Discover
Understand the business problem, users, systems, data and risk.
Output: Use-case definition and success measures
AgenticLabs Enterprise
Managed AI Agent Operations
Ongoing monitoring, evaluation and improvement of agents in production. Ongoing monitoring of agent performance, security, cost and business outcomes.
How to start
Managed Agent Operations
Available on request. Scope and service levels are agreed with you.
- Monitoring
- Evaluation
- Security review
- Workflow improvements
- Cost optimisation
- Incident support
- Monthly reporting
Security is built into this service
Every agent we work on follows the same control principles: least privilege, human control, traceability, defence in depth and continuous evaluation.
AI Agent SecurityDelivery process
How the work runs
Design
Define agent workflow, architecture, permissions and controls.
Output: Approved solution design
Build
Develop and integrate the agent in a controlled environment.
Output: Testable pilot
Validate
Evaluate quality, safety, security, performance and usability.
Output: Evidence and release decision
Operate
Deploy, monitor, improve and govern the service.
Output: Managed production outcome
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