Every engagement is different. But the way we approach the work is consistent – understand the real problem first, deliver in working increments, and never let the business stop while we build.
Understand Before We Build
We do not start with assumptions. Every engagement begins with understanding what actually exists – the code, the data, the infrastructure, the people, and the processes. Not what the documentation says. Not what the last team assumed. What is really there. This discovery work is what separates a successful modernization from another failed attempt.
Deliver in Working Increments
We work in sprints, delivering working software and demonstrating progress on real data – not slideware. Each sprint is scoped, built, tested, and demonstrated. You see what we are building as we build it, and we adjust as the picture becomes clearer. This is how we iteratively replaced a platform last updated in 1997 without disrupting operations.
Migrate Data as We Build
Legacy modernization projects that wait until the end to migrate data will likely fail. The data always holds challenges – inconsistent records, undocumented relationships, silent corruption, and dependencies that nobody remembers exist. Discovering these problems at the end of a project is how deadlines get blown and launches get delayed.
We do not leave data migration to the end and hope for the best. Data is migrated incrementally, sprint by sprint, alongside the development work. Every sprint is tested and demonstrated on migrated production-representative data – not test data, not dummy records, real data from the actual legacy system.
Migration issues surface early when they are cheaper to fix, not at the end when the deadline is tomorrow. By the time the system goes live, the data has already been validated dozens of times across dozens of sprints.
Own the Full Stack
We do not hand off infrastructure problems to another team. LegacyX operates across software, infrastructure, data, and production operations – including environments where uptime, security, and data residency are non-negotiable. When we deliver a system, we can also run it.
Preserve Knowledge as We Go
Modernization projects generate enormous amounts of institutional knowledge – and most of it gets lost. We use Larry, our AI knowledge management platform, to capture knowledge from subject matter experts during the engagement, generate documentation as the new system takes shape, and ensure the incoming team has grounded, contextual answers about a system they did not build.
Support Your Users From Day One
Most modernization projects launch and then scramble to train users. With Larry, user documentation is created as part of the development process – not as an afterthought. When the new system goes live, your users have direct access to grounded, step-by-step guidance built from the actual knowledge captured during the engagement.
No manuals. No guessing. Users ask questions in plain language and get answers that show them how to get the job done. When they need more help, Larry creates detailed, context-rich support tickets so your team can respond without the usual back-and-forth to understand the problem.
Your users get self-service access to the knowledge behind the system they are using – and your support team gets tickets that actually make sense.
TESTIMONIALS
Our clients consider us a partner who helps them imagine and realize a better, more efficient version of their business today and for the future.
LegacyX has provided a solution to whatever problems we have brought to them. They answer the phone if you have issues and fix them real time. You won’t be disappointed.
Anthony Noseworthy, Assistant Business Manager, IUOE Local 955
Our company has been using LegacyX for a while now. They have always been there when we needed them. Most recently we had a virtual conference. Darrin and his team stepped up for us and made sure it ran without a hitch. Can’t thank them enough.
Krisanne, Building Trades of Alberta Training Society (BTATS)