Overview:

ReadyTech provides software-as-a-service (SaaS) solutions across education, workforce management, and government. Their challenge was to leverage AI to enhance product offerings and internal efficiency, while maintaining compliance and trust with enterprise and public-sector clients.

Challenge:

  • Regulatory constraints: Operating in government and education meant data privacy and compliance were critical.

  • Customer diversity: Products served very different markets, requiring AI strategies that worked across varied contexts.

  • Scaling AI internally: Needed to upskill teams and align product, engineering, and compliance functions.

Approach:

1. Strategic Alignment

  • Facilitated executive strategy sessions to define where AI could drive differentiation (e.g., student engagement analytics, predictive workforce planning).

  • Balanced innovation with compliance by involving legal and risk teams early.

2. Product Pilots

  • Ran controlled pilots integrating AI into workforce platforms (predictive rostering, employee attrition forecasting).

  • Deployed natural language processing in education solutions for student support and engagement insights.

3. Capability Development

  • Rolled out AI learning programs for product managers, engineers, and client-facing teams.
  • Created internal governance playbooks ensuring ethical, compliant use of AI across business units.

Outcomes

  • Increased adoption of ReadyTech solutions due to enhanced predictive and automation features.
  • Stronger market positioning as a SaaS provider able to integrate AI responsibly.
  • Built trust with enterprise and government clients by embedding compliance-by-design into AI rollouts.
  • Established an AI governance framework that could flex across multiple industry verticals.

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