Practitioner explaining a case using paper records and a workflow at her desk.

FieldSignal data partnerships

Put your knowledge
to work for AI.

Use real cases to teach and test AI.

Bring your team’s records, decisions and expert reviews. We’ll assess a use for AI training or testing. Agree access, permitted uses and commercial terms before sharing.

Start by describing the work and the records you hold.

Explain what changed
the decision.

Check the action behind the answer

Check what happened
in the system.

A message says the appointment changed. The scheduling record still shows the original time.

Keep both records. Ask the person what they checked and why. Define the action the agent must take.

Appointment changeFictional example

Customer request

“Has my booking actually been changed?”

Check the record
The original appointment time is still in the scheduling system.
Apply the rule
Verify the saved booking before confirming a change.
Check the result
Confirm the new time only when the system shows it. Otherwise, explain that the change is still pending.

Records to discuss

Show the steps,
decisions and results.

Show where the knowledge lives, what it explains and how it may be used.

Describe how the work should run.

Use procedures, internal guides, support playbooks and workflow documentation to explain the expected steps.

Show what happened in real cases.

Connect the request, checks, handoffs and result. Include exceptions and cases where someone had to correct the work.

Explain the expert’s assessment.

Use reviews and corrections to show where an answer failed and why. Specify the checks an AI response must pass.

Agree before transferring data

Define the scope.
Set the terms.

Agree which records can be shared and how they may be used. Resolve access, preparation and commercial terms before any transfer.

Discuss your requirements
Check rights and exclusions.
Identify the records you have the right to share. List what must stay excluded.
Prepare and review samples.
Agree what to redact or de-identify and who reviews representative samples.
Limit access and use.
Name the recipients, permitted uses, retention period and deletion requirements.
Agree the commercial terms.
Confirm ownership, licensing, delivery and compensation before committing.

Start a partnership

Describe the records.
Check the fit.

Bring documented workflows, expert knowledge or reviewed cases. We’ll check the context, quality and rights before proposing a use.

  1. 01

    Describe the work.

    Describe your business, team knowledge and available records. Keep raw customer records and confidential material out of the first inquiry.

  2. 02

    Assess a specific use.

    Review relevance, quality, context and sharing rights. Decide whether a sample review would help.

  3. 03

    Agree before sharing.

    Set the scope, handling requirements and commercial terms. Proceed only when both sides agree.

Practical details

Check the terms
for your records.

Price each partnership separately.

Potential value depends on relevance, quality, uniqueness, usable context and the rights available. Agree compensation for the specific partnership. No standard payout is promised.

Bring cases from your field.

Customer operations, software, engineering, finance, scheduling and service delivery all involve decisions worth investigating. Identify a specific task and the records that explain it.

Looking for individual evaluation work?

Data partnerships concern an organization’s records and operational knowledge. Individual experts can browse evaluation opportunities.

Find expert opportunities

Discuss a data partnership

Tell us what
your team knows.

Describe the work, records and restrictions. We’ll assess a possible use and agree the next step.