AI Strategy & Planning

Purpose:

"What should we do with AI, and why?"

  • Focuses on business opportunities and long-term vision.
Key Activities:
  • Identifies high-impact AI use cases (e.g., "Automate invoice processing to save 200 hrs/month").
  • Maps AI initiatives to corporate goals (cost reduction, customer experience, etc.).
  • Provides a vendor-agnostic roadmap (build vs. buy recommendations).
Ideal For:
  • Leadership teams who need to align AI with business strategy.
  • Companies new to AI or pivoting their approach.

AI Readiness Assessment

Purpose:

"Can we execute AI, and what’s blocking us?"

  • Focuses on operational and technical preparedness.
Key Activities:
  • Audits data quality (e.g., "Your CRM data is 40% incomplete for predictive modeling").
  • Reviews IT infrastructure (cloud compatibility, GPU needs, etc.).
  • Assesses team skills (gaps in data literacy, engineering talent).
Ideal For:
  • Companies with existing AI plans that need tactical groundwork.
  • Teams unsure why past AI projects failed.

Custom AI Solution Development

Purpose:

"Build AI tools that solve your specific problems."

  • Focuses on hands-on implementation of tailored AI systems.
Key Activities:
  • Develops production-ready AI models (e.g., predictive maintenance for machinery).
  • Integrates solutions with your existing tech stack (CRMs, ERPs, etc.).
  • Provides user training and documentation.
Ideal For:
  • Companies with clear use cases and ready-to-use data.
  • Teams that need bespoke tools (vs. off-the-shelf software).