Connecting to your systems
AI Integrations
Your stack
An AI integration connects an AI system to ERP, CRM, telephony or bespoke applications over APIs so they can share data and workflow steps.
Builds API-first connectors for ERP, CRM and bespoke systems, with engineering support for workflows unique to your business.
What problem does it solve?
Off-the-shelf AI tools rarely fit ERP, CRM and internal systems that were shaped around how a specific company operates. Data flow and approval steps end up missing.
How does it work?
First we define which systems share which data and which steps require approval. Then API-first connectors are built, the workflow is tested end to end, and the system goes into production with engineering support.
Supported workflows
- Design API connectors between AI products and ERP, CRM or telephony systems
- Model data flow and approval steps for organisation-specific workflows
- Extend NEA products with bespoke automation where packaged features end
- Maintain production readiness with engineering support through deployment
Who it is for
- Organisations with bespoke or heavily customised internal systems
- Teams modernising existing ERP or CRM workflows with AI
- Companies that need both packaged NEA products and custom connectors
Integration possibilities
Platforms commonly connected in integration projects include:
SAP, HubSpot, Salesforce, Stripe, Shopify, PayPal, Zoho, Airtable, Zendesk.
When a human is needed
Steps that require approval are defined explicitly in the workflow, so critical operations wait for an authorised user instead of completing automatically.
Why businesses use it
It moves AI into the systems that already run the business instead of replacing them, and the integration is planned as a production deployment rather than a prototype.
Frequently asked questions
- What can NEA integrate with?
- ERP, CRM, telephony, ticketing, HR and bespoke internal systems — through API-first connectors scoped during discovery.
- Do you only integrate your own products?
- No. The integration practice connects AI capabilities to your existing stack, which also includes extending Receptionist, Assistant and HR Automation deployments.
- How are custom integrations delivered?
- Each engagement is scoped with your engineering and operations teams, and workflows are designed as production deployments rather than one-off prototypes.