Tag Archives: Innovation

AI will not fix your Customer Success model – it will expose it

The wrong AI question in Customer Success

Most SaaS companies are asking how AI can make CS more efficient.

The better question is what broken post-sale process they are about to automate.

  • AI makes weak post-sale execution more visible
  • Unclear onboarding becomes faster confusion
  • Poor sales handoffs become cleaner-looking ambiguity
  • Activity-based CS becomes automated noise
  • Weak ownership becomes harder to hide
  • Efficiency is only useful when the model is right

Faster is not automatically better.

AI can help CS teams move faster, but only if the work is pointing at realised customer value.

What an AI-ready CS model needs

  • Clear customer outcomes
  • Faster time to value
  • Better handoffs
  • Value-based health signals
  • Commercial accountability

The real opportunity

The winners will not be the companies that automate the most.

They will be the companies that redesign post-sale around value first, then use AI to scale what works.

Before you automate CS, fix the model

I help B2B SaaS companies fix the gap between what is sold, what is delivered and what customers actually achieve. If retention, expansion or AI-enabled CS is on your leadership agenda, this is the work to start with.

See how I help SaaS companies improve retention, expansion and customer value.

Most SaaS Companies Don’t Need A Bigger Customer SuccessTeam

Why Hiring Another CSM Rarely Fixes Churn

Most SaaS companies respond to churn the same way.

They hire…

  • Another CSM
  • Maybe a Head of Customer Success
  • Sometimes a VP

It feels like progress, but it rarely fixes the real problem.

Because churn is not always a capacity issue.

More often, it is a design issue .

Infographic to download and save below…


The Real Problem

If your customer success function is not clearly driving retention and expansion, adding more people usually creates more activity.

More calls
More QBRs
More dashboards
More internal updates

But not necessarily better outcomes and often, no clear link to revenue.

That is where many SaaS companies get stuck.

They build a bigger customer success team before they have built a proper customer success model.


Where A Customer Success Advisor Fits

A customer success advisor does not simply add more hands.

They help fix the operating model.

That usually means:

  • defining what customer value actually looks like
  • aligning sales, customer success and product around that value
  • building a repeatable system for retention and expansion
  • creating earlier visibility of renewal risk
  • making customer success commercially accountable

This is not about doing more.

It is about doing the right things consistently.


The Pattern I See Repeatedly

Across SaaS companies, the pattern is often the same.

  • Sales sells one version of value
  • The customer expects something slightly different
  • Customer success tries to bridge the gap
  • Product is not always close enough to what is happening after the sale
  • Leadership only sees the issue when churn appears

By then, the problem has usually been building for months.


Why This Matters Now

AI is making this more obvious.

It is now easier than ever to:

  • automate activity
  • generate insights
  • scale customer outreach
  • produce reports
  • identify signals

But none of that fixes a broken model.

In fact, AI can make the problem worse.

If the customer success model is unclear, AI simply helps you scale unclear work faster.

That is not transformation. That is organised noise.


What Good Looks Like

When customer success is working properly, the business feels different.

Retention becomes more predictable.

Expansion becomes systematic, not opportunistic.

Customer success has a clear commercial role.

Sales, product and CS are aligned around the same customer outcomes.

Leadership trusts the numbers because the numbers connect to reality.

That is the shift from customer success as support to customer success as a growth engine.


Practical Takeaway

Before hiring another CSM, ask one question:

Do we know exactly how customer success drives revenue in our business?

Not in theory.

In practice.

  • By segment
  • By customer stage
  • By renewal risk
  • By expansion opportunity
  • By measurable value delivered

If the answer is not clear, another hire will not fix it.

It may simply make the current problem more expensive.


Final Thought

If you are trying to improve retention or make customer success more commercially accountable, the real work usually starts before the next hire.

It starts with the model.

The team can only scale what the business has designed properly.

👉 Customer success advisor

AI has already arrived in Customer Success, the question now is what we do with it?

AI isn’t coming for Customer Success jobs. It’s already here.

Most of the work we used to treat as essential has quietly moved into the background.
Health scores. Renewal reminders. Basic check-ins. The admin that once filled our days is now handled by systems that never get tired.

And that’s a good thing.

Because it forces us to confront something the industry has avoided for too long. The value of a CSM has never been in tasks. It’s always been in thinking.

