Context connections
Retrieve relevant information through supported APIs or controlled pipelines, preserving source ownership and access restrictions.
Build & connect
AI Integration Services
Connect AI with CRM, ERP, scheduling, and service software. AI integration services for businesses and private equity portfolio companies.
Discuss your AI project ↗Separate reading from changing records
CRMCustomer context
ERPOperational records
Service deskCases and work
Controlled integration layerAuthorization · validation · retries · audit trail
Read contextOnly what the user may access
Propose an actionReview when the workflow requires it
Connect the workflow without losing control.
An isolated assistant cannot complete work if it cannot reach the right information or pass a result to the next system. Blake Technologies builds integration layers that connect AI capabilities with enterprise applications. We distinguish reading context from changing records, define the permissions for each action, and design for retries and incomplete work. The goal is a workflow that operators can understand and recover.
Business AI integration should connect to the systems employees already depend on. For service companies, that may mean linking customer inquiries, job schedules, work orders, and billing records. Private equity groups can use shared integration patterns across portfolio companies without forcing every company onto the same operational software or exposing one company’s records to another.
Design for more than the happy path
Validated actions
Check proposed updates against schemas and business rules. Use approval steps for actions whose consequences call for human judgment.
Reliable execution
Handle vendor limits, duplicate requests, partial failures, and audit records so an interrupted workflow can resume safely.
Your engagement outputs
- Documented interfaces and permission boundaries
- Implemented connectors with error handling and tests
- Operational logs and integration support guidance
Scope, schedule, team, and support are agreed for the engagement.
A useful distinction
Can AI work with a system that has no modern API?
We first examine supported exports, database access, and vendor options. A modernization step or a constrained automation may be appropriate. We agree the maintenance implications before depending on a fragile interface.