AI integration
AI, where your teams already work.
AI only creates value connected to your systems: we integrate it into your ERP, CRM and office tools — via API, MCP and connectors, replacing nothing.
Systems we connect
AI added to your stack — not a replacement
Real use cases across the systems where your data already lives.
Odoo
The most widely deployed ERP in Moroccan SMEs and mid-caps — and our favourite playground. A sales assistant drafts quotes from client history and stock, then creates the order directly in Odoo, under validation.
Microsoft 365
Where Copilot stops, custom integration begins. An assistant summarises the Outlook and Teams threads of a case, finds the related SharePoint documents and drafts the summary note — respecting your confidentiality rules.
SAP
Automatic three-way matching of supplier invoices with orders and receipts in SAP, discrepancies documented and sent for accounting validation — days of data entry turned into minutes of review.
Salesforce
Automatic qualification of inbound leads — enrichment, scoring, first-reply draft — written straight into Salesforce, so reps call back within the hour instead of the next day.
FAQ
Frequently asked
Do we have to change ERP or CRM to integrate AI?
No — that is exactly what integration avoids. We connect AI to your existing systems via API, MCP and connectors: Odoo, Microsoft 365, SAP or Salesforce stay the source of truth, AI adds to them with controlled access. A replacement is only justified for reasons unrelated to AI.
Which model platform should we choose for our constraints?
It depends on your existing stack and data-residency requirements: Azure OpenAI if you are a Microsoft shop, AWS Bedrock or Google Vertex AI depending on your cloud, direct OpenAI or Anthropic APIs for maximum flexibility. We compare the options on your criteria — security, cost, performance — before recommending.
How do you secure AI's access to our systems?
Every integration uses dedicated service accounts with minimal rights, strong authentication, sensitive-data filtering and full logging of reads and writes. Critical write actions require human validation — and everything stays auditable after the fact.
How long does a typical integration take?
Six to ten weeks for a first integration: use-case scoping, connector or MCP-server development, tests on real data and progressive production. Later integrations reuse the infrastructure and go much faster.
Connect AI to your systems?
Odoo, Microsoft 365, SAP, Salesforce — via API, MCP and secure connectors. Let's scope the first integration.