Orchestration as a Service

TL;DR

• Orchestration as a Service is the platform layer that sits above AI agents and makes them work together.
• The category exists because every company is about to run many agents from different vendors with no shared governance.
• It covers three jobs: coordinating agents, governing their behavior, and ensuring they stop and ask a human for help at the decisions that should not be automated.
• FlowRunner is the first platform purpose-built for this category. Agent builders compete below it; we coordinate them.

What it means

Software vendors are racing to ship AI agents. Salesforce has them. Microsoft has them. OpenAI ships new ones every quarter. Niche startups ship agents for narrow jobs. Inside a year or two, the typical mid-market company will have agents from five to ten different vendors operating across its sales, finance, ops, and support workflows.

Nobody has thought through what happens next. Two agents try to update the same record. A human asks one agent for an answer that depends on data another agent owns. A compliance auditor asks who decided what and when, and the answer is scattered across vendor logs in five different formats.

That is the coordination problem Orchestration as a Service solves. The category has three responsibilities:

• Coordinate. Route work to the right agent. Resolve conflicts when two agents try to act on the same data. Hand off context cleanly between agents so the next one can pick up where the last one left off.
• Govern. Define rules the agents follow when they talk to each other. Produce the audit trails compliance and security teams need. Enforce limits on what each agent is allowed to do.
• Supervise. Pause when an agent hits a decision that should not be automated. Route that decision to a human through the channel they use. Resume cleanly once the human has answered.

The third responsibility is the one most easy to skip and the most expensive to skip. Agents that plow ahead through uncertainty produce confident wrong answers. Agents that know when to stop and ask a human for help produce trust.

What it is not

OaaS is not just an agent builder. Pure agent-building tools like LangChain, CrewAI, and OpenAI’s agent SDK focus on producing capable individual agents and stop there. OaaS includes agent building (FlowRunner does this through the Agent Factory) but adds the layers that make many agents work together: coordination, governance, and supervision. The Agent Factory is the entry point; the orchestration that surrounds it is the destination.

OaaS is not workflow automation. Tools like Zapier and Make connect SaaS apps by trigger and action. They do not coordinate AI agents that operate over time, ask questions, and need supervision.

OaaS is not iPaaS. Enterprise integration platforms like MuleSoft and Boomi move data between systems. They are not designed around agents as first-class actors that make decisions and need governance.

OaaS is not RPA. Robotic process automation drives keystrokes through legacy UIs. AI agents work at the data and intent layer, not the screen.

The way to think about it: agent builders ship the workers. OaaS is the floor where the workers coordinate, the supervisor that watches them, and the auditor that records what happened.

How FlowRunner implements it

FlowRunner is the first OaaS platform. The product is organized around three pillars that map directly to the three responsibilities of the category.

• The Agent Factory is FlowRunner’s visual and conversational interface for assembling AI agents from connectors, MCP services, other agents, and existing flows. It is how new agents enter the orchestration environment without an engineering team.
• The Agent Directory is a curated library of pre-built agents that are ready to deploy and reuse.
• The Code of Conduct is the platform-enforced governance layer that defines how agents communicate, escalate, and leave audit trails.

Human-in-the-loop is the supervision pattern that runs through all three. Agents do not just produce outputs and hope. They pause autonomously when they hit uncertainty, assemble the context and decision choices, route to a human through the right channel, and resume the moment the human responds.

Flow conversation is the complementary capability for ongoing dialogue with running workflows. Operators can query a flow about its state, give it new instructions, or steer it with fresh context without pausing execution. Where human-in-the-loop handles the agent-initiated pause for a decision, flow conversation handles the human-initiated check-in or instruction.

The result is a platform a COO can buy with confidence today (it eliminates the manual processing eating their team’s time) and that becomes more valuable every quarter (as the company adds more agents that need coordination).

Where the term comes from

Orchestration as a Service is the category FlowRunner is naming. Other vendors describe what they do as workflow automation, AI agent platforms, or intelligent automation. None of those names captures the coordination, governance, and supervision job that becomes critical when a company runs many agents.

The naming choice is deliberate. Orchestration is the right verb because the job is to make many actors play in time, not to produce any single output. As a Service signals that it is a platform commitment, not a feature. The platform takes responsibility for the orchestration; the customer does not have to build it.

A category name is a bet that the industry will need a word for this job before too long. FlowRunner is the bet.