Operations program
Managed AgentOps
A production operating layer for integrations and AI agents that need reliability, governance, escalation paths, and quarterly improvement discipline.
Operator signals
Run, Assure, and Control across the live workflow estate.
Built for teams already in production that now need service levels and governance, not just another build.
Turns fragile integrations and drifting agents into an operated system with accountability.
When Managed AgentOps is the right move
Best fit
- Teams already running production integrations or AI agents that now need operational discipline.
- Organizations that want one partner accountable for reliability, observability, governance, and continuous improvement.
- Leaders who need escalation paths, service levels, and quarterly roadmap reviews instead of ad hoc support.
- Programs where workflow downtime, agent drift, or silent failures create real business risk.
Usually the wrong fit
- Buyers still choosing their first workflow and not yet in production.
- Projects that only need a one-time build with no operating support model.
- Teams expecting unlimited net-new delivery work under an operations retainer.
- Organizations unwilling to define owners, escalation contacts, or change-control expectations.
Three pillars
Run · Assure · Control
Integration SRE
Enterprise-grade operational reliability for your integration infrastructure.
- 24/7 monitoring & automated alerting
- Incident response with MTTA/MTTR targets
- Root cause analysis & post-incident review
- Proactive upgrades & security patching
- Performance tuning & optimization
- Capacity planning & scaling support
AgentOps / LLMOps
End-to-end observability and quality assurance for AI agents in production.
- Tracing across all agent steps & tools
- Latency, error rate & token cost dashboards
- Evaluation harness & regression testing
- Prompt versioning & safe rollout/rollback
- Drift detection & quality monitoring
- Retrieval quality & tool reliability metrics
Governance
AI lifecycle governance aligned to NIST AI RMF and enterprise standards.
- Audit trails & policy enforcement
- Prompt injection & data leakage detection
- PII redaction & compliance controls
- Risk review & approval gates
- Model/agent refresh cycles
- Cost control & usage reporting
What happens in the first 30 days
Managed AgentOps starts by making the current estate understandable, measurable, and safe to operate before optimization work expands the footprint.
Stabilize
Inventory integrations, agents, secrets, dashboards, and alert paths. Confirm what is in scope and where the current failure modes are.
Instrument
Stand up the monitoring, tracing, alerting, and governance checks needed for the current production estate.
Harden
Tighten runbooks, escalation logic, access reviews, and rollback criteria so the operating model is usable under pressure.
Baseline
Capture latency, error rate, incident history, and support load so future optimization work has a real benchmark.
Severity & Response Matrix
| Severity | Definition | Response | Resolution |
|---|---|---|---|
| P1 Critical | Production down, business impact | 15 min | 4 hours |
| P2 High | Major degradation, workaround exists | 1 hour | 8 hours |
| P3 Medium | Partial impact, non-critical | 4 hours | 24 hours |
| P4 Low | Minor issue, no business impact | 1 business day | 5 business days |
Operating cadence and recurring deliverables
Cadence
- Weekly operating review covering incidents, changes, risk items, and open actions.
- Monthly service report with uptime, response times, trend lines, and governance exceptions.
- Quarterly roadmap review to decide what to optimize, retire, or expand next.
- Change-control and release discipline for prompts, workflows, connectors, and policies.
Recurring outputs
- Updated runbooks and escalation paths as the workflow estate evolves.
- Incident reviews with root cause, remediation steps, and prevention actions.
- Access and governance reviews for connectors, secrets, models, and operators.
- Recommendations for the next automation backlog based on operational reality, not guesswork.
Scope & Boundaries
Included
- Integration runtime & connector monitoring
- AI agent orchestration & tool execution
- API gateway & webhook reliability
- Data pipeline health & throughput
- Security posture & access control
Not Included
- Third-party SaaS uptime (covered by their SLAs)
- Custom code changes (handled via Sprint)
- Net-new integration builds
- End-user training & enablement
Focus on your business, not your integrations
Let our dedicated team handle the complexity of integration operations so your team can focus on higher-value work.