Beta program · open to a limited number of companies Post-sale revenue AI · designed, built and run by CSM Practice

Accelerate post-sale revenue with AI built on best practice.

Your renewal base already holds your next growth: price uplift, lapsed maintenance contracts, license expansion and win-backs. We redesign the post-sale motion to best practice, build the AI that finds and captures that revenue, free your team to work it, and report the results every month.

Built for account managers · customer success · renewal managers · contact centers

Led by Irit Eizips, post-sale revenue advisor to 100+ companies
LIVEPost-sale revenue engine · example accountILLUSTRATIVE
Renewal ARR secured$412,300↑ vs control group
Hours released318↑ this month
Accounts covered100%↑ from 46%
Gross revenue retention— with redesign · - - control
Activity1,284 actions this month
Example data for illustration. Not client results.

Built on twelve years of post-sale work with 100+ software and enterprise companies, including

SAP logoHERE Technologies logoNew Relic logoWind River logoBlackLine logoOptimizely logoGainsight logoBloomreach logoIntermedia logo
Why now

Your cheapest new revenue is already a customer.

40%

of new ARR at B2B SaaS companies came from existing customers in 2024.

$2.00

in sales and marketing to win $1 of new-customer ARR in 2024, up from $1.76 in 2023.

12 yrs

of post-sale best practice we build into every motion, since 2014.

Source: Benchmarkit 2025 SaaS Performance Metrics Benchmarks Report, via Maxio.

Three tracks · one post-sale revenue engine
01 · Account Coverage

Every account covered. Nobody buried in busywork.

Account managers, CSMs, renewal managers and executives lose their week to prep, reports and CRM updates, while whole segments get no attention. AI covers what doesn't need a person, takes the manual work off those who do, and releases OPEX for the roles that matter.

Measured in OPEX released, share of the book covered, hours of manual work removed
02 · Renewal

More renewals. A better renewal experience. Less manual work.

Renewals someone owns still wait on a stretched sales desk for the opportunity, the quote and the approvals. Untouched accounts, with no owner or an owner with no time, renew or lapse with nobody working them. We fix both, and make renewing easy for your customers.

Measured in renewal rate and GRR, uplift captured, lapsed contracts recovered
03 · Expansion

The upsells nobody pitches, pitched.

Expansion looks different by account size. In accounts nobody touches, usage signals, under-penetrated products and unknown decision-makers sit unworked: we find them, make the right offer at the right moment, and route bigger deals to your reps as pipeline. In your largest accounts, account managers and CSMs get into more expansion conversations, each one prepared with the whitespace, the usage story and the right buyer.

Measured in expansion pipeline, expansion ARR closed, NRR
01 / 03
What opens up

What changes when you implement with us.

Not more tools, and not faster busywork. A post-sale motion that covers every account, renews on time and grows the base, with results you can take to the board.

Outcome 01

Every account is covered

No segment goes a year without hearing from you. People own the accounts that need judgment; AI covers the rest.

Outcome 02

Renewals land on time, without the scramble

Owned renewals arrive ready, and the untouched base renews too. The sales desk stops being the bottleneck.

Outcome 03

Revenue you were leaving behind comes back

Price uplift applied, lapsed maintenance recovered, and the upsells nobody pitched turned into pipeline.

Outcome 04

Your team gets its week back

Hours of prep, chasing and CRM updates disappear, so people spend their time on relationships and success plans.

Outcome 05

OPEX released and reinvested

Budget that funded busywork pays for wider coverage or strategic roles instead.

Outcome 06

A number your CFO trusts

Revenue and hours measured against a control group and reported every month.

The idea

Most AI makes a broken process faster. We fix it, then make it faster and smarter.

We benchmark your post-sale motion against twelve years of best practice, redesign it, and then build AI into the new version.

01 · BENCHMARK

Where you stand

Your motion against best practice, and where the revenue and your team's hours are leaking.

