Enterprise judgment infrastructure

Your judgment
should scale with you.

PROXXY learns how your people exercise judgment wherever work happens, proves where it understands that judgment in Shadow Mode, and only then earns the right to act.

Observe. Predict. Validate. Delegate.

The distinction

AI shouldn’t get authority
before it earns trust.

Most AI tools can recommend an answer.

PROXXY does something different. It observes how decisions are actually made across the tools your team already uses. It captures the context surrounding those decisions, learns how individual decision owners think, and begins predicting what they would do next.

At first, PROXXY does nothing.

It operates in Shadow Mode. Its prediction is recorded before the human makes the real decision. Then PROXXY compares the two.

Over time, you can see exactly where PROXXY understands a person’s judgment, and where it does not.

Stage 01 · Observe●
Stage 02 · ValidateShadow Mode
Stage 03 · DelegateEarned, bounded authority

Predictions are recorded privately. A human always makes the real decision.

Only then can you choose to delegate.

How PROXXY works

Four moves, in sequence.

01

Observe

PROXXY connects to the systems where work already happens.

SlackTeamsCRMJiraMeetingsEmailInternal systems

It identifies meaningful decisions and captures the information available when those decisions were made.

Not everything your company says. The decisions that matter.

02

Learn

Every decision becomes part of a living judgment model. PROXXY learns:

  • who owns the decision
  • what type of decision it is
  • what information mattered
  • what was ultimately decided
  • what happened afterward

Over time, PROXXY begins to understand not only what someone decided, but how that person tends to decide.

03

Validate in Shadow Mode

Before PROXXY is allowed to act, it has to prove itself.

For every eligible decision, PROXXY privately predicts what the decision owner will choose. Then the human decides as usual.

Validation eventILLUSTRATIVE EXAMPLE
PROXXY predictionApprove
Actual decisionApprove

Another validation event is recorded. Over dozens or hundreds of decisions, PROXXY builds measurable fidelity by decision type.

Vendor approvals under $25K97%
Pricing exceptions94%
Hiring decisions63%
Strategic partnerships48%

Trust is not assumed. It is measured.

04

Delegate

Once PROXXY has proven reliable within a specific decision class, you decide what authority it earns. For example:

Delegation policy · Illustrative example
95%+ confidenceAct automatically
80–95% confidenceRecommend for approval
Below 80% confidenceEscalate to the decision owner

Delegation is bounded by the rules you set.

PROXXY does not become “autonomous.” It earns specific authority for specific decisions.

The person, not the answer

PROXXY learns the person, not just the answer.

A traditional knowledge system might remember

“Michael approved the contract.”

PROXXY needs to understand much more

  • Usually approves contracts of this type.
  • More cautious above a certain dollar amount.
  • Almost always asks legal to review unusual indemnification language.
  • Treats long-standing customers differently from new ones.
  • Escalates when a particular risk appears.
  • Comfortable making certain exceptions, but not others.

That is the difference between storing decisions and learning judgment.

Calls and meetings

The most important calls are spoken. PROXXY can learn there too.

Some decisions never happen in an email or a system. They happen on Zoom, Teams, Google Meet, phone calls, and recorded meetings, in moments like:

“Let's approve it.”
“Don't send that yet.”
“Normally I'd say no, but this customer is different.”

Those moments contain enormous amounts of judgment, including why an exception was made, what condition changed the answer, and what caused an escalation. With proper permissions and consent, PROXXY forms its own prediction during the call, then compares it with what the decision owner actually did.

Meeting · Validation eventIllustrative example
PROXXY predictionApprove, require legal review
Actual decisionApprove, require legal review
ResultMatch

Another validation event is recorded, and the spoken reasoning becomes part of the judgment model.

Recording and transcription are built around clear consent and permissions. PROXXY should feel like employee-controlled intelligence, not surveillance.

Architecture

The integrations are the sensors. The judgment model is the product.

A Slack integration is not PROXXY.

A CRM integration is not PROXXY.

Meeting transcription is not PROXXY.

Those systems provide the signals PROXXY needs to understand how decisions happen.

The durable asset is the validated representation of your organization’s judgment.

Organizational intelligence

Every decision makes PROXXY smarter.

Traditional organizational knowledge tells you

What happened?

PROXXY goes further

  • Why did it happen?
  • Who made the call?
  • What information did they have?
  • What would they likely decide next time?
  • How confident are we in that prediction?
  • Has PROXXY earned the authority to act?

That is the difference between organizational memory and organizational intelligence.

Learning from outcomes

Did it predict the person? Did the decision work?

Beyond mimicking a person, PROXXY observes what happened after each decision. That creates a second kind of intelligence, because a decision can accurately reflect someone’s judgment and still produce a poor result.

Question oneDid PROXXY correctly predict the person?
Question twoDid that decision ultimately work?

PROXXY preserves both. Over time, that opens the possibility of helping people improve judgment, not merely reproduce it.

One intelligence layer

One core intelligence layer. Many workflows.

PROXXY is built once and applied to decision classes across the business:

Pricing exceptions
Vendor approvals
Customer escalations
Sales approvals
Operational decisions
Hiring decisions
Project prioritization
Compliance reviews
Capital allocation

Each new workflow adds context and rules to the same underlying system:

Decision ledger·
Judgment model·
Prediction engine·
Shadow Mode·
Fidelity scoring·
Delegation policies·
Durable judgment

People leave. Judgment shouldn’t.

When an experienced employee leaves, companies lose far more than documents. They lose thousands of small patterns of judgment:

  • What gets escalated.
  • What gets approved.
  • What feels risky.
  • Which exception is acceptable.
  • Which customer deserves flexibility.
  • Which signal matters and which one doesn't.

PROXXY turns that judgment into a durable organizational asset. Not by asking someone to document how they think. By learning from how they actually decide.

Leverage, not replacement

PROXXY does not replace decision-makers. It gives their judgment leverage.

01At first, PROXXY watches.
02Then it predicts.
03Then it proves what it understands.
04And only where you trust it, it acts.

Observe. Predict. Validate. Delegate.

Join the private beta
Attention Returned™

Give the best people
their attention back.

This month
Questions resolved
0
One-touch approvals
0
Escalations
0
Illustrative example
Attention Returned™
0.0
Hours
Capacity created

The operational benefit to the company: faster decisions, reduced bottlenecks, fewer repeated requests, and improved continuity.

Freedom returned

The employee benefit: fewer interruptions, reduced after-hours demands, more uninterrupted focus time, and lower net administrative burden.

Both outcomes are measured separately during pilots. Neither is guaranteed; both are what pilots are designed to test.

What could the best people do with 14 hours back?

The north-star metric is not tasks automated. It is the amount of valuable attention given back to the people the organization can least afford to interrupt.

Begin

Observe. Predict. Validate. Delegate.

At first, PROXXY watches. Then it predicts. Then it proves what it understands.

Join the private beta and test PROXXY with one team and one defined workflow. Only where you trust it, it acts.

PROXXY is an early-stage concept in development. All performance metrics on this site are illustrative until pilots establish real ones.

Join the private beta