Build LinkedIn authority around real expertise — not noise.
A free, opinionated playbook for AI, CS, and RevOps leaders. Frameworks, hook patterns, and a deep idea bank — drawn from how we publish on the topics this practice works in every day.
Six hook patterns
Most LinkedIn posts fail in the first sentence. These six patterns travel well across AI, CS, and ops topics — pick one, write the opening line, build the post backward from there.
"Most CS dashboards predict churn after it's already happening. Here's why."
"I shipped 11 AI pilots last year. 3 made it to production. Here's what separated them."
"We score AI readiness on 6 dimensions. The one most teams underrate: governance."
"'AI will replace CSMs.' The actual shift is more interesting — and more demanding."
"Every stalled AI program I've audited shares the same 3 organisational symptoms."
"What an executive AI briefing actually looks like inside a $400M-ARR business."
50 post ideas
Ten ideas across each of the five categories this practice publishes in. Treat them as prompts to be sharpened with a specific number, anecdote, or framework — not as ready-to-publish lines.
Executive AI strategy
- 01The 6 questions every board should ask before approving an AI roadmap.
- 02Why 'AI strategy' that isn't tied to a P&L line is just slideware.
- 03How to size an AI investment without overcommitting on infrastructure.
- 04The single sentence that should open every AI business case.
- 05Build-vs-buy in 2026: the decision tree we use with clients.
- 06What separates 'AI-curious' executives from 'AI-fluent' ones.
- 07Three signals your AI program has become a science project.
- 08The 90-day operating cadence for an AI program that actually ships.
- 09How to brief a non-technical board on model risk — in one slide.
- 10What CFOs should require from any AI vendor proposal.
AI readiness & adoption
- 01AI readiness has 6 dimensions. Only one is technology.
- 02The fastest path from pilot to production isn't more pilots.
- 03Why 'change management' is the line item most AI programs underfund.
- 04How to spot organisational friction before it kills your pilot.
- 05Three artefacts every AI program needs before kickoff.
- 06The maturity model we use to set realistic 12-month targets.
- 07Why your data quality problem is actually a governance problem.
- 08A field-tested intake form for AI use-case prioritisation.
- 09Adoption metrics that matter — and the vanity ones to ignore.
- 10When to centralise an AI capability, and when to federate it.
Customer Success transformation
- 01Health scores don't reduce churn. Plays do.
- 02How AI-augmented CSMs spend their time differently — week one vs week twelve.
- 03Three CS metrics we retired after rebuilding the operating model.
- 04The CS health model that survived contact with reality.
- 05Why your QBR template is quietly destroying renewal momentum.
- 06Renewal forecast accuracy: a 4-step diagnostic.
- 07Designing 'plays' that managers actually inspect.
- 08Expansion playbooks that work for PLG and sales-led, side by side.
- 09When to fire a customer (and how to do it cleanly).
- 10The CS-to-Product feedback loop that most teams describe but few operate.
AI governance & risk
- 01Governance isn't a policy document. It's an operating cadence.
- 02The 6 pillars of pragmatic AI governance — without slowing the business.
- 03How to write an AI use-case approval form that engineers won't ignore.
- 04Human oversight: what it should and shouldn't look like in production.
- 05The minimum viable model documentation we recommend to clients.
- 06Three governance failure modes we see repeatedly — and the fix for each.
- 07Privacy, security, and ethics: how to keep all three from blocking each other.
- 08How to socialise AI governance with engineers without losing them.
- 09The audit trail you'll wish you had built — start small, start now.
- 10Why your AI vendor questionnaire is missing the most important section.
Automation & RevOps
- 01Most automation 'wins' just move the bottleneck. Here's how to find the real one.
- 02How to prioritise automation candidates without a giant scoring matrix.
- 03Why your CRM is the bottleneck — and three moves to unblock it.
- 04Forecast hygiene: a 30-day plan to make next quarter believable.
- 05Process redesign vs. tooling change — when to do which.
- 06The RevOps operating model we recommend at $20M, $100M, and $500M ARR.
- 07A 4-step intake for automation requests that filters out the noise.
- 08Three signs your sales process needs surgery, not a new tool.
- 09What 'data quality' should mean to a RevOps team — operationally.
- 10Why most reporting requests are actually decision-making requests.
20 carousel concepts
Carousels reward structure. Each concept here is structured enough to draft in a sitting — open with the framework, devote one slide per element, close with a diagnostic or a CTA to a related Kaivex framework.
- 01AI Readiness in 6 dimensions — what each score actually means.
- 02The 7-stage Kaivex transformation roadmap, slide by slide.
- 03AI governance: the 6 pillars and one sentence per pillar.
- 04Pilot → Production: the 5 gates we make programs pass.
- 05CS health model: 4 signal categories, ranked by leading-ness.
- 06Renewal forecast accuracy: a 4-step diagnostic.
- 07The AI Opportunity Assessment Matrix — value vs feasibility, with examples.
- 08Build vs. buy: the decision tree, end-to-end.
- 09An executive AI briefing structure that actually drives a decision.
- 10Three AI program failure modes — symptoms, root cause, fix.
- 11AI use-case intake form — every field, and why it matters.
- 12Operating cadence for an AI program: monthly, quarterly, annual.
- 13RevOps operating model at three scales of business.
- 14QBR redesign: from status update to decision meeting.
- 15Customer journey map → intervention map, in 8 slides.
- 16AI maturity model: 4 bands, with diagnostic prompts.
- 17The CS-to-Product loop, drawn as a system, not a slogan.
- 18Three CS metrics we retired — and what replaced them.
- 19Workflow automation: prioritisation framework with worked example.
- 20How to read an AI program audit report — what to look for first.
10 ways to promote a downloadable asset
- · Tease 3 questions from the AI Readiness Scorecard, then link to the download.
- · Share a single page from the Executive AI Strategy Briefing as an image.
- · Post the AI Opportunity Assessment Matrix axes; ask readers where their use-case sits.
- · Quote one finding from a recent engagement and link to the related framework.
- · Run a 'before/after' on a real (anonymised) operating cadence.
- · Carousel walking through one chapter of the CS Transformation Blueprint.
- · Side-by-side comparison: AI Governance maturity bands, then link to starter kit.
- · Pull a checklist excerpt from the Workflow Automation Toolkit.
- · Share one diagnostic question per day for a week, then bundle them.
- · Post a short audit-style observation, link to the relevant playbook.
10 ways to promote an executive briefing
- · Announce the Executive AI Strategy Briefing with the table of contents.
- · Share the single most contrarian point from the briefing.
- · Quote one paragraph that pushes back on a common boardroom assumption.
- · Walk through a one-slide summary of the briefing.
- · Post 'three questions a CFO should ask' from the briefing.
- · Share the maturity-model diagram and ask leaders to self-place.
- · Tease an upcoming companion piece on AI governance.
- · Pair the briefing with a 30-minute calendar invite for execs.
- · Quote the closing recommendation; link to the full PDF.
- · Post a one-line takeaway per chapter for the week.
Get next month's playbook in your inbox
Subscribe to receive new frameworks, content patterns, and operating-model perspectives as we publish them.
Build posts around our published frameworks
Each framework page is structured so you can quote, adapt, or screenshot it — with attribution. Pair a hook from this playbook with a framework slide.
Ready to move from pilots to outcomes?
Book a 30-minute discovery call. We'll map your highest-leverage AI and Customer Success opportunities — no slides, no fluff.