CUSTOMER EXPERIENCE • AI • AUTOMATION

Your best CSMs can't watch every customer AI can

We look at your current setup, fix the gaps and automate what makes sense.

See what we do → Book a call

Christiane Kaiser & Caroline DépierreCS meets data. Built with you.

Your data.
From different sources.

The right insights.
In your flow.

CRM

Support tickets

Product usage

Churn risk spotted#cs-alerts

Renewal in 90 daysTo: CSM Team

Create taskAccount: Global Logistics

Account brief readyFor your review

So you can
take action – faster.

What we do

We improve the CS operation you already have.

Same team.
Smarter ways of working.

Start with what's real.

Understand

We assess your processes, data, tools and workflows.

Fix what gets in the way.

Fix

We clean up what's broken, fill the gaps and connect what belongs together.

Automate where it helps.

Automate

We automate repetitive work and build AI workflows where they actually help.

Bring teams together.

Integrate

Connect Sales, CS, Support and Product around the customer — with the right data, workflows and actions flowing between them.

Where it pays off

Where we make the biggest difference.

Retention

Spot risk earlier. Act before renewal.

Connect usage, support and customer signals so your team can step in while there’s still time to change the outcome.

Before it becomes a renewal problem.

Adoption

Turn usage data into action.

See where customers are getting stuck, trigger the right playbook and help them reach value faster.

Don't just measure usage. Do something with it.

Expansion

Find growth where it’s already happening.

Connect usage, engagement and account context to uncover expansion opportunities, grow existing accounts and improve Net Revenue Retention (NRR).

This is the kind of signal a CSM wants to see.

Product

Build a bridge between customers and product.

Turn recurring customer issues and requests into clear themes, so product teams know what to fix and build next.

Customers already tell you. Make sure product hears it.

What it looks like

From customer signals to the clear next step.

The data was there.
Now it turns into action.

CUSTOMERNorvelle

Signals

3 new teams started using the product
Active seats: 72 → 94
Usage of advanced feature +38%
Contract: 100 seats

94 of 100 seats

Clear signs of growth.

Decision

Expansion opportunity

The system spotted it before renewal.

Action

Account brief prepared
Next step suggested
CSM reviews & acts

AI prepares the next step. Your team takes it from here.

How we start

Three steps. Typically 3–4 weeks each.

Step 13–4 weeks

Look at what’s there

Your data, tools, workflows and how your team actually works.

Step 23–4 weeks

Pick one thing worth fixing

We identify a workflow where better data, automation or AI can make a real difference.

Step 33–4 weeks

Build from there

We implement, test and expand what works.

“No transformation theatre. We start where it matters.”

Book your free “Map your AI Workflow” workshop now →

Case study

From scattered customer data to a scalable CS operation.

Rail-Flow had the data and tools — but no consistent way to turn them into customer decisions. We built the foundation for one way of working, better visibility and clearer ownership.

CustomersOverviewHealthRenewalsExpansionPlaybooksTasks

Customer Health

Healthy
68%At Risk
18%Needs Attention
14%

Renewals (Next 180 days)€2.4M

Accounts

AccountHealthRenewal dateNext best action

Global Logistics Co.HealthyAug 2026Explore expansion →

Metro TransportAt riskJun 2026Schedule QBR →

City Rail SystemsHealthyOct 2026Drive adoption →

TransLogixNeeds attentionMay 2026Executive outreach →

What Rail-Flow can do now

Six capabilities that weren’t possible before.

See risk & opportunity earlier

Ongoing health monitoring surfaces churn risks and growth potential.

See the revenue picture

Renewals, ARR movements and customer status in one view — without scattered spreadsheets.

Focus CS capacity

Smart customer segmentation, revenue, health status and journey stage determine where CSM attention goes.

Scale the way of working

Standardised processes, clear ownership, defined KPIs and documented playbooks.

Manage customers with intent

Kick-offs, Success Plans, QBRs and Micro Training Sessions create structured customer engagement.

Turn HubSpot into the CS source of truth

A clean data foundation for KPI tracking, forecasting and AI-supported reporting.

Where AI comes in

From signals to decisions to action.

Pull

Customer data is pulled in from existing tools and sources.

→

Process

Signals are analysed and scored by AI.

→

Act

The system recommends the next best action — your team reviews and acts.

Read the full case study →

Because good AI starts with good judgement.

Christiane Kaiser spent more than 15 years building and leading international Customer Success teams in B2B SaaS, with enterprise accounts such as Siemens, Roche, L'Oréal and Porsche. She knows which judgement calls your best people make every day.

Caroline Dépierre, co-founder of Pollup.ai, has spent her career translating data into business decisions. Together we turn that judgement into automation.

No new platform needed.Just connecting the dots of the tools you already have.

CS expertise→Decision logic→Technology→AI

More about us →