AI in customer success.


The Shift Nobody Can Ignore

As automation expands across the customer journey, the gap between activity and impact gets wider. CS teams that still define value by volume will struggle. Teams that define value by commercial thinking will thrive.

In 2025, every CSM needs a commercial mindset. Not to sell. But to understand the economics behind every customer conversation.

That’s the real shift.


Why Commercial Thinking Matters

The best CSMs already know the answer to one simple question:

How does our product make this customer more successful in a measurable way?

  • They understand margins
  • They understand cost savings
  • They understand how technology changes the economics of a customer’s business

They talk about return not renewal. Impact not activity. Value not volume.

And that’s where AI draws a sharper line than many expected.

If you’re looking at how AI fits into customer success more broadly, this guide to AI in customer success breaks it down.


Automation Doesn’t Replace Judgment

AI can process. It can surface insights. It can flag risk.

But it can’t replace partnership, judgment or business acumen.

These are the skills that turn a CSM from a task executor into a strategic operator. These are the skills that get Customer Success a seat at the table. And these are the skills that AI only makes more important, not less.


The New Line Between Replaceable & Essential

As more of the workflow becomes automated, the industry is heading towards a split. Not between junior and senior roles. But between replaceable and essential roles.

Replaceable roles cling to tasks. Essential roles understand the customer’s economics and use that understanding to guide decisions.

That’s where the profession is heading. And it’s where the opportunity lies for every CSM who wants to build a durable career as AI scales.


Here’s The Real Question

If Customer Success wants to evolve, it has to speak the language of business, not tasks. It has to show how decisions drive outcomes, not how many activities got logged.

And that means one thing.

Every CS leader needs to help their teams build commercial muscle.

Every CSM needs to learn how to anchor conversations in value.

And every organisation needs to decide whether CS will be a cost centre or a growth engine.

AI has already changed the role. Now it’s on us to decide what Customer Success becomes next.

How are you helping your team develop that commercial edge this year?


Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.

Customer-Led Growth: Why the Best Companies Now Grow with Their Customers

Growth models come and go.

For years, companies believed success came from selling harder, marketing louder or building flashier products. But something fundamental has shifted in how growth actually happens and the smartest organisations are responding.

That shift is what we call Customer-Led Growth (CLG).

It’s not a buzzword. It’s a structural change in how businesses grow and how customers expect to be treated.


How We Got Here

If you zoom out over the last two decades, you can see a clear evolution in how companies approached growth:

  • Sales-Led Growth (SLG): The old world of cold calls, quotas and closing deals – growth depended on the size and skill of the sales team

  • Marketing-Led Growth (MLG): Then came the era of brand and lead generation – marketing became the growth engine, filling the top of the funnel with demand

  • Product-Led Growth (PLG): The SaaS revolution flipped things again. Users could try before they buy and the product itself became the salesperson, think Slack, Zoom or Notion

Each of these models worked in its time. But as markets matured and customers gained power, the economics changed.

Acquisition costs rose. Switching costs fell. Buyers became more informed, more connected and far less patient.

The next evolution – Customer-Led Growth – isn’t about selling to customers at all. It’s about growing with them.


What Customer-Led Growth Really Means

Customer-Led Growth is simple in principle – your growth comes from helping customers achieve the outcomes they care about most.

When customers succeed they:

  • Stay longer (reducing churn)
  • Buy more (expansion revenue)
  • Tell others (advocacy).

That creates a compounding loop of growth powered not by marketing spend or sales pressure but by real, measurable customer value.

In plain English: you win because your customers do.

Imagine pushing a heavy car up a hill (sales-led). Exhausting. Then imagine cresting the top, and gravity takes over – the car starts rolling itself (customer-led). CLG is that gravity: momentum created by genuine customer success.


The Problem CLG Solves

For years, companies have measured the wrong thing. They’ve obsessed over acquisition metrics – leads, MQLs and pipeline coverage – without real proof that customers were succeeding after the sale.

The result?

Leaky buckets. Growth targets met one quarter, lost the next.

Customer-Led Growth changes the operating model. It forces teams to answer harder questions:

  • Are our customers realising value from what we’ve sold?
  • Can we prove it?
  • How quickly can we identify and fix friction before it becomes churn?

That shift changes how every team works – not just Customer Success.

