From reactive, siloed operations to an Enterprise Brain with SRE agents on top

SRE Agents turn production operations from reactive and siloed into proactive and correlated. A crew of specialised reliability agents stitches your existing monitoring tools into one Enterprise Brain, watches every journey, and resolves incidents through automated detection, root-cause analysis and approved remediation, with a human in the loop.

They replace no tool. They sit on top of what you already run, learn normal behaviour per service, and compound: faster detection, faster resolution, less noise, fewer tickets, and a brain that gets smarter with every incident.

Figures are directional and the baseline is set in a short discovery. First value lands at stitching; the gains compound as the brain learns your estate.

A large enterprise runs a sprawling estate of applications monitored by different tools that never speak to each other. Reliability is human-powered and reactive: an alert fires, and on-call pieces the story together by hand across dashboards. The cost is slow detection, slow resolution, alert fatigue and a support queue that grows faster than the team.

• Siloed monitoring: real-user monitoring, application performance monitoring and synthetic checks run apart, so an app failure is never automatically tied to its backend cause.
• Slow root cause: a spike takes 30 to 45 minutes, sometimes 1 to 2 hours, to trace by hand across scores of business transactions and services.
• Alert noise: thousands of alerts flood on-call, burying the one incident that actually matters and driving fatigue.
• No service-to-user view: a "1 percent failure" metric never says how many real customers could not log in or pay, right now.
• Manual ticket load: thousands of support tickets a month are triaged and resolved largely by hand, with no reuse of past fixes.
• Reactive, not proactive: problems are found after customers feel them, because nothing is walking the journeys ahead of a release.

Our solution is a journey, built from the ground up. First we build the Enterprise Brain. On it we form a Stitched Telemetry Graph that correlates every signal. On that we layer a Service Ontology, the shared language of your estate. Only then do the SRE agents go to work on top, and the AI Lens keeps every layer current.

The heart of the solution is stitching. We connect to the tools you already run, correlate their signals on shared keys, and build one journey view from the customer's device all the way to the backend service. This is the foundation every agent reasons on.

• Any tool, any signal: real-user monitoring, application and infrastructure monitoring, synthetic checks, logs and ITSM, ingested in any format.
• Correlated on shared keys: user, request, trace and business identifiers tie a mobile tap to the exact backend service and its dependencies.
• Coexistence, not replacement: your observability stack becomes the data lake; the brain and agents sit on top, so nothing is ripped out.

On the stitched graph we build a unified command centre. Each surface, mobile and web, has its own correlated view, and a common view spans them all. The reverse view turns a service metric into real customer impact, live.

The AI Lens for operations is the loop that keeps the brain, graph and ontology current. It detects anomalies against learned baselines, diagnoses the true cause across the stitched graph, and acts with human approval, collapsing alert noise into the single incident that matters.

This is the engine of continuous improvement. Every incident and every fix feeds back, so detection gets faster and automated remediation becomes safer over time.

With the brain, graph and ontology in place, the SRE Maestro agents do the reliability work. Each is a specialist; all draw on the same foundation, so every action is consistent, explainable and auditable.

• Watchtower agent: watches every surface, detects anomalies against baseline and triages what matters.
• Correlation agent: stitches a symptom to its cause across the service graph in real time.
• RCA agent: pinpoints root cause in minutes and writes the explained analysis back to the brain.
• Exception agent: classifies errors by business transaction and maps each to its real customer impact.
• Remediation agent: proposes or runs the fix, always with human approval and full guardrails.
• Ticket and Report agent: auto-creates, categorises and deflects repeatable tickets, and evidences every incident.

The savings come from four compounding effects: faster detection, faster resolution, less alert noise and higher ticket deflection. Each lands in sequence as the brain learns your estate, building to a steady-state return of 3 to 5x.

Where the savings come from

All figures are directional; the baseline for your estate is measured in a short discovery, and the business case is built against it.

The honest trajectory: first value at stitching, then diagnosis, then automation, then earned autonomy. Nothing acts on production blind; a human stays in the loop until the brain and guardrails prove themselves.

Stitch one estate, prove the savings

Give us one or two live services and the tools that watch them. We stitch their signals into the Enterprise Brain, stand up the command centre, put the SRE agents to work, and show the detection and resolution gains before you commit further.