Applied AI for operations where mistakes are expensive

Proof before production.

Effortproof brings serious AI into operationally complex companies. We measure how your operation actually runs, prove every automation against your own history, and ship nothing that hasn't already survived a rehearsal.

PROOF LOG 001 · read-only access · fixed fee · three weeks
The conversion problem

Every demo works.
Your operation is not a demo.

Enterprise AI fails in the gap between the pilot and the floor. The model that looked brilliant on clean samples meets legacy systems, workflows full of exceptions, and the process step that exists only in one veteran's head. Then it stalls, quietly.

70–90%

of enterprise AI pilots never make it to production. Industry surveys, not our number.

We are not the fastest way to add AI. We are the way to know it works before your customers do.

01
The proof loop

Three stages, in an order
that doesn't bend.

01

Observe

Measurement before opinion.

Read-only discovery agents map how work actually happens: procedures as they're performed, not as they're documented. Exception rates, informal workarounds, where the hours and the money leak.

DELIVERABLE
The Ops Ledger. Every workflow ranked by payback, risk, and time to live.

02

Rehearse

Your history is the exam.

We rebuild the target workflow inside a sealed replica of your environment: your data shapes, your systems' quirks, your worst months. Then we replay history and add adversarial cases that replay alone would never surface. You see accuracy, failure modes, and unit economics before anything touches a live system. If the numbers miss your bar, you stop.

DELIVERABLE
The Proof Report. A go or no-go decision that you control.

03

Operate

Autonomy is earned, gate by gate.

Shadow mode first. Then human-approved actions. Then supervised autonomy with tripwires. Each gate has entry criteria, rollback criteria, and a named human owner. Every decision is logged and attributable, and the engagement ends with a trained internal owner.

DELIVERABLE
The Runbook. Architecture, controls, audit trail. Written so your most skeptical reviewer signs it.

Fig. 01 · Staged autonomy. Every gate is earned. Every gate reverses.

02
The ops ledger

Every workflow gets a verdict.
Some verdicts cost us money.

Discovery agents connect read-only and measure how the business actually runs. Then every workflow is triaged: ship now, hold, or probe deeper. Verdicts are published even when they kill our own build.

WorkflowFunctionVolumeVerdictBasis
Invoice intake & matchingFINANCE OPS11,400 / moSHIP NOWBounded task, reversible writes, modeled payback under eight months.
Support ticket triageCX26,000 / moSHIP NOWHigh volume, clean labels, small blast radius.
Contract clause reviewLEGAL OPS900 / moPROBEThe signal is promising, but the precedent lives in two lawyers' heads. Instrument first, recommend second.
Claims intakeINSURANCE OPS4,700 / moHOLDUpstream data quality is below the bar. We specified the fix, and what the workflow is worth once it lands.
Forecast overridesPLANNING2,100 / moHOLDTeams override 60% of system output. Automating this today just hardens a broken loop. Stabilize first.
Vendor onboarding checksPROCUREMENT1,300 / moSHIP NOWRepetitive verification against public sources, full audit trail, easy rollback.

Fig. 02 · Representative engagement output. Fixed fee · three weeks · read-only access. Priced to be worth it even if you never buy anything else from us.

03
The sealed replica

A rehearsal space that doubles
as a security review.

In our world the security review is the longest pole in every deal. We shorten it with artifacts, not adjectives.

01

Your boundary, your keys

The replica runs inside your cloud boundary with client-held keys. Encrypted in transit and at rest. Nothing you give us trains a model that serves anyone else. Including ours.

02

Attributable by construction

Every agent action in production is logged, attributable, and reversible. The audit trail isn't a report we generate afterward. It's the substrate the system runs on.

03

Attacked before launch

Deployed AI is new attack surface: prompt injection through documents the agent reads, exfiltration through tool calls, poisoned inputs steering decisions. We attack our own deployment inside the replica before anyone can outside it.

04

No security adjectives

We never lead with "secure AI". Every vendor says it and the words are worn smooth. We hand your most skeptical reviewer the Runbook and let them draw the conclusion.

04
Founders

Built by operators who
paid for the lesson.

We ran an AI operations company through the exact gap this firm exists to close. The method is what we wish someone had sold us.

Dan Raveh

Co-founder · CEO

Founded and led Efficio, AI back-office automation for fintechs and card issuers. Previously Pagaya and Commerce Ventures. Wharton MBA. Dan runs the client side of the loop: the ledger, the economics, and the go or no-go conversation.

Maayan Lahav

Co-founder · CPTO

Founded and led Efficio, AI back-office automation for fintechs and card issuers. Previously built data products at Via. IDF Unit 8200. Maayan builds the discovery agents, the sealed replica, and the gates that let autonomy be earned instead of assumed.

05
After the first win

A Head of AI
you can fire.

If AI mistakes can cost you real money, but a full-time Head of AI is hard to justify and the big consultancies save their bench for someone else, you're in the gap this role was built for. The stated goal is your sophistication, not your dependence: you should be able to fire any vendor without pain. Including us.

01

A living ledger

The Ops Ledger doesn't retire after the first deployment. We keep it current as your operation and the technology move.

02

Diligence on every vendor

We evaluate every AI product you consider, including our competitors, the way a security firm would: data practices, attack surface, exit paths.

03

Your side of the table

We negotiate AI contracts from your chair, and we make sure every agreement carries a tested exit path. Including ours.

04

Succession as a deliverable

When you're ready for a full-time internal Head of AI, we help hire and train that person, then hand over. Our own replacement is a milestone, not a threat.

Alignment, structural

Trust is a contract structure,
not a tone of voice.

Platform vendors are paid to expand their footprint. Consultancies are paid by the hour. Nobody in the room is paid to say "not this workflow", "not this vendor", "not yet". We built the business model so someone finally is.

10
New clients a year

Depth doesn't scale like slideware. The cap is public and defined, and the eleventh waits for January.

100%
Of contracts carry exit paths

Every agreement we negotiate for you includes a tested exit. So does the one you sign with us.

N > 0
Verdicts against our own interest

Documented, counted, referenceable. "They told us to buy elsewhere" is the reference call we want most.

01Deployments still in production at 24 monthsAll of them
02Unplanned rollbacksZero
03Ledger to rehearsal conversionThe trust gauge
04Retainer retentionThe decade
05Verdicts against our own interestCounted

The scoreboard we've signed up for. Revenue follows these numbers. It doesn't lead them.

Start where we start

See your operation measured.
Then decide.

Fixed fee · three weeks · read-only access