What we integrate AI with
| System | Example integration |
|---|---|
| CRM (Salesforce, Dynamics, HubSpot) | Summarise accounts, draft follow-ups, update records with approval |
| ERP (SAP, Oracle, NetSuite) | Invoice and order processing, reconciliation, exception routing |
| ITSM and helpdesk (ServiceNow, Zendesk, Jira) | Ticket triage, suggested answers, automated resolution of routine requests |
| Documents and knowledge (SharePoint, Google Drive, Confluence) | Permission-aware search and answers with citations |
| Data platforms (Snowflake, Databricks, BigQuery) | Natural-language analytics, feature pipelines, model scoring |
| Messaging (Slack, Teams, email) | Assistants and agents where staff already work |
How AI implementation works
- 01
Integration design
We map data flows, permissions and approval points, and choose between native connectors, APIs and Model Context Protocol (MCP) servers.
- 02
Secure connectivity
Scoped service accounts, secrets management, private networking and rate limits, so AI can only do what it is allowed to.
- 03
Build and test
Integrations tested against real cases, with evaluation of AI outputs and fallbacks when the model is unsure.
- 04
Roll out and monitor
Staged rollout, dashboards for usage, quality and cost, and runbooks for your team.
Frequently asked questions
What are AI integration services?
AI integration services connect AI models, agents and machine learning to the business systems and data a company already uses, so AI can read the right information and take approved actions inside existing workflows.
What is the difference between AI integration and AI implementation?
Integration is the technical connection between AI and your systems. Implementation is the full rollout: use-case design, integration, testing, security, training and change management. Solnix delivers both.
Can you integrate ChatGPT or Claude with our systems?
Yes. We integrate hosted models from OpenAI, Anthropic, Google and others, usually through your cloud provider, or self-hosted open-weight models, with your data kept inside your boundary.
How long does an AI integration take?
A first integration is typically prototyped in 3 to 5 weeks and in production in about 60 days, depending on system access and approvals.