Build
PagerDuty, GitHub, Slack, Jira as operational products — fail-open publish on the hot path.
Platform engineering & SRE
GA wedgeAI-SRE-ready context plane: incidents, deploys, and on-call evidence as governed dept.* products — agents that investigate with lineage, not another alert chat box.
Vertical map (2026)
2026 AI SRE category is flooded with alert-correlation agents; durable gains come from agents that reuse change + incident history under governance (context engineering), not one-shot log chat.
Head of PlatformSRE / Reliability leadDevOps managerCTO of product company
Steer
MCP tools for health, incident trace, and mesh compose with tenancy + audit.
Compound
RCA quality evals on your needles; institutional memory of similar incidents across seasons.
| Workflow | Buyer pain | Mesh answer |
|---|---|---|
| Incident investigation | Alerts without change context; humans re-discover the same failure modes every quarter. | Incident link-enrich: page → PR → Slack war-room → prior similar incidents on dept.engineering. |
| Multi-tenant platform ops | Internal platform incidents lack a single operational narrative for agent copilots. | platform-sre use case: run reliability ops on the same mesh customers will run. |
| Deploy risk & change | Deploy and feature-flag context lives outside the incident timeline. | GitHub deployment + check-run streams as first-class operational facts for agents. |
- Operational mesh
- Knowledge mesh
Learning loop thesis
AI SRE in 2026 fails when agents only chat logs. Wins come from change + incident + war-room context that compounds under governance — the operational mesh GA path.
- Build: PagerDuty, GitHub deploys, Slack war rooms, and Jira as operational products.
- Steer: MCP incident trace and health tools with tenancy and audit on every invoke.
- Compound: RCA quality on your needles; similar-incident memory that survives model swaps.
Outcomes to measure
- MTTR leading indicators: time-to-linked-PR and similar-incident recall
- Platform incidents as first-class products agents can query via MCP
- Change-aware investigation without pasting deploys into a chat window
Connector focus
Aligns with Platform Integrations readiness — GA ops path first; knowledge/analytical where marked Beta.
- PagerDuty
- GitHub
- Slack
- Jira
- Confluence
Related use cases
Packaged workflows and starting points for this vertical map.