AI and ERP, concretely.

Always-on customer service

Your teams answer the same questions every day: order status, returns, billing. Repetitive, time-consuming, and it overwhelms a small team.

An AI agent connected to your internal sources (catalogue, ERP, knowledge base) handles common requests in natural language, 24/7 and in several languages, and hands off to a human the moment a case is out of the ordinary.

Klarna's AI assistant took 2.3 million conversations in its first month — two-thirds of its support, the work of 700 agents — cutting resolution time from 11 to under 2 minutes. Deutsche Bahn handles nearly one million messages a year from a single AI-assisted desk.

In 2025, Klarna reintroduced human agents for complex cases. That is exactly our principle: automate the repetitive requests, keep humans where judgement matters. Never “all-AI”.

The same mechanism covers multilingual FR/DE/EN/IT support — an asset in Switzerland — and applies to an SME's volumes, not just a giant's.

Invoice and document processing

Keying invoices, extracting data from contracts, re-typing into the ERP: manual, slow work and a source of costly errors.

An AI pipeline reads the documents (OCR + language-model extraction), validates the key fields and pushes them straight into your accounting or ERP, with human review on exceptions.

JPMorgan's COiN system reviews 12,000 credit agreements a year, extracting 150 attributes per document in seconds — work that previously consumed 360,000 lawyer-hours annually. On invoices, documented deployments cut processing time by 60–70%, with up to 99% extraction accuracy.

AI is reliable only on known document formats; atypical cases stay human-reviewed. The gain comes from repetitive volume, not the exception.

A Swiss SME case (financial services) freed the equivalent of 3 roles and cut its error rate from 4.2% to 0.3% across 3,000 monthly invoices, live in 4 weeks.

The internal assistant — search and drafting

Your staff lose time hunting for the right information across scattered procedures, contracts and emails, then drafting the same documents.

An internal assistant indexes your documents and answers questions citing its sources, and helps draft quotes, minutes and replies — always verifiable.

McKinsey replaced manual classification (20s/document, ~50% accuracy) with a generative-AI tool: 3.6s/document and 79.8% accuracy — up to 676 hours saved per analyst per year.

An internal assistant only “knows” what you give it: quality depends on your documents, and every answer must stay traceable to its source. No answer without a citation.

For an SME, that's a few hours back each week for every employee — and knowledge that no longer walks out the door with the person who leaves.

AI without your data leaving Switzerland

Many SMEs hesitate to adopt AI because their sensitive data would transit through foreign servers — a real compliance and confidentiality risk.

A private language model, hosted in Switzerland (or in your own environment), processes your confidential documents without any data leaving the jurisdiction.

Aleph Alpha runs classified-grade sovereign AI inside German federal ministries: 80,000 civil servants use it, and one official summarized 400 pages of regulation in seconds — with no data leaving the building. At a semiconductor manufacturer, document search time fell by 90%.

Sovereign AI takes a little more engineering than a consumer service; the right scope is defined by your data's real sensitivity, not by principle.

Independent Swiss hosts (Infomaniak, Swisscom, Exoscale) keep data and models in Switzerland, compliant with the nFADP — Infomaniak neither logs nor stores requests.

nFADP compliance for regulated sectors

Finance, insurance, healthcare, law: these sectors handle especially sensitive data and cannot adopt “consumer” AI without regulatory risk.

We design compliant AI by default: hosting and processing in Switzerland, access traceability, and control over what enters and leaves the model.

91% of AI-enabled financial institutions use generative AI — driving strong demand for sovereign tools compliant with Swiss regulation. The nFADP, in force since 1 September 2023, imposes strict requirements on any organization handling the data of people in Switzerland.

Compliance isn't only a technical layer: it involves governance and process. We deliver the technical side; the legal side is validated with your counsel.

For a Swiss SME in insurance or healthcare, Swiss hosting isn't a luxury but a condition of adoption — and a trust argument toward your own clients.

Model neutrality, without lock-in

Handing all your AI to a single foreign vendor is a dependency risk: price, availability, and loss of control over your data.

We pick the right model for each use — open source hosted in Switzerland, or a commercial provider as needed — without locking you to a single player.

Vendor lock-in became one of the main risks of enterprise AI platforms in 2026; European sovereign solutions position precisely to avoid conceding data control to foreign providers.

Neutrality has a cost: keeping several options open takes some architecture. The goal isn't to use every model, but to depend on none.

You keep ownership and portability of your data and your automations — a simple, durable principle of sovereignty.

Unify your business data on Odoo

Sales, stock, accounting, operations: when each tool lives in its own corner, information duplicates, contradicts itself, and automation becomes impossible.

We set up Odoo as the single foundation — one source of truth for your business data — then migrate and connect your existing tools.

Ateliers du Bocage, a French social enterprise, gained up to 30% productivity in certain roles after adopting Odoo, by making its data reliable and cutting manual entry. Several industrial SMEs report up to 80% less manual data entry after unification.

A unified ERP is a project, not a switch: the value comes from a careful rollout and team adoption, not the software alone.

Odoo handles Swiss-law-compliant accounting — a solid foundation for an SME that wants to stop juggling spreadsheets and disconnected tools.

Automate accounting and operations

Once the data is unified, many tasks stay manual: reconciliations, follow-ups, reports, restocking.

On the Odoo foundation, we automate the highest-value flows — invoicing, stock alerts, real-time reports — and connect AI where it accelerates.

One SME saved over €22,000 a year and automated the equivalent of 10 months of manual work through its Odoo implementation. Others report markedly reduced delays and errors via real-time tracking.

Automating a bad process only produces errors faster: we map and fix the flow before automating it.

For an SME, these gains show up as hours returned each week and faster, more reliable accounting closes.

Odoo, AI-ready — the nFADP bridge

Your business data is a goldmine for AI — but only if it is clean, unified, and used without leaving Switzerland.

We connect your Odoo foundation to AI models hosted in Switzerland (Infomaniak, Swisscom) — the nFADP-documented bridge between your data and intelligence: forecasts, assistants and analytics, on your own data.

St. Margaret's School raised its admissions conversion from under 10% to over 17% in six months by leveraging Odoo's CRM and dashboards — an example of the value unlocked when data is unified and activated.

AI on the ERP is only as good as the data beneath it: the unified foundation (case 1) is the prerequisite. No magic without foundations.

This is the fulfilment of the KHANSA promise: a Swiss, compliant foundation that turns your data into an advantage — without exposing it. Official Odoo partner.