Executive Summary
A mid-market B2B company recognized that AI was strategically important — but leadership lacked clarity on where it would create the most value, which initiatives to prioritize, and what was required to execute.
SaasFast conducted an AI Readiness Assessment that delivered executive alignment, a prioritized AI roadmap, and a clear plan for implementation.
Client Profile
- Industry
- ** B2B Technology / Services
- Company Size
- ** 50–200 employees
- Business Model
- ** B2B, subscription and project-based
- Services Delivered
- ** AI Readiness Assessment, Strategic Roadmap
Challenge
Leadership was under pressure to adopt AI but faced significant uncertainty:
- Multiple departments were experimenting with AI tools independently
- No prioritization framework existed for evaluating AI investments
- The company lacked internal AI expertise
- Data quality and infrastructure gaps were unknown
- Previous AI tool purchases had delivered minimal measurable value
Root Cause
AI initiatives were being driven by enthusiasm rather than strategy. Without a structured framework for evaluating readiness, prioritizing use cases, and addressing foundational gaps, each new tool became an isolated experiment rather than a coordinated investment.
Approach
- 01
Stakeholder Interviews
Conducted interviews with executives, department heads, and operational leaders to understand current workflows, pain points, and AI aspirations.
- 02
Workflow Assessment
Mapped key workflows across sales, marketing, operations, and customer success to identify automation and AI opportunities.
- 03
Technology Review
Evaluated the current technology stack for AI readiness, integration capabilities, and data quality.
- 04
Opportunity Analysis
Scored and prioritized AI use cases by potential impact and implementation feasibility.
- 05
Roadmap Development
Created a phased implementation roadmap aligned to business priorities.
Solutions Implemented
Solutions Implemented
- AI Readiness Scorecard (scored across people, processes, data, systems, governance)
- Prioritized AI opportunity map — 15 use cases ranked by impact and feasibility
- Gap analysis documenting data quality, infrastructure, and skill requirements
- Phased 12-month AI implementation roadmap
- Executive presentation for board and leadership alignment
Results
- Executive team aligned on AI priorities for the first time
- Top 5 AI use cases identified for immediate implementation
- Data and infrastructure gaps documented with remediation plan
- Quick wins launched within 60 days of assessment delivery
- Long-term roadmap established to guide AI investment over 12–18 months
Takeaways
1. AI strategy must precede AI tooling — without a roadmap, every tool purchase is a guess. 2. Readiness gaps are addressable — most organizations are closer to AI-readiness than they think. 3. Executive alignment is the most valuable outcome of an assessment — without it, nothing moves.