The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
AI integrationsthat connect safelyto business systems.
Add AI capabilities without replacing the software your teams depend on.
AI Integration Layer: requests from your CRM, ERP and databases pass through a controlled integration layer that authenticates the caller, scopes what it may reach and validates what moves, before connecting out to your SaaS tools, AI models and internal APIs and returning a safe action.
AuthScopeValidate
CRM
ERP
Databases
SaaS Tools
AI Models
Internal APIs
AI Integration Layer
What Can These Connections Do?
Explore AI servicesSales Follow-Ups
Operations Updates
Data Access
In-App Assistance
Cross-Tool Handoffs
Provider Connections
What You Actually Get
- API Connectors
- Credential Configuration
- Access Policy
- Data Contracts
- Contract Tests
- Write Restrictions
- Retry Policy
- Action Logs
- Deployment Package
- Integration Guide
- API Connectors
- Credential Configuration
- Access Policy
- Data Contracts
- Contract Tests
- Write Restrictions
- Retry Policy
- Action Logs
- Deployment Package
- Integration Guide
Example: Update a CRM After a Call.
Step 1 / 6
Call Notes
Customer requests a follow-up
- Call Notes
- Customer Record
- Proposed Update
- Validation
- Confirmation
- CRM Record
Worked example · Step 0 of 6
What Does It Take to Build?
Get a custom estimatePilot
- 1–2 systems
- One read or test workflow
- Most popular
Production
- Multiple integrations
- Read and write workflows
- Production rollout
Multi-Team
- Multiple internal systems
- Multiple AI services
- Reusable connector library
- Ongoing engineering
- Founded in
- 2013
- Projects delivered
- 550+
- Client countries
- 43+
- Global offices
- 3
FAQs
What systems can you integrate with?
CRM and sales systems, ERP and operations software, SQL and NoSQL databases, internal applications, third-party SaaS platforms and AI model APIs - anything that exposes a documented API, database or supported integration surface.
Can you work with our existing APIs?
Yes. Existing APIs are wrapped with explicit schemas, identity scope and validated request and response boundaries rather than called ad-hoc, so an AI-callable tool is never just a raw endpoint handed to a model.
Can AI safely write back into our systems?
Yes, within agreed boundaries. Writes are scoped to allow-listed operations, validated against a schema before execution, made idempotent where the system supports it, and logged. Sensitive writes can pause for human approval.
How do you handle authentication and permissions?
Through the mechanism each system already supports - API keys, OAuth, service accounts or signed requests - with credentials held in managed secret storage. Identity and tenant scope are applied before data is retrieved, so a caller only reaches what it is entitled to.
Can you integrate multiple AI models?
Yes. OpenAI, Claude, Gemini and other providers can be connected behind one integration layer, so a model can be added or changed without rewriting the systems around it.
What affects integration cost and timeline?
The number of systems, API quality and documentation, authentication and permission requirements, how much schema mapping the data needs, whether writes are in scope, and the required monitoring and compliance depth.
Which systems need to work together?
Bring your system list and one data flow. We’ll identify the connection points.
