One model of how your company runs
Roles, rules, processes, handoffs and who decides what, in a form a machine can execute.
Every agent runs on one model of how your company works. Start with one agent, scale to an organization of agents. Let intelligence compound.
Underwriting builds one, claims builds another, and nobody can say which applies when a case crosses both.
of the workweek goes to meetings, calls and email — the coordination between teams that moves work forward. Task-by-task agents run the tasks; this is the part they can't touch.
Harvard Business Review, Collaborative Overload, 2016
If you want to scale to an organization of agents, this is what you're missing:
Roles, rules, processes, handoffs and who decides what, in a form a machine can execute.
A rule in a prompt is only a request, and agents talk their way out of requests.
Most of it was never written down, and no one can say what will matter until it does.
You don't need a better AI model. You need a structured way to describe how your organization works.
Nodyn holds one working model of how your company runs: the roles, the rules, the processes, and who is allowed to decide what. Your agents run on that model instead of piecing it together from documents, so they execute whole processes across teams, inside your rules, with a person on the decisions that need one. Change a rule once and every agent works to it, with a record of what happened and why.
This is where your organization is described: departments, roles, processes, rules and systems. A compiler checks it for gaps and contradictions before anything goes live. Your own people make the changes, and agents help them do it.
This is where the organization is connected and controlled: environments, data sources, system connections, and who is allowed to do what. Changes move from draft to production as governed deployments.
Your team follows what the agents are doing, approves what needs approving, and steps in where judgement is required. A real working environment with queues, forms and dashboards.
Agents run here, on that definition. They pick up work when the conditions are met, hand it to each other, call your systems and escalate the moment a person has to decide. Every step is logged and enforced.
Headless API and MCP. Embed and run agents in the software you already use.
The structured language that holds how your company works: stakeholders, departments, processes, roles, systems, data and the agents themselves. Readable by your people, executable by machines. This is what agents run on instead of searching for context of their own.
We're building our platform in the real world, with real clients. We're helping insurers build agents that carry complex workflows end to end: specialized underwriting, claims handling and more; proving our platform in production.
It comes down to four things most AI stops short of:
Your roles, rules, processes, systems and who is allowed to decide what, held in one working model of how your company operates. Every agent runs on that model instead of searching for context of its own, and you manage all of them from one place. Change a rule once and it reaches every agent that uses it.
Blueprints are a ready-to-go library of agents built for insurance, from submission intake to claims handling, that you finetune to how your organization actually works. You start from a filled-in blueprint, so your first agents are running in days.
Engineers build and run the platform, the integrations and the security. The people who know the rules build and maintain the business rules themselves, in a language they can read. Nobody waits in a queue for a change that was clear from the start.
Your rules and your context are your competitive advantage, so they run in your own environment instead of inside someone else's AI provider. Enterprise controls come with it, from permissions and privacy to protection against prompt injection.
All of it adds up to one thing:
more work done, shorter lead times, the same team.
The founding team
We spent years running IT and transformation inside large enterprises. Solving the gap between business and IT is what makes or breaks innovation, then and now. Nodyn is what we built to fix that.
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