LoopCompound™ · Build · Steer · Compound
I/O Mesh is a live operational data mesh for agents — domain-owned dept.* products from ops connectors, docs, warehouse analytics, mesh routing console, GTM suite, and automation studio on one governed fabric. LoopCompound™ maps Build · Steer · Compound to portal surfaces so workflow context compounds inside your firm when frontier models change.
Methodology · LoopCompound™
Every module below maps to a loop beat — connectors and MCP for Build, memory and mesh console for Steer, billing meters and evals for Compound.
~minutes · Agentic execution
Governed autonomy — agents iterate on real operational facts, not sandbox prompts.
Close the inner loop with versioned eval harnesses, dept.* publish, and MCP tools on live connector ingress — disentangle mechanical vs cognitive failures before you blame the model.
~hours · Developer steering
Context advantage — owners steer with dashboards and memory, not QA ticket farming.
Humans refine specs on operational context — Agentic Memory Palace recall, mesh routing console, and onboarding surfaces.
~days–weeks · Firm compounding
Firm IQ compounds — prove workflow lift from real usage before you scale agent spend.
Leadership sees what agents consume and whether they improve — usage billing, funnel proof, and private benchmarks on your operational facts.
Five modules on one dept.* fabric — mesh routing console, GTM suite, CRM connectors, and automation studio on governed dept.* streams.
Domain-owned dept.* streams from ops, docs, and warehouse connectors — link enrich, catalog contracts, and MCP compose on one fabric.
Integrations · Data products catalog
Broker admins configure streams, processors, subject scopes, and policy preview from settings — no separate admin console required.
Settings → Mesh routing
Self-serve marketing ingress and pipeline tooling — custom webhooks, first-class Mautic/Matomo, campaigns, attribution, and CRM API.
Integrations · Settings → Marketing
YAML DAG workflows with visual canvas, n8n handoff, and mesh publish nodes — governed batch paths without retiring your existing automations.
Settings → Automation studio
Sovereign learning loops for regulated evaluators — SSO, SCIM, IdP scope sync, and HIPAA marketing pack mapping.
Settings → Security · Marketing HIPAA
Connectors group by mesh layer — each bills as a usage meter. Custom webhook receivers cover n8n, Grok/Hermes, and any HMAC-capable HTTP client.
Live SaaS workflow events — incidents, tickets, CRM, and engineering signals.
Wiki and drive changes as first-class dept.* products with governed recall.
dbt metrics, warehouse CDC, and streaming embeddings as agent-ready live views.
Webhook fabric, automation completions, and CRM ingress for growth engineering.
Self-serve broker configuration from Settings → Mesh routing. Core streams, processors, and scopes are included with your workspace; advanced federation and policy tooling unlock via the Governance add-on, IdP scope sync via Compliance.
Create and delete dept.* streams and enrich processors from the portal with broker audit trails.
Department subject ACL bindings with inline Rego/OPA policy preview before save.
Bridge NATS dept.* subjects to Kafka topics for downstream analytics pipelines.
Cross-org field masks with multi-region preferred+fallback routes tied to federation grants.
Load bundle modules, draft Rego AST, evaluate, and preview mesh policy without persisting bundles.
Broker-side sampling and route traffic analytics for SRE and platform operators.
Customer mesh write audit timeline and federated mesh audit JSON export for evaluators.
Map SSO group claims to dept.* subject patterns automatically on membership change.
Classic data mesh distributes ownership: each domain publishes discoverable data products with contracts and governance — not one central lake every team copies. In 2026 the shift is toward dual-use products agents consume at event time, not batch snapshots.
I/O Mesh starts where agents need freshness — operational facts from SaaS tools — and extends the same dept.* tenancy to documents, warehouse tables, and semantic layers without a company-wide vector dump.
Business domains own their data products — context, meaning, and quality live with the team that produces the work.
On I/O Mesh today: dept.* streams per department (engineering, sales, CS, support, finance, legal) with tenant isolation — not a shared memory bucket.
Publish addressable, trustworthy assets with clear consumers — event streams, live views, and agent output ports instead of ad-hoc exports.
