AI in productionFor established companies

Fixed priceMeasured before and after

Paris48°51'N · 2°21'E

Paris · 2025Ref. ABA-001

From trial to production.

One business process automated with AI, in your own tools, with a gain measured before and after. Scope, price and date agreed before we start.

Book a call See how it works

01
ScopingBaseline measured, criterion in writing
02
BuildShort cycles, with your users
03
Into productionIn your own tools
04
Measurement and handoverGain measured, teams trained

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A task automates well when it can be described by a rule,relies on documents and repeats.

80%

of professionals surveyed say AI has improved their productivity.

37%

of organisations report any positive impact on their operating profit.

Between the two lies production: the data, the integration, the adoption. That is our job.

Source: McKinsey, The State of AI, 2026 · Global

Section 01

What we automate

Any process that can be described by a rule, relies on documents and repeats. Here are the four most common starting points.

01 · Documents

Incoming documents

Orders, supplier invoices, delivery notes, quotes. Read, checked and entered into your ERP. Your teams only see the doubtful cases.

We measureMinutes per document, error rate, processing time

02 · Requests

Incoming requests

E-mails and tickets from customers or suppliers. Sorted, with a suggested reply and a hand-off to the right person.

We measureTime to first reply, share handled without intervention

03 · Responses

Sales responses

Proposals and tenders. A first draft written from your past responses and your documentation, reviewed by your teams before it goes out.

We measureHours per response

04 · Documentation

Internal documentation

Procedures, standards, contracts. An assistant that answers your teams and cites its sources.

We measureSearch time, questions your experts no longer field

And across every function

Finance

Reconciliations
Payment chasing
Close and reporting

Procurement

Quote comparison
Supplier monitoring
Spend analysis

Legal

Contract review
Clause checks
Registers and compliance

Customer service

Complaints
Order tracking
Answer library

Sales

Proposals
Lead qualification
CRM updates

Human resources

Onboarding
Internal questions
Admin documents

Operations

Orders
Planning
Quality control

Management

Dashboards
Summaries
Board packs

Section 02

The pilot, step by step

A free workshop to choose the process, then a fixed-price pilot, measured from start to finish.

Scoping workshop

With your teams, we choose the process, estimate the gain and list the prerequisites.

A one-page sheet.

Scoping

Access to the data, baseline measurement, success criterion written with you.

The scoping sheet, signed.

03Short cycles

Build

With your users, on real cases. Quality tests are rerun at every change.

A demonstration at every cycle.

Into production

The system goes into your tools on a limited scope, with an exception queue for your teams.

The system in service.

Measurement and handover

Measuring the gain, training your teams, documentation.

The review, in figures, and the plan for what follows.

Scoping sheet · template

Example: supplier invoices

Scope

01Receipt by e-mail, portal, scan
02Extraction of amounts, dates, parties
03Purchase order matching
04ERP posting, cost allocation
05Exception queue, human approval
06Log and monitoring

Success criterion

Indicator: Invoices entered without intervention
Baseline: Recorded at scoping
Target: Written with you
Result: Recorded at review

Review

01Gain measured, before and after
02Running cost
03Quality tests, log
04Documentation, training
05Plan for what follows

Ref. ABA-001 · INVEvery pilot gets its sheet at scoping

Section 03

Our commitments

01A success criterion written with you before we build.
02A fixed price, agreed before we start.
03Your data stays with you or in Europe.
04A person approves the exceptions.
05The code built for you belongs to you.
06Independent of AI vendors: the right model for each use.

Section 04

The questions we are asked first

01We have already tried ChatGPT or Copilot.

That is the step before. The pilot takes the next one: a specific process, connected to your data and your tools, with a measured gain.

02We would rather do it in-house.

We build with your teams. By the end of the pilot, they are trained, the documentation is delivered and the system runs without us. Monthly support is available, never required.

03Our data is sensitive.

It stays with you or is hosted in Europe. We work with business-grade services whose contracts rule out training models on your data. Never with consumer tools.

04Our systems are old.

That is the most common case. We work through exports, e-mail, an API where there is one, and a robot where there is not.

05How much does it cost?

The workshop is free. The pilot is a fixed price, stated before we start. The end-of-pilot review gives the running cost of the system, set against the measured gain.

06What if it does not work?

The success criterion is written at scoping. If it is not met at the review, we carry on at no extra cost, for a period set in advance.

Scoping workshop

A workshop to choose the right process.

The workshop is free. You then receive a one-page sheet: the process to tackle, the estimated gain, the prerequisites.

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