How Datalex Leveraged AI-Native Software Enablement and Development with Claude

Client

Datalex is the digital commerce platform of choice for major airlines worldwide, built over four decades of continuous innovation and powers high-volume, always-on retail operations. Datalex is the digital commerce platform of choice for major airlines worldwide, built over four decades of continuous innovation and powering high-volume, always-on retail operations.

About

Industry

Aviation Software

Client Market

Global

Services Offered

The Task

AI-assisted development should be a normal part of how engineering and business teams work

Datalex’s track record reflects a company that has never stood still. One now applying the same rigour to reinventing how it builds software.

Within 12 to 18 months, AI-assisted development should be a normal part of how engineering and business teams work, not a side experiment. But Datalex’s teams were new to Claude, and the open question was how to get the most out of AI-assisted development on a codebase of this size and complexity.

That gave Datalex a clear requirement: broad, practical enablement across engineering and business functions, tailored to the specific needs and context.

Solution

Enablement at Scale

Zartis, a Preferred Services Partner in the Claude Partner Network, designed an enablement programme built around Datalex’s own use cases.

So that teams across the business could test Claude on real work rather than generic training scenarios.

May to July 2026. Five instructor-led sessions:

What we brought:

Custom Enablement

Our deep expertise in AI enablement and the Claude ecosystem was channeled into building sessions around Datalex's own use cases and context rather than generic training.

Proprietary IP

The Z-Cora Claude Code plugin, with pre-built agents and skills for an AI-native development workflow. It was used during the sessions and retained by Datalex afterwards.

Results

Across the Claude Code and Claude Cowork workshops, the following were the most valuable and impactful outcomes and learnings.

Engineering and Architecture

Our expertise in AI enablement and the Claude ecosystem was channelled into building sessions around Datalex’s own use cases and context rather than generic training.

Solution: Three two-day onsite Claude Code workshops for engineers and architects.

Results:

Datalex's own architects built the Knowledge-Driven Design Architecture: A persistent, shared knowledge graph of the codebase that indexes all repositories, generates per-project CLAUDE.md files, stores everything in a vector database, keeps itself current by monitoring pull requests, and bootstraps complete Confluence design documents from a Jira ticket.

Business, Product, PMO and Finance

Across the two Cowork sessions, participants delivered eleven live demos, with the closing show-and-tell in the second session running over its allotted time because of how engaged participants were.

Solution: Two onsite Claude Cowork workshops for business, product, PMO and finance teams.

Results:

A product team cut a 6-day product-owner story-writing process to half a day, validated against real past epics by the VP of Product's team.
A team built a complete, four-skill meeting-automation workflow end to end in four hours.
Other teams shipped working solutions in-session, including a project health dashboard, automated invoice extraction, an RFP dashboard, and a user-story dependency tracker.
Beyond the individual metrics, Datalex came away with a durable capability to work in an AI-augmented manner.

"AI-augmented development was a decision we had already made, but it wasn't yet how we worked. Within a few months, our teams took a piece of internal technology work that would have taken fifteen days in the past and delivered it in just two."

"What made the difference was Zartis's depth of expertise in AI-native delivery: they didn't just show us a tool, they enabled our teams to work this way for good, and helped us put the right practices and governance in place to use AI responsibly and consistently across the organization. That combination — real enablement alongside real alignment — is what makes this change sustainable, not a one-off result."