On I/O Mesh today: Connector-normalized events on dept.{domain}.events.{source}, link-enrich advisories, and MCP tools as governed output ports.
Central plumbing (tenancy, audit, metering) so domain teams ship without rebuilding pipelines per project.
On I/O Mesh today: Customer portal signup, integrations UI, usage-metered ingress, and memory billed by ingest volume.
Automated guardrails and policy — not committee gates — so risk scales with product velocity.
On I/O Mesh today: Visual Rego policy editor with mesh preview, field-level ABAC federation grants, traffic tap and analytics, federation routing, and write/federation audit exports — advanced mesh via Governance add-on, enforced at ingress and MCP invoke.
Live events from how work actually runs — incidents, tickets, CRM, PRs, Slack — the read side agents need for decisions in the last five minutes.
Docs and wiki changes as first-class dept.* products — runbooks, PRDs, policies, and drive files versioned with the same tenancy and recall as ops events.
Dual-use data products: dbt metrics live views, warehouse CDC federation, and streaming embeddings as governed dept.* output ports — FAIR metadata, contracts, lineage, and MCP catalog discovery.
Same dept.* tenancy and learning loop across ops, docs, analytics, catalog contracts, and governance — five phases on one fabric. Browse the data product catalog for subject patterns, consumers, and contracts per dept.* stream, or view the FAIR provenance dashboard for evaluator alignment checks.
Domain-owned dept.* streams from live SaaS connectors with enrich, memory, and governed agent tools.
Wiki, drive, and doc platforms ingest as dept.* events — same learning loop as ops, with catalog discovery.
Self-serve discovery, versioned schemas, lineage, and quality signals in the portal — contract enforcement opt-in.
Pre-computed live views and semantic layers as agent output ports — dbt, warehouse CDC, and embeddings ingress.
Federated rules enforced at ingress and tool invoke — versioned policy bundles and FAIR catalog metadata.
operational mesh
On-call and engineering domains publish linked incident → PR → Slack products agents trace for RCA.
operational mesh
Sales and support domains merge CRM + ticketing events into renewal-ready context without spreadsheet exports.
knowledge mesh
Product and engineering docs versioned on dept.* — agents cite the runbook that matches the live incident.
knowledge mesh
Legal domain owns vendor contracts and policies linked to finance transactions and support escalations.
knowledge mesh
Sales playbooks and battlecards stay in sync with CRM opportunity events — not a stale doc index.
analytical mesh
Semantic metrics and dbt models published as governed products — agents read pre-computed truth, not warehouse SQL.
analytical mesh
Snowflake and BigQuery table CDC on dept.* views — federated upstream to dbt metrics lineage without warehouse SQL in agent prompts.
Step 1 · connectors
Ops, docs, warehouse, and GTM connectors → dept.* events with signed webhook audit — workflow and marketing facts that feed your learning loop.
Step 2 · broker
Governed publish/pull on dept-scoped streams with plan gates and metering — token capital routed by department, not one shared bucket.
Step 3 · enrich
Cross-table advisories (incident → PR → Slack) without blocking hot-path ingest — evidence chains that compound across workflows.
Step 4 · memory
Governed institutional recall — agents remember what your firm learned from live workflows, scoped by department, and yours when models change.
Step 5 · mcp
Department-scoped tools for copilots — summarize health, trace incidents, recall context your firm has already encoded.
Agentic Memory Palace is I/O Mesh's institutional recall layer — how copilots remember what your firm learned from live work, across sessions and model swaps, without one company-wide search dump.
Connectors → dept.* broker → link enrich → agent memory → MCP / HTTP context APIs Fail-open: memory never blocks publish · Plan gates at ingress · Metered SaaS
LoopCompound™ names three nested loops on operational facts. Read the loop engineering guide and take the readiness assessment before you activate a kickoff workspace.
MIT Sloan recently argued that AI put data back at the center of strategy — but tools alone don't guarantee better decisions. Learn how context liquidity on the operational data mesh closes the agent pilot gap.
Start with GTM scale context — pay for usage meters as workflow volume grows and add governance packs when private evals need advanced controls.