Synapsea
AI & automation

Where does artificial intelligence really save time in a business?

On repetitive tasks that have a rule and a volume: qualifying requests, reading documents, following up, re-entering data between two systems, answering frequent questions. We integrate models where they bring measurable value, inside your tools, with a human validating what matters.

Automate a processSee how we work

What we take care of

Business process automation (requests, quotes, follow-ups, invoices, appointments, reporting)

AI agents and assistants integrated into your tools

Intelligent document processing: data extraction and structuring

Integration of AI models into existing applications

Workflows, connectors and sales automation

Prototyping then industrializing AI solutions

Situations

Sound familiar?

Hours lost every week

Follow-ups, data entry, sorting requests, answering the same questions: rule-based work, done by hand.

Documents to read and re-enter

Purchase orders, contracts, supporting documents: read, extract, file, check.

An AI prototype that never reaches production

A successful demo, then reliability, cost or security problems.

Method

How we work

01

Pick the process

The one that costs the most and has clear rules. Just one to start.

02

Prototype

In a few days, on your real data, with measurable success criteria.

03

Industrialize

Reliability, logging, human validation, controlled costs, data security.

04

Measure and extend

Time saved, errors avoided; then the next process.

Track record

What we have already done in this area

Synapsea product · e-commerce

Fondouk: a PrestaShop store readable by AI agents

Module exposing the catalog to agents via the UCP and MCP protocols: data exposure design, security, production rollout.

Synapsea product · accessibility

Scrutia: AI in service of WCAG evaluation

Accessibility audit engine assisted by language models, with explainable verdicts and assistance on criteria that cannot be automated.

All work
Frequently asked questions

What clients ask before we start

Does my data go to an AI provider?

Only what is necessary, with providers chosen for their confidentiality commitments, or models hosted in your region when the context requires it. We decide this with you during scoping.

What does it cost to run?

A few tens of dollars a month for most small business automations. We estimate it before building.

Can the AI be wrong?

Yes. That is why every automation includes human validation on anything binding, and complete logging.

Where should we start?

With the ready-to-deploy solution: lead and quote follow-up. Then the next process.

Tell us what you redo every week; we'll tell you what can be automated.

A 30-minute call, then a prototype on your data if the process lends itself to it.

Automate a process