A roadmap that doesn't collect dust.
A roadmap that actually leads somewhere.
You know AI matters. But every “AI strategy” you've seen is either a 200-page consulting deck nobody reads, or a vague vision statement with no execution plan. You need something you can actually act on — this quarter, with your team, at your budget.
What We Deliver
A practical, actionable AI strategy — not a shelf ornament. Our approach covers everything from technical implementation to AI-powered SEO strategies that drive organic growth.
Operational Audit
We map your current processes, identify AI-ready opportunities, and rank them by ROI and feasibility. No guessing.
Phased Roadmap
A realistic plan with clear milestones, resource requirements, and budget ranges. Phase 1 starts within weeks, not months.
Team Readiness Assessment
Honest evaluation of your internal capabilities and what you'll need to hire, train, or outsource.
First Project Scoping
We don't just hand you a plan. We scope the first project in detail so you can start building immediately. Common first projects include Revenue Engine for sales automation, Phoenix Shield for codebase security, or Custom AI Solutions for unique challenges.
Who It's For
CEOs and leadership teams who want to move on AI but need a clear, practical starting point. Our strategy work often leads to implementation of solutions like Revenue Engine, Influence, Phoenix Shield, or Custom AI Solutions. Need governance? AI Policy ensures safe rollout.
Related Solutions
These solutions work well together or complement this offering
Frequently Asked Questions
What is an AI strategy and why do I need one?
An AI strategy is a roadmap that identifies where AI can create value in your business, prioritizes opportunities by ROI and feasibility, and defines a phased implementation plan. You need one if you're spending time on AI pilots that go nowhere, unsure which AI opportunities to pursue first, lacking clarity on budget and team requirements, or want to move on AI but don't know where to start. A good AI strategy turns AI hype into actionable projects you can execute this quarter.
How long does AI strategy consulting take?
Typical AI strategy engagements run 4-6 weeks and include: Week 1-2 (operational audit and process mapping), Week 3 (opportunity prioritization and roadmap development), Week 4 (team readiness assessment and first project scoping), Week 5-6 (final deliverables and implementation kickoff). You walk away with a phased roadmap, budget estimates, team requirements, and a detailed scope for your first AI project. Fast-track engagements for smaller companies can be completed in 2-3 weeks.
What does AI strategy consulting cost?
AI strategy consulting pricing varies by company size and complexity. Small businesses (10-50 employees) typically invest $13,000-$25,000 for a foundational strategy. Mid-market companies (50-500 employees) range from $25,000-$65,000 for comprehensive strategy including implementation roadmap and change management. Enterprise engagements (500+ employees, multiple business units) start at $65,000. All engagements include operational audit, phased roadmap, first project scoping, and quarterly review sessions. Contact us for a custom quote.
How is AI strategy different from digital transformation strategy?
AI strategy is a focused subset of digital transformation. Digital transformation covers all technology-driven business change (cloud migration, process digitization, CRM implementation). AI strategy specifically targets opportunities where machine learning, natural language processing, and intelligent automation create value. AI strategy is more technical, requires deeper assessment of data readiness and model feasibility, and delivers higher ROI when targeted correctly. Many companies have digital transformation strategies but lack AI-specific roadmaps—that's where we help.
What happens after the AI strategy is delivered?
After strategy delivery, most clients move directly to implementation of their first AI project. Common first projects include Revenue Engine (sales and marketing automation), Phoenix Shield (codebase security assessment), Influence (influencer marketing automation), or Custom AI Solutions (bespoke implementations). We scope the first project in detail during the strategy phase so you can start building immediately. We also offer quarterly strategy reviews to adjust the roadmap based on results and new opportunities.
Do we need an AI strategy if we're already using AI tools?
Yes, especially if you're using AI tools in silos. Common scenario: marketing uses AI for content, sales uses AI for outreach, product uses AI for analytics—but nothing connects and ROI is unclear. AI strategy unifies these efforts, identifies integration opportunities, eliminates redundant tools, and ensures AI investments ladder up to business goals. If you're spending on AI but can't articulate the impact, you need a strategy.
Ready to build your AI roadmap?
Book a conversation and we'll help you find the right starting point for your business.
Build Your AI Roadmap