[CASE_118]

Autonomous Internal Policy Retrieval Agent

Secure enterprise data vault representing air-gapped compliance infrastructure and internal AI policy retrieval systems.

INDUSTRY

FINTECH COMPLIANCE

MODELS

CLAUDE 3.5 SONNET + SUPABASE PGVECTOR

TIMELINE

18 DAYS

STATUS

OPERATIONAL — FULL DEPLOYMENT

73%

TICKET VOLUME REDUCTION

Deployed a secure, internal RAG architecture for a 400-employee fintech firm, eliminating manual HR and IT policy inquiries.

The Baseline Inefficiency

A growing 400-employee fintech firm was overwhelming its 3-person HR and IT departments with repetitive internal queries regarding compliance protocols, PTO policies, and software provisioning. HR staff were spending roughly 22 hours a week manually answering Slack messages with links to existing Notion documents, causing severe operational drag.

The Architectural Solution

We mapped their entire internal Notion workspace to a Supabase pgvector database, deploying an internal Slack bot orchestrated by LangGraph. When an employee asks a question, the agent retrieves the exact compliance protocol, synthesizes it, and cites the original internal document. The system is air-gapped from external data to ensure strict SOC2 compliance.

The Fiscal Outcome

The internal agent intercepted and autonomously resolved 73% of all tier-one HR and IT queries within the first 30 days. The HR department recovered 22 hours of manual labor per week, entirely eliminating the need for a projected Q4 HR administrative hire.

Quantifiable Outcomes

MANUAL HOURS RECOVERED

22H/WK

Weekly time saved for the internal HR/IT team.

MANUAL HOURS RECOVERED

22H/WK

Weekly time saved for the internal HR/IT team.

RESOLUTION LATENCY

<4 SECONDS

Average time to retrieve and synthesize internal protocols.

RESOLUTION LATENCY

<4 SECONDS

Average time to retrieve and synthesize internal protocols.

RESOLUTION LATENCY

<4 SECONDS

Average time to retrieve and synthesize internal protocols.

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_094

94.2% FALSE-QUALIFICATION DROP

CRM Orchestration & Inbound Sales Automation

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

INDUSTRY

B2B SAAS

TIMELINE

14 DAYS

MODELS

GPT-4o + MAKE.COM

STATUS

OPERATIONAL — FULL DEPLOYMENT

CASE_094

94.2% FALSE-QUALIFICATION DROP

CRM Orchestration & Inbound Sales Automation

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

INDUSTRY

B2B SAAS

TIMELINE

14 DAYS

MODELS

GPT-4o + MAKE.COM

STATUS

OPERATIONAL — FULL DEPLOYMENT

CASE_094

94.2% FALSE-QUALIFICATION DROP

CRM Orchestration & Inbound Sales Automation

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

INDUSTRY

B2B SAAS

TIMELINE

14 DAYS

MODELS

GPT-4o + MAKE.COM

STATUS

OPERATIONAL — FULL DEPLOYMENT

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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