FOUR WEEKS
Audit
Where AI pays off
A euro figure on every use case, with the maths visible, and a working prototype on your real systems.
How it works
The AI audit: how we deploy AI in your company.
PromptPartner deploys AI in mid-sized and larger companies in Europe. We start with a four-week AI audit, also called an AI readiness assessment. Then the use cases go live, and your team learns to use them.
For companies in any industry, from about €50 million to €500 million in revenue or ARR. One method for every client.
Four weeks
to the audit readout
€2.07M–€3.0M
value created a year, in a recent example
Chat → agents
work done in your systems
01The method
AUDIT · SECURE · LAUNCH · SCALE · OWN
Four weeks to know where AI pays off. You can stop there. Or you choose: the Foundational Enablement Programme, or a scoped project.
AUDIT
SECURE
FOUNDATION
Secure
The rules
Legal, IT and your brand team set the rules once. Your data stays where it is.
LAUNCH
WEEKS
Launch
First wins
The first agents go live in the systems your team already uses.
SCALE
MONTHS
Scale
More teams
Then more teams, on the same rules: Legal, Finance, HR, R&D, Manufacturing.
OWN
ONGOING
Own
Your team runs it
Your people use what we build. We keep it running and add the next use cases.
02See it working before you decide
The AI audit: four weeks.
PromptPartner’s AI audit takes four weeks and has a fixed price, set by the size of your company and by whether the audit covers one department or several. We talk to your leaders, put a euro figure on every use case with the maths visible, build a working prototype, and present the readout. Six deliverables, from the AI Value Canvas. You can stop after the audit. Read the guide: what an AI audit is, what it costs, what you get.
Discover
Talks with your leaders and the teams that do the work. What they do by hand, step by step.
Score
Every use case on impact × difficulty. Each score has an owner.
Prototype
A working prototype on your real systems. You see it before you decide.
ROI model
A euro figure, four ways, with the maths visible. Your CFO can check every line.
Roadmap
Quick wins first. Then the rest, in order.
Board case
Built on your numbers. What waiting costs, in euros.
037 impact factors, 7 difficulty factors
How we rank.
Every use case scored on impact and difficulty. Quick wins first. Each score has an owner. The same model every time, and no black box.
Impact
QUICK WINS
1
2
3
4
5
6
7
LowHigh
Difficulty
- 1Account research
- 2Daily briefing
- 3Customer follow-up
- 4Dashboards for every seat
- 5Outreach engine
- 6Forecasting assist
- 7Self-serve lane
Illustrative, from sales. The same scoring works for any team. On the reference engagement, 36 opportunities were scored.
Business impact · 7
- Revenue lift
- Cost reduction
- Time saved
- Risk mitigated
- Customer experience
- Strategic fit
- Team morale
Difficulty · 7
- Data availability
- Integration complexity
- Change management
- Tech dependencies
- Compliance and legal
- Skill gap
- Time-to-value
Impact ▲
Do now
High impact, low difficulty
Phase 2
High impact, high difficulty
Roadmap
Low impact, low difficulty
Skip
Low impact, high difficulty
Difficulty ▶
04Value, four ways
Most only count what they save. We count all four.
The audit puts a euro figure on four kinds of value, not one. Your board sees the whole number, with the maths.
01
Save
Hours saved times what those hours cost, plus spend you avoid.
02
Earn
More revenue: faster follow-up, more pipeline, new accounts found.
03
Brand
Every customer gets the same quality, in your voice.
04
Data
Cleaner, structured data that every later use case builds on.
The canvas behind the audit. Run it yourself in about 90 minutes.
05The four weeks
Who we sit with, and when.
- Before · ScopeNDA on your paper. Talks in the calendar.
- W1 · KickoffFirst talks with your leaders.
- W2 · SessionsEvery manual step written down.
- W3 · ScoringA euro figure on every use case. Prototype build starts.
- W4 · ReadoutWorking prototype. Readout. You decide.
Roles and dates change per client. The four weeks do not.
06The reference case
We show you the maths, not a promise.
11
discovery sessions, at a €100M ARR software company
36
opportunities scored
€2.07M–€3.0M
value created a year, floor to all-in
Fixed price
A fixed price and a fixed scope. No day rates.
Your decision
What comes after the audit is a separate decision, made with the numbers in your hand.
Your data, protected
We work under your NDA. Personal data is sorted in week 1 and stays under your control.
07After the audit
Then the use cases go live, one release at a time.
