A 25-agent brokerage goes from paper to AI-native.
Lead response, listing copy, transaction milestones, marketing, and broker visibility moved from manual work to an AI-supported operating layer.
Industry case studies
These confidential or representative summaries show the kinds of problems TAG evaluates before a company spends serious money on AI tools, agents, vendors, or automation.
Lead response, listing copy, transaction milestones, marketing, and broker visibility moved from manual work to an AI-supported operating layer.
A multi-store auto group connected sales, inventory, service, F&I, and management visibility across three rooftops.
A multi-specialty healthcare group unified scheduling, referral routing, billing, documentation, and group-level visibility.
Legal research, document review, drafting, and matter management moved from blank-page work to supervised AI case intelligence.
Workpapers, evidence collection, reconciliation, transaction testing, and close workflows shifted toward AI-powered assurance.
Onboarding, employee changes, data entry, error detection, and document flow moved from paper to a digital AI-assisted process.
These pages are confidential or representative summaries. They are meant to show workflow patterns and decision criteria, not guaranteed outcomes.
Start with the top-priority AI decision, then decide whether to build, buy, block, simplify, or pilot.