Verdify

Contact

Talk through a workflow that should become owned AI capability.

For implementation planning, learning-loop audits, or a review of an AI workflow, contact Verdify directly. We are based in Longmont and work with Colorado Front Range teams and Microsoft-aligned organizations that want AI to compound organizational expertise instead of renting generic intelligence.

Send workflow context

This form emails your inquiry to [email protected]. Keep confidential data out of the first note.

What to send

A useful inquiry is specific about the workflow and honest about what the organization must own.

Workflow owner and systems of record
Human expertise and proprietary knowledge
Allowed and prohibited AI actions
Private eval or outcome signal that would prove improvement

Not ready to send context? Browse the assessment, worksheets, and worked examples first.

Contact Verdify when a workflow should become a learning loop.

Good fit when

You can name a real workflow and owner.
A wrong AI action would create customer, quality, brand, compliance, financial, or physical risk.
The team wants evidence, private evals, feedback loops, and explicit approval points.
You are open to an audit before implementation.

Not a fit when

You want broad AI ideas without a workflow.
You want AI to bypass approval, feedback capture, or systems of record.
You need a provider-backed booking link before sharing context.
You are looking for a greenhouse control product.

FAQ

Common buyer questions.

What should I include in the first note?

Name the workflow, the human expertise involved, the systems AI would need to read, the actions that should remain prohibited, the current approval path, and what would prove the workflow improved.

Is [email protected] the public contact address?

Yes. Verdify's public contact address is [email protected]. Public site forms send inquiry details to that address through the site server.

What happens before a paid engagement?

Verdify first qualifies the workflow, expertise, risk, approval points, feedback signals, and evidence needs. If there is a fit, the recommended first commercial step is usually the AI Learning Loop Audit.