02 · REDESIGN

The target motion

Timing, owners, hand-offs and rules, designed before anything is automated.

03 · RUN ON AI

Built and operated

Brain, agents, software and governance, run by us and reported every month.

Tracks × capabilities

A complete system, not a single bot.

Four capabilities work as one layer under all three tracks.

Account CoverageOPEX released
RenewalGRR
ExpansionExpansion ARR
Governance & Maintenance · guardrails, approvals and upkeep around everything
AI-native SoftwareWhere your team works
AI AgentsDo the work, inside your rules
AI Company BrainKnows every account
How we help

Four capabilities, one operating layer for post-sale revenue.

More revenue from the base and fewer manual hours, measured against a control group.

Capability 01

AI Company Brain

One trusted view of every account: contracts, entitlements, usage, support, stakeholders and history.

Capability 02

AI Agents

Agents that prepare, remind, recommend and follow up, inside the rules you set.

Capability 03

AI-native Software

The renewal desk, account plans and dashboards your team uses every day, built for your process instead of spreadsheets.

Capability 04

Governance & Maintenance

Guardrails, evals, approvals and monitoring, so it keeps working after the launch.

Why not build it yourself

Building the agent is the easy part. Nobody owns the number.

Teams can now ship an agent in a week. What happens after launch decides whether it pays back.

Buy another toolAsk IT to build itAsk your team to do it with AIEvery route ends with someone having to run it.
Doing it yourselfWith CSM PracticeIllustrative
Illustration: what usually happens to a self-built agent after launch, compared with a run-and-optimized one The self-built line peaks at launch and then declines as data gaps, drift and an owner moving on pile up. The managed line keeps climbing with monthly evaluations and control-group readouts. BuildLaunchMonth 3Month 6Month 12 Revenue impact Data gaps Drift & regressions Owner moves on Monthly evals Control-group readout
Doing it yourself
With CSM Practice
Who owns the number
Nobody. The builder moves on to the next request.
A pod that owns the build, the operation and the revenue result.
Upkeep after launch
Daily fixes, regressions, expiring tokens, rising API costs.
Monitoring, evals and fixes are part of the monthly service.
Data readiness
The agent reads whatever the CRM holds today.
We build the AI Company Brain first, so agents read clean data.
Demo to production
Works on a laptop. Stalls at security, SSO and integrations.
Built for production from day one, inside your security rules.
Hand-offs to people
Context gets lost when work passes back to your team.
Hand-off rules and approvals designed in, with autonomy earned.
Proof of revenue
Hours saved. Budgets stall at renewal time.
Revenue measured against a control group, reported monthly.
From teams that built it themselves
On the record
“The hard part is the maintaining.”
Aurelia Pollet, CarParts.comOn rebuilding their support stack with AI agentsListen to EP012 →
On the record
“There is no set-and-forget.”
Jason Lemkin, SaaStrAfter building SaaStr’s own AI VP of Customer SuccessListen to SaaStr #849 →
In summary
Two years on the data foundation before the AI could use it.
Mark Vovsi, ProofpointOn why data hygiene, not AI, is the real blockerListen to [Un]Churned #205 →
Episode title
“Why most AI in customer success stays on a laptop.”
Jeff KushmerekOn the gap between a working prototype and production: hosting, VPN, SSO, integrationsListen to the episode →
Analyst view
40%+of agentic AI projects will be cancelled by the end of 2027
“Most agentic AI propositions lack significant value or return on investment.”
Anushree Verma, GartnerGartner press release, June 2025Read the release →

Quotes and summaries are from public podcasts and releases. The people and companies named are not CSM Practice clients and do not endorse us.

The Post-Sale AI Stall Map

The six ways post-sale AI stalls, and the fix for each.

From a CSM Practice review of 45 documented post-sale AI implementations and 32 practitioner interviews, 2026.

Stall 01

Upkeep never ends

Agents drift, models change and integrations break.

