Agentic AI: Why Build vs. Buy Is the Wrong Question

Most revenue teams framing AI investment as "build or buy" are asking the wrong question. The real question is what your team can build that creates disproportionate value — and what you're burning capacity rebuilding that already exists.

Our CIO Research found 87% of businesses missed their revenue targets in 2025 — the same year Gartner reported AI spending grew 76%. The gap isn't a coincidence. AI deployed without a clear business problem or workflow context produces output in isolation. It doesn't change the decisions that move revenue.

We created this guide to help you decide what you should build, and what you should use a pre-built AI platform for. And, understand how Salesloft's MCP server helps all of your AI investments talk to one another.

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Use this guide to ask and understand these 3 questions:

1. Are you starting with the tech or the business problem? A criteria set for identifying where your process breaks and when a real capability gap justifies a build.
2. Are you building what no one else can build for you? Where custom development compounds: proprietary data, unique GTM motions, and the traps of rebuilding what you already own.
3. Are you building agents or running revenue with AI? What a prototype proves vs. what a production system requires — and why confusing the two is expensive.

From there, build your own plan. 

Salesloft is pro-build. We're just not pro-building the wrong thing. Once you ask and understand the answers to the above questions, you can build where you're unique and use a platform for everything else. 

Salesloft connects what you build unique to your business on an LLM with what is on a pre-built AI platform via it's MCP server. Get the guide to understand how it all works, and get recommendations from Salesloft's product team on how to go about building versus buying AI for your business.