Product, marketing, sales, support and leadership all align around one core idea – sustainable growth depends on recurring, compounding customer value.


A Quick Bit of History

The roots of CLG stretch back to three movements that collided over the last 15 years:

  1. Relationship marketing: The idea that long-term customer relationships are more profitable than one-off transactions.

  2. Customer Success: Born in SaaS, it turned retention into a discipline rather than an afterthought.

  3. The “Jobs To Be Done” framework: Focused on understanding what customers are really trying to achieve, not just what they’re buying.

Combine these and you get the foundation of Customer-Led Growth – listen deeply, deliver measurable outcomes and feed that insight back into the business.


The Early Pioneers

Several companies quietly pioneered CLG before the term existed:

  • HubSpot built its “flywheel” model around customer advocacy rather than lead funnels

  • Salesforce scaled Customer Success as a growth engine, not a support function

  • Adobe restructured its business from selling software licences to measuring active usage because usage equals value

  • Atlassian let its customers sell for them by creating self-serve journeys and community-driven growth

Each realised the same truth – the most reliable growth doesn’t come from new customers, it comes from the success of existing ones.


Why Now

Several forces are making CLG not just smart but essential:

  • Economic pressure: It’s now 5-7 times cheaper to keep a customer than acquire a new one

  • Market saturation: In SaaS and tech especially, buyers have near-infinite choice and differentiation comes from outcomes, not features

  • Data and AI: Companies can now see exactly where customers succeed or struggle and can act before they churn

  • Changing buyer psychology: Customers expect partnership, not persuasion, they want proof of value, not just promises

The modern customer isn’t looking for a vendor. They’re looking for a co-pilot and long term partner.


The Core Principle

Customer-Led Growth rests on one idea: Growth is the natural by-product of customers being  successful.

That sounds obvious but operationalising it is hard.

It means:

  • Success teams measured not on happiness (NPS) but on value realisation
  • Sales comp plans tied to long-term retention, not short-term bookings
  • Product roadmaps prioritising customer outcomes, not internal politics

It’s not a campaign. It’s a culture.


Takeaway

Customer-Led Growth isn’t about being nicer to customers. It’s about building businesses that last. When customers see clear, measurable success – they don’t just renew. They expand, advocate and bring others with them.

That’s growth you can trust – because it’s built on proof, not persuasion.


Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.

Customer Success Isn’t About Hand-Holding

Customer Success isn’t about keeping customers happy at all costs – it’s about helping them win.

Too many teams still blur the line between Customer Service and Customer Success – and it’s easy to see why. Without clear leadership and focus, CS teams can slip into reactive mode, spending their days firefighting rather than driving value.

Let’s break that difference down.


Service vs. Success

Service is (generally) reactive: It’s ticket queues, problem-solving and keeping the lights on – as break-fix. It’s essential – but it’s not enough to retain or grow your customers. That’s not to say we can’t still engage further with customers through support, but it’s not the primary role.

Success is proactive: It’s about adoption, outcomes and delivering measurable value. When a CSM helps a customer achieve their business goals, they’re not fixing – they’re enabling.

That’s where Customer Success earns its place in the boardroom.


From Cost Centre to Strategic Growth

When boards see Customer Success as a cost centre, it’s usually because the team looks like support – reacting to issues, measuring activity, not impact.

But when they see it as revenue protection, everything changes.

Customer Success becomes a growth lever:

  • Retention strengthens
  • Net Revenue Retention (NRR) rises
  • Expansion becomes predictable

The real shift is mindset – from service delivery to value creation.


The Bottom Line

Customer Success isn’t about hand-holding. It’s about accountability, influence and impact.

The best leaders are those who connect outcomes to revenue = turning support functions into strategic growth engines.


Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.

The Future of Customer Success with AI: Why Human + Machine Wins Every Time

The era of reactive Customer Success – firefighting churn and hoping renewals stick – is well and truly over. We’re entering a new phase where AI becomes a force-multiplier for CS teams.
And yes, it means some uncomfortable shifts for us – here’s what that means.

From Operations To Strategic Growth

Many CS teams still run like service desks – onboarding, adoption monitoring, renewals.
But with the AI tools now available, that model’s outdated.

