AI SRE grounded in operational evidence
Investigate production issues across your existing stack with parallel hypotheses, evidence from source systems, calculated confidence and explicit verification conditions.
Opsphere adds an investigation layer; it does not replace observability, on-call or the engineers responsible for production.
AI SRE WITHOUT THE BLACK BOX
Operational answers need evidence and boundaries
AI SRE can describe detection, coordination, investigation or remediation. Treating those workflows as interchangeable hides important differences in data ownership and permissions.
Opsphere focuses on evidence-backed operational investigation across systems your team already runs.
A defined operating model: Source systems remain authoritative, unknowns stay visible and production changes require explicit authorization.
Evidence is fragmented
Deployments, infrastructure state, logs, alerts and code changes live in separate systems.
An answer is not a finding
A useful investigation separates observed facts, inferences, contradictions, confidence and unknowns.
Access needs boundaries
Operational investigation should not silently become permission to change production.
HOW OPSPHERE FITS
AI SRE for evidence-backed investigation
Opsphere connects operational sources, tests hypotheses and returns structured findings while the underlying systems retain their data and authority.
Connect existing systems
Query infrastructure, observability, deployments, code and edge through one governed operational layer.
Investigate with evidence
Evaluate parallel hypotheses against supporting and contradicting evidence, confidence and verification conditions.
Retain useful context
Reuse relevant relationships and prior investigation knowledge without treating old context as current truth.
EVIDENCE-BACKED INVESTIGATIONS
From operational question to verifiable finding
High-level workflows can return hypotheses, observed facts, evidence, calculated confidence, a timeline when timestamps exist, unknowns and conditions that confirm or reject the finding.
- Question
- Hypotheses
- Evidence
- Confidence
- Verification
CLEAR CATEGORY BOUNDARIES
Works with observability and incident management
Observability systems own telemetry. Incident-management systems coordinate people and response. Opsphere adds cross-system investigation and operational context alongside them.
Operational intelligence complements the systems of record; it does not replace them.
MODEL AND CLIENT CHOICE
One operational layer across AI workflows
Use the same governed operational capabilities from supported MCP clients such as Cursor, Codex and Claude, or from the Opsphere Web Client. Model choice stays separate from operational evidence and guardrails.
Different interface. Same operational layer and boundaries.
READ-ONLY BY DEFAULT
Investigate without silent production changes
Opsphere is read-only by default. Selected integrations may expose governed actions only when the tenant enables them and an authorized user explicitly approves them.
Tenant isolated · Account aware · Environment scoped · Auditable
OBSERVED RESULT
From 40 minutes to 2 across repeated investigations
After introducing Opsphere, one customer reduced the time needed to identify the problem from 40 minutes to 2 in at least five investigations by connecting and correlating evidence from multiple tools.
This measures time to identify the problem in specific observed investigations, not time to resolve it or a guaranteed future outcome.
KEEP EXPLORING
Explore the operating model
DIRECT ANSWERS
Key facts about AI SRE grounded in operational evidence
A concise, verifiable summary based on the capabilities and operating boundaries described on this page.
- What does AI SRE grounded in operational evidence do?
- Investigate production issues across your existing stack with parallel hypotheses, evidence from source systems, calculated confidence and explicit verification conditions.
- How does AI SRE grounded in operational evidence work in practice?
- Opsphere connects operational sources, tests hypotheses and returns structured findings while the underlying systems retain their data and authority.
- Does Opsphere change production systems?
- Opsphere is read-only by default. It queries connected source systems, correlates evidence and recommends next steps; source systems remain authoritative.
GET STARTED
Investigate production with evidence
Connect the systems you already use and evaluate Opsphere against a real operational question from your environment.