PromptPartner’s standard programme, the Foundational Enablement Programme, rolls out Claude Enterprise or ChatGPT Enterprise on a governed foundation, with use cases for one department and training for your team.
- Spec sprintScope and sequence.
- R0Foundation. Read-only.
- First winsR1First use cases live.
- R2Dashboards, every seat.
- R3More teams, same rules.
More revenue
Faster follow-up and more pipeline, where the audit found it.
Time saved
Chat saves minutes. Agents save the week, inside the systems your team already uses.
Work avoided
We use the systems you have. No big data project first.
After the audit you choose: the Foundational Enablement Programme puts the prioritised use cases live, team by team, or we run a scoped project on one or a few of them.
08Your people
Your team learns on its real work.
While we build, we train your people in weekly office hours. They bring their real work and leave with a better way to do it.
Weekly office hours
- Bring your real work
- Build it live, together
- Add it to the library
- Everyone uses it
The business operator
Owns the roadmap with your sponsor, and trains your people while we build.
The engineer
Builds the use cases in your tools, on your data, in your own environment.
Your team
Learns on its own work, every week, and runs what we build.
09What we build
What we build with you.
Playbooks
Agents + automations
Data assets
Know-how
We build in your environment from day one, so there is nothing to hand over at the end.
10What changed on your desk
Two questions you now have to answer before a deal closes.
Procurement
Your customers now audit your AI before they sign.
Security review used to ask where the data sits. Now it asks which models touch it, who can read the prompts, and what happens to the outputs. The answer is now part of the contract.
Sovereignty
Sovereignty is a deal term now.
It has moved out of the compliance annex and into the negotiation. A European region of a US provider is a location, not an answer. Buyers now ask for the difference in writing.
11Safe from day one
Compliance doesn’t mean no. It means a slightly harder build.
Legal, IT and your brand team set the rules once, at the start. That is how we build it: every later use case follows the same rules, without a new fight.
AI governance: the rules set once
Access and personal data under your control. Read-only first. Read the guide: an AI governance framework for mid-sized companies.
Residency is not sovereignty
In week 1 of the audit we sort your data and decide, per workflow, what may touch a US cloud. As reported, the CLOUD Act reaches US providers wherever the data sits.
Any AI model
Leading cloud models or local ones. The model can change. Your data stays where it is.
12Case studies
Work that went live.
Anonymised where a client has not cleared naming.
Case study
A 50M+-user European software company
- Industry
- B2B software (communications and collaboration)
- Size
- €10M+ revenue · 50M+ users
- Challenge
- World-class product, underbuilt partner-led go-to-market
- Engines
- GTM rebuilt AI-first: strategy, marketing, partner program, sales, ops + KPIs
30+ deliverables, all built and running
Case study
A €250M+ European consulting firm
- Industry
- Management consulting
- Size
- €250M+ revenue
- Challenge
- Selling complex services into hard-to-reach senior buyers
- Engines
- AI-native outbound: dual-track outreach, 75+ data points per prospect, EU-hosted and zero-integration
Senior-buyer meetings booked weekly; running in production
13Questions
Questions about the audit.
How long does the AI audit take?
Four weeks, from kickoff to the readout.
What does the AI audit cost?
A fixed price, set by the size of your company and by whether the audit covers one department or several. It is never billed by the hour.
What do we get at the end?
Six deliverables: discovery notes, a scored list of use cases, a working prototype on your real systems, an ROI model with the maths visible, a roadmap, and a board case built on your numbers.
Can we stop after the audit?
Yes. The audit is its own signature and its own invoice. If the readout doesn't convince you, that's where it ends, and you owe nothing further. The programme is a separate decision you make with the numbers in your hand.
Do you guarantee results?
No. Half of the result is what your organisation does with it, and we don't control that half. What we put in writing: a fixed price, a fixed scope, us in the room for the readout, and everything we build living in your environment from the first day. If you stop, you keep it.
What happens after the audit?
You choose. The Foundational Enablement Programme puts the use cases live team by team, with training alongside. Or a custom scoped project takes one or a few use cases. Or you stop.
14To start
Four weeks from now, you’ll know exactly where AI pays off in your company.
Read-only access
To the core systems, first.
One session in week 1
IT, Security, Legal, us. One decision list.
A sponsor
One owner who can say yes.
Your licences
You keep the contracts for Claude or ChatGPT. We advise.
No pitch. You’ll leave with at least one recommendation you can use — whether or not we ever work together.