How SoftCo Compressed Roadmap Delivery from 4 Months to 30 Days

Client

SoftCo is a Dublin-headquartered fintech company providing financial process automation software, including procure-to-pay, accounts payable, vendor and contract management, and payments, to organisations worldwide, with teams building both an established product suite and a new AI-enabled platform.

About

Industry

Software / Fintech

Company size

11-50

Client Market

Global

Location

Dublin, Ireland

Services Offered

Challenge

Using AI tools without explicit structure

SoftCo's engineers were already using a variety of AI tools informally, without explicit structure or shared guidelines for how AI fit into everyday development work.

SoftCo’s core goals were accelerating development velocity by embedding AI meaningfully into existing SDLC workflows, and refactoring legacy code to be AI-native without disrupting ongoing projects.

Solution

A focused, practical introduction to Claude Code for SoftCo's engineers

SoftCo engineers worked hands-on with Claude Code on a real backlog item

Zartis kicked things off with a hands-on workshop in late 2025, a focused, practical introduction to Claude Code, powered by Anthropic, for SoftCo’s engineers on a real backlog item. Embedded NeXtgineers from Zartis integrated directly into SoftCo teams post-workshop, accelerating and ensuring continuity of Claude Code adoption across the organisation.

NeXtgineers integrated directly into SoftCo’s established product teams

Several NeXtgineers are integrated directly into SoftCo’s established product teams, delivering live roadmap features and modernising a large, long-lived codebase. Claude Code is used throughout: writing and refactoring code, accelerating integration work, for example supplier-onboarding and document-capture services, and increasingly for the analysis and documentation of complex legacy systems, so hard-won domain knowledge is captured rather than lost.

A second group building a new shared platform from the ground up

A second group is building a new shared platform and a set of AI-enabled products from the ground up, applying an AI-in-the-loop approach across the full lifecycle, from product thinking and refinement through to QA and engineering. The team has developed and published reusable Claude Code plugins and shared context standards, so AI usage stays consistent and repeatable and improves as the codebase grows rather than fragmenting across individuals.

The Zartis Approach

What we delivered

Hands-on workshop

Given our existing relationship with SoftCo, we kicked things off with a hands-on workshop in late 2025.

Challenge: Engineers were using a variety of AI tools informally without explicit structure or guidelines.

Solution: A focused 2-day onsite workshop where SoftCo engineers worked hands-on with Claude Code on a real backlog item.

Embedded delivery in existing product teams

The combination of deep Claude Code expertise, structured engagement methodology, and embedded senior engineers working directly in client teams is what transformed Claude from an interesting tool into a reliable part of the development workflow.

Challenge: Refactoring legacy code to be AI-native without disrupting ongoing projects.

Solution: Several NeXtgineers integrated directly into SoftCo’s established product teams.

Greenfield platform and new AI-enabled products

At the time of workshops, several of these workstreams were only a few weeks old, so the focus became establishing strong foundations and AI-native standards ahead of the next wave of measurable results.

Solution: A second group is building a new shared platform and a set of AI-enabled products from the ground up.

"Zartis has been instrumental in enabling our team and scaling AI-native capability across our engineering organisation."

"Building on a partnership that goes back years, a hands-on workshop and the AI-focused development collaboration that followed helped extend our AI-native SDLC practices further - delivering strong results, including a 3x increase in development velocity and roadmap delivery compressed from four months to just 30 days."