[CASE_094]

CRM Orchestration & Inbound Sales Automation

Macro shot of fiber optic cables and network switches demonstrating high-speed CRM data orchestration and automated sales pipelines.

INDUSTRY

B2B SAAS

MODELS

GPT-4o + MAKE.COM

TIMELINE

14 DAYS

STATUS

OPERATIONAL — FULL DEPLOYMENT

94.2%

FALSE-QUALIFICATION DROP

Engineered a webhook-driven data enrichment pipeline for a mid-market SaaS platform. Eliminated 14 hours of manual SDR data entry per week.

The Baseline Inefficiency

A $45M ARR enterprise software firm generating 2,800 inbound leads weekly was operating with a 78% false-qualification rate. The SDR team was spending an average of 14 hours a week manually copy-pasting lead data from Typeform into Salesforce, resulting in chronic data degradation, delayed follow-ups, and a bloated operational expenditure of $98,000 annually in administrative labor.

The Architectural Solution

We bypassed standard Zapier integrations, mapping a dedicated Make.com enterprise webhook directly into their Salesforce architecture. Inbound leads are instantly routed to OpenAI's GPT-4o, which executes web-scraping to verify company size, tech stack, and intent signals against a predefined scoring matrix. Verified leads are pushed into the CRM with fully synthesized briefing notes, while junk leads are deterministically quarantined.

The Fiscal Outcome

The pipeline eliminated manual lead enrichment entirely. False qualifications dropped by 94.2%. SDRs recovered 14 hours per week, allowing them to shift from data entry to pure outbound closing. The $98,000 manual data entry overhead was entirely recovered.

Quantifiable Outcomes

MANUAL HOURS RECOVERED

14H/WK

Weekly time saved per SDR via automated enrichment.

MANUAL HOURS RECOVERED

14H/WK

Weekly time saved per SDR via automated enrichment.

LABOR ARBITRAGE

$98000

Annualized administrative overhead eliminated.

LABOR ARBITRAGE

$98000

Annualized administrative overhead eliminated.

LABOR ARBITRAGE

$98000

Annualized administrative overhead eliminated.

VERIFIED DEPLOYMENT ARCHIVE

CASE_081

$172,000 ANNUAL OPEX RECOVERED

Autonomous Customer Support Routing & Resolution

Deployed an autonomous RAG support agent for a global e-commerce brand. Replaced three full-time tier-one manual support roles with a deterministic LangGraph pipeline.

INDUSTRY

ENTERPRISE E-COMMERCE

TIMELINE

22 DAYS

MODELS

CLAUDE 3.5 SONNET + PINECONE

STATUS

OPERATIONAL — PHASE II SCALING

CASE_081

$172,000 ANNUAL OPEX RECOVERED

Autonomous Customer Support Routing & Resolution

Deployed an autonomous RAG support agent for a global e-commerce brand. Replaced three full-time tier-one manual support roles with a deterministic LangGraph pipeline.

INDUSTRY

ENTERPRISE E-COMMERCE

TIMELINE

22 DAYS

MODELS

CLAUDE 3.5 SONNET + PINECONE

STATUS

OPERATIONAL — PHASE II SCALING

CASE_081

$172,000 ANNUAL OPEX RECOVERED

Autonomous Customer Support Routing & Resolution

Deployed an autonomous RAG support agent for a global e-commerce brand. Replaced three full-time tier-one manual support roles with a deterministic LangGraph pipeline.

INDUSTRY

ENTERPRISE E-COMMERCE

TIMELINE

22 DAYS

MODELS

CLAUDE 3.5 SONNET + PINECONE

STATUS

OPERATIONAL — PHASE II SCALING

CASE_102

82% INFERENCE COST REDUCTION

Semantic Caching & API Inference Optimization

Audited a bloated internal AI tool for a logistics firm. Instituted a Redis semantic cache layer, driving API costs down by $3,400/month.

INDUSTRY

ENTERPRISE LOGISTICS

TIMELINE

8 DAYS

MODELS

REDIS + VERCEL AI SDK

STATUS

OPERATIONAL — OPTIMIZATION PHASE

CASE_102

82% INFERENCE COST REDUCTION

Semantic Caching & API Inference Optimization

Audited a bloated internal AI tool for a logistics firm. Instituted a Redis semantic cache layer, driving API costs down by $3,400/month.

INDUSTRY

ENTERPRISE LOGISTICS

TIMELINE

8 DAYS

MODELS

REDIS + VERCEL AI SDK

STATUS

OPERATIONAL — OPTIMIZATION PHASE

CASE_102

82% INFERENCE COST REDUCTION

Semantic Caching & API Inference Optimization

Audited a bloated internal AI tool for a logistics firm. Instituted a Redis semantic cache layer, driving API costs down by $3,400/month.

INDUSTRY

ENTERPRISE LOGISTICS

TIMELINE

8 DAYS

MODELS

REDIS + VERCEL AI SDK

STATUS

OPERATIONAL — OPTIMIZATION PHASE

Initiate Mandate Evaluation.

We accept a maximum of four concurrent deployment mandates per quarter. Submit your operational context below for review.

INTAKE PROTOCOL

RESPONSE WINDOW

T+24 HOURS (PRINCIPAL ONLY)

CONFIDENTIALITY

DEFAULT-DENY NDA ENFORCED

TRANSMISSION

E2E ENCRYPTED CHANNEL

INTAKE OPEN — ACCEPTING Q3 MANDATES

ACQUIRE — $149

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