Measured evidence instead of momentum
Keep ThinkingAI · Markets · Society
Propose & verify

Human-in-the-loop workflows

AI proposes. Humans verify and decide.

The engagement, in one paragraph

Workflow design where models do the drafting, retrieval, and first pass, and accountable humans make the calls. We build the queues, review interfaces, escalation rules, and audit trails that make "a human checked this" true instead of aspirational.

Standard for every engagement

Written scope before any spend Measurements, not vendor claims You own the deliverables

What you receive

The deliverables.

01

Workflow map showing where judgment enters and exits

02

Review queues and verification interfaces

03

Escalation rules for low-confidence or high-stakes cases

04

Audit trail recording who approved what, and why

05

Sampling and quality-assurance procedures

Fit check

Signs you need this.

A fully automated decision just embarrassed you in front of a customer

Regulators or clients require accountable human sign-off

Staff rubber-stamp AI output because review is too slow to do properly

Errors are caught by customers instead of by your process

None of these fit?

Briefs arrive in every shape. Describe the problem in plain language, the scoping step exists to find the right service, including when the right answer is none of them.

Propose & verify

Start with a brief, not a purchase order.

Start a brief