// SECTORFLOW ONE
Guardrailed AI agent management.
Your agents, your rules, on your stack.
The agent platform that survives a security review. Build, govern, deploy, monitor, and optimize every AI agent in your organization with audit, approval workflows, and tool-permission scoping built in.
// what you get
Five things every agent platform should do
Stay in control
Role-based access, human-in-the-loop approvals, signed and hash-chained audit logs, tool-permission boundaries, and multi-tenant row-level security — governance enforced by the platform, not promised in a policy doc.
No vendor lock-in
Agent definitions are version-controlled and owned by you. Swap models or providers, export everything in open formats, and leave through a contractually guaranteed exit — your cloud or a full handover.
Run any model
30+ LLMs across 9 providers — OpenAI, Anthropic, Google, Mistral, Groq, DeepSeek, Together, Meta Llama, and OpenRouter. Route each agent to the model that fits the job.
Built for production work
A Triage → Research → Action agent swarm plus Studio workflow orchestration with human-in-the-loop approval nodes. Designed to run real operations, not demos.
Plug into your stack
Native connections to Slack, Teams, ServiceNow, Jira, PagerDuty, Datadog, and AWS, Azure, and GCP. No rip-and-replace — agents work inside the tools you already run.
// the real bottleneck
Why governance is the real bottleneck
Most agent platforms get you to a working demo fast, then stall the moment your security team asks how access is scoped, how actions are logged, and what stops a prompt-injection payload from reaching a production system. The honest answer is usually a "responsible AI" link in the footer. SectorFlow One ships the product instead.
Row-level security is enforced across 73 tables. Every audit entry is HMAC-signed and hash-chained, so tampering is detectable rather than theoretical. A four-tier RBAC model decides who can build, approve, and deploy. Agent context permission boundaries cap exactly which tools and data each agent can touch, and prompt-injection defenses sit between untrusted input and any privileged action. That is the work that gets agents through a security review — and it is where most platforms stop.
// proof point
It handles serious production work
Incident response is our hardest proof case: a Triage → Research → Action agent swarm coordinated by Studio workflows with human-in-the-loop approval nodes, running against live systems under pressure. It demonstrates the platform — not the product itself. The same SectorFlow One runs sales, support, voice, and ITSM agents on exactly the same governed control plane.
See how it works in incident response// assess · build · operate
One platform underneath every engagement
SectorFlow One isn't a separate track — it's the foundation our Assess, Build, and Operate engagements all run on.
Assess
We map your operations and identify where agents earn their keep. SectorFlow One is the platform we evaluate against — so the roadmap is grounded in what can actually ship.
Build
Agents are built as version-controlled definitions on One, with RBAC, audit, and tool-permission scoping wired in from the first commit — not bolted on before launch.
Operate
One runs underneath every deployed agent — monitoring, approval workflows, and optimization in one governed control plane your team can audit at any time.
// ownership & exit
You own your app; you rent the cloud — and the contract guarantees the exit.
Your agent — definitions, workflows, prompts, knowledge bases — is owned outright, exportable in open formats, free forever. Your data — run history, documents, vector stores, audit trails — is owned outright too, with the exit format defined in the contract.
The runtime is the one thing you rent, and it comes with a real exit door: hosted by default, deployed single-tenant in your own cloud, or fully handed over under a perpetual license with source escrow. No termination penalty, no export fee.
The AI Agent Governance Scorecard
15 questions across audit, approvals, tool permissions, vendor lock-in, model portability, and prompt-injection defense. See where your current agent deployments would actually stand up in a security review. Free PDF, no calls, no spam.
Put your agents on a platform that survives the review.
Start with an AI Operations Assessment. We'll map where agents fit, what they're allowed to do, and how SectorFlow One keeps them governed in production.
// book an assess
Pick a time for your AI Operations Assessment
A 30-minute call to map where agents fit, what they're allowed to do, and how SectorFlow One keeps them governed in production.