Selected Case Studies
Architectural Records
The documented history of our craftsmanship. Each project represents a definitive victory over operational noise.

BloomChat: AI-on-enterprise platform
Built with an IT managed services provider and expanded into client environments, BloomChat turned scattered account context into a repeatable AI implementation platform for mid-market companies.
Architectural Deliverables
- Built with an MSP serving companies across LA, Orange County, and out-of-state markets
- Expanded into onboarded client environments across dozens of industries
- Supported 1,000+ automations for reporting, proposals, lookup, intake, and follow-up
- Gave executives workflow visibility across reports, proposals, and account context

Curate: Preference Intelligence
A matchmaking platform rebuilt around feedback-aware recommendations, helping human teams learn from subjective preference instead of freezing it into static filters.
Architectural Deliverables
- Turned post-match feedback into structured preference updates
- Combined profile context, conversational notes, visual signals, and match outcomes
- Supported human matchmakers instead of replacing sensitive judgment
- Created a reusable pattern for any high-nuance recommendation product

eDaters: Technical Stewardship
A gaming social platform moved from fragile prototype risk toward a managed product foundation, connecting database modernization, cloud deployment, and monetization mechanics.
Architectural Deliverables
- Moved the product away from brittle local database assumptions
- Created a more maintainable production environment and deployment path
- Reduced dependency on a single departed technical owner
- Connected premium actions to product logic through tokens, VIP status, and visibility mechanics

Sales Intake Intelligence
A law firm sales and intake team turned scattered lead context into prepared conversations, shorter discovery calls, and stronger conversion from paid demand.
Architectural Deliverables
- Prepared reps with lead source, intake answers, and CRM context before calls
- Reduced repeated discovery by separating known facts from true qualification gaps
- Improved manager visibility into call patterns, objections, and missed follow-up
- Created a reusable pattern for any team converting marketing demand into sales conversations

Enterprise Legal AI Architecture
A personal injury law firm unified marketing attribution, telecom routing, intake, operations, finance, and AI workflows into one operating layer during a $70M to $250M scale-up.
Architectural Deliverables
- Reduced 1,000+ Zapier automations to 7 while migrating infrastructure to AWS
- Piped verified signed-contract data back to Google Ads, Meta, TikTok, CTV, and other platforms
- Reduced client cancellations by 94%, protecting $25M+ in annual revenue
- Eliminated 250,000 manual hours annually and reached measured adoption across 350+ employees
California Crash Intelligence
A production data product that turns changing California crash records into a traceable, location-level map for legal, growth, and operating teams.
Architectural Deliverables
- Preserved public source fields and revision history for audit and backfill
- Standardized severity, vehicle, city, and road labels through versioned rules
- Resolved records against ZCTA boundaries and OpenStreetMap road references
- Prepared BigQuery marts for maps, trends, vehicle signals, and market review
Creative Sprint: The Marketing Velocity Engine
A marketing team spent 3 weeks debating every ad creative. We built a Creative Sprint pipeline that democratized asset generation, connected directly to ad platforms, and compressed the concept-to-launch cycle from 1 month to 1 week.
Architectural Deliverables
- 100 campaigns launched in 30 days, 2 went viral
- Failed tests killed within 24 hours, minimal spend wasted
- Every team member empowered to generate full campaign concepts
- Real-time analytics loop from ad platforms back to the tool
Implementation guidance
Want the strategy behind the systems?
The Guides hub explains how Meru evaluates AI opportunities, builds around business context, and turns case study proof into implementation decisions.
Read the Guides