StronglyAI AI Primer - AI Strategy and Roadmap Engagement

One principle guides the work: we prioritize AI that delivers measurable business value and avoid building AI for AI's sake.

## Who It Is For

Leaders who know AI matters but need to decide where to start, with confidence the first project will deliver and reach production. Run it at the start of an AI program, or when a backlog of ideas has stalled and needs an objective, shared way to prioritize.

**Example scenario - Financial services firm with a fraud detection backlog:** A mid-market fintech has a dozen AI ideas across fraud scoring, customer churn prediction, and document processing but cannot agree on where to start. The AI Primer gathers their transaction data inventory, scores each opportunity on business value (revenue protection, regulatory fit) and implementation difficulty (data completeness, model complexity), and delivers a roadmap with the top three scoped as thin vertical slices - such as a fraud scoring model on their existing AWS infrastructure that can reach production in 8 weeks and demonstrate ROI before the next budget cycle.

## The Engagement at a Glance

**Week 1 - Discovery:** We gather your strategic goals and KPIs, priority problems and target users, data and cloud platform, existing AI and ML tooling, security and compliance constraints, and a full inventory of available data sources including quality, freshness, access and ownership.

**Week 2 - Workshop:** A one-day session with your stakeholders where we review discovery findings, present the top AI opportunities, and run a live prioritization exercise scoring every candidate on business value (strategic fit, quantifiable impact, revenue and monetization) and implementation difficulty (data readiness, modeling complexity, production and adoption).

**Week 3 - Roadmap:** Opportunities are evaluated across four capability areas:

• **Generative AI** - RAG assistants, document intelligence, content generation and search over your data
• **Agents and automation** - Multi-step workflows, copilots and automation of back-office processes
• **Predictive ML** - Forecasting, churn, propensity and risk or fraud scoring
• **Decision intelligence** - Optimization, pricing, routing and recommendation systems

Each opportunity is scoped as a thin vertical slice through application, model, data and platform - sized to reach production and return value quickly so early ROI funds the next slice.

## Your Deliverables

• **Prioritized AI roadmap** - The full scored and sequenced backlog of opportunities
• **Opportunity prioritization map** - The value versus difficulty exhibit for every idea
• **Data readiness assessment** - Gaps, risks and what to resolve before building
• **Three solution briefs** - Build-ready plans for the top three thin slices
• **Path to production plan** - How the first slice gets deployed and maintained on AWS
• **Effort and ROI estimates** - Timeline and expected return for the top three

Everything is yours to keep whether or not you continue with StronglyAI.

## Why StronglyAI

StronglyAI brings over 20 years of enterprise transformation experience, with roots in Pivotal and A42 Labs across hundreds of engagements. We work as a balanced team embedded alongside your engineers and analysts, with forward-deployed engineers who build from discovery through production. Our platform delivers up to 10x faster time from idea to production and up to 70% lower AI spend through routing and caching.

This professional services engagement relates to AI and machine learning workloads designed to run on AWS, deployed in the customer's own AWS account. Customers are responsible for their own AWS infrastructure charges, which are separate from this engagement.