Building Agentic AI workflows for a leading car rental and fleet operator

Case study | 3 mins read

Building Agentic AI workflows for a leading car rental and fleet operator

A leading car rental and fleet operator collaborated with eClerx to deploy agentic AI automation across three high-volume operational workflows, boosting SMB lead qualification from 50% to 72%.

Managing over 7,000 SMB leads and 800+ contracts every month across 10+ platforms, the operator needed a way to scale accuracy and speed across lead validation, agreement processing, and contract digitization, without proportionally scaling headcount. They partnered with eClerx for AI-powered workflow automation and intelligent document processing.

The challenge

The operator’s growth had outpaced its manual processes across three distinct but connected workflows:

  • SMB lead validation required reviewing over 7,000 leads per month across 50+ sites, creating a persistent manual bottleneck that limited how quickly qualified leads reached the sales team.
  • The internal team was fielding 45+ types of agreement-update requests spread across 10+ siloed platforms, making consistent classification and processing difficult.
  • On the contracts side, the team was manually reviewing 800+ rental agreements per month, each with 250+ fields to extract and validate, a slow, error-prone process that strained SLAs during peak periods.

Our strategy

eClerx deployed Agentic AI automation across all three workflows, tailoring the approach to each use case:

  • Agentic lead qualification automation or SMB lead validation: Agents validate, enrich, and capture evidence for inbound leads, scoring each one directly into the CRM to eliminate manual triage
  • Agentic agreement updates: Agents classify incoming requests, navigate across 10+ siloed systems, and sync updates with a full audit trail for traceability
  • AI contract automation: Agents intake contracts, extract 250+ fields, validate the data, and apply templating to standardize output

All three of these use cases run on a shared orchestration layer, with supporting tools including Lead Manager (an in-house lead intelligence platform), DocIntel for intelligent document processing, UiPath for workflow execution, and AI-powered workflow automation across the client’s CRM, CAPP, ERAC, and 10+ rental platforms.

The result

Agentic AI automation now runs across all three workflows, delivering measurable gains in speed, accuracy, and SLA performance at scale.

  • Lead qualification rate improved from 50% to 72%, with requalification dropping from 7% to 1%
  • >99% accuracy on agreement updates across all 45+ request types, with SLA held even at scale
  • 51% faster contract processing, cutting average handling time from 45 to 22 minutes
  • 100% SLA adherence maintained even during peak volume
  • 3 agentic use cases now live in production across the operator’s lead, agreement, and contract workflows

How eClerx can help

This AI workflow automation approach was led by eClerx’s RoboWorx CogniFlows team. If you’re looking to scale high-volume lead, agreement, or contract workflows with agentic AI solutions or intelligent document processing, without adding proportional headcount, contact us to learn how a similar approach could work for you.

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