about AI governance too. They are good company and they push reach. They rarely hire a transformation advisor.
Senior executives are 55 people, about 1 in 5. The ones who matter most come from banking, insurance and financial services, the sectors the strategist writes about most. Not every founder is a buyer: some run small AI firms that sell to the same leaders.
SeniorityAll people who reactedFree
Founder, owner, C-level29.5%
Director, VP8.2%
Manager5.3%
Independent14.3%
Other42.6%
IndustriesSenior executives onlyNetwarm
Banking, insurance and financial services34.5%
Hidden in preview00%
Hidden in preview00%
Hidden in preview00%
See all industries and company sizes in your free scan.
6 rules for LinkedIn engagement from senior executives
These rules come from what worked on the strategist's own profile, and from the best-performing posts by AI governance and transformation creators on LinkedIn over the last 3 months.
1
Write the take, not only the quote. A one-line quote from a consulting report shows the strategist reads widely. An essay in the strategist's own words shows how the strategist thinks, and that is what an executive hires.On this profile: the 4 strategy and governance essays brought 11 senior executives a post. The 19 research quotes brought 6 to 8.
Open with the reversal a leader would repeat. Two short lines that turn a familiar idea around (“Your AI policy is approved. Your agents have never read it.”) land before the argument does.Across the niche: Michael Lee's two-line reversal drew 388 comments on 448 likes.
When you share research, add your notes. Keep the report, then add three points only the strategist could write: what it misses, what it means for a bank or a contact centre, what to check on Monday.Across the niche: Alex Wang's research post with four notes of his own drew 2,399 likes and 261 comments.
Tell one leader's moment. A real moment from client work (the call, the slide, the question asked in the room) shows the advisory work itself, without naming anyone.Across the niche: Stephanie Hills' one-SVP story drew 667 comments on 675 likes.
Give the framework one picture. A list of five short points, or five rings on one image, is something an executive can save and reuse in the next meeting.On this profile: the Issue 95 post, five 🔰 points in a list, had the highest share of senior executives: 36.8%.
End on the question the leadership team has to answer. Close on a question about their own operation (“Where is knowledge still treated as a side project?”), not a link or a hashtag block.On this profile: the knowledge side-project post, which ends on that question, brought 31.2% senior executives.
When senior executives read: the best time to post on LinkedIn for AI governance strategists
We compared the share of senior executives by the day and the hour (Dublin time) each post was published. Hours are shown only for 2-hour slots with 3 posts or more.
Share of senior executives by posting dayAmong the people who reacted to each postFree
21.8%
Mon
25.8%
Tue
25.4%
Wed
26.7%
Thu
23.1%
Fri
26.9%
Sat
19.8%
Sun
Best time to post, by hourShare of senior executives among people who reactedFree
24.9%
8:00
23.2%
10:00
24.4%
12:00
21.6%
14:00
Saturday brought the highest share of senior executives (26.9%, across 6 posts) and Sunday the lowest (19.8%). Thursday reads high but rests on a single post.
The 8:00 slot carried 10 posts and the best share among the busy slots (24.9%); 14:00 was the weakest (21.6%). Put the essays at 8:00 on Tuesday, Wednesday and Saturday, and keep the one-line quotes for the afternoon.
05
5 posts ready to publish to target senior executives
Each post follows the rules above, in the strategist's voice. Swap in your own details before posting: the real client moment is what makes it land.
1Ready to postFramework + lead magnet
Every AI business case needs a change caseRules 1 and 5: the strategist's own argument, laid out as a short list a board can reuse, with the one-page version offered at the end. Modelled on the October 28 “change case” essay.
Hook
Your AI business case explains why to commit. Nobody wrote down what would make you change your mind.That second document is the one I now ask boards for. I call it the change case.The business case answers: what will this cost, and what will it return?The change case answers five other questions:🔰 Which assumptions does this investment depend on?🔰 Which developments would make us reconsider: a model, a price, a regulation, a provider?🔰 What stays portable if we move: data, prompts, evaluations, workflows?🔰 What would need to be rebuilt, revalidated or redesigned?🔰 Who has the authority to trigger that review, and on what evidence?This is not an argument for keeping every option open. That would be expensive and slow.Some commitments should deepen, because they create distinctive advantage. Others deserve deliberate reversibility, because the capability underneath them will evolve or commoditise.The discipline is knowing which is which before commitment becomes dependency.I have turned the five questions into a one-page change case template, with an example filled in for an AI customer service platform. Comment CHANGE and I will send it to you.
