Managed AI & Monitoring
24/7 monitoring, performance optimisation, and proactive issue resolution.
Managed AI and monitoring provides 24/7 oversight, performance tuning, ongoing updates, and proactive issue resolution — keeping production agents aligned with business outcomes.
What this accelerator delivers.
Go-live is not the finish line. Agents drift as data changes; models need tuning; incidents require immediate response; and business stakeholders need confidence that AI systems deliver ongoing value. Managed AI and monitoring provides 24/7 oversight, performance optimisation, ongoing updates, and proactive issue resolution — keeping production agents accurate, safe, and aligned with business outcomes. This is operational accountability as a service: not a one-off implementation that your team inherits and struggles to maintain, but continuous managed delivery by teams who built the system and know it intimately. FDEEs monitor accuracy; FDEs tune performance; and incident response keeps downtime measured in minutes, not days. You buy operational peace of mind — the assurance that production agents keep working after the consulting team would have left.
24/7 monitoring and proactive issue resolution
Continuous performance tuning and updates
Outcome-accountable managed service delivery
Operational peace of mind post go-live
Concrete artefacts, not slide decks.
Monitoring architecture
Dashboards, alerting, and SLA definitions for all production agent workloads.
24/7 operations runbook
Incident response procedures, escalation paths, and on-call coverage model.
Performance optimisation plan
Continuous tuning schedule for accuracy, latency, and cost across agent fleet.
Business outcome reporting
Monthly reports mapping agent performance to business value stream outcomes.
Four phases to production go-live.
Embed & discover
FDEs embed inside your business, learn the domain, and scope the highest-value use case for this accelerator.
Unify context
Connect source systems into a governed context layer — MCP, knowledge graphs, and field mapping in your environment.
Configure & evaluate
Build governed agent workflows, run eval harnesses, and tune against your policies before go-live.
Deploy & monitor
Establish 24/7 monitoring, incident response, performance tuning, and business outcome reporting for production agents.
Where this accelerator applies.
Production agent fleet operations
24/7 monitoring of KYC, reconciliation, and onboarding agents in banking environments.
Claims agent operations
Managed operations for claims processing and underwriting support agent fleets.
Back-office fleet management
Monitoring and tuning for 25+ agent back-office operations.
Production outcomes, not pilot metrics.
Production uptime for managed agent workloads.
Mean time to acknowledge and begin resolving production incidents.
Continuous monitoring, evaluation, and proactive tuning.
Related accelerators
Ready for an AI implementation partner?
Book a discovery call and we'll map your highest-value use case — and exactly how we get it into production.
Frequently asked questions
- What does managed AI monitoring include?
- 24/7 monitoring, performance tuning, incident response, model updates, and business outcome reporting — delivered as ongoing managed service.
- Do we need this if we have internal ops teams?
- Managed services complement your team — providing AI-specific operational expertise that general IT ops may lack, with knowledge transfer built in.
- How quickly are incidents resolved?
- Typical mean time to acknowledge is under 15 minutes, with FDEE-led diagnosis and FDE-led remediation for production agent incidents.
- Can managed services scale with our agent fleet?
- Yes. Monitoring architecture scales from single-agent deployments to fleets of 25+ agents in back-office operations.