The company behind the business evidence layer.
Pruvz builds the business evidence layer for AI agents: independent verification of high-impact agent actions against the systems of record a business already trusts, such as billing and CRM. Every verified action becomes a business record of what the agent saw, which policy applied at decision time, what it did, and what the systems of record confirm.
Why Pruvz exists
AI agents are being handed real work: refunds, claims, account changes, approvals. When an agent reports success, most stacks take its word for it. Yet a tool call that reports success shows that the tool completed according to its contract; it does not necessarily prove that the intended business outcome was recorded in the system of record, or that downstream processing completed. When an action is disputed weeks later, teams are left reconstructing what happened from technical traces that were never written for that question.
Pruvz was founded to close that gap. It captures the decision-time context and the exact policy in force, records the action the agent executed, then independently reads the systems of record to confirm what actually happened, and keeps the evidence in an ordered, append-only record that operations, compliance, risk, legal, and leadership can read.
Where the product stands today
Pruvz is a working product. The full verification flow runs end to end: an agent acts, Pruvz captures the decision-time context and policy snapshot, independently reads the billing and CRM systems of record, classifies the outcome, and routes mismatches to human review. The same flow runs against live Stripe and HubSpot test environments, and you can see every verification path, including the failure paths, at pruvz.ai/demo.
Customer pilots are open, and so is the founding design-partner program: the first real partner workflows will be selected and developed with the founding design partners, on the same verification engine and evidence model.
Who is behind Pruvz
Pruvz was founded by Dor Sharoni, a senior backend engineer with experience building production AI, real-time processing, and enterprise systems at scale. Read the founder profile or connect on LinkedIn.
Who Pruvz is for
Product, business, operations, compliance, risk, and legal teams read the same record, and engineering connects it. Each group opens the evidence for a different reason.
Engineering
Engineering teams connect the workflow and systems of record.
Operations
Operations teams review exceptions.
Product and business
Product and business leaders follow outcomes.
Compliance, risk, and legal
Compliance, risk, and legal teams open the same record when an action is disputed or audited: the policy in force, the decision, and what the system of record confirmed.
Where Pruvz creates value
- Agents updating business systems or executing business workflows.
- Agents making business decisions with outcomes that can be verified in a system of record.
The founding design-partner program.
We're looking for enterprise teams deploying AI agents in high-impact workflows. Here is the shape of the engagement.
What you get
- The Pruvz verification flow applied to one of your high-impact agent workflows
- Evidence packets, mismatch detection, and human review for that workflow
- Direct influence on the evidence model, connectors, and roadmap
- Priority access as Pruvz moves toward general availability
What we need from you
- One high-impact agent workflow, such as refunds, claims, or support actions
- Access to the relevant systems of record in a staging or test environment
- A short feedback loop with the team that owns the workflow
How the engagement runs
- A structured proof of concept, scoped in weeks rather than quarters
- Success criteria agreed up front: which actions get verified, against which systems
- Weekly working sessions with Pruvz
- Next step: a 30-minute intro call to map your workflow to the evidence model
Talk to us
The fastest way to reach Pruvz is a 30-minute design-partner call: bring one agent workflow and we'll map it to the evidence model together. You can also write to hello@pruvz.ai or follow Pruvz on LinkedIn.