Prova AI

The model is a component. Prova's proprietary systems organize the work.

General-purpose AI can retrieve, compare, extract, and draft. Prova's proprietary systems determine what question the work must answer, which materials are agreed and appropriate for the question, how sources and claims remain connected, where challenge and review enter, and what must remain a human judgment.

Prova's proprietary systems are what make frontier AI useful for this work: they organize the question, sources, review, and human responsibility around every conclusion.

Why this matters

Evidence work has always depended on reading. The amount that can be read has changed.

The useful record often lives across reports, proposals, research, notes, presentations, feedback, correspondence, program data, and the operating knowledge of people close to the work.

From volume to a usable record

The record as it exists

ReportsProgram dataResearchFeedbackNotesOperating knowledge

Prova's proprietary evidence systems

Bound the question. Connect claims and sources. Surface gaps. Direct review.
AI-assisted reading and tracingProfessional challenge and judgment

An inspectable decision record

  1. 01What the record supports
  2. 02Where support ends
  3. 03What should happen next
More material becomes useful when its boundaries, source connections, gaps, and decision purpose remain visible.

How Prova AI works

Understand how Prova divides AI-assisted work from human judgment.

Prova's proprietary systems organize the work from the first question through source tracing, professional review, and the final conclusion. AI operates inside that system.

Three interacting roles

The organizing layer

Prova's proprietary evidence systems

Organize the question, permitted record—the materials agreed for the work—standards, source connections, challenge, review, and decision path.

Frontier AI within the systems

Performs bounded reading, retrieval, extraction, comparison, tracing, synthesis, drafting, and monitoring.

Accountable people

Frame consequential questions, interpret context, challenge the record, judge what it supports, approve conclusions, and decide what happens next.

The model is a component. Prova's proprietary systems organize the work. Named professionals remain responsible for consequential conclusions.

What remains visible for review

A conclusion should remain connected to its source, its gaps, and its review.

See how a conclusion stays connected to its sources, gaps, and professional review.

Illustrative inspectable record

Selected layer · Claim

The conclusion being considered

A material statement is isolated so its meaning, population, period, and intended use can be checked.

A defined program claimSource location and contextVisible exception or unresolved questionNamed professional judgment

What AI changes—and what it does not

More readable material is not automatically more evidence.

Prova's systems help define what belongs in the record, preserve the connection from statement to source, expose the exceptions that matter, and route consequential interpretation to accountable people.

What becomes practical

Move repetitive reading toward AI assistance. Concentrate scarce attention on judgment.

Read and retrieve

Search within the materials agreed for the work and find relevant passages across more material.

That means Prova can begin with more of what your organization already knows.

Compare and trace

Compare claims, definitions, measures, populations, periods, and source locations.

See where a conclusion holds, changes, or loses support.

Challenge and interpret

Apply context, examine alternatives, and keep uncertainty visible.

Receive a conclusion whose sources and limits can be checked.

Judge and decide

Apply the final standard and state what the information supports.

A named professional owns the conclusion, and your organization owns the decision.

Cost, speed & reach

Reduce avoidable labor without lowering the evidentiary standard.

Prova's proprietary systems let AI assist with reading, tracing, comparing, and organizing large amounts of material, while experienced professionals focus on framing, interpretation, challenge, and judgment.

More of the existing information can become workable.First-pass searching and comparison can require less manual effort.Senior attention can concentrate on important exceptions and decisions.

Data through the engagement

Client materials enter only an agreed workflow.

Before Prova receives files, the client and Prova agree on the question, which materials may be used, what must be excluded, who may access the work, how AI may assist, what may be shared, and when materials will be deleted.

How client materials move

  1. Materials inAgreed files are shared

    01

    Deliberate access

    Prova works only from materials the client agrees to share. The workflow does not independently enter operational systems.

  2. While work runsWhat may happen to them

    02

    No AI model training

    Prova does not use client materials to train any AI model. Prova also uses only AI vendors that commit to zero data retention (ZDR) and no model training.

    03

    Source-connected analysis

    Material statements can be taken back to the source behind them so review and correction remain possible.

  3. Before anything leavesThe review gate

    04

    Human review

    A named Prova professional considers context, uncertainty, and contrary material and remains responsible for client-facing work.

  4. Findings outWho may see them

    05

    Client control

    Files or findings are shared outside the engagement only under the agreed authorization or another stated legal basis.

  5. When work endsWhat is kept or deleted

    06

    Defined retention

    The written agreement states what is retained, what is deleted, when access ends, and which limited exceptions apply.

Material moves hereWork remains inside the agreed process

No AI model training. Prova does not use client materials to train any AI model. Prova also uses only AI vendors that commit to zero data retention (ZDR) and no model training.

Deliberate access. Prova works only from materials the client agrees to share.

Named review. A Prova professional remains responsible for client-facing work.

Defined retention. The written agreement states what is kept, deleted, and when access ends.

A practical first step

Bring the decision you need help with.

The first conversation will clarify the question, the information available, the deadline, and whether Prova's proprietary systems can make the work faster, more thorough, or easier to review. Before work begins, Prova confirms the AI providers, access controls, retention, deletion, and security terms that apply to the engagement. No client files are submitted through the public site.

Discuss a decision