AI Strategy Consulting That Delivers a Board-Ready Roadmap

Typically 6–12 weeks from discovery to final roadmap delivery. Quick Wins are identified in the first 3 weeks so you can start showing value immediately, even while the full strategy is being finalized.

No. The roadmap, architecture blueprints, and governance frameworks are designed to be vendor-agnostic. You can implement with your internal team, another partner, or with us. No lock-in.

We specialize in AI recovery. We'll audit what went wrong, salvage viable initiatives, and rebuild the roadmap around realistic timelines and proven architectures. 40% of our strategy clients come to us after a failed first attempt.

All assessments are conducted under NDA with SOC 2-compliant practices. We can work on-premise if required. Data never leaves your environment without explicit authorization.

Healthcare, financial services, manufacturing, retail, insurance, energy, construction, and government. Each vertical has dedicated solution architects who understand the regulatory and operational nuances.

Strategy engagements range from $50K for a focused assessment to $150K+ for comprehensive enterprise roadmaps. Every engagement includes ROI projections — you see the expected return before committing.

We assess your data maturity, identify the highest-ROI AI use cases for your business, select the right frameworks and architectures, build a phased roadmap with timelines and budgets, and create the governance structure to keep it compliant. The output is a board-ready plan your team can execute.

An AI strategy framework is a structured methodology for evaluating, prioritizing, and sequencing AI initiatives. Ours — the Innovoco AI Acceleration Framework — covers five pillars: Assess (data maturity), Prioritize (use cases by ROI), Architect (framework selection), Govern (compliance and ethics), and Roadmap (phased execution plan).

Ideally a cross-functional steering committee led by a C-suite sponsor (CTO, CDO, or COO). The strategy needs business alignment, not just technical direction. We facilitate this alignment as part of every engagement — ensuring IT, business units, and executives are on the same page.

AI consulting (strategy) tells you what to build and why. AI implementation builds it. We do both, but they're separate engagements. Strategy takes 4–12 weeks and produces a roadmap. Implementation takes 8–16 weeks and produces production software. Many clients start with strategy and continue to implementation with us.

Yes — if done right. Our clients see 171% average ROI within the first year. The cost of NOT having a strategy is higher: 85% of unguided AI projects fail to reach production, wasting $500K–$2M in sunk costs. A $50K–$150K strategy engagement prevents millions in failed experiments.

Full enforcement of the EU AI Act hits August 2, 2026 with penalties up to 7% of global revenue. Our governance framework includes AI system classification, risk assessment, documentation requirements, and monitoring protocols aligned with the Act. We help you inventory your AI systems and ensure compliance before the deadline.

Three reasons: speed (4 weeks vs 4 months for a roadmap), cost (50–70% less than Big 4 rates), and access (you work with senior architects, not junior analysts learning on your dime). We deliver the same enterprise-grade output without the overhead of a 200-person account team.

Yes — agentic AI (autonomous multi-step agents) is one of the most requested topics in 2026. Gartner predicts 40% of enterprise apps will feature AI agents by end of 2026, but 40%+ of those initiatives will fail without proper governance. We design agentic AI architectures with human-in-the-loop controls, guardrails, and clear ROI frameworks.