Service monitoring
Review availability, failures, task quality, and recurring costs against agreed operating expectations.
Operate & govern
AI maintenance and managed services for businesses and private equity portfolios. Define monitoring, support, updates, and operational responsibilities.
Discuss your AI project ↗An AI application continues to need attention after launch. Sources change, integrations evolve, and user feedback exposes cases that were absent from the pilot. Blake Technologies can support deployed systems under a defined operating agreement. We establish what is monitored, how incidents are handled, and which changes require separate delivery work. Coverage hours and response commitments are agreed explicitly.
A service business needs its AI-enabled software to remain useful as customer demand, source documents, and vendor systems change. Private equity groups also need visibility into who supports each portfolio-company application. We define monitoring and maintenance around the business workflow, with explicit coverage, escalation, and change responsibilities for the engagement.
A useful distinction
No. Coverage, response targets, escalation, and commercial terms are confirmed for the engagement. We also define the client’s responsibilities and any dependencies on third-party platforms.
Review availability, failures, task quality, and recurring costs against agreed operating expectations.
Evaluate model or dependency changes, maintain integrations, and test releases before deploying them to users.
Turn incidents and feedback into a prioritized backlog while distinguishing defects from new requirements.
Scope, schedule, team, and support are agreed for the engagement.