Context, not prompts
The agent is designed around your operation, so staff are not re-explaining the business every morning.
Service 01
not beside it.
Bud and the agents around it are designed as operational colleagues: they read the same data your team uses, follow the same processes, and act in the same systems.
Most AI products stop at a chat window. That is useful for drafting email. It is not how a warehouse, a finance team or a wholesale operation actually runs.
OnDraft designs AI agents around the business system. First we understand the operation — the decisions, the exceptions, the systems of record. Then we connect the data. Then we introduce an agent that can ask, decide and do.
Bud is the first of those agents: an AI employee that holds business context, monitors operational state, and executes work across tools rather than merely describing it.
The agent is designed around your operation, so staff are not re-explaining the business every morning.
Bud can update systems, notify people and start processes — the distinction that makes an AI employee useful.
Actions are recorded against the same operational trail as any other process run.
No. Bud is designed as an AI employee inside the operating system of the business. It can answer questions, but the point is that it can also take action across connected tools.
No. The design goal is to remove the work people currently do to bridge software — rekeying, chasing, copying — so the team spends time on judgement, customers and exceptions that actually need them.
We map which decisions an agent may take, which require confirmation, and which remain human. Process runs are recorded. Autonomy is scoped to the operation, not implied as a blank cheque.
AI agents, integrations and operational software—built around your business.