AI Strategy That Gets Past the Pilot

AI strategy consulting at Haney Strategy is structured in phases, each with transparent pricing. The assessment phase runs $15,000 to $35,000 over 4 to 6 weeks and gives you a scored maturity evaluation, gap analysis, and prioritized use case map. It answers the question most companies skip: where do you actually stand?

A full strategy roadmap runs $25,000 to $75,000 over 8 to 12 weeks. This includes ROI modeling, technology architecture, governance framework, and a phased implementation plan with clear milestones and owners. For ongoing implementation leadership, engagements run $10,000 to $20,000 per month over 6 to 12 months.

For comparison, enterprise consulting firms charge $200,000 to $500,000 or more for similar strategy work, often without building anything. Our engagements include working systems, not just slide decks. Every dollar is tied to a deliverable.

All pricing is published on our pricing page because you should know whether this fits your budget before the first call.

ROI depends on what you build and how quickly you deploy it. Here is what we see in practice: proposal automation systems that save 10 or more hours per week in sales teams. Pipeline intelligence tools that improve win rates by identifying high-probability deals earlier. Content operations that reduce production time by 60% while increasing output quality.

The more important number is the cost of inaction. Failed AI pilots waste $50,000 to $200,000 in direct costs, not counting the organizational fatigue and lost credibility that make the next attempt harder. Companies that start with strategy instead of tools avoid those losses entirely.

Most engagements reach measurable ROI within 6 to 12 months. We establish a measurement framework in the first 30 days so you are tracking the right metrics from day one. The goal is not to justify the consulting spend. It is to build systems that generate returns long after the engagement ends.

The assessment phase takes 4 to 6 weeks and gives you a clear picture of where you stand across data, infrastructure, people, process, and governance. Strategy development runs 8 to 12 weeks after that, producing a phased roadmap with ROI projections, technology architecture, and defined milestones.

Implementation is where timelines vary most. Simple automations can be live in 6 to 8 weeks. Complex system builds, such as custom CRMs or AI-powered pricing engines, take 6 to 24 months depending on scope. Most companies see their first measurable ROI within 6 to 12 months of starting the engagement.

The reason we do not rush the assessment and strategy phases: 95% of AI pilots fail, and the primary cause is starting with technology before understanding readiness. Spending 10 to 18 weeks on strategy prevents spending 12 months recovering from a failed implementation. The companies that move fastest are the ones who planned most carefully. For a deeper look at what signals indicate your company is ready, read Is Your Company Ready for AI?