Fixed by: Governance & Maintenance
Stall 02

The data isn't ready

Contracts, usage and support live in five systems.

Fixed by: AI Company Brain
Stall 03

Demo ≠ production

The pilot works on ten accounts and stalls on ten thousand.

Fixed by: AI Agents
Stall 04

Hand-offs break

AI and people pass work back and forth without context.

Fixed by: AI-native Software
Stall 05

No revenue proof

Activity counts instead of measured lift.

Fixed by: Control groups and monthly reporting
Stall 06

Nobody owns it

IT built it, the business uses it, nobody runs it.

Fixed by: The deployment pod
Deployment pod

A deployment pod that sits with your revenue team.

Makes it matter

Post-sale strategist

Sets the target motion, the KPIs and the business case, and leads adoption with your revenue and customer-facing teams.

Makes it work

Forward-deployed AI engineer

Connects your CRM, contracts, support and usage data, and builds the agents and software.

Keeps it working

Revenue operator

Monitors, tests, tunes and reports results every month.

Working sessions with client leadership teams
Earned autonomy

AI that earns its autonomy.

Each motion starts in Assist, moves to Supervise, and reaches Automate only after it clears agreed accuracy, compliance and revenue gates.

Always on: you approve every customer-facing message, every motion has a kill switch, and every action is logged.
LEVEL 1

Assist

AI prepares, drafts and recommends. People decide and send.

LEVEL 2

Supervise

AI acts within set limits. People monitor and step in on exceptions.

LEVEL 3

Automate

AI runs the motion end to end. People set the policy and review results.

What clients say
CSM Practice was the unbiased third party we needed to get a frank assessment of what we did well and where there were gaps in our strategy.
Sandra CasheSandra CasheChief Customer Officer, VeriforceVeriforce logo
Top notch consultants tell you what to do, but CSM Practice tells you how to put it into practice too.
John FakatselisJohn FakatselisCOO, Accent Technologies
We immediately saw a difference in how receptive customers were to the value CSMs bring to their business.
Disha GosaliaDisha GosaliaVP Customer Success, New RelicNew Relic logo

Quotes are from CSM Practice consulting engagements. The AI service is new; beta clients will produce its first published results.

Who you'd be working with

Twelve years building post-sale revenue engines. Now we build them on AI.

Irit Eizips founded CSM Practice in 2014 as a firm dedicated to post-sale revenue: renewals, expansion and retention. She has designed and rebuilt the post-sale function at more than 100 B2B SaaS and enterprise software companies, from first-CS-hire startups to SAP.

Before that she was on Gainsight's early team, running executive discovery with about 200 leaders on churn, adoption and expansion while the customer success category took shape. Earlier work in data warehouse architecture and BI means she reads the data model, not just the dashboard.

100+

software and enterprise companies advised

2014

CSM Practice founded

25

industry accolades

CX Hall of Fame inductee · Top Customer Success Strategist of the Year, IAOTP 2024 · Top 25 Customer Success Influencers 2023 · Judge, Customer Success Excellence Awards · Host, The Customer Success Podcast (135 episodes)

Irit Eizips, founder and CEO of CSM Practice
Irit EizipsFounder & CEO
Is this for you?

Who this is for, and who it isn't.

A good fit

  • Post-sale teams with hundreds of accounts or more
  • Renewals and expansion that drive the forecast
  • A revenue or post-sale leader who owns the number
  • CRM and contract data we can get read access to

Not a fit

  • Teams with no access to CRM data
  • Looking for a chatbot or a single tool
  • Wanting AI without changing how the work is done
What happens next

Three steps from application to pilot.

STEP 130 min

Apply and a fit call

Tell us about your team. We check that the workshop is worth your leaders' two hours.

STEP 22 hours

Strategy workshop

Your leaders and ours at a whiteboard. You leave with a business case.

STEP 3~90 days

Blueprint & pilot

If the case holds, we scope Phase 1 and prove it on one segment against a control group.

