How AI Changes IT Timelines & Project Estimates
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Legacy Software Modernization 
Igor Omelianchuk
Tech & R&D Expert, CEO Corsac Technologies
Yuriy Diachenko
CEO at MIF Projects, Technical leadership
about the event
Today, tech leaders use AI to estimate the work. The speakers will unpack how models analyze historical data, predict hidden technical debt, and calculate realistic delivery windows. Look at the actual numbers. They will dissect real cases from their pipelines. You walk away with a hard framework to recalculate budgets and set deadlines that hold up in the real world.
This session exposes
why AI accelerates code generation but still derails project timelines.
You walk away with
a hard framework to recalculate budgets and set deadlines that hold up in the real world.
Key points we’ll cover
– How to update traditional estimation models for AI-driven development.
– Specific project phases that take longer when engineers rely on AI.
– Hidden costs of refactoring and integration.
– Frameworks for strict budgets and deadlines.
– How AI breaks production estimates.
Who should attend
– Founders, CTOs, and tech leaders.
– Product and Engineering managers handling AI-assisted teams.
– Delivery and R&D Managers focused on prototyping, legacy modernization, or core product development.
About speakers
Technical & Financial Advisor. Helps clients calculate the true scope and hidden costs of complex modernization projects.
CEO at MIF Projects, Technical leadership. Manages engineering teams through modern tech transitions with 15+ years of experience.
Modernizing the past. Empowering the future.
Let us help you rebuild what’s holding you back.
Connect with ExpertsPast webinars
Browse recordings from past sessions on modernization, AI, and product strategy.
Watch in full or skip to the parts that matter to you.
Construction Industry Transformation: From Legacy to Modern Software
Duration: 56m
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AI in Healthcare: Real-World Case of Implementation and the Barriers Behind
Duration: 32 m
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Refactoring vs Reengineering vs Rebuilding: What’s Best for Your Software?
Duration: 42 m
Watch recording //Start today!
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