Managed AI Operations
Ongoing monitoring, optimization, and scaling of your AI infrastructure. We handle the complexity so you can focus on growth.
We run your
AI operations.
Ongoing monitoring, optimization, and scaling of your deployed AI agents. We handle performance tuning, model updates, anomaly response, and infrastructure scaling so you don't have to.
Deploying AI agents to production is the beginning, not the end. Models degrade. Upstream APIs change. Edge cases surface in the wild that never appeared in testing. Data goes stale. Infrastructure needs to scale. Without active management, production AI systems quietly degrade — and most organisations don't notice until the business impact is already visible.
FlockSoft Managed AI Operations treats your deployed agents the same way a world-class engineering team treats a production SaaS product — with 24/7 monitoring, rapid incident response, continuous optimisation, and regular reporting tied to business outcomes.
Performance monitoring & alerting
Model updates & version management
Data freshness & pipeline health
Infrastructure scaling on demand
Six operational
pillars. Always on.
Onboarding & Baseline
We establish a performance baseline for every agent in scope — capturing throughput, accuracy metrics, latency, error rates, and cost per operation. This baseline becomes the benchmark against which all optimisation work is measured.
24/7 Monitoring
Our operations infrastructure monitors every agent in real time. Custom alerting thresholds trigger immediate investigation for anomalous behaviour — whether that's an unexpected error rate spike, a latency regression, or a downstream system failure affecting agent performance.
Incident Response
When an alert fires, our on-call team investigates, triages, and resolves within agreed SLA windows. You receive a structured incident report for every P1 or P2 event — covering root cause, resolution steps, and preventive measures implemented.
Continuous Optimisation
Performance optimisation is ongoing, not periodic. We tune prompts, adjust retrieval parameters, refine tool-calling logic, and update knowledge bases on a rolling basis. Every optimisation is tracked against baseline metrics so you can see exactly what improved.
Monthly Reporting
Every month you receive a structured performance report covering agent activity, key metrics vs. baseline, incidents and resolutions, optimisations applied, and cost analysis. Reporting is designed for both technical leads and business stakeholders.
Scaling Support
As your agent programme grows, we scale the infrastructure with it. Adding new agents, expanding to new workflows, increasing throughput — all handled by FlockSoft without requiring additional headcount on your side.
Continuous coverage.
Monthly visibility.
24/7 Monitoring
Monthly Performance Reports
Continuous Optimization
Incident Response
Scaling Support
All monitoring dashboards, incident reports, and performance data are accessible to your team in real time. You retain full visibility into your AI operations at all times.
24 agents in production.
Managed end-to-end.
After deploying 24 agents to production, the client transitioned to FlockSoft Managed AI Operations for ongoing monitoring and optimisation. Over the following 12 months, continuous tuning improved agent accuracy by 18% and reduced per-operation costs by 22% — while the client team focused entirely on growth.
“The agents don’t just optimise — they anticipate. We’ve eliminated forecasting as a bottleneck entirely.”
Common questions.
What does a typical month of Managed AI Operations look like?
Continuous monitoring runs in the background throughout the month. Our team handles any incidents as they arise and performs ongoing optimisation work. At month end you receive a structured performance report. The cadence is low-friction by design — you typically interact with us for monthly review calls and the occasional incident notification.
Can we transition from self-managed to Managed AI Operations?
Yes. We offer a transition engagement where we audit your existing agent deployment, document the current state, establish monitoring infrastructure, and hand over to our operations team. Transition typically takes one to two weeks and can be done without any downtime.
How do you handle model updates from underlying AI providers?
We monitor all model versioning announcements from providers like OpenAI, Anthropic, and others. When a relevant update is released, we evaluate impact on your agents in a staging environment before applying to production. Breaking changes are handled with zero disruption to your operations.
Do we still have visibility into what our agents are doing?
Full visibility is a core principle. You have access to the same monitoring dashboards our team uses — real-time agent activity, decision logs, performance metrics, and cost tracking. You can see every action your agents take at any time.
What's included in the monthly performance report?
Reports cover agent throughput and task completion rates, accuracy metrics vs. baseline, latency and cost trends, incidents logged and resolved, optimisations applied and their measured impact, and a forward-looking optimisation roadmap for the next month.
First, we build it.
Run AI without running operations.
Hand off the monitoring, optimisation, and scaling to FlockSoft. Your agents stay at peak performance while your team focuses on what they do best.