Visual · Single imageTwo columns on one page: “Business case” (cost, return, timeline) and “Change case” (the five questions). The second column highlighted.Check before postingPut your free Netwarm Reveal link in the reply so you can see which executives download the template. Fill in the example with a case you can describe without naming a client.
83% will delegate. 3% are very confident.Rule 3: keep the research, then add three notes only the strategist could write. Modelled on Alex Wang's notes on the MIT CISR decision-rights research.
Hook
83% of CEOs will let AI agents act on customers, revenue or financial controls. 3% are very confident they could explain what those agents did.That gap, from Oliver Wyman's latest CEO research, is the most useful number I have read this month.Three notes I took from it:1/ The limits are not the problem. Most CEOs grant authority “within tight, preset limits”. The problem is that nobody checks whether the limits still hold six months later, after the models, routing rules and workflows have changed.2/ Reconstruction is a design decision. You can only explain what an agent did if someone decided, before go-live, what gets logged, for how long, and who can read it. That is an operating model choice, not a technical afterthought.3/ Confidence should be earned per process. An agent that answers a delivery question and an agent that waives a fee should not carry the same level of autonomy, or the same evidence requirements.The question for boards is not “should we delegate?”. Most already have.It is “could we stand behind it?”Which of your AI processes could you reconstruct today, end to end?
Visual · Single imageTwo numbers, large: 83% (will delegate) and 3% (very confident). Source line underneath.Check before postingCheck the Oliver Wyman figures against the original report before posting.
The hand-off that arrived with nothingRule 4: one leader's moment instead of a report. Modelled on Stephanie Hills' SVP story, built on the strategist's Burn the CX Playbook episode on human-in-the-loop.
Hook
The governance slide was green. Then I listened to the first escalated call.A bank's operations director had asked us to review their new AI service journey before it scaled.On paper, everything was there. Humans remained in control. Escalation was always available. Risk had signed off.So we sat with the agents on the floor for a morning.The first escalated customer had already spent eleven minutes with the assistant. The agent received a name, an account number and the words “customer requested agent”.Nothing about what the customer had asked. Nothing about what the AI had already tried. Nothing about why it gave up.The customer started again from the beginning. Politely, at first.The director's reaction was the honest one: “So the loop exists on the slide.”We changed three things before the next release:🔰 The hand-off carries a summary of the conversation and the reason for escalation🔰 The agent can flag what the AI got wrong, in one click🔰 Those flags are reviewed every week by the team that owns the AI, not the contact centreHuman-in-the-loop is not a sentence in a proposal. It is a designed step, with an owner.Where does your hand-off still arrive with nothing?
Visual · Text onlyNo image. The scene carries the post.Check before postingUse a real engagement you can describe without naming the client, and replace the eleven minutes and the three changes with what really happened.
Human-in-the-loop, in five fieldsRule 5: one picture a CX leader can take into the next design review. Modelled on John Wernfeldt's five rings.
Hook
Human-in-the-loop, in five fields.What the customer wanted.
What the AI already tried.
Why it stopped.
What the customer has been told.
Where the agent sends feedback.Every field leans on the one before it.And the last one is the most important.Without it, the hand-off may be well designed today and still be wrong in six months, because nothing the agents learn on the floor ever changes what the AI does next.Most operations we review have an escalation path. Far fewer have a hand-off.The difference is the content that travels with the customer.If your AI programme claims oversight, ask to see one real hand-off screen. Count the fields.How many of the five would your agents receive today?
Visual · Single imageFive stacked bars or rings, one field each, the fifth (feedback route) in the accent colour.Check before postingAdjust the five fields to the ones you use in your Burn the CX Playbook work.
The customer has become the integration layerRules 1 and 6: a name for the problem in the strategist's own words, and a question for the leadership team at the end. Modelled on the October 29 post on customer-operations metrics.
