Engagement 01

Know exactly where to start — and what it's worth.

Most companies waste months and money on data and AI because they skip the strategy. Our 2–3 week assessment gives you a concrete roadmap, prioritized by ROI — so your first investment goes to the highest-return initiative, not the loudest idea in the room.

⏲ 2–3 weeks · Delivered as a working document

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What You Get

Six deliverables. Zero theoretical slide decks.

Every assessment ends with a complete strategy package your leadership team can act on immediately — not a document that collects dust.

🗂️

Current-State Data Audit

Complete inventory of every data source, system, and workflow in your business — spreadsheets, CRMs, ERPs, POS, accounting software — with quality gaps and integration opportunities mapped.

🔭

Competitive Gap Analysis

How your data and technology capabilities compare to direct competitors and companies one tier above you. Where you're behind, and what closing that gap looks like.

🗺️

AI Opportunity Map

Specific AI and machine learning applications identified across every function — sales, operations, finance, marketing, and customer service — ranked by feasibility and business impact.

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Prioritized Implementation Roadmap

A sequenced plan that tells you what to build first, second, and third — with dependencies, timelines, and resource requirements spelled out. Built for execution, not presentation.

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ROI Projections

Financial modeling for the top 3 AI initiatives — expected returns, cost estimates, payback periods, and the assumptions behind the numbers. So you can make a real business decision.

⚙️

Technology Stack Recommendations

Specific platforms, tools, and architecture decisions with cost comparisons. We tell you exactly what to buy, build, or avoid — and why.

How It Works

Three weeks. No surprises.

The assessment is structured so you see progress every few days, not just at the end.

Discovery & Stakeholder Interviews

We spend the first few days talking to the people who actually run your business — operations, finance, sales, and any technical staff. We're learning how decisions get made, where the bottlenecks are, and what data already exists.

Days 1–4

Data Landscape Audit

We map every data source in your organization — what exists, where it lives, what shape it's in, and how it's currently being used. We identify integration opportunities and quality issues that would block AI implementations.

Days 5–9

Opportunity Analysis & Prioritization

We map every viable AI application against your business model, data availability, and competitive context. Then we build the ROI models and stack-rank the opportunities by expected return and implementation complexity.

Days 10–14

Roadmap Delivery & Walkthrough

We deliver the full strategy package and walk your leadership team through every recommendation. You leave with a document your team can use to make decisions — and a clear picture of what comes next.

Days 15–21

Often Paired With

The assessment is the starting point. These are the next steps.

Most clients use the strategy roadmap to move directly into a platform build or AI implementation. Each engagement is independent, but they're designed to build on each other.

Platform Architecture & Build

Once you know what to build, we build it — AWS data infrastructure, automated pipelines, and real-time dashboards. Live in 8–12 weeks.

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AI & ML Implementation

Custom machine learning models and AI agents built for your specific business problems. Cash flow forecasting, demand prediction, process automation.

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See it in action — view client results →

Get Started

The assessment starts with a 45-minute call.

We'll talk about your business, your data, and what AI could realistically do for you. If an assessment makes sense, we'll scope it on that call. No pitch, no obligation.

Schedule a Discovery Call