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Leone Intelligence Systems

Systems

Move one enterprise AI workflow from decision to operation.

Three ways in: a bounded review, a full build, or an evidence-led vendor decision. Each one names the owner, the data boundary, and the acceptance bar before spend.

advisory

AI workflow assessment

Stop/go before build

Test the operating case, options, architecture, data boundary, and acceptance bar before a delivery mandate is signed.

Fit: a decision owner needs a bounded stop/go recommendation.

Outcome: decision record and a path that can be funded or declined.

Risk reduced: unknown scope and unsupported assumptions surface early.

Book a workflow review
project_delivery

Production AI delivery

Build, evaluate, hand over

Map, build, evaluate, deploy, and hand over retrieval, agent behavior, tools, approvals, UI, and operating controls as one project.

Fit: an accountable owner can provide access, decisions, and acceptance criteria.

Outcome: a working system, evidence bundle, runbook, and owned source.

Risk reduced: release gates and handover responsibilities are explicit.

Scope a delivery engagement
procurement

RFP and vendor evaluation

Scope for vendor review

Shape a vendor conversation around workflow scope, evaluation criteria, security questions, delivery evidence, and ownership boundaries.

Fit: procurement, technical evaluation, or a shortlist process needs a clear response.

Outcome: a procurement-ready scope and an evidence-led next step.

Risk reduced: delivery gaps are visible before award or implementation.

Prepare the vendor decision

Readiness means the responsible team can control the system.

The responsible team verifies sources before use, stops unsafe output, recovers from failure, operates the workflow, and owns the code, runbooks, traces, and improvement path.

Source verification before useUnsafe-output stop and escalationRecovery and rollback procedureNamed operating ownerAcceptance and release gatesCode, runbooks, traces, and improvement ownership

The workflow, not the model, is the product boundary.

Data, models, tools, human review, evaluation, deployment, and handover form one lifecycle. Security, integration, stop conditions, rollback, and ownership are part of the delivery scope, not a later add-on.

  1. Intake
  2. Memory
  3. Tools
  4. Review
  5. Evaluation
  6. Deployment
  7. Handover