Approach

From blueprint to production to a revenue number your CFO trusts.

We start small, prove ROI against a control group, then expand. Each phase ends with a gate you sign off before the next one starts.

PHASE 01~4 weeks

Strategic Blueprint

Pick the motion worth fixing first, and prove the case before anything is built.

Gate: CEO/CFO approve the business case.
PHASE 02~6–8 weeks

Build

Redesign the motion, then build the AI into it.

Gate: Accuracy and compliance checks passed on real data.
PHASE 0360–90 days

Launch and measure

Into production for one segment, measured against a control group.

Gate: Agreed revenue or capacity target met.
PHASE 04quarterly

Expand

More accounts, more teams, the next track.

PHASE 05ongoing

Run, optimize and maintain

We keep it working, and keep improving it.

You keep every customer relationship and every commercial decision. We own the build, the operation and the number.

Questions executives ask first

FAQ.

Who is a good fit for the beta?

Post-sale teams with hundreds of accounts or more, renewals and expansion that drive the forecast, a revenue or post-sale leader who owns the number, and CRM and contract data we can get read access to.

What happens after I apply?

We reply within one business day to set up a 30-minute fit call. If it's a fit, we book the 2-hour Post-Sales AI Strategy Workshop with your leaders.

What do you need from us before the workshop?

One hour with us beforehand to align on logistics, the agenda and who should be in the room.

What happens after the workshop?

You get an executive-ready deck within 3 business days. If the case holds, we run the Strategic Blueprint and a pilot on one segment, measured against a control group.

Is this software or a service?

Both. We redesign the post-sale motion, build the AI and the tools into it, and run it for you, reporting results every month.

Will AI talk to my customers without approval?

No. You approve every customer-facing message, every motion has a kill switch, and autonomy grows only after agreed accuracy and compliance gates.

Is the workshop remote or on site?

Either. It runs on a whiteboard, physical or digital.

CSM PracticeBeta program

Apply to be a beta client.

Work directly with our founding team on your post-sale revenue motion. Every beta client starts with a 2-hour Post-Sales AI Strategy Workshop, where we size the opportunity and decide together whether a pilot makes sense.

Starts with a 30-minute fit call and a 2-hour strategy workshop with your revenue and post-sale leaders

25 accolades · 100+ companies since 2014

Beta program · Post-Sales AI Strategy Workshop

Apply for a Post-Sales AI Strategy Workshop. See if your team qualifies.

A hands-on, two-hour working session with your revenue and post-sale leaders, run on a whiteboard. You build the numbers with us, so the business case is yours when you take it to your executive team.

2 hoursYour revenue & post-sale leadersOn site or remote
Apply now ↓

You walk away with:

  1. Your 12-month outcomes: with numbers.
  2. A map of where your team's time goes: task by task and role by role.
  3. An opportunity map: every recurring task tagged automate, AI-assisted or human, with the hours it frees.
  4. Your revenue upside, lever by lever: price increases not applied, lapsed maintenance contracts, license expansion, win-backs.
  5. Hire vs. AI project: cost, time to first result and coverage, side by side.
  6. Phase 1 scope: the two or three use cases with the best mix of value and reachable data.
  7. An executive-ready deck: we draft it from what's on the wall within 3 business days.
How the two hours run
  • Result · Where you want to be in 12 months
  • Reality · Where your team's hours and renewal revenue actually go
  • Problems · What's slowing you down, in your words
  • Opportunity map · Each task tagged: automate, AI-assisted, or stays human
  • ROI · The upside, lever by lever, against the cost of doing nothing
  • Plan · The first use cases and the path to approval

You leave with a business case your executive team can approve, built from your own numbers.

See if you qualify

Tell us about your team. We reply within one business day to set up a 30-minute fit call.

We use your details only to reply about the beta program. Privacy policy

25 accolades · 100+ companies since 2014