Truemann doesn't just advise — it does the work. From first sales call to renewal, it spots what matters, shows you the evidence and acts on it. Your team steps in only when judgement is needed.
Ready for up-sell — seat limit hit in 3 teams.
Evidence
Triage
Expansion playbook started: CSM and AE briefed on the outcome case, joint call proposed for next QBR
Confidence: Medium-high
Go-live slipping — integration blocked.
Evidence
Triage
Unblock sequence sent; escalated to solutions engineer
Confidence: High
Renewal at risk — flagged 94 days before contract end.
Evidence
Triage
Save play live: CSM brief ready, exec call booked Tue 10:00
Confidence: High · 3 independent signals
Each team holds one slice of the account. What sales promised, customer success never hears.
CRM, CS platform, product data, billing, tickets — all present, none joined up.
Renewals arrive as surprises and expansion happens only when someone remembers.
Truemann sits on top of your existing tools. It replaces the hand-offs between teams, not the systems themselves.
Truemann qualifies, routes and schedules meetings end to end.
Context transferred, onboarding triggered, all parties notified.
Plans, sequences and unblocks the implementation; humans handle exceptions.
Triggers in-app guidance, mail or CSM alerts based on usage patterns.
Holds the account position and prepares every conversation.
Risk predicted 90+ days out, save play triggered, terms negotiated.
Scores expansion readiness and opens the conversation at the right moment.
Identifies, targets and converts — suppressed where profitability is weak.
Maintains the plan, the map and the business case between reviews.
Triages, resolves, confirms and closes; escalates only complex issues.
Calculates metrics, detects anomalies and explains the movement.
Fully adaptive journey; a human appears only where it changes the outcome.
When Truemann raises an account, it tells you why, shows the data behind it and recommends the next move.
What is true right now, stated plainly.
What it is drawn from, with sources you can open and read.
Which model interpreted the evidence, and what it says about this pattern.
What to do, and what the evidence says about whether it works.
How sure, and what would change the answer.
One discovery session. We map where revenue leaks and choose the two or three workflows that will move the numbers most.
A paid engagement. We connect your data, move the chosen workflows onto Truemann and train it on your accounts. Calibration takes six to eight weeks; results follow.
Truemann runs the workflows day to day. You pay monthly, tied to revenue, and add more stages as it proves itself.
+15–20pt
NRR within 12 months
40%+
CSM capacity freed
90 days
To workflows in operation
1%
Of ARR, once it runs
The Economist Enterprise surveyed 1,221 senior technology and data leaders in 2026. Its conclusion: the limit on AI is the organisation around the models, not the models themselves.
~40%
of firms formally track AI's business impact, though 80%+ say it beats expectations
58%
take 7–12 months to get an AI idea live; only 4% do it in under 3
39%
review AI after go-live — when models actually drift
<50%
of firms running agents mandate formal governance for them
Three core scores for every stage, checked against The Economist's nine capacities for AI that delivers.
How many of the twelve stages it covers.
How much it does without a human — from 1 (manual) to 5 (autonomous).
How often it's right — from 1 (under 50%) to 5 (95%+).
Scored against the nine capacities
Every workflow is tied to a revenue metric — NRR, churn, expansion — and measured against it.
Joins CRM, billing, product usage and tickets into one account view, with sources traceable.
Two to three workflows live in 90 days, not the 7–12 months most firms need.
Works inside the CRM and tools your team already uses — no extra screen.
Oversight continues after go-live: every action logged, every agent switchable off.
Clear split of what the agent does, what humans do, and what they do together.
Plain-language answers with evidence, usable by any CSM or AE without training in AI.
Explicit owners for deciding, running and funding — priced at 1% of ARR.
Defined autonomy levels per stage; financial or contractual actions need one human click.
Source: “Making AI Deliver”, Economist Enterprise, May 2026
Eighteen years leading customer success and revenue in B2B SaaS. As EMEA Director of Customer Success, cut churn by 15%. Served as EMEA Regional VP, and grew consulting revenue by over 40% across a global enterprise software portfolio. MBA, Oxford Brookes.
LinkedIn →Revenue leadership across DACH, the Nordics and the UK — where post-product-market-fit SaaS companies feel the lifecycle problem most.
LinkedIn →The diagnostic is free and you keep the findings. We reply within one business day.