Accelerating AI adoption to create scalable efficiency
A leading transaction advisory firm supporting organizations throughout the deal lifecycle. Faced with increasing transaction volumes and growing pressure to improve efficiency, the organization sought to identify and prioritize AI opportunities capable of accelerating delivery, improving quality, and creating scalable operational efficiencies.
Our approach
Establishing an AI roadmap for transaction advisory
01
Process & technology assessment
Mapped the end-to-end transaction advisory value chain, assessing AI readiness, technology capabilities, data quality, and existing processes to identify automation potential.
02
AI opportunity identification
Collaboratively identified and evaluated AI use cases across transaction advisory processes, assessing business value, implementation feasibility, organizational readiness, and time-to-value.
03
Business case development
Developed detailed business cases for the highest-priority AI initiatives, including implementation costs, operational impact, ROI, and build-versus-buy assessments.
04
AI implementation roadmap
Developed a 12-month AI implementation roadmap defining governance, operating model, change management initiatives, and prioritized AI projects ready for execution.
Key deliverables
Enabling AI from roadmap to long-term integration support
01
AI opportunity portfolio
Identified 36 AI use cases across 45 process steps, with the 10 highest-value use cases prioritized based on value creation potential and implementation feasibility.
02
Knowledge & expertise discovery
Developed AI-powered applications to identify internal expertise, locate reference projects, and connect employees with relevant skills across the organization.
03
AI business cases
Developed comprehensive business cases for seven priority use cases, including ROI analysis, implementation costs, operating costs, and expected efficiency gains.
04
AI operating model
Established governance structures, organizational responsibilities, and implementation principles required for sustainable AI adoption.
05
Priority AI implementations
Transitioned two priority AI use cases directly into implementation, including an AI-powered executive summary generator and an AI quality checker, accelerating time-to-value and demonstrating early business impact.
06
Change & capability enablement
Developed an organizational change and adoption plan to support long-term AI integration across advisory teams.
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