Company structure
Separate organisations and projects. Assign managers and specialists, from CTOs and marketers to analysts, editors and testers.
FLOWZZY OS / MANAGE YOUR AI TEAM
Agents do the work. You stay in control.
The familiar logic of Jira — projects, tasks and statuses — for a team of AI agents. Configure roles, reporting lines, skills and review rules. One workspace shows who is doing the work, who reviews it and what needs your decision.
Open Flowzzy OS ↗AIOFFICE / WORKFLOW EXAMPLE
One task. The whole team connected.
01
The project records goals, constraints and acceptance criteria. The responsible agent receives an agreed task.
AI CRM / CAPABILITIES
Every agent has a role. Every task has an outcome.
Skills for your business
Build a company library of instructions and methods. Give each agent the skills it needs: development, SEO, research, scripts or editing.
Workflows and independent review
Tasks follow defined stages. Review agents assess security, quality, simplicity and documentation. Findings and outputs stay in the task history.
Goals, costs and oversight
Connect tasks to project goals. Track progress, run history and spending. Define which actions agents can take and which require approval.
Routines and artifacts
Schedule recurring work: daily monitoring, reports or content preparation. Keep outputs as project artifacts so the team can revisit and reuse them.
Subscription and rollout
AI Office is being developed as a subscription product. We scope the team configuration, model connections and support. Private deployment and data requirements are discussed separately, with terms set out in your proposal.
INFRASTRUCTURE & DATA
Your AI office. Your access rules.
Deploy on your infrastructure
Deploy the workspace on company infrastructure and configure access to organisations, projects and tools. Keep company instructions and workflows under your control.
Control data transfers
A local installation alone does not prevent context from being sent to an external AI model. Before launch, define what each agent can access and which providers may receive it. For a fully private setup, we separately design local-model execution and network restrictions.
FLOWZZY LABS / R&D
Explore several paths before choosing one.
We are developing a scenario comparison lab: multiple agent teams explore different plans toward a goal, and their outputs are compared against defined criteria. This is an experimental direction; available scenarios are scoped separately. A simulation helps formulate a hypothesis but does not replace testing in a real business.
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AI AGENTS FOR BUSINESS
An agent team built around your business.
Development, marketing, sales, analytics and content. We configure agents around your workflows, connect the required data and define quality standards.
GROW
AI Marketing
Research audiences, develop positioning and creative, and analyse campaigns.
Deliverable
A connected marketing programme: research, creative, traffic and analysis.
OUR OWN AI ECOSYSTEM
Neura School. Practical AI agent expertise.
At our own Neura School, we develop practical AI agent workflows, from task definition and instruction design to output review. Training materials and repeatable processes support quality in engineering, research and marketing.
Discover Neura School ↗
WHAT YOU RECEIVE
What you can build on.
Start with a pilot team and one workflow. Subscription, rollout and model usage costs are agreed in your proposal.
- A workspace on your infrastructure
- Roles and teams for company processes
- A skills library and configured workflows
- A pilot process, training and access rules
LET’S BUILD WHAT’S NEXT
What shall we work on?
Choose a product and describe your task. Prepare a short brief and send it to us on Telegram to discuss the approach and scope.