The
Overview
A FinTech company was struggling with slow, risky releases. Wishtree stepped in to modernize their CI/CD pipelines – implementing AI-augmented test automation, secure deployment flows, and agile delivery governance.
Problem
Statement
Features took too long to reach customers, bugs eroded trust, and the engineering team spent more time on release logistics than building value.
Highlights
AI
Augmented test pipelines
CI/cd
Secure flows
10→3
Days release time
45%
Fewer post-deployment bugs
99.9%
Uptime maintained
Faster, safer releases
Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.
About Client
A FinTech company handling sensitive financial transactions for thousands of customers. Their release process was slow and painful. Each deployment took 10 days of manual testing and coordination.
- Each release took 10 days from code commit to production.
- Bugs regularly reached production despite lengthy manual testing cycles.
- Manual testing was slow, inconsistent, and missed edge cases.
- Security concerns made teams hesitant to automate.
- Maintaining 99.9% uptime during deployments was increasingly difficult.
- Implemented AI-augmented test pipelines that automatically generate and run thousands of test cases based on code changes.
- Designed secure CI/CD flows with automated security scanning, dependency checks, and compliance gates built in.
- Established agile delivery governance with clear stage gates, automated approvals, and rollback capabilities.
- Shifted from manual regression testing to automated test suites that run in minutes.
- Built canary deployment strategies that gradually roll out changes, catching issues before full exposure.
- Integrated comprehensive observability to detect and roll back issues automatically before customers are impacted.
- Trained the team on modern DevOps practices.
- AI test generators analyze code changes and automatically create relevant test cases, covering edge cases humans might miss.
- Test suites are prioritized by risk where AI identifies which tests are most likely to catch bugs and runs them first.
- Anomaly detection monitors production during canary deployments, automatically rolling back if error rates spike.
- Over time, the AI learns which types of changes cause issues, continuously improving test coverage and deployment safety.
Core Features
Canary deployments
Agile delivery governance
Comprehensive observability
Self-service deployments
Post-deployment bug tracking
Impact
- 70% faster time to market
- 45% reduction in post-deployment bugs
- 99.9% uptime maintained during all releases
- Manual testing effort reduced by 80%
- Engineer burnout eliminated
- Security vulnerabilities addressed
- Customer trust strengthened
Why Wishtree
Wishtree modernizes CI/CD pipelines for regulated industries where speed and safety must coexist.
For this FinTech client, we:
- Cut release time by 70% while maintaining 99.9% uptime
- Reduced post-deployment bugs by 45% with AI-augmented testing
- Eliminated late-night releases through automated canary deployments