Operating model

Control before
volume.

Reliable cognitive operations begin with the standard—not the headcount. ADCO builds the instructions, training, review, and reporting layer before production expands.

Design a pilot
A professional reviewer studying AI evaluation outputs
Human attention, deliberately placedADCO · Cognitive Outsourcing
01
Define the work

Scope

We map the workflow, input quality, output format, tools, decision points, security boundaries, and acceptance criteria.

Workflow map Acceptance criteria Pilot definition
02
Align the judgment

Calibrate

A controlled sample tests the rubric, examples, reviewer understanding, disagreement handling, and quality process.

Training set Calibration results Revised instructions
03
Run managed production

Operate

Trained reviewers execute through approved tools while management tracks throughput, exceptions, and review status.

Managed delivery Exception log Progress reporting
04
Turn feedback into control

Improve

Corrections, disagreements, and new edge cases are converted into clearer instructions, retraining, and stronger review logic.

Feedback loop Updated rubric Quality summary

The first engagement

A pilot built to answer real operating questions.

Can the work be defined? Can reviewers reach consistent decisions? Can quality be checked? Can exceptions be handled? Can the client see what is happening?

  • Bounded sample and timeline
  • Explicit evaluation criteria
  • Calibration before production
  • Review notes and final summary
PILOT BLUEPRINT / 01CONTROL BEFORE VOLUME
Input sample
Calibration
Review logic
Ready workflow

Quality system

Review is part of
the workflow.

ADCO does not treat quality as a final inspection alone. Instructions, calibration, supervision, exception handling, and feedback all shape the result.

QUALITY PIPELINECONTROLLED DELIVERY
WorkflowEvaluation / 01
Review stateCalibrated
01Client standard Defined
02Team calibration Aligned
03Managed production Active
04Quality review Checked
05Delivery report Visible
EXCEPTION LOGNew edge cases route back into training and review.
01

Accuracy before volume

Throughput matters only when the work meets the defined standard.

02

Human accountability

People remain responsible for review, verification, and escalation.

03

Feedback becomes training

Corrections and edge cases improve the next round of work.

Start with one workflow

Start small.
Learn clearly. Expand carefully.

A controlled pilot creates the evidence needed to decide what the production model should become.

Discuss your workflow