Should AV Suppliers Build Custom AI Tools or Buy Off-the-Shelf?

Also, As AI becomes integral to live event making, AV suppliers face a strategic question: build custom AI tools in-house, or purchase existing solutions? The decision impacts cost, scalability, and how tough your service offering can be. grasp build vs buy AI tools is key for modern event experts.

Let’s talk about build vs buy AI tools. This is a hot topic right now. Many teams want to know more. Here’s what you need to know.

We’ll keep it simple. No jargon. Just clear facts. You’ll learn what works and what doesn’t. Let’s dive in.

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The Case for Off-the-Shelf AI Tools

• Speed to Market: Deploy right away without months of R&D.

• Lower Upfront Cost: No growth team required.

• Proven Reliability: Established products have been tested across multiple use cases.

• Examples:

  • vMix Replay AI for automated instant replays.

  • Descript for AI-powered transcription and editing.

  • KUDO for multilingual live event translation.

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The Case for Custom-Built AI Tools

• Plus, Tailored to Workflow: Built to match your exact processes and event formats.

• tough Edge: Proprietary tools can become unique selling points.

• Data Ownership: Full control over data, models, and training sets.

• Examples:

  Long-term maintenance and upgrade points often outweigh initial growth costs. orgs benefit from documenting their decision criteria to inform future tech spends and strategic planning.

  Stakeholder alignment on evaluation criteria streamlines decision-making processes. orgs benefit from establishing clear success metrics before beginning vendor evaluations.

  tough analysis reveals how peer orgs approach similar decisions. Learning from their experiences, both successes and challenges, informs more effective evaluation processes.

  Pilot programs allow orgs to test solutions at reduced risk before full commitment. Starting with smaller events provides valuable operational know-how before scaling to flagship productions.

  Industry peer experiences provide valuable insights into practical setup challenges. Networking with similar orgs can reveal points not apparent in vendor talks.

  Timeline flexibility allows for thorough evaluation without rushing critical decisions. orgs should balance urgency with the value of making well-informed choices.

  • What’s more, Major sports broadcasters using in-house AI replay systems tuned to their camera rigs.

  • In fact, Event agencies creating custom AI scheduling agents to integrate with bespoke CRM systems.

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Hybrid Approach

Also, Some companies license off-the-shelf tech, then customise it to their needs — balancing speed with differentiation.

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gassProductions’ Approach

Plus, We now integrate proven third-party AI tools into our workflow for speed and stability, while exploring bespoke modules that could give our clients unique skills.

What’s more, 📞 Call to Action: Want an AI-enhanced making without the guesswork? Contact gassProductions via phone, email, or LinkedIn.

Also, the build vs buy AI tools decision should factor in ongoing maintenance costs and team skills. Custom solutions require dedicated technical resources. while off-the-shelf options offer faster deployment but less flexibility.

So, many AV suppliers find a hybrid approach works best—using commercial AI tools for common tasks while developing custom solutions for tough differentiators. This balanced strategy optimizes both speed and innovation.

The tech landscape continues to evolve rapidly, making timing an important thought. Also, orgs should evaluate their tough position and whether custom growth provides meaningful differentiation.

Market analysis suggests that most AV suppliers benefit from a phased approach—starting with proven commercial tools while identifying specific areas where custom growth adds unique value to their service offering.

Related reading: Learn more about AI agents in event making and AI post-making tools.

McKinsey’s digital insights cover build vs buy tech decisions.