Build vs Buy AI Agents: Strategic Enterprise Choices

Short answer: Enterprises face a strategic choice between building or buying AI agents. Building offers flexibility and differentiation, ideal for unique workflows. Buying is faster and cost-effective for general needs. A hybrid approach combines both benefits. The decision depends on strategic priorities, focusing on meaningful business outcomes and ROI.

Build vs. Buy: The AI Agent Conundrum

"By 2028, agentic AI will power 33% of enterprise software," Gartner projects. That's a staggering number. It suggests a seismic shift in how enterprises will operate. But here's the kicker: do you build these agents or buy them?

Let's cut to the chase. If you're a financial services firm, healthcare company, or consulting firm where AI is merely a tool, buying is generally faster and cheaper. Bastien Hontebeyrie from CMI Strategies mentions that monthly costs of 30-40 euros per consultant can generate massive time savings. That's ROI that any CFO would love.

The Case for Building: Flexibility and Differentiation

Building your own AI agents offers unparalleled flexibility. It's about creating a system that's uniquely yours. If your aim is enterprise-wide workflows or differentiated business value, building might be your best bet. This gives you the freedom to create agents that not only solve problems but do so in a way that underscores your competitive advantage.

Take, for example, a retail company wanting to create a personalized shopping experience. Off-the-shelf solutions might not capture the unique nuances of their customer base. Building an AI system in-house allows them to tailor every interaction, turning customer data into actionable insights.

The Hybrid Approach: Build + Buy

For those sitting on the fence, a hybrid "build + buy" model offers a middle ground. Buy a basic AI platform and build custom integrations and workflows on top. This approach speeds time-to-value while reducing risk. You get the benefits of a proven system and the flexibility to tailor it to your needs.

Consider a logistics company that buys a generalized AI solution but layers on custom algorithms to optimize routes in real-time. They've essentially built a unique capability on a stable foundation.

Measuring ROI: More Than Just Cost Savings

In 2026, companies that see the most significant ROI from AI agents will measure value not in reduced headcount but in new revenue streams and resilience. It's not just about cutting costs or improving efficiency; it's about creating new opportunities.

Take customer service. AI can resolve up to 80% of queries, cutting costs by 30%. But the real magic happens when these agents drive upsells, cross-sells, or even open new business lines.

What's Your Strategic Priority?

The decision to build or buy ultimately hinges on your strategic priorities. If your business model thrives on differentiation and you have the resources to invest, building might be worth the effort. If you're looking for speed and cost-effectiveness, buying could be your best move.

Whichever path you choose, the goal should always be the same: using AI to drive meaningful business outcomes.

Ready to explore how AI can transform your operations? Check out Kemeny Studio services for more insights.

Frequently asked questions

What are the benefits of building AI agents in-house?

Building AI agents in-house offers unparalleled flexibility and the ability to create a system uniquely tailored to your enterprise's needs. This approach is ideal for businesses seeking differentiation and competitive advantage, as it allows for customization that aligns with specific workflows and customer interactions.

When should a company consider buying AI agents?

A company should consider buying AI agents when speed and cost-effectiveness are priorities. This approach is generally faster and cheaper, making it suitable for businesses where AI is a tool rather than a core differentiator. It provides immediate access to proven systems without the need for extensive development.

How does a hybrid "build + buy" approach work?

A hybrid approach involves purchasing a basic AI platform and building custom integrations and workflows on top. This model combines the benefits of a proven system with the flexibility to tailor it to specific needs, reducing risk and speeding time-to-value. It's ideal for companies seeking a balance between customization and reliability.

What factors should influence the decision to build or buy AI agents?

The decision to build or buy AI agents should be influenced by strategic priorities, available resources, and the desired level of differentiation. Companies focused on unique workflows and competitive advantage may opt to build, while those prioritizing speed and cost may choose to buy.

How can AI agents drive new revenue streams?

AI agents can drive new revenue streams by enhancing customer service, enabling upsells and cross-sells, and opening new business lines. By resolving queries efficiently and providing personalized interactions, AI agents create opportunities for increased sales and customer engagement, contributing to business growth.