Agents Autonomous
PE portfolio companies / A practical workflow

Evaluate an assistant change before copying it elsewhere

One company wants to update its internal assistant. A reusable evaluation method is helpful, but the other companies ask different questions.

From input to handoff

The source stays
with the work.

One possible workflow, with the preparation and review responsibilities made clear.

  1. 01 / The starting point

    A sanitized, company-specific question set, approved source versions, known failures, and baseline and candidate model configurations.

  2. 02 / The right context

    Compare the same tasks with source support, refusal behavior, review effort, latency, and cost recorded as relevant. Keep failure categories and sampling limits visible.

  3. 03 / Prepared for review

    A change-review record and failure queue, plus a checklist of what another company would have to validate independently.

  4. 04 / A person decides

    The local AI workflow owner judges regressions; the authorized technology owner separately decides whether to approve a rollout.

Tangible work

What the next person receives.

01

A prepared working record

A change-review record and failure queue, plus a checklist of what another company would have to validate independently.

02

A clear review route

The local AI workflow owner judges regressions; the authorized technology owner separately decides whether to approve a rollout.

03

An agreed scope

A strong result in one company is not portfolio-wide evidence. The evaluation neither changes production nor guarantees live accuracy or savings.

Agree what good looks like

A useful result
can be checked.

The acceptance decision

A candidate’s use of an obsolete policy in an exception remains visible as a separate failure for the local owner to assess.

Include the difficult case

Try a candidate that answers routine questions well but quotes an obsolete policy in a sensitive exception. Keep that failure separate from the average and ask the local owner whether it blocks the change.

Keep the scope clear

A strong result in one company is not portfolio-wide evidence. The evaluation neither changes production nor guarantees live accuracy or savings.

How we validate the work ↗
A first conversation

Bring the job.
We’ll shape the brief.

Start with a general outline of this workflow and the team that owns it.

Plan this workflow

Three useful questions

  • Which company-specific questions and known failures should baseline and candidate both face?

  • Which source versions and acceptance criteria will the local workflow owner use?

  • Who assesses regressions, and who separately decides whether to approve a rollout?