Workflow audit
Map one repeated workflow, where it starts, what data it uses, who reviews it, and where work currently gets stuck.
Start with one workflow, one flagship agent, and one review model your team can understand. ZenFoundry helps traditional enterprises prove AI-assisted work before expanding into a broader AI workforce.
Inquiry & Quote Agent
Inquiry-to-quote for manufacturers, distributors, and service teams with scattered requests.
Order & Production Agent
Order-to-production visibility for teams coordinating sales, operations, and delivery.
Owner Brief Agent
Owner operating brief for founder-led and operator-led businesses that need one daily view.
Map one repeated workflow, where it starts, what data it uses, who reviews it, and where work currently gets stuck.
Collect real but safe examples: inquiries, quote templates, order updates, production notes, customer replies, or owner reports.
Configure Iris, Atlas, or Nora around your examples, templates, fields, expected outputs, and review language.
Define what the agent can prepare, who approves it, what requires edits, and what should never be automatic.
Review AI-prepared work inside Workbench with approval queue, audit log, owner brief, and sample workflow activity.
Document output quality, team review feedback, workflow clarity, blocked items, and whether the agent should continue.
Decide whether to expand to another workflow, add a secondary agent, revise scope, or stop before rollout gets expensive.
At the end of 30 days, you should know whether the first AI operator can prepare useful work, whether your team can review it, and whether the workflow is ready for managed implementation.