One runtime, not another glue layer
Integrations, processes, operational data, and agents share context, audit trails, and human approval—instead of iPaaS, scripts, and spreadsheets with no owner.
Solutions
Solutions for operations teams with one governed runtime
IT, BizOps, revenue, sales, finance, HR, delivery, production, and procurement run production workflows on the same tenant—integrations, ProcessFlow, Datapool, WebApps, and policy-bound agents with audit and human approval.
BizOps workbench
Exception queue → judgment → Datapool update
01 Queue02 Process03 Approve04 Datapool05 Audit
Ops queue · vendor_intake_exceptions · 09:30
3 items need judgment
duplicate tax_id · missing W-9 · credit hold override
INT-2041 · Acme Parts
openflag: duplicate tax_id in Datapool
assigned: you · SLA: 4h
Simulated view — tribal knowledge becomes auditable ProcessFlow with human approval when rules break.
Exception queue → judgment → Datapool update — what BizOps sees inside the tenant
Same runtime. Different teams. Different entry points.
Each operations team feels distinct pains—but the underlying gap is the same: no governed place to run work across integrations, people, and AI. Pick your team.
Replace tribal knowledge in email and spreadsheets with Process Automation, Datapools, and exception workflows your team can audit.
Replace tribal knowledge in email and spreadsheets with Process Automation, Datapools, and exception workflows your team can audit.
BizOps
Process Automation · Datapools · Agents
What operations teams get
One governed runtime replaces glue layers beside production work—with policy, audit, and paths to production that do not stall in pilot mode.
Policy before prompts
Guardrails, keystore, API scopes, and HITL let security and platform owners approve how work runs—not hope copilots stay in chat.
Production workflows, not pilots that stall
Design partners ship one governed workflow, optional tenant skills, and integration execute under policy—not platform login alone.
Problems we solve
Buyer pains map to platform capabilities—each team usually leads with one or two.
Pressure for AI without another disconnected copilot
Policy-bound Trace AI with tenant skills, HITL, and governed integration execute.
Operational data before the warehouse
Datapool — governed data layer
Workflow-centric records with merge semantics, quality, and lineage.
Builders need contracts, not tribal API knowledge
REST API, OpenAPI, scoped keys, MCP, and AI-assisted solution development.
Files scattered outside governed workflows
Documents, Files, and Content Distribution
Workspace documents, CDN, public docs, review links, and ProcessFlow file I/O.
Custom automation code is a security risk
Guardrails, keystore, sandbox profiles, API scopes, and human approval paths.
Integration sprawl without ownership
Governed connectors inside processes and agents—with history, Monitor, and audit.
Failures are opaque across processes and connectors
Platform Ops and Observability
Dashboard triage, Monitor logs, queues, worker health, audit trails, and LLM ops.
Operations logic trapped in people's heads
ProcessFlow with entities, documents, and step code when rules get non-trivial.
Customer-facing surfaces drift from backend reality
Public URIs and async process triggers on the same tenant as back-office flows.
Proof and evaluation
Reference workflows — Demo-aligned patterns for intake, HITL, and integration recovery.
Compare approaches — vs iPaaS patterns, app builders, and copilots.
Security pack — For InfoSec and platform evaluations.
Walk your team's workflow on the governed runtime.
Start with your ops team's pains—intake, exceptions, integrations, or compliance—and see ProcessFlow, Datapool, and policy-bound agents in one tenant demo.