HOW WE ENGAGE

YOUR AI IMPLEMENTATION ROADMAP.
FROM FIRST CONVERSATION TO P&L IMPACT.

Free half-day audit → 1-month deep dive → long-term AI build and retainer.

No experiments. Only outcomes.

THE ENGAGEMENT JOURNEY

FREE

Step 1: Free AI Audit Support

We spend half a day with your leadership and operations teams. No fee. No commitment. Our free AI audit support identifies 3–5 high-value AI use cases specific to your business and shows you which ones will move your P&L.

→Leadership briefing: your business model, current operations, strategic priorities

→Operations walkthrough: where the real friction lives — not where management assumes it does

→Data maturity assessment: what data exists, where it lives, what is ready

→Shortlist of 3–5 AI use cases ranked by P&L impact, specific to your business

OUTCOME: You leave with a clear picture of where AI can create real advantage in your business — before spending a rupee.

Step 2: AI Implementation Consulting — Deep Dive

Paid engagement. Our AI implementation consulting goes deep into your business — processes, data, systems, people. We identify exactly where AI implementation will have measurable P&L impact. At month-end, we present findings and recommendations to management.

→Floor-level process observation — understanding how work actually happens, not how it is described

→Data audit: quality, completeness, accessibility across systems (ERP, MES, spreadsheets)

→Stakeholder interviews across management and frontline teams

→Full AI implementation roadmap with P&L impact projections

OUTCOME: A complete AI Advantage System recommendation — which systems to build, in which order, with which expected P&L outcomes.

FREE

Management Prioritisation

Based on management's strategic priorities, we agree on which AI Advantage Systems to build first. This decision drives the retainer scope.

→Presentation of findings and recommendations to the leadership team

→Discussion of priorities: which P&L lever matters most right now

→Agreement on which AI Advantage System to build first

→Retainer scope defined — clear deliverables, clear P&L targets

OUTCOME: A shared commitment on what to build, in what sequence, and what success looks like in measurable terms.

Step 3: Long-Term AI Build & Retainer

We move into long-term retainer. Design the system architecture, configure the technology, integrate with existing systems, and implement with your teams through structured AI change management for manufacturers.

→AI implementation consulting: use case refinement and P&L target confirmation

→AI systems architecture: full blueprint — data flows, integrations, change management

→AI pilot program manufacturing: build, configure, test against your real production data

→AI implementation: phased rollout with your teams — adoption, not just deployment

OUTCOME: A working, tested, and adopted AI Advantage System — with real users, real data, and P&L impact tracking from day one.

AI Change Management for Manufacturers — Measure & Expand

We track P&L impact against agreed metrics. Typically visible at Month 4–6. We manage AI change management for manufacturers, iterate continuously, and expand to the next Advantage System as the first delivers results.

→KPI dashboards tracking P&L impact metrics agreed in Month 2

→Monthly reviews with management on system performance and next iterations

→Continuous improvement based on what the production data shows — never static

→Expansion planning: as System 1 delivers, we begin designing System 2

OUTCOME: Compounding AI advantage. Each system builds on the last. Your operations improve continuously.

WHY LONG-TERM RETAINER?

AI does not create advantage in a 3-month project. The 6-Month P&L Horizon framework shows that meaningful P&L impact requires at least Month 1–3 for diagnosis and build, Month 4–5 for adoption and early signals, and Month 6+ for visible financial results.

Retainer is not a pricing choice — it is what the model requires. A vendor on a fixed-cost project is incentivised to deliver the scope. A partner on a retainer is incentivised to deliver the outcome. Those are not the same thing.

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