Ops Pillar · AI & ML Ops

Keep every model and agent
healthy in production.

AI & ML Ops gives you telemetry for models, AI agents, prompts and executions in one place: live performance and cost, quality and feedback signals, a studio to build and govern agents, and the access controls to run them safely, then hands it all to Sentinel AI to act.

Agent & model telemetry Quality & feedback Agent studio Knowledge grounding Governed access
What is AI & ML Ops

Operations for the AI you put into production.

Teams ship models and AI agents, then lose sight of how they perform, what they cost, and whether users trust them. AI & ML Ops brings telemetry for models, AI agents, prompts and executions into one place, with live performance and cost, quality and feedback signals, a studio to build and govern agents, knowledge grounding, and role-based access, so what you launch stays healthy, affordable and accountable.

Agent & model telemetry

See performance, cost and reliability, live.

Track request volume, token usage, cost per thousand requests, response time and success rate across every agent and model, filtered by agent and time window. When executions fail, failure-reason analysis groups them by cause so you fix the pattern, not the symptom.

  • Requests, tokens, cost per 1k and latency in real time
  • Pass and fail counts with failure-reason analysis
  • Per-agent filtering across any time window
Performance analysisAll agents
PASSexecutions completing successfullyMost
TOKENSusage & cost per 1k trackedIn budget
LATENCYaverage response timeLow
FAILgrouped by failure reasonReview
Quality, feedback & drift

Know whether users actually trust the output.

Performance is only half the story. AI & ML Ops captures user satisfaction and quality signals, lets you review real conversations end to end, and surfaces feedback engagement so you catch quality drift, not just outages, before it erodes trust.

  • User satisfaction and quality signals per agent
  • Full conversation review, request to response
  • Feedback engagement trends to catch quality drift
Feedback & conversationsQuality
POSITIVEhelpful responses, thumbs upRising
FLAGGEDresponses users marked unclearReview
CONVOopen a full conversation trailReplay
DRIFTquality trend versus last periodTracked
Agent studio

Build, connect and version the agents that run.

An agent studio to manage everything an AI agent needs: onboarded applications, versioned prompts, tools, skills, and the MCP and agent-to-agent servers that let agents call systems and each other. Ship changes deliberately, and see their effect in the telemetry.

  • Onboarded applications, prompts and skills, versioned
  • Tools plus MCP and A2A (agent-to-agent) servers
  • Prompt and configuration changes reflected in telemetry
Agent studioComponents
Onboarded applications Prompts Tools Skills MCP servers A2A servers
Everything an agent needs to run, in one place.
Knowledge & grounding

Keep agents accurate and on-domain.

Ground agents in your own knowledge and language. A knowledge cache, hints, named entities and synonyms keep responses accurate, consistent and speaking your organization's terms, so quality is engineered in, not left to chance.

  • Knowledge cache for grounded, current answers
  • Named entities and synonyms for your domain language
  • Hints to steer agents toward the right behavior
Knowledge & groundingConfiguration
CACHEknowledge cache, grounded answersFresh
ENTITIESnamed entities recognisedMapped
SYNONYMSyour domain vocabularyApplied
HINTSbehaviour guidance for agentsActive
Governed access & audit

Least-privilege for every agent and data source.

AI needs the same guardrails as any other production system. Role-based permission groups control exactly which services, APIs, data sources, agents and knowledge caches a user or agent can reach, and configuration and data-import audits keep a complete, reviewable trail.

  • RBAC permission groups over services, data and agents
  • Least-privilege access, provisioned at scale
  • Configuration and data-import audit trails
Access & governanceRBAC
GROUPpermission groups by roleActive
SCOPEservices, data sources, agents, knowledgeScoped
POLICYleast-privilege enforcedOn
AUDITconfiguration & data-import trailComplete
Powered by Sentinel AI

AI & ML Ops sees. Sentinel acts.

AI & ML Ops does more than chart a rising cost or a failing agent. Every signal, performance, cost, quality, feedback and access, feeds Sentinel AI, the intelligence component at the core of Ops Singularity, which resolves issues through governed, reversible Action Tickets.

Roll back a bad prompt, reroute an over-budget model, revoke an over-broad permission, every step explained with citations and fully audited.

1
Observe
AI & ML Ops correlates performance, cost, quality, feedback and access signals.
2
Investigate
Sentinel AI finds the root cause across agents, prompts and models and picks the fix.
3
Act
ProcBot executes the approved MOP, roll back, reroute, rescope, through a reversible Action Ticket.
4
Optimize
Sherlock validates the outcome and feeds the learning back to keep quality and cost in line.

See AI & ML Ops on your own agents.

Book a walkthrough and see live telemetry, quality signals, an agent studio and governed access, on models and agents that look like yours.