Build, Buy, or Integrate: Choosing the Right AI Approach for Direct Sourcing and Procurement

AI has lowered the barrier to building software. With modern tools and vibe-coding, an in-house team can stand up procurement automation solutions more easily than before. For manufacturers under pressure to move faster on direct sourcing, that’s a tempting path. But the build decision is rarely priced correctly. Most teams can estimate what it costs to ship version one. Far fewer can quantify the costs to maintain, secure, and evolve that software over the next few years, or the cost to the business when the person who built it leaves.

‍

This conversation brings together leaders who have faced the build, buy, or integrate decision inside real manufacturing organizations.

Amit Patel, Strategic Sourcing Leader at a leading Silicon Valley Tech firm, and Timothy Riordan, Supply Chain Leader for WIKA North America, join Sustainment for a candid discussion moderated by Joseph Kopser.

They cover how the industry’s best teams are applying technology to direct sourcing and procurement workflows, where building in-house makes sense, where it quietly becomes a liability, and how to choose the approach that fits your team’s size, talent, and risk tolerance.

What you will take away:

  • A practical framework for deciding when to build, when to buy, and when to integrate
  • The hidden costs of in-house software that rarely show up in the initial business case, including maintenance, security, and key-person risk
  • Where AI is delivering real results in direct sourcing and procurement workflows today, and where the hype outruns the reality
  • How leaders at Tesla and WIKA evaluate technology decisions for their sourcing teams
  • Questions to pressure-test any AI initiative before committing budget and headcount