Law · Finance · Real Estate · Private Practice

Meru AI

AI consulting and implementation for serious operators. We find the workflow your business turns around. Then we build the intelligence layer around it.

Selected Case Studies

Case Studies

Engagements that demonstrate our methodology. Quiet victories. Definitive results.

Case Study
/Mid-Market AI

BloomChat: Account Intelligence

An AI-on-enterprise platform built with a managed services provider and expanded into client environments across mid-market companies in LA, Orange County, and beyond.

BloomChat: Account Intelligence
1,000+
Automation Scale
200+
Client Network
Dozens
Industries

Performance Benchmarks

  • Built with an MSP to sell and deploy AI into client companies
  • 1,000+ automations supported across onboarded client use cases
  • Executives gained workflow visibility across reports, proposals, and account context
  • Established Meru's implementation pattern for practical mid-market AI

Architectural Stack

MongoDB Vector SearchGemini 2.5 ProMicrosoft Graph APINode.jsAWS
Case Study
/Sales Operations

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.

Sales Intake Intelligence
40 to 15 min
Discovery Time
9% to 14%
Consult Conversion
90 to 120/day
Answered Volume

Performance Benchmarks

  • 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

Architectural Stack

Gemini FlashFastAPICRM IntegrationAudio Transcription
Case Study
/Recommendation Systems

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.

Curate: Preference Intelligence
Feedback-aware
Preference Model
Profile + feedback
Signal Coverage
Human-in-loop
Decision Support

Performance Benchmarks

  • 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

Architectural Stack

PyTorchFaceNetLlama 3MongoDB Vector SearchFastAPI

Sector Intelligence

Industry Insights

A considered view into how intelligent systems are reshaping professional services.

Healthcare

The Architecture of Patient Care

Intelligent systems that support clinical judgment. Technology that respects the human element.

efficiency
43% reduction in diagnostic time
accuracy
92% improvement in early detection
cost
35% decrease in operational costs

Core Insights

  • Predictive intelligence for patient outcomes
  • Operational refinement through automation
  • Diagnostic support systems
Manufacturing

Industrial Intelligence

Precision systems for quality assurance. Predictive architecture for maintenance and supply chain.

productivity
58% increase in production efficiency
defects
76% reduction in quality issues
maintenance
49% decrease in downtime

Core Insights

  • Quality control with precision
  • Predictive maintenance systems
  • Supply chain intelligence
Financial Services

Financial Architecture

Risk assessment refined. Fraud detection with conviction. Banking that understands.

fraud
91% fraud detection rate
efficiency
67% faster loan processing
satisfaction
45% increase in client satisfaction

Core Insights

  • Fraud detection with precision
  • Automated risk architecture
  • Personalized client experience

Begin

Build around the operating center

Bring the workflow, decision, record, or repeated friction your team is carrying. Meru helps determine where AI belongs and what should be measured first.