AI Agent Pilot
A 30-day pilot for one flagship AI operator, one workflow, sample data, approval rules, and Workbench review.
We help traditional enterprises map workflows, configure AI agents, design approval rules, train teams, and expand after a pilot. Workbench is the control center, but implementation is what makes the first agent useful.
A 30-day pilot for one flagship AI operator, one workflow, sample data, approval rules, and Workbench review.
Workflow mapping, context setup, agent configuration, approval design, team training, and rollout support.
A control layer for AI-prepared work: operations inbox, draft workspace, approval queue, audit log, and owner brief.
We map one repeated workflow, identify handoffs, review points, source tools, sample data, and failure modes.
We configure the first AI operator around your templates, examples, product or operations context, and expected outputs.
We define what the agent can prepare, who reviews it, and what should never happen automatically.
Your team reviews AI-prepared summaries, drafts, updates, audit logs, and owner briefs inside Workbench.
We train operators and owners to review drafts, correct context, request edits, and judge pilot quality.
After the pilot, we recommend whether to continue, revise, expand to another agent, or stop.
The hard part is not showing a chat interface. The hard part is turning real work into reviewable outputs, setting approval boundaries, teaching operators how to review, and deciding when to expand.
ZenFoundry agents prepare operational work. Your team approves sensitive actions. Workbench tracks the review path.