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zenfai
zenfai

One department. One measurable workflow.

Managed implementation

zenfai is not just software.

We review one repeated workflow, configure approved company knowledge and selected AI Skills, define approval rules, train reviewers, and measure the result before expanding.

Commercial model
01

30-Day Workflow Pilot

One department, one workflow, controlled materials, approval rules, review, and measurable evidence.

02

Managed Implementation

Workflow mapping, approved knowledge setup, Skill configuration, approval design, reviewer training, and rollout support.

03

Human Review Layer

A controlled review path for prepared work, source references, exceptions, edits, approvals, returns, and audit history.

How implementation works

01

Workflow audit

We map one repeated workflow, identify handoffs, review points, source tools, sample data, and failure modes.

02

Knowledge and Skill setup

We configure approved templates, examples, business rules, and selected AI Skills around the expected output.

03

Approval design

We define what AI may prepare, who reviews it, and what must never happen automatically.

04

Pilot review layer

Your team reviews prepared work, source references, exceptions, edits, approvals, returns, and audit history.

05

Team training

We train operators and owners to review drafts, correct context, request edits, and judge pilot quality.

06

Expansion path

After the Pilot, the evidence supports a decision to continue, adjust, expand to another workflow, or stop.

Why managed first

Traditional enterprises need AI adoption, not another empty tool.

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.

Implementation principles

  • Start with one repeated workflow, not a company-wide automation program.
  • Use real operational examples, templates, and approval rules.
  • Keep customer-facing work behind human review.
  • Train the team to judge, edit, approve, and improve AI-prepared work.
  • Expand only after the first workflow is understandable and useful.
Human-approved rollout

Start with a pilot. Expand only when the operating model is clear.

AI prepares reviewable work. Your team approves sensitive decisions. The review layer records the evidence and outcome.