ACCELERATING AUTOMOTIVE OEM INTEGRATION READINESS FROM 14 DAYS TO 15 MINUTES

Technical refinement cycles were reduced from 14 days to 15 minutes, epic analysis from 14 days to 9 minutes, and knowledge-base creation from two months to just 2.5 hours.

INTRODUCTION

As organizations expand their partner ecosystems, the ability to onboard and certify integrations quickly becomes a competitive advantage. Yet for many companies, critical knowledge remains buried in fragmented documentation, making integration programs slow, costly, and difficult to scale.

A leading automotive technology provider faced this challenge while preparing to support a growing roadmap of Original Equipment Manufacturer (OEM) integrations. Each certification required teams to analyze large volumes of technical documentation, validate requirements, identify gaps, and translate complex specifications into implementation-ready work—a process that often took days or even weeks before development could begin.

To accelerate delivery and reduce the effort required to operationalize OEM knowledge, the organization partnered with CI&T to rethink how documentation could be transformed into engineering assets.

Leveraging Powered by CI&T Flow and the Agentic Bus, the teams created an agentic knowledge pipeline capable of converting fragmented documentation into a trusted source of truth. By automating analysis, enrichment, and technical refinement activities, the solution dramatically accelerated integration readiness and enabled teams to move from knowledge discovery to implementation planning in minutes rather than days.

The result was a transformation that reduced technical refinement cycles from 14 days to 15 minutes and established a scalable foundation for future OEM integrations.

THE CHALLENGE

Scaling OEM Integrations

The organization needed to build and certify more than twenty OEM integrations within an aggressive delivery timeline.

Each integration required extensive analysis of vendor-specific documentation, certification requirements, and technical specifications before development could begin.

Knowledge Was Scattered Across Sources

Information and activities were distributed throughout the delivery process, making it more difficult to maintain a connected view of work across the software development lifecycle.

Manual Discovery Slowed Delivery

Engineering teams spent significant time reading documentation, validating assumptions, and preparing technical refinements before implementation could start.

As the number of integrations increased, this approach became increasingly difficult to scale.

THE SOLUTION

CI&T designed an end-to-end agentic framework focused on transforming documentation into implementation-ready knowledge.

Building an Agent-Ready Knowledge Base

The first step was creating a structured knowledge pipeline capable of ingesting, validating, and consolidating OEM documentation into a trusted source of truth.
Specialized AI agents analyzed documentation, identified inconsistencies, and highlighted gaps requiring clarification, dramatically reducing the effort needed to understand each integration.

Automated Epic and Requirement Analysis

Using the knowledge base as context, AI agents reviewed business epics and technical requirements, enriching them with OEM-specific information and identifying missing details before development started.

This improved planning quality and reduced downstream rework.

Implementation-Ready Technical Refinement

By combining the knowledge base with engineering context, the solution generated detailed technical refinements and development-ready specifications.

Stories that previously required extensive manual preparation could now be transformed into actionable implementation plans in minutes.

THE IMPACT

The initiative significantly reduced the effort required to onboard and prepare OEM integrations.

KNOWLEDGE BASE GENERATION

A process that traditionally required months of manual effort was accelerated through agentic automation.

Knowledge consolidation reduced from approximately two months to 2.5 hours in the best-performing scenario

EPIC ANALYSIS AND REVISION

AI agents autonomously reviewed and enriched integration requirements.

Activities that previously required 14 days of manual effort were completed in approximately nine minutes

TECHNICAL REFINEMENT

Development-ready specifications were generated directly from OEM documentation and engineering context.

Refinement activities that once took 14 days were completed in approximately 15 minutes

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow Enterprise AI Management System that enables intelligent automation across software delivery workflows, accelerating refinement, development, and overall engineering productivity.

AGENTIC BUS

An orchestration layer that enables specialized AI agents to collaborate, share context, and execute workflows across the software development lifecycle.

SPECIALIZED AI AGENTS

Purpose-built AI agents designed to analyze documentation, identify knowledge gaps, enrich requirements, generate technical refinements, and support implementation planning activities.

AGENTIC KNOWLEDGE PIPELINE

A framework designed to ingest, validate, enrich, and operationalize complex OEM documentation, transforming static information into actionable engineering knowledge.