AI helps you:

  • Spot early churn signals before it’s too late
  • Surface expansion opportunities inside existing accounts
  • Turn data from reporting to revenue-shaping

Infographic showing "The AI-Powered Customer Success Flywheel" - how data, insight, action, value, and retention form a continuous loop.

I explore this shift further in AI and customer retention value, where we look at how predictive data models are changing renewal strategy and growth forecasting.

My take: If you’re still tracking logins as a measure of success, you’re playing last decade’s game. Start measuring expansion rate, health-score movement and churn proactively averted.


The Hybrid Human & AI Dynamic

Let’s settle it: AI won’t replace CSMs. It will redefine them.

  • Low-touch accounts will be handled by automation
  • High-value accounts will get human, strategic focus

AI clears the admin noise so CSMs can focus on relationships, outcomes and (measurable) value creation.

This kind of shift demands new leadership models – I break that down in fractional leadership in Customer Success, including how part-time senior leaders can scale AI adoption faster than traditional org structures.

My take: Future-proof your role by mastering adoption analytics, customer value mapping and data-driven storytelling. The check-in and help model is over.


Hyper-Personalisation At Scale

AI makes it possible to deliver personalised experiences at scale. From predictive onboarding to sentiment-based renewal timing – your customers now expect it.

Diagram comparing AI automation and human CSM roles - "Let AI handle volume. Let humans handle value."

Examples:

  • Predict which onboarding path works best for a specific persona
  • Trigger interventions based on real-time usage or sentiment
  • Tailor renewal outreach to context, not template

My take: The winners in 2026 will treat every customer – even low-tier ones – as growth potential. AI gives you that lever.


Ethics, Governance & Trust

With power comes responsibility. AI in CS isn’t just about dashboards and prediction models – it’s about trust.

Guardrails matter:

  • Be transparent when AI is acting on behalf of your team
  • Audit outputs for bias or unfairness
  • Protect data and get explicit consent where needed

My take: Without governance, your AI strategy becomes a liability. Treat ethics as part of your operating model – not an afterthought.


The Next-Gen Playbook

Focus Area What to Do
Start with small wins Pilot churn prediction or personalised onboarding
Build your data foundation Standardise usage, sentiment, and engagement metrics
Redefine roles Upskill CSMs in data literacy and strategy
Scale intelligently Use AI for volume; use people for value
Govern everything Audit outputs, define KPIs, track both efficiency and outcomes

Many organisations need outside perspective to implement this playbook. My Customer Success advisory and consulting services help define those AI-enabled strategies and operational changes.


Closing Thoughts

If you treat AI as optional, you’ll fall behind. AI isn’t here to replace Customer Success – it’s here to amplify it.

Let machines handle volume. Let humans handle value.

That’s the model of the future.

For more real-world conversations on AI, growth, and leadership, tune in to the Breakthrough SaaS Growth with The Jasons podcast.


Sources


Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.

Customer Success: The Growth Lever Most Founders Still Undervalue

For years, growth meant acquisition. Sales targets ruled. Marketing filled the funnel. The faster you won customers, the faster you scaled.

But the SaaS model changed the maths. When revenue depends on renewals, growth isn’t just about winning new business – it’s about keeping and growing it.

Every founder eventually realises: acquisition fuels headlines, retention fuels valuations.

That’s where Customer Success comes in.

What Customer Success Really Does

Customer Success isn’t a support function or a post-sales box-tick. It’s the engine that drives sustainable growth.

What customer success means for founders.

What customer success means for founders.

Its job is simple: make sure customers achieve measurable outcomes, fast. When they do, they renew, expand and advocate. When they don’t, churn rises – and so does your cost of acquisition.

In other words, Customer Success protects your revenue base and amplifies lifetime value.


Why It Matters More Than Ever

In today’s market, investors are rewarding efficiency over expansion. The companies outperforming their peers aren’t adding headcount or spend – they’re maximising value from existing customers.

Customer Success is how they do it.

  • It turns data into foresight – spotting churn before it happens

  • It aligns teams around value, not activity

  • And it makes renewals predictable, not painful

This is what separates sustainable growth from growth theatre.


What It’s Not

  • It’s not customer service: CS doesn’t wait for problems, it prevents them.

  • It’s not a cost centre: Done right, it’s a profit multiplier.

  • It’s not a SaaS-only concept: Any business with recurring customers can apply it.