Hook
Your AI journey has an integration layer nobody budgeted for. It is the customer.The chatbot contains the interaction. The dashboard records a success.Then the customer calls. Repeats their details. Reconciles two different answers. Explains the problem again to a human.Each system performed exactly as designed.The customer did the integration work between them.This is why a lower cost per interaction can mean two very different things. Genuine efficiency. Or work moved to someone who does not appear in your reporting.Three checks I would run before calling an AI journey a success:🔰 Count contacts per resolved problem, not per channel🔰 Follow ten customers across channels for a week, by hand🔰 Name one owner for the complete outcome, not one per systemThis is not an argument against automation. Well-designed self-service removes effort for everyone.The question is whether you are simplifying the customer's problem, or only making your part of it cheaper.Who owns the complete customer outcome in your organisation?
Visual · Single imageA simple journey line: chatbot, phone, email, agent, with the customer drawn as the line connecting them.Check before postingUse a real cross-channel example from your client work if you can share it without names.
Free forever: unlimited scheduling through LinkedIn’s official API, with images, video and PDF carousels.
06
LinkedIn lead generation: lead magnets that work to target senior executives
Reactions show interest. A download shows intent. The fastest way to find out which executives are serious is to give them something useful and see who takes it.
In AI governance and customer operations, these formats get the most requests:
Format 1The one-page sheetEverything one team needs on a single page, sent to whoever comments.
Format 2The free reportA short market report with the numbers a leader would quote in a meeting.
Format 3The readiness reviewA short call that checks one thing (governance, a hand-off, a business case), offered by DM.
Format 4The 30-day planA framework on one image, and the plan to start it behind a link.
Our pick for you: “The AI Change Case template”Built from the change case the strategist already proposed on 28 October: the five questions a board should ask next to the business case (assumptions, triggers, what stays portable, what gets rebuilt, who can call the review), with one example filled in for an AI customer service platform. Offer it at the end of post 1.With a Reveal link, every person who downloads it is shown by name, with their role and how warm they are. Your first Reveal link is free.Create your free Reveal link
07
From reactions to clients
Content brings executives to the profile. It doesn't say when to reach out. Most never comment, so they stay invisible, and an executive reading every post in November may have hired another advisor by February.
On LinkedIn, the right moment to start a conversation is when someone keeps coming back. We call that Hot: 5 or more points over 90 days, where a reaction counts 1, a repost 2, a download or a reply 4.
Hot right now9 senior executives · not contacted yetNetwarm
9 senior executives are Hot. See who to message first.See who’s Hot
First messageAn opener for each Hot person, based on the posts they readNetwarm
Hi Aoife, you've been reading the posts on AI governance for a couple of weeks. Is your board asking for a change case yet?Hi Mark, I saw you reacted to the human-in-the-loop post. Is the hand-off on your list for Q1?
A first line for each of them, ready to send.See the openers
Netwarm sends nothing for you. It tells you who and when, and you write the message. It also works inside Claude and ChatGPT: ask “Who's Hot today?” and get the list.
08
FAQ
Essays in your own words, not only quotes from reports. Here, the strategy and governance essays brought 11 senior executives a post, against 6 to 8 for research quotes and 5 for CX posts.
For this strategist, Saturday brought the highest share of senior executives (26.9%) and Sunday the lowest (19.8%). Tuesday and Wednesday followed closely, at about 25.5%.
This strategist posts about 16 times a week, and 16 senior executives came back 3 times or more in 12 days. Fewer quotes and more essays would likely bring more of them per post.
Look at who reacts, not how many. Group reactions by role, measure the share of your ideal clients per post, and follow the people who keep coming back. A free Netwarm scan does this for you.
Yes. Netwarm only reads public reactions to your own posts. It never logs in as you, never asks for your password, and never messages anyone for you.
How we made this playbook
We read the public reactions on 27 posts published between 24 October and 4 November 2026 (up to the first 100 reactors per post), and sorted the 244 people by role. Comments were not counted, so engagement figures are a floor. Two Burn the CX Playbook posts written by the company page and the 5 November post, too recent to count, were left out.
Niche rules come from top posts by AI governance, transformation and CX creators over the last 3 months. Role groups are approximate, and some executives sell to the same audience; a Netwarm scan matches people to your own ideal client.