Claude or ChatGPT Enterprise, rolled out
We roll out Claude Enterprise or ChatGPT Enterprise for one department or the whole company, with use cases and training. You keep the licence contracts.
AI implementation
AI implementation, in the systems your team already uses.
PromptPartner is an AI implementation partner for mid-sized and larger companies in Europe, in any industry, from about €50 million to €500 million in revenue or ARR. We build AI into your CRM, email and documents, put it live with your people, and train them while we build.
It starts with the AI audit: four weeks, fixed price. Then the use cases go live, one release at a time.
01What it is
What is AI implementation?
AI implementation puts AI to work in your company’s own systems. The use cases are built into the tools your people already use, they go live with real users, and your team runs them. The licence gives your people access. The implementation connects it to the work they do every week.
Agents in your systems
Agents do the work inside the systems your team already uses: the CRM, email, the calendar, your documents. They start with read-only access, and you control what they can reach.
Training while we build
Every week, your team brings real work to office hours and leaves with a better way to do it.
02After the audit
Two ways to implement AI after the audit.
The four-week audit puts a euro figure on every use case and builds a working prototype on your real systems. 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.
Our standard programme
The Foundational Enablement Programme
We often start in go-to-market, because the return shows fastest there. Then more teams follow, on the same rules. Training runs alongside, every week.
- Secure
- Launch
- Scale
- Own
One or a few use cases
A scoped project
We build one or a few use cases from the audit, in your systems and on your rules. The audit readout shows which route fits.
The audit is its own signature and its own invoice. You can stop after it.
03Going live
How do the use cases go live?
One release at a time, in your own environment. We build on the systems you already have, so there is no big data project to finish first.
- 1
The rules come first
Legal, IT and your brand team set the rules once. Your data stays where it is.
- 2
Scope and order
A short spec sprint fixes the scope and the order of the first release.
- 3
The first use cases go live
We put the first agents live in the systems your team already uses. They start read-only, and a person checks the work before anything is acted on.
- 4
More teams join
Then more teams follow, on the same rules: Legal, Finance, HR, R&D, Manufacturing.
- 5
Your team runs it
Your people use what we build. We keep it running and add the next use cases.
04The team
Who implements it?
We work with a European network of engineers and specialists. Two roles sit with your team on every project. The others join when a project is larger or custom.
Your core team
Forward-deployed engineer
Works inside your company and builds the AI into the tools your team already uses.
Your core team
Business engineer
Maps how the work runs today, chooses the use cases with you and trains your people every week.
For larger or custom projects
The extended team
Machine learning, data and software engineers: models and evaluations, connections to your systems and data, integrations and dashboards.
05Your control
What stays yours?
Everything we build
We build in your environment from day one, so there is nothing to hand over at the end. Source code, prompts and configuration are yours.
The rules
Read-only first, and you decide what each workflow can reach. IT, legal and brand set the rules once, at the start.
The decision
What comes after the audit is a separate decision, made with the numbers in your hand.
06Work that went live
What has PromptPartner implemented?
We work with mid-sized and larger companies in Europe, in any industry, from about €50 million to €500 million in revenue or ARR. Many are in software, SaaS or consulting, often founder-led or owned by private equity or a family office. Three projects we completed recently.
€2.07M–€3.0M
value created a year, floor to all-in
A European software company above €100M ARR
We shipped 42 working skills across 15+ plugins. One of them turns a week of collateral work into minutes. With IT and Security, we also built the connecting layer and the governance for the Claude Enterprise rollout.
30+
deliverables, all built and running
A 50M+-user European software company
We rebuilt its go-to-market AI-first: strategy, marketing, partner programme, sales and operations.
Weekly
senior-buyer meetings booked, running in production
A €250M+ European consulting firm
An AI outbound engine on ChatGPT Enterprise, connected to Salesforce and external B2B databases. Outreach follows buying signals and intent, written for each contact. Every BDR gets a call list each day.
Our engineers have also built data and AI systems in manufacturing, energy, transport, finance, healthcare, the public sector, real estate and security.
07Questions
Questions about AI implementation.
What is AI implementation?
AI implementation puts AI to work in a company’s own systems. Use cases are built into the tools people already use, go live with real users, and are run by the company’s own team. At PromptPartner it follows a four-week audit that decides which use cases come first.
What do your AI implementation services include?
The rollout of Claude Enterprise or ChatGPT Enterprise, agents in the systems your team already uses, rules set with your IT and legal teams, and weekly training for your people. One team does all of it.
What is an AI implementation partner?
An AI implementation partner builds AI into your systems, puts it live with your people and trains them. PromptPartner works this way with mid-sized and larger companies in Europe: two people sit with your team, one builds and one trains your people.
Do we need the audit first?
Yes. The four-week audit puts a euro figure on every use case and builds a working prototype on your real systems, so the implementation starts with the use cases worth building. The audit is its own signature and its own invoice, and you can stop after it.
How much does AI implementation cost?
The four-week audit has 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 comes after is a separate decision, made once you have the audit’s numbers.
Who owns what you build?
You do. We build in your environment from day one, so there is nothing to hand over at the end. That includes the source code, the prompts and the configuration.
08To start
Four weeks from now, you’ll know exactly where AI pays off in your company.
30 minutes with Lukas. You leave with at least one recommendation you can use, whether or not we ever work together.