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Leone Intelligence Systems

ENTERPRISE AI / PILOT TO PRODUCTION

Most enterprise AI stalls at the pilot. We put yours into production.

We take one high-cost workflow, wire it to the data and tools you already run, prove it against acceptance tests you approve, and hand over the working system — source, runbooks and traces included.

No production access and no NDA needed to start. You leave the first review with a fit verdict, the material risks, and a written stop/go — even if we never build. A brief naming an owner, a budget, and a date books that review on the spot; anything else gets a reply within two business days.

1
workflow per engagement
Written
stop/go verdict from the first review
Yours
source, runbooks, and traces at handover
Industrial operationsB2B service firmsFounder-led enterprisesFamily officesRegulated back office

01 BEFORE STATE

You already know which workflow is bleeding.

It runs on people, spreadsheets, and knowledge that lives in one head. It holds up fine until volume, turnover, or an audit hits it.

Industrial operations

Planners re-key the same order data into three systems every morning, then reconcile what does not match.

Cost: hours a day, and errors nobody catches until the customer does.

B2B service firms

Analysts rebuild the same client report each cycle because no two source files agree.

Cost: senior hours spent assembling instead of deciding.

Regulated back office

Review and approval wait on the one person who knows where every document lives.

Cost: a single point of failure standing between you and the deadline.

02 PROOF

Procurement and security see the evidence before go-live.

Every build ships with the workflow boundary, the acceptance tests, the approval trace, the runbook, and the ownership map. They answer what the system may do, where it must stop, and who runs it.

Acceptance gates

Agreed before any codeNamedfail conditions and owners

Fail conditions, owners, excluded data, and handover criteria are signed off before the build starts. Miss a gate and the milestone is not billed.

Ownership package

No lock-in by designOwnedsource, runbooks, traces

Source, runbooks, traces, and deployment knowledge transfer to your team. You can run, audit, and extend the system without calling us back.

Stop/go review

A no is a valid resultStop/gowritten decision either way

The review can end in do-not-build. You keep the fit verdict, the red flags, and the decision criteria at no further cost.

03 METHOD

Review, build, hand over. One accountable team.

STEP 01

Review

30 minutes to take one workflow apart: owner, decision, data boundary, acceptance tests, and the reasons not to build it.

STEP 02

Build

Retrieval, agents, evaluations, human approvals, interface, and deployment shipped as one working system against the agreed gates.

STEP 03

Hand over

Source, runbooks, traces, deployment knowledge, and the acceptance record transfer to the team that will operate it.

04 ENGAGEMENT PATHS

Take the smallest step that retires the risk.

Advisory

AI workflow assessment

Stop/go before delivery

One workflow needs a stop/go before you commit budget, data access, or a build team.

Fit: an owner can name the workflow, what failure costs, and who decides.

You get: a decision record, a viable scope, and the risks in writing.

Risk: capped at one bounded review, before implementation.

Book the review
Delivery

Production AI delivery

Build with acceptance gates

One team maps, builds, evaluates, deploys, and hands over the workflow as an operating system.

Fit: the owner can make data, integration, review, and acceptance calls.

You get: a working system, the evidence bundle, the runbook, and owned source.

Risk: release gates agreed up front — a missed gate is an unpaid milestone.

Scope the build
Procurement

RFP and vendor evaluation

Ready for vendor review

Your buying process needs a defensible scope, evaluation criteria, and straight answers.

Fit: procurement, technical evaluation, or a shortlist is already running.

You get: an RFP-ready scope grounded in evidence, ownership, and constraints.

Risk: delivery, security, and handover gaps surface before the award.

Prepare the vendor decision

05 STRAIGHT ANSWERS

The questions that decide this, answered before the call.

If one of these is your blocker, you can settle it here instead of spending a meeting on it.

Our data cannot leave our environment.

Then it does not. The first review needs no production access at all — a described workflow is enough. Builds run inside your boundary, with excluded data named in the contract before code starts.

We already have an internal AI team.

Good. Then you likely do not need us to build. What teams in that position usually buy is the acceptance bar: the evaluation set, the approval gates, and the evidence procurement will ask for.

What if the review says do not build?

That is a valid outcome and the cheapest one available. You keep the fit verdict, the red flags, the timing assumptions, and the decision criteria. We do not invoice a build that should not happen.

How do we avoid being locked into you?

Source, runbooks, traces, and deployment knowledge are handover deliverables, not upsells. The handover is a named acceptance gate: if your team cannot run the system without us, the milestone is not complete.

We are mid-RFP and cannot start something new.

Use the procurement path. We answer scope, security, evidence, and handover questions in the format your evaluation already uses — with or without us on the shortlist.

What does it cost?

The first review costs nothing and ends in a written stop/go. A build is a fixed scope billed on acceptance gates you sign before any code: a missed gate is an unpaid milestone, and the handover is itself a gate. There is no price list. The Pricing page explains how the money works and which budget bands open the calendar on the spot.

One workflow. One owner. 30 minutes.

Tell us the workflow, the current workaround, and what failure costs. You get fit, the material risks, and a written stop/go — before anyone talks scope or budget.

06 BRIEF

The Production AI Brief

One note a month on evaluation, controls, deployment, and ownership past the prototype. No pitch, unsubscribe in one click.