CAWS
Work with CAWS

Bring workers' own evidence into your AI decisions.

CAWS works with employers, public agencies, nonprofits, unions, and worker organizations on how AI and algorithmic systems are affecting the people doing the work, and every engagement ends in something the organization can act on.

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Ways to bring CAWS in

From a single briefing or governance tool to a full assessment.

Each engagement is scoped to the organization and the systems in use. Partners own what CAWS builds for them, and CAWS keeps and openly publishes its methods and anonymized aggregate learning. Pricing is provided on request.

Getting started

Executive Briefing

A 90-minute conversation that helps leadership decide how to approach AI at work, covering what's coming, which questions to ask, and where to start, followed by a short decision memo.

Getting started

Sector AI Hazard Baseline

A written research brief on one sector, covering which AI and algorithmic systems are arriving, where they touch decisions about work, and which hazards matter most, with the evidence behind each.

Hearing from your workforce

Worker Pulse

A structured survey of the affected workers through your own channel. Findings go back to worker representatives before they're final, and the Pulse ends in a decision session with leadership. Follow-up interviews and a focus group can be added where the survey points.

Hearing from your workforce

Full Cycle Assessment

The complete cycle, from mapping the systems in use through a decision session with leadership. Findings are validated with workers before they are final.

Governance tools

AI Job Hazard Analysis

CAWS runs the analysis on one priority system or job, on site with the people who operate it and whose work it affects, and writes it up with ranked hazards, controls, a named owner for each, and a 90-day plan.

Governance tools

Boundaries, accountability, and language

A written list of the uses your organization won't make of AI. Named ownership of AI decisions and of each tool's output, with a review procedure and a near-miss log. Notice, explanation, appeal, and participation language for one AI system.

Governance tools

Known-answer test bank

Safety questions with verified, sourced answers, built with your subject matter experts, so your accountable owners can check an AI tool's answers on your own content over time. Your team runs it and owns the results.

Training

Training & train-the-trainer

Three courses built on one method, from a 90-minute awareness session to two days for the people accountable for an AI program. Delivered directly, or built into the organization through train-the-trainer. See the courses.

CAWS is not affiliated with any vendor and does not promote, sell, or certify any AI product or tool. CAWS sells its own services, and nothing else.

How an engagement works

One cycle, with workers' evidence at the center.

Every engagement follows the same cycle. CAWS maps the systems in use, listens to the workers using them, checks the findings with those workers before anything is final, and ends in a decision session with leadership. Individual responses are confidential and reported only in aggregate.

See the full cycle and the principles behind it.

Who this is for

If AI directs, monitors, or evaluates the work, this is for you.

CAWS works on any workplace where AI or algorithmic systems direct, monitor, measure, or evaluate the work, and with anyone whose work those systems shape, whatever their sector, title, or employment arrangement. That includes office, professional, and technical staff as much as frontline and field roles.

Sectors where this work applies include
Public sector Healthcare Disaster & emergency response Hazardous materials Warehousing & logistics

Don't see your work here? Tell us where AI is showing up in your work.

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Tell us what you are seeing.

If AI is already running in your workplace and you want an independent account of what it is doing to the work, get in touch.

Or use the inquiry form on the home page.

CAWS wants to hear from workers directly. If you are a worker and not here on behalf of an organization, write anyway.