Process

How AI Implementation Works at Leowix

Six clear stages connect business value, technical delivery, responsible controls and team adoption.

  1. 01

    Discover

    We map your goals, workflows, systems and constraints. You leave with a clear problem definition and agreed measures of success.

    Week 1
  2. 02

    Prioritize

    We score opportunities by value, feasibility and risk, then choose the smallest implementation that can prove meaningful impact.

    Week 1–2
  3. 03

    Prototype

    We create a working proof of value using representative data, real workflows and clear human review points.

    Week 2–3
  4. 04

    Implement

    We connect your systems, prepare data, build the production solution and add monitoring, controls and fallback paths.

    Week 3–6
  5. 05

    Validate & Launch

    We evaluate quality, security, reliability and cost with your team before a controlled production rollout.

    Week 6–8
  6. 06

    Adopt & Improve

    We train users, monitor outcomes and improve the system as your data, processes and priorities evolve.

    Ongoing

Timelines are estimates and vary with scope, data access, integrations and review requirements.

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Tell us where work is slow, repetitive or difficult to scale. We'll identify the clearest path forward.