STRATAI
HOW WE WORK

YOUR AI IMPLEMENTATION
ROADMAP —
HOW STRATAI ENGAGES.

StratAI does not run AI projects. We build long-term AI Advantage Systems through a structured engagement model that begins before you pay a rupee.

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THE ENGAGEMENT JOURNEY
01
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.
02

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.
03
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.
04

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.
05

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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