Case Studies

Automated lead profiling for PE firm, integrating 4 data sources with ML scoring to surface high-quality acquisition targets.

• 8x increase in qualified leads
• >90% reduction in analyst time per lead
• 4 systems integrated seamlessly
• Production deployment to daily workflow

Platform enabling PE firm to collaborate with portfolio companies on bolt-on acquisitions with automated enrichment and unified pipeline management.

• 5x research velocity - weeks to days per project
• 70% time savings - refocus on strategic analysis
• 3x pipeline coverage - 150 to 450+ opportunities
• Integrated research, enrichment, and CRM

AI Value Showcase delivering 95% time reduction and 30-40% accuracy improvement in 6 weeks for energy provider.

• 95% time reduction - 2 days to 10 minutes
• 30-40% accuracy improvement
• 6-week rapid deployment to production
• 15-minute interval granularity

Snowflake ML and Cortex platform providing job-level risk scoring and natural language safety queries.

• Proactive job-level risk scoring deployed
• 6 data sources unified in Snowflake
• Natural language query interface
• 70%+ reduction in investigation time

ML-based elasticity modelling and automated scenario generation for commercial pricing strategy.

• Advanced ML elasticity models deployed
• 100x+ scenario expansion
• Optimisation algorithm integration
• Quantified promotion ROI visibility

Function-level AI strategy with defensible roadmap mapping activities to solutions, tech stack, and ROI.

• Multi-dimensional capability mapping
• Defensible initiative prioritisation
• Technology stack alignment
• Skills gap analysis with ROI estimates

Rapid 6-8 week advisory engagement automating case preparation with hybrid API and browser automation.

• 90% automation of case prep work
• 6-8 week delivery to production
• Hybrid API + Selenium integration
• Template-driven output generation

Remote fractional CTO engagement establishing team structure and engineering processes for pre-seed start-up.

• Team structure for 7 engineers
• Engineering processes systemised
• Production readiness roadmap
• Successful handover to incoming CTO

2-hour focused primer establishing common AI language and demonstrating spectrum of solutions for boutique investment bank.

• 20 employees aligned on AI terminology
• AI spectrum framework adopted
• Live sector-specific demonstrations
• Risk awareness and next steps defined