Services/AI implementation & integration
Capability
AI implementation & integration
Wire AI into the stack you already run.
APIs, data paths, auth, and production hardening so model calls become product behaviour, not a side demo.
What we build
The engineering pieces included under this capability.
System fit
CRM, ERP, support tools, and internal APIs connected with clear contracts.
API layer
Stable interfaces so product teams call AI without owning the model stack.
Data paths
Secure movement of context in and results out, with retention rules.
Security basics
Secrets, least privilege, audit logs, and deployment constraints.
Ops hooks
Latency, error, cost, and quality signals for production monitoring.
Example use cases
Concrete jobs this capability is built for. Not a full project proposal.
01
AI inside your CRM
Surface account insights and suggested next actions inside Salesforce or HubSpot, without a separate AI tool.
02
Smarter ticket routing
Classify intent from the ticket text and customer history, then send it to the right queue with context attached.
03
Back-office document flow
Extract fields from incoming documents, validate them, and post clean results into finance or ops systems.
Build path
- 01
Integration map
Systems, auth, data constraints, and success metrics.
- 02
Thin vertical
One path end to end before expanding coverage.
- 03
Harden
Rate limits, fallbacks, monitoring, and handoff docs.
Typical stack
Integration
Platform
Models
Need this in production?
Bring the use case and constraints. We will say if a sprint or pilot fits.