Head-to-head comparison
franklin energy vs deloitte digital
deloitte digital leads by 20 points on AI adoption score.
franklin energy
Stage: Early
Key opportunity: AI can optimize energy efficiency program delivery by predicting participant drop-off, personalizing retrofit recommendations, and automating measurement & verification to dramatically reduce costs and improve savings.
Top use cases
- Predictive Participant Targeting — ML models analyze demographic & utility data to identify households/businesses most likely to enroll and complete effici…
- Automated M&V (Measurement & Verification) — AI analyzes pre/post-retrofit energy consumption data, automating savings calculations and report generation for utility…
- Personalized Retrofit Recommendations — Generative AI assesses home/building characteristics and local incentives to generate customized, step-by-step upgrade p…
deloitte digital
Stage: Advanced
Key opportunity: Deploying proprietary AI agents and co-pilots to automate and enhance core consulting workflows—from client data analysis to strategy generation—dramatically increasing consultant productivity and service delivery speed.
Top use cases
- AI-Powered Market Analysis — Automated ingestion and synthesis of market reports, earnings calls, and news to generate real-time, client-specific ind…
- Consultant Co-pilot — Internal AI assistant for drafting proposals, creating presentation decks, and summarizing research, reducing non-billab…
- Intelligent Process Automation — AI-driven automation of complex, document-heavy back-office and client delivery processes, such as contract review and c…
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