→ AI integration services
AI integration services for ERP, CRM, databases, and internal software
Plug AI into the software that already runs your business. SAP, Dynamics, Salesforce, NetSuite, Odoo, internal Postgres, legacy SQL Server, and custom in-house systems.
Overview
How we approach this work.
AI integration services from Resser cover the work that decides whether an AI feature has real impact: connecting the model to the systems where your actual business data lives.
We integrate AI into ERPs (SAP, Dynamics, NetSuite, Odoo), CRMs (Salesforce, Hubspot, Microsoft Dynamics CRM), internal SaaS, and bespoke in-house software backed by Postgres, SQL Server, MongoDB, or whatever your team built before.
Every integration we ship includes the production patterns: structured outputs against your schema, eval coverage, retry logic, observability, and an audit log that satisfies compliance.
What we build
Concrete deliverables.
AI features inside your existing SaaS
Copilots, summarizers, intelligent search, AI-driven actions inside the product you already ship.
AI inside SAP, Dynamics, NetSuite, Salesforce
Custom AI agents and copilots embedded in your existing ERP / CRM, using the official APIs and respecting role-based access.
Intelligent search across enterprise data
Hybrid retrieval over the Postgres, S3, SharePoint, Confluence, and document stores your team actually uses.
AI middleware between legacy systems
When the API you have is SOAP, the database is on SQL Server 2014, and the source of truth is a flat file on SFTP. We bridge it.
Webhook-driven AI workflows
Trigger AI processing on real-world events: a new case in Salesforce, a new document in your S3 bucket, a Slack message in a watched channel.
Audit-grade integrations
Every AI decision is logged with input, output, confidence, model version, and operator override. SOC 2 / GDPR / HIPAA friendly.
Stack
What we build with.
Enterprise systems
SAP (S/4HANA, Business One, RFC, OData), Dynamics 365, Salesforce (REST, Apex, Platform Events), NetSuite (SuiteScript, RESTlets), Odoo, Hubspot, Zendesk, ServiceNow.
Databases
Postgres (Supabase, Neon, RDS, self-hosted), MySQL, SQL Server, Oracle, MongoDB, DynamoDB, Snowflake, BigQuery.
Document stores
S3, SharePoint, Confluence, Notion, Google Drive, Dropbox, internal NAS, on-prem document repositories.
Integration tools
Custom Node / Python / Go middleware. n8n + custom nodes when fast. Temporal for durable workflows. Webhooks, REST, GraphQL, gRPC, SOAP, SFTP, Kafka, RabbitMQ.
Outcomes
What we ship.
CRM copilot for an industrial SaaS sales team: lead-to-quote time dramatically shorter, every action audit-logged inside the CRM.
AI search across SharePoint, Confluence, and internal docs: minutes of searching replaced with seconds, with citations from the source.
Compliance review agent integrated with the customer's Postgres audit log: throughput materially higher without adding headcount.
References with names available after a scoping call.
Related services
Other places this work shows up.
FAQ
Frequently asked.
Can you integrate AI into our existing CRM / ERP?
Yes. We integrate with Salesforce, SAP, Dynamics 365, NetSuite, Odoo, Hubspot, Zendesk, ServiceNow, and bespoke in-house systems. We use official APIs and respect existing role-based access and audit requirements.
What about our legacy systems with no modern API?
We have built integration middleware over SOAP, SFTP, flat files, and old SQL Server stored procedures. The pattern is to put a thin custom service in front that exposes a modern API and handles the legacy translation, then build the AI on top of that.
Will the AI have access to all our data?
Only the data the integration explicitly fetches, scoped by role-based access and audit-logged. We design every integration around the principle of least privilege.
How much does an AI integration cost?
A focused integration into one existing system: €10,000-€30,000. A multi-system AI integration with audit, eval, and admin tooling: €40,000-€100,000+. On-prem and air-gapped deployments are typically €100,000+.
How long does an AI integration take to ship?
Discovery week first. Then 2-3 weeks for a working prototype with one real integration. Then 2-6 weeks of hardening before production deploy. Most integrations reach production in 6-10 weeks.
Want to scope this for your project?
Fill the project-estimate form. We reply within one business day with a preliminary scope and a rough budget bracket.