How we work

No demos. A method.

Every engagement follows the same governed path from discovery to operation. Here is the entire thing.

The method

Nine steps. The same nine, every time.

  1. 01

    Discovery

    A listening call, not a pitch: where the time actually goes, what breaks under deadline, and what you'd never let software do alone. If we don't see a fit, we say so and stop here.

  2. 02

    Workflow Map

    We observe the real workflow and time the manual baseline — how inputs arrive, who touches them, and where the minutes live. The map is built from watching the work, not from a questionnaire.

  3. 03

    Data Inventory

    Every document and system the workflow touches gets catalogued, with a representative sample de-identified for the work ahead. Retention and deletion terms go in writing before any real file moves.

  4. 04

    Risk Classification

    Each kind of data is classified, and that class decides where it may be processed — what stays inside your boundary and what never leaves. The hard lines are drawn here, before anything is built.

  5. 05

    Pilot SOW

    One bounded slice of the workflow, in writing: what the system will do, what it will never do, and success metrics measured against your own baseline — not our claims. Nothing expands past this scope without a new agreement.

  6. 06

    Sandbox

    The system is built and exercised on the de-identified sample — never your live operation. It has to work here before it earns anything more.

  7. 07

    Shadow Mode

    The system runs alongside your team on real work with zero external effect: it drafts and flags in parallel, and we compare its output to what your people actually did. Misses cost nothing and teach us everything.

  8. 08

    Human-Reviewed Pilot

    Live work, with a person approving every output — the system drafts, your team decides, and nothing external ever sends itself. Every assist is logged, so the pilot ends with evidence instead of anecdotes.

  9. 09

    ROI Review

    Measured results against the baseline from the workflow map, plus the full assist log, reviewed together. We expand deliberately or we stop — go/no-go is a shared decision, not a renewal default.

Who runs this

Eric Yun

FOUNDER & CTO

A full-stack machine-learning engineer, Eric built and operates Pleadly — litigation support that runs under attorney-client privilege constraints — and designs Miko's inference, routing, and approval-gate architecture personally. Every engagement in this method is run by the person who built the system, not handed to a delivery team.

Private briefings under NDA.

We'll walk through the architecture, our current certification status, and a sample deliverable — candidly.

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