Speaking engagements

Professional Services AI Strategy & Prioritisation Roadmap

Context:
A leading professional-services advisory firm, engaged Ada X Labs to help senior leaders identify where AI could create measurable value across client delivery and internal operations.

Approach:
Marcel facilitated executive-level workshops with 20+ professionals, using the Ada X Impact Assessment and 3-Horizon Value Map frameworks to connect business strategy with AI opportunity.

Outcome:

• Six priority AI initiatives identified and quantified 3 business areas.
  
  
• Adoption KPIs defined to target 25% of revenue from AI-enabled services by 2030.
  
  
• Provided executive decision templates and a phased roadmap now informing FY2025–27 investment planning.

Legal AI Intake Tool – Go-to-Market Strategy

Context:
A leading access to justice organisation developed an ethical, AI-powered client intake and triage tool for community legal centres and small law firms. They engaged Ada X Labs to refine its commercialisation strategy.

Approach:
Marcel led a full go-to-market (GTM) strategy sprint, defining product tiers, commercial options, and total addressable market (TAM) based on Australian legal sector data.

Outcome:

• TAM validated at AUD $10+ million, with clear buyer personas and revenue scenarios.
  
  
• Refined value proposition and investor-ready materials used in funding discussions.
  
  
• Pilot pipeline established with 10+ early-adopter firms across community legal and SME segments.

Ticketing Platform - AI Roadmap for Fan Engagement

Context:
A leading ticketing and fan-engagement platform, sought to use AI for growth with personalisation and automated customer support.

Approach:
Marcel identified AI transformation opportunities  covering personalisation, fan-data strategy, and process automation, with experiments linking recommendation systems to membership conversion.

Outcome:

• Target 20% increase in membership uptake through personalised recommendations.
  
  
• Target 50% reduction in customer response time through AI-assisted automation.
  
  
• Strategic recommendations for an innovation roadmap, guiding investment and upskilling initiatives.

Fifteen years across law, banking, and telecommunications.

Enterprise Track Record

70%+

GenAI adoption across 2,000 staff

Legal — King & Wood Mallesons

• Firmwide AI programs across 2,000 staff (sustained adoption)
• Solutions used in complex matters of $10B+; firmwide AI certification uplift
• Governance and enablement for partners and practice groups

75%

Faster cycle time across 50,000 legal matters

Banking — Big 4 Australian Bank

• Legal triage platform; captured leaked work and improved SLAs
• Enterprise wide innovation with measurable cycle-time cuts
• Ops change, service design, and data quality uplift

$15B+

Procurement transformation programs, 96% faster PO cycles

Telco — IBM

• Procurement transformation at $15B annual spend scale
• Digital enablement for large workforce; new purchasing models
• Automation and governance for auditability

AI Strategy & Roadmaps

Buy this for: Prioritised AI investments and a plan your ELT can back.

Includes:

• Executive alignment workshops
• Value & risk mapping
• 12-month roadmap + 3/5-year horizons

Typical engagement:  4-8 weeks

Adoption & Capability

Buy this for: Confident teams and visible usage.

Includes:

• AI literacy pathways
• Role-based enablement programs
• Change management using ADKAR + Design Thinking

Typical engagement: 8-16 weeks

Pilot → Scale

Buy this for: Experiments that graduate to production.

Includes:

• Pilot design + success criteria
• Evaluation harness & ROI tracking
• Scaling playbooks and guardrails

Typical engagement: 12-24 weeks

Innovation & Business Models

Buy this for: New revenue and reimagined services.

Includes:

• Design Thinking sprints
• 3-Horizon portfolio mapping
• Product-market fit experiments

Typical engagement:  6-12 weeks