Real-time
Live pulse rates and ordered stream state from operational heartbeats agents subscribe to under MCP policy. Incidents, tickets, deploys, pipeline stages, scoped by tenant and department.
Build · Steer · Compound
Platform, SRE, and RevOps teams own governed agent context on dept.* products with private evals before scale. Self-serve is live — cards below are templates until signed references land.
Live operational context into owned learning loops — private evals, department tenancy, measurable signals instead of chat demos.
For platform, SRE, and RevOps teams shipping production agents on governed facts. Self-serve Base is live. Outcome shapes: incident RCA, account health that survives handoffs, Build · Steer · Compound across verticals.
Teams shortlisting I/O Mesh do not buy chat demos or logo walls. They evaluate whether agents can run on real-time ops heartbeats, short-term stream history, and longer analytical or institutional patterns under department tenancy—with private evals on their facts before scale.
Full organizational heartbeat: live operations, knowledge memory, and analytics patterns — department-scoped, policy-gated. This customers page is early-stage proof framing: workflow maps and private-eval paths, not invent logos or case-study ROI percentages.
Agents need all three horizons on one governed mesh.
Live pulse rates and ordered stream state from operational heartbeats agents subscribe to under MCP policy. Incidents, tickets, deploys, pipeline stages, scoped by tenant and department.
Hours to days of stream history and rolling operational context. Lineage agents can cite. Do not invent 1h/24h/7d product windows.
Analytical history and institutional patterns under tenancy. RCA themes, seasonality, board-ready narratives. Do not chip a status.
One fabric, three signals: live operations, knowledge, and analytics — department-scoped, policy-gated.
Tickets, incidents, deploys, and customer updates, organized by team. The primary heartbeat a reviewer can see after a source, a stream, and a signed event.
Docs, runbooks, and memory of past heartbeats. What previous activity meant. Reviewers can open this layer in the product; do not chip it as a readiness label.
Patterns and trends across heartbeats so agents see beyond the moment. Same rule: describe the layer, do not chip a status.
Cards below are template storyboards mapped to real use-case workflows—incident RCA, account health, and more—not named-customer case studies.
Leading and lagging signals measured on your facts under department tenancy. Private evals beat vendor-invented lift percentages every time.
Self-serve is live. Signed references and logos will replace templates when they exist. Until then this page is evaluation structure, not social-proof theater.
Deep templates with measurable outcome signals — swap for signed narratives when references exist.
Template · Engineering
How an engineering team compounds RCA context — PagerDuty + GitHub + Slack evidence on dept.engineering with MCP recall that improves across incidents.
Placeholder cards for sales conversations — linked to use-case maps and signup. Not logos.
Template · Customer success
A CS-led learning loop merging Zendesk + Salesforce into dept.customer_success — renewal judgment that survives model and team changes.
Start with this use case →Each card maps to a real workflow: dept.* products, policy-gated MCP, Build · Steer · Compound — prove lift before scaling inference.
Create a workspace on one workflow. Measurement stays on your facts — no public customer lift % on this page.
Create a workspace (from $132/mo), or explore use cases, security, and platform. Templates now; signed references when available — product access is live either way.
Self-serve Base · private evals on your facts · no public lift % claims