.svg)
AI-Native Workflows Cut Paciolan’s Modernization Timelines by 30%+
Paciolan, a market-leading ticketing provider, partnered with FullStack to embed agentic, AI-native workflows into a core modernization program, scaling AI across its engineering organization in under four months.
30%+
reduction in modernization timelines
<5 weeks
avg. delivery for complex modernization processes
<4 months
to scale AI across engineering
Opportunity
Paciolan sought to modernize its industry-leading ticketing platform to bring more value and stability to clients and stakeholders. Traditional approaches, however, couldn’t hit the desired modernization timelines while mitigating delivery risk and customer disruption.
In tandem, the company had also initiated a process to modernize and migrate both an e-commerce application and a complex, third-party solution with roughly 250 interdependent screens.
To accelerate all three modernization initiatives, the client chose to pursue AI-native workflows that could safely speed up modernization at scale.
Solution
Paciolan partnered with FullStack to embed agentic, AI-native workflows into the modernization process. Together, they first pivoted from incremental feature innovation to porting existing functionality into a new React and Node.js UI and architecture, prioritizing safe migration over redesign.
In the first 15 days, the team ran a proof-of-value project, minding tight guardrails until outputs met production standards. Once refined, the Claude and Claude Code–powered workflow allowed agents to:
- Propose modern React UIs based on legacy logic.
- Handle boilerplate API wiring, with engineers focused on correctness and edge cases.
- Generate business-level documentation and analysis alongside the code.
During the proof-of-value phase, the joint team modernized 20 representative screens in under two weeks, beating the original four-week estimate. Paciolan then extended the same framework to its e-commerce modernization, where teams are already moving 1.5x faster.
“We’re now using AI to free our engineers for quality and complex problem-solving. Speed is the byproduct; the real value is better software and better use of our people.”
Raj Tatta, Sr VP of Software Engineering, Paciolan
Outcomes
30%+ faster modernization, in 3–5 week delivery windows
AI-native workflows cut key modernization efforts by more than 30%, with low-complexity flows completed in about three weeks and higher-complexity journeys in roughly five.
<4 months to scale AI across engineering
FullStack and Paciolan co-developed patterns and introduced AI-native workflows in late Q4 2025. By March 2026, Paciolan’s full engineering team was using the frameworks, with chief product and technology officer Keith White’s sponsorship helping catalyze adoption across the organization.
De-risked modernization and business continuity
AI-assisted migration gave Paciolan a safer path to modernize a complex legacy codebase, turning a high-risk system into an incremental React microservices rollout.
Improved quality and better use of talent
Agents handle repetitive coding, freeing engineers to focus on architecture, quality, and business logic. The result is better software, stronger documentation, and more effective use of expert time.
Stronger revenue and brand position
Delivering this modernization on schedule and at high quality strengthens Paciolan’s standing with its clients, opening the door to deeper engagements and accelerating future improvements.