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Industry case studies

AI transformation examples by workflow.

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.

Real estate brokerage

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.

40%less agent admin 30%more deals per agent
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Automotive dealership group

Three dealerships, one AI brain.

A multi-store auto group connected sales, inventory, service, F&I, and management visibility across three rooftops.

26%higher conversion 50%less manual admin
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Healthcare operations

Five specialties, one AI platform.

A multi-specialty healthcare group unified scheduling, referral routing, billing, documentation, and group-level visibility.

27%higher case acceptance 15%fewer no-shows
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Legal services

A civil litigation firm cuts research time by 100x.

Legal research, document review, drafting, and matter management moved from blank-page work to supervised AI case intelligence.

100xcomplaint-response productivity 70%less document review time
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Accounting and audit

An audit firm closes the books in days, not weeks.

Workpapers, evidence collection, reconciliation, transaction testing, and close workflows shifted toward AI-powered assurance.

5xreconciliation productivity 30%+margin uplift
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Government HR

A municipal township eliminates paper-based HR.

Onboarding, employee changes, data entry, error detection, and document flow moved from paper to a digital AI-assisted process.

75%less manual data entry $18K+annual savings
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These pages are confidential or representative summaries. They are meant to show workflow patterns and decision criteria, not guaranteed outcomes.

See where your workflow fits.

Start with the top-priority AI decision, then decide whether to build, buy, block, simplify, or pilot.