On-demand Engineering
Custom Software vs Off-the-Shelf: A CTO's Decision Guide
The average enterprise now runs 200+ SaaS subscriptions — and still builds custom software on top of them. Somewhere between "just buy it" and "just build it," most CTOs are making six- and seven-figure decisions on gut feeling.
This isn't a build-vs-buy checklist. It's the actual scoring framework Litslink uses with clients before recommending either path — including the hybrid option most teams don't consider until it's too late.
If you're facing a decision on a critical system in the next two quarters, this session will save you from the two most expensive mistakes: building what you should have bought, and buying what you should have built.
WEBINAR
Custom Software vs Off-the-Shelf: A CTO's Decision Guide
Registration closes in: 00d 00h 00m 00s
WHY ATTEND
What you get out of this hour
- Scoring rubric The exact build-vs-buy framework used with our clients.
- Three case studies Real client decisions, anonymized with numbers.
- Deck & recording Full deck and recording after the session.
DESCRIPTION
What you'll learn
This session is for founders and CTOs facing a build-vs-buy decision on a critical system. We share the exact scoring rubric Litslink uses with clients, the questions that most often flip a decision, and three anonymized case studies where the obvious answer turned out to be wrong.
Agenda
- Signals it's time to build in-house
- Signals off-the-shelf is fine forever
- The hybrid model most teams underuse
- Total cost of ownership over 5 years
- Live audience Q&A
SPEAKERS
Meet your speakers
Mark Petrenko
Principal Engineer · Litslink
Mark architects custom software platforms with a focus on cloud-native systems, event-driven backends, and developer experience. Over 12 years he has helped 40+ startups go from MVP to Series B, with a soft spot for pragmatic architecture.
Anna Kovalenko
Head of AI · Litslink
Anna leads Litslink's AI practice, delivering production ML systems for fintech, healthcare, and logistics clients across 12 countries. She has guided dozens of teams through build-vs-buy calls on data and ML systems.
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