Data & AI

Data and AI systems built around one operating workflow, one owner, clear data readiness, and a production metric.

From capability to production outcome

Frame the workflow

Data & AI starts with GuidancePlex: business owner, technical owner, risks, data readiness, and the first measurable operating outcome.

Deploy in context

Forward deployed engineers build with the operators who will use the system, using partner platforms and iNBest accelerators where they fit.

Operate the outcome

After launch, the operating model keeps the system secure, observable, cost-aware, and improving against the agreed metric.

Use Case Definition

Choose the decision, task, or workflow where AI can change actual operating behavior.

Data Readiness

Review sources, access, quality, governance, privacy, and evaluation data before building models or agents.

Production Controls

Deploy with prompts, retrieval, evaluations, access control, monitoring, and a cadence for improvement.

Client outcomes

  • JAC Motors

    Power BI to centralize commercial reporting and give visibility across more than 50 agencies.

    Data & AI · Microsoft Azure · Automotive

  • OXXO

    Computer Vision and AWS to test product suggestions inside a physical store during Store of the Future.

    Data & AI · Amazon Web Services · Retail

  • ManPower

    AWS chatbot to answer repeated employment questions and free support capacity for Manpower teams.

    Data & AI · Amazon Web Services · HR & Staffing