Should You Buy Or Build Your Ai Based Revenue Operations Solution

Published on January 2, 2024 by Sawyer Middeleer

Should You Buy Or Build Your Ai Based Revenue Operations Solution

In the rapidly evolving digital landscape, revenue operations (RevOps) have become a central focus for growth-oriented businesses. It's a discipline that integrates sales, marketing, and customer success operations across a customer's journey to drive growth through operational efficiency and keep all segments aligned.

One pivotal decision that businesses face in enhancing their RevOps is whether to buy a pre-built AI-based RevOps solution or to build their own custom AI platform. This decision is consequential, impacting everything from operational agility to ROI. Let's explore the nuances of both options and provide insight into which route might be best for your organization.

Assessing the Build Option: Creating Your Custom AI Solution

The decision to build a custom AI-based RevOps solution comes with the allure of a system perfectly tailored to your business's unique needs. Let's delve into what such an endeavor would entail:

  1. Customization: Building an AI solution offers customization that caters to specific processes and industry nuances. This can result in a competitive edge by leveraging unique data sets and process workflows.

  2. Integration: Custom development can offer seamless integration with existing tools and systems, maintaining business continuity and data integrity.

  3. Ownership and IP Control: Retaining intellectual property of the created solution can be advantageous, potentially adding to the company’s valuation.

However, building your own AI platform comes with several challenges:

  • High Cost: The costs associated with developing an AI solution can be prohibitive. Building an in-house team includes not just initial development costs but ongoing maintenance, support, updates, and infrastructure costs.
  • Time-Consuming: Developing an AI solution from scratch is a long-term endeavor, often requiring years of development before deployment.
  • Risk of Failure: AI development projects carry significant risk. Without the right expertise, projects can fail to meet expectations or overrun on costs.
  • Resource Intensity: Your most talented resources will need to focus on the development of this solution rather than on the core business operations.

Given these considerations, building an in-house solution is a significant undertaking that requires a large upfront investment, both in terms of time and finances.

Evaluating the Buy Option: Purchasing a Pre-Built AI-Based RevOps Solution

Purchasing a pre-built solution is an attractive option for many reasons and tends to be the path businesses lean towards. The reasons for this include:

  • Speed of Implementation: Pre-built solutions can be deployed rapidly, sometimes in a matter of days or weeks, depending on the complexity.
  • Lower Initial Cost: While there are costs associated with licensing or subscribing to a software-as-a-service (SaaS) platform, they are significantly lower than building an in-house solution.
  • Proven Reliability: Established solutions have been tested, iterated, and have proof points with other customers.
  • Immediate ROI: With faster implementation, pre-built AI RevOps platforms can start delivering insights and optimizations quickly.
  • Updates and Maintenance: The provider typically manages updates and maintenance, relieving your team of these tasks.
  • Scalability: Established platforms are usually scalable, growing with your business without the need for radical restructuring.

However, when considering a pre-built solution, the following should also be pondered:

  • Less Tailored: Off-the-shelf solutions may not cater to the unique aspects of your business, potentially leading to gaps in functionality.
  • Ongoing Costs: Subscription or licensing fees are an ongoing expense, and costs can grow as you scale.
  • Dependency: You become dependent on the vendor for updates, support, and future developments.
  • Integration Challenges: Integrating with your existing stack can sometimes be complex, despite the promises of compatibility and easy integration.

The Middle Ground: Tailored Solutions From Third Parties

There is a third option to consider, often overlooked, yet potentially offering the best of both worlds — a tailored solution from a third-party provider. This