9X FASTER TEST CASE CREATION WITH AN AGENTIC SDLC FOR A LEADING HEALTHCARE TECHNOLOGY COMPANY

An agentic delivery pipeline made business refinement 4x faster and Gherkin test case creation 9x faster, connecting activities from business refinement through UAT-ready delivery with human approval at key stages.

INTRODUCTION

Variable delivery demands can create significant bottlenecks when requirements are not mature enough to move efficiently into development.

A leading healthcare technology company faced this challenge across a 20-site portfolio, where its digital marketing support and maintenance team handled everything from hotfixes to new feature development and rollout. Stories frequently arrived with low maturity, while requirement changes during UAT increased waiting time and contributed to flow efficiency of just 16%.

CI&T implemented an agentic SDLC pipeline to reduce manual handoffs and connect activities from business refinement through development, testing, and UAT readiness.

With specialized AI agents Powered by CI&T Flow, roles across business analysis, technical leadership, development, content, and quality assurance were supported within the same workflow, with human approval gates maintained throughout the process.

Initial results across two stories showed 4x faster business refinement and 9x faster Gherkin test case creation, establishing a foundation for expanding the agentic pipeline to additional use cases.

THE CHALLENGE: TURNING LOW-MATURITY STORIES INTO DELIVERY-READY WORK

Frequent requirement changes and low story maturity created bottlenecks before development, increasing waiting time across a variable delivery scope. With flow efficiency at just 16%, the organization needed a more efficient path from business refinement to implementation.

Low Story Maturity

Stories frequently entered the delivery process without sufficient maturity, creating additional refinement work before development could progress.

Without a dedicated business analyst role, these activities contributed to upstream bottlenecks.

Requirement Changes During UAT

A high volume of requirement changes during user acceptance testing increased waiting time and created additional friction late in the delivery process.

Low Flow Efficiency

The combination of upstream bottlenecks and changes during UAT contributed to a flow efficiency of only 16%, limiting the team's ability to move work efficiently across the lifecycle.

THE SOLUTION

CI&T implemented an agentic SDLC pipeline designed to replace manual handoffs with AI-supported workflows across key delivery roles.
The approach connected activities from business refinement through UAT readiness while maintaining human approval gates at each stage.

AI-Powered Business Refinement

AI agents supported business analysis activities, helping teams prepare stories for development with less waiting for business refinement.
By addressing story maturity earlier, the workflow created a more efficient path into downstream engineering activities.

Connected Development Workflow

AI capabilities supported technical leadership, backend and frontend development, and content management activities within the same delivery pipeline.
Connecting these roles helped reduce manual handoffs and enabled work to progress more consistently across the lifecycle.

AI-Assisted Quality Assurance

AI supported part of the quality assurance process through test scenario creation.
Gherkin test scenarios could be generated and reviewed faster while human approval remained part of the workflow.

THE IMPACT

Initial results across two stories demonstrated significant improvements in refinement and test case preparation.

FASTER BUSINESS REFINEMENT

4x

faster business refinement

Refinement time reduced from 4 hours to 1 hour

Reduced waiting for business refinement through AI-driven upstream workflows

LOWER COST

9x

faster Gherkin test case creation

Creation and review time reduced from 3 hours to 20 minutes

AI supported test scenario preparation as part of the quality assurance process

MORE CONNECTED DELIVERY

AI-supported workflow spanning business refinement through UAT readiness

Reduced reliance on manual handoffs across key delivery roles

Human approval gates maintained at each stage

FOUNDATION FOR FURTHER SCALE

Initial results validated across two stories

Pipeline planned to expand across the full release

Future agents expected to support areas such as bug analysis and triage and automated testing

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow Enterprise AI Management System supported intelligent agents across business refinement, development, content, and quality activities, helping connect workflows and reduce manual handoffs throughout the delivery lifecycle.

AGENTIC SDLC PIPELINE

An AI-assisted delivery pipeline connecting activities from business refinement through UAT readiness while maintaining human approval at key stages.

AI-ASSISTED BUSINESS REFINEMENT

AI capabilities supported upstream refinement activities, helping teams improve story readiness and reduce the time required to prepare requirements for development.

AI-POWERED TEST SCENARIO CREATION

AI supported the creation and review of Gherkin test scenarios, reducing manual effort and accelerating quality assurance activities.