Solving the challenges of AI

• Tightening AI Governance

  Challenges	iX Workbench Outcomes
  1. Unclear data lineage and quality	In-built governance and guardrails
  2. Pressure for shorter audit cycles	Data compliance tracking
  3. Rising regulatory costs	30-50% less audit resource costs

   

• Building AI Literacy

  Challenges	iX Workbench Outcomes
  1. Balancing automation  vs. reskilling	Reskilling in lower flow of work
  2. Low AI confidence and adoption	AI as a catalyst for growth
  3. Proving L&D value in AI upskilling	Data for ROI and skill insights

   

• Stronger AI Operations

  Challenges	iX Workbench Outcomes
  1. Siloed digital efforts	Across teams AI collaboration
  2. Scaling use cases & pilots	80-90% pilot-to-production rate
  3. App development delays	AI build assurance in workflows

   

• Unlocking AI Value

  Challenges	iX Workbench Outcomes
  1. Speculative AI use	10-20% uplift in AI use case ROI
  2. Hard-to-act insights	Responsible AI that trust
  3. Regulatory worries	Compliance built in processes