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Map your AI opportunity.
Define your first production use case.

A structured, two-week engagement to map your AI opportunities, assess data readiness, and define your first production use case. No commitment beyond the workshop.

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Duration2 weeks

FormatRemote + on-site (flexible)

TeamSenior AI, architecture, and domain leads

Output6 deliverables (see below)

CommitmentNone beyond the workshop

What you get

Six deliverables. Zero ambiguity.

Workflow and use-case map

We identify the highest-value AI intervention points across your existing business workflows, documents, and decision flows.

Data readiness assessment

We evaluate your data estate, integration landscape, and system dependencies to determine what is AI-ready and what needs preparation.

Prioritized use-case backlog

Ranked use cases by business value, feasibility, adoption readiness, and dependency logic so you know where to start.

First production use-case spec

A scoped, deliverable-ready specification for your first AI production system including architecture, governance, and success criteria.

Business case and ROI framing

Quantified capacity release, cycle-time compression, and operational-value projections that leadership can evaluate clearly.

Transformation roadmap

A phased roadmap that sequences investment from foundation through scale to intelligence so you never try to modernize everything at once.

The process

Two weeks. Five phases. One clear outcome.

Intake and alignment

We align on business objectives, key stakeholders, and the workflows where AI opportunity is strongest.

Day 1–2

Workflow discovery

Stakeholder interviews, system reviews, document-flow mapping, and decision-point identification across your operations.

Day 3–6

Use-case mapping

We identify, classify, and score AI and automation use cases against value, feasibility, and adoption readiness.

Day 7–8

Solution framing

Architecture thinking, governance model, integration requirements, and first-use-case specification.

Day 9–10

Readout and roadmap

Executive presentation with prioritized backlog, business case, and phased transformation roadmap.

Day 11–12

Who this is for

Built for teams where AI ambition has outpaced delivery progress.

Manufacturing companies with document-heavy tendering, engineering, or quality workflows

Oil and gas operators with well-data, field-reporting, or operational-intelligence needs

Health-tech companies building clinical AI, documentation support, or patient workflow systems

Enterprises with compliance-heavy learning, case management, or content operations

Any organization where AI ambition has outpaced practical delivery progress

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