Why we started
Most companies were running isolated AI experiments: one team had a chatbot, another had a script, another had a prototype no one could safely reuse.
There was no shared marketplace, no standard operating model, no clear governance boundary, and no reliable way to prove what an agent did before a human or workflow acted on it.
We built Flockion to turn that scattered activity into an accountable operating model for agentic work.
What we solve
The missing operating layer for agentic AI.
Flockion combines the product surfaces enterprises need to move from experimentation to daily operation: builder, marketplace, runtime, governance, Knowledge Hub, observability, and Command Center.
From pilots to operations
Replace scattered chatbot and script experiments with reusable agents, teams, skills, tools, and operating workflows.
Governance before execution
Policy, approvals, HITL, output contracts, and audit receipts are part of the runtime rather than after-the-fact review.
Reuse instead of rebuild
Teams can discover, fork, adapt, and operate agent assets without starting every AI initiative from zero.
Enterprise control
Flockion can run in the customer's Azure tenant so identity, data, logs, security controls, and residency stay under customer control.
Operating model
Not a chatbot. A governed work system.
The product is designed around the full lifecycle of agentic work: create it, govern it, operate it, learn from it, and reuse it.
Build
Compose agents, teams, skills, tools, knowledge sources, and reusable templates.
Govern
Apply org policy, approval gates, budget controls, tool limits, and output contracts.
Operate
Run work with timelines, proof, cost visibility, HITL, retries, and Command Center oversight.
Reuse
Fork, adapt, publish, and improve agent teams as durable organizational assets.
Who uses Flockion
Built for teams that need accountable AI work.
Flockion is for people who need agents to participate in real workflows, not sit beside the business as another disconnected chat surface.
Operators
Teams that need repeatable AI workflows running reliably at scale.
Founders
Lean companies that need research, support, monitoring, and execution capacity without adding heavy headcount.
Analysts
People who need grounded research, summarization, monitoring, and evidence-backed output every day.
Security & Compliance Teams
Organizations that need policy enforcement, audit trails, approvals, and risk review agents.
Platform & Cloud Teams
Engineers who need architecture review, cost tracking, incident triage, and cloud governance automation.
Regulated Enterprises
Banks, insurers, pharma, public sector, and large companies that cannot move agentic AI into a black box.
Our mission
To give every team, from a five-person startup to a ten-thousand-person enterprise, the tools to build, govern, and operate AI agents safely, transparently, and at scale.
Agents should produce evidence, not just text.
Autonomy should be controlled by policy, approvals, and observable runtime behavior.
Private work should stay private unless a user explicitly shares it.
Enterprises should get product speed without giving up tenant control.
Headquarters
Mulinenstr. 23, 3006 Bern, Switzerland.
We are a distributed team of engineers, designers, and AI researchers building the future of governed agentic work.
Customer-controlled enterprise deployment
Your Azure tenant. Your data. Your controls. Flockion's agentic AI platform.
Build the operating model for intelligent work.
Start with an evaluation workspace, then scale into governed teams, reusable workflows, and customer-controlled enterprise deployment.