AI Agent Strategy: Build vs. buy decision-making matrix
AI agents are reshaping how modern teams work—automating processes, accelerating output, and improving decision-making. But as the options grow, so does the complexity. Should you build your own AI agent tailored to your stack, or start fast with a plug-and-play tool?
This guide is built to help you answer that question clearly. With a practical decision-making matrix and real-world use cases, you’ll be able to weigh the trade-offs, evaluate your team’s needs, and move forward with confidence—whether that means building from scratch, buying off-the-shelf, or doing a bit of both.
Use this matrix to decide whether to build a custom AI agent or buy an existing tool, based on your team’s real needs.
Evaluation criteria
1. Use case complexity
How variable, contextual, or multi-step is the task?
☐ 1 ☐ 2 ☐ 3 ☐ 4 ☐ 5
2. Time-to-impact
How quickly do you need to see results?
☐ 1 ☐ 2 ☐ 3 ☐ 4 ☐ 5
3. Data control requirements
Do you need to keep full control over inputs, outputs, or sensitive data?
☐ 1 ☐ 2 ☐ 3 ☐ 4 ☐ 5
4. Integration requirements
Does the agent need to connect deeply with multiple tools or systems?
☐ 1 ☐ 2 ☐ 3 ☐ 4 ☐ 5
5. Internal technical resources
Do you have access to developers or automation specialists?
☐ 1 ☐ 2 ☐ 3 ☐ 4 ☐ 5
6. Long-term scalability needs
Will this workflow grow in complexity or volume over time?
☐ 1 ☐ 2 ☐ 3 ☐ 4 ☐ 5
Total score: _______ / 30
How to interpret your score:
- 6–12: Buy
Your use case is simple, and your team likely needs a fast, plug-and-play solution. Start with an AI SaaS tool to test the waters. - 13–20: Consider hybrid
Some elements may benefit from buying, while others may require customization. You may want to use off-the-shelf tools and augment them with light scripting or semi-custom logic. - 21–30: Build
You have clear complexity, ownership, and scale needs. A custom-built AI agent will give you the flexibility, control, and long-term ROI your business needs.
In sum
There’s no one-size-fits-all answer when it comes to AI agents. Your ideal strategy depends on how complex your workflows are, how quickly you need results, and how much control you want over logic, data, and scale.
Whether you lean toward building, buying, or blending both approaches, the key is starting with clarity. Use the matrix to guide your decision, avoid wasted time or budget, and align your team around the approach that fits your real goals.