Bring your organization onto an AI Runtime
The Firefly product, in detail
How we see Agents
An Agent's business loop = Data → Refinement → Execution → Feedback. It's a loop — the point is continuous correction.
Data
Business data, organizational context, employee experience, external signals
Refinement
Understand, judge, structure
Execution
Suggest or act
Feedback
Execution results flow back and correct the previous three layers
We standardize execution behavior, not execution results
Execution results are dynamic — leadership decisions reshape SOPs, platform algorithms shift, market sentiment moves ad strategy. Results change every day. Execution behavior can be stable — what data to pull, how to refine, how to decide, how to route feedback back. These are stable engineering actions. When results change, the Agent self-adjusts along the feedback loop.
An Agent's true asset is implicit knowledge made explicit
The real commercial value of an Agent isn't which model it calls or which tool it integrates —
It's that the Agent extracts the unspoken knowledge inside the organization and turns it into a persistent company asset.
- ·Veterans' judgment heuristics
- ·Cross-team unspoken rules
- ·Yearly big-sale landmine knowledge
- ·The reasoning behind decisions
- ·Structured business rules
- ·Queryable decision basis
- ·Agents can consume directly
- ·Humans keep refining over time
These are the organization's unique core assets. When an Agent carries your company's implicit knowledge, it becomes your company's Agent — a depth that generic external Agent vendors cannot reach.
Six capabilities in detail
Digital twin of your org
Map real departments / employees / reporting lines into a digital skeleton AI can execute on. The same org tree serves four uses: RBAC tree, collaboration routing table, SOP assignment scope, knowledge accumulation unit.
Dedicated Agents
One Agent per employee. Persistent identity, layered memory (company scope / personal scope), growable skills. When an employee leaves, the Agent is archived — but memory, history and skills stay with the organization.
A2A lateral protocol
Agents stop relying on group chats to align. They talk laterally via the A2A protocol. Seven message types — inform / sync (silent), request / commit / handoff (dual approval), escalate / block (mandatory) — cover the full spectrum.
Human-in-the-loop gates
AI always proposes, humans always decide. Every key gate requires a human press, every press is logged in the audit table. AI output must come with suggestion + reasoning + red flags — never just a conclusion.
Collective intelligence
When one Agent isn't enough, convene a meeting. Four rounds of iterative speaking ensures perspectives are heard. Structured minutes with four columns (decision / dissent / actions / risks). Drift detection auto-summons a human. Minority opinions are first-class.
SOP engine
Compile organizational SOPs into executable DAGs. LLMs extract candidates from existing docs, Agents revise from each department's perspective, humans approve node by node before publishing. Every node's result is logged. Incident replay in one second.