The Bottom Line

Customer Success isn’t about being nice to customers. It’s about being smart with capital. If your go-to-market still ends at the sale, you’re leaving margin, advocacy and predictable growth on the table.

The best founders already know: Customer Success isn’t a department. It’s the strategy.


Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.

AI Didn’t Rewrite Customer Success – It Rewired It

For years, we’ve obsessed over dashboards – health scores, usage data, adoption charts and a lot more.

All useful, but all missing something – and something super important for both our customers and us.

AI’s pulled the rug a bit. It’s made us look past the numbers and ask a harder question – what value do customers actually feel?

That’s where the real work is now. The tech can show us what’s happening, but only people can explain why it matters. Only people can connect the dots between insight and impact.

It’s not that Customer Success has become easier. Far from it. The job’s getting sharper. More strategic. Less about coverage, more about clarity.

I’ve always said data without context is noise. AI has turned up the volume.

If you’re looking at how AI fits into customer success more broadly, this guide to AI in customer success breaks it down.

And that’s the shift smart CS leaders are already leaning into – where human judgment becomes the real competitive edge.

If you’re looking at how AI fits into customer success more broadly, this guide to AI in customer success breaks it down.


Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.

What Home Renovation Taught Me About Leadership & Customer Success

Change the space – keep what matters

My home office is mid-renovation, so I’ve temporarily moved into my daughter Sophie’s old room. She’s safely back at university – no clashes over desk time.

It’s a change of scene, but not without a few familiar touches.

The Lego Saturn V, ISS, Lunar Lander and Death Star sets all came with me.

They’ve been dusted off and now stand proudly in the new temporary setup.

Lego in room

Lego in room


Change Is Healthy

Sometimes, a change of environment resets your perspective. A fresh backdrop brings fresh ideas. The small shake-ups matter. They remind you that disruption isn’t something to fear – it’s often what unlocks progress.

Reno in action


Keep What Inspires You

Those Lego builds aren’t just decoration.

They’re reminders of creativity, patience and problem-solving – the same traits that drive good leadership and customer success.

Whatever your workspace looks like, keep the things that inspire you within sight. They anchor your thinking when everything else is shifting.

Keeping this Lego and the rest


Customer Success In Real Life

The decorator doing the heavy lifting has worked with us for over 20 years.

That’s what real customer success looks like: consistency, quality service, the expected outcomes, trust and mutual respect.

The best partnerships – at home or at work – are the ones that last because both sides keep showing up.


The Takeaway

  1. Change the space
  2. Keep what matters
  3. It’s true for offices, teams and strategies alike

Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.

Customer Success Trends That Matter in 2025

Everyone’s talking about AI, automation, and customer data. But here’s the reality: it’s no longer about data – it’s about decisions.

The best Customer Success teams in 2025 aren’t drowning in dashboards. They’re using insight to make faster, smarter moves that drive measurable value.

Let’s break down the three trends that really matter this year…

AI-driven Onboarding

AI isn’t replacing onboarding – it’s personalising and simplifying it. The new wave of CS platforms can map customer intent, predict setup friction and automate the right nudges before humans even step in.

The impact?

  • Faster time to value

  • Lower early-life churn

  • CSMs free to focus on higher-value conversations

Companies getting this right blend automation with empathy – AI handles scale, humans deliver trust.


Predictive Churn Models

Predictive analytics have matured. In 2025, they’re no longer just nice-to-have. CS teams now combine usage data, sentiment, and behavioural signals to spot churn before it happens and to decide which interventions matter most.

The shift isn’t technical. It’s cultural.

It’s about moving from “why did we lose them?” to “how do we keep them?”.


Value-Based Renewal Plays

Renewals aren’t transactions anymore – they’re validations of value. Leaders are tying renewal motions to quantified customer outcomes, not generic success stories.

That means:

  • Shared success plans

  • ROI tracking baked into customer value reviews

  • Cross-functional alignment with sales, engineering, marketing and product

It’s how SaaS companies turn retention into their growth engine.


The Bottom Line

Customer Success in 2025 is about decision intelligence – using the right signals to act faster, retain longer and grow smarter.

It’s not about having more data. It’s about making better decisions with it.


Want To Go deeper?

If you’re thinking about retention, expansion or how AI fits into your strategy, I work with a small number of SaaS companies on exactly this.

👉 If you’re rethinking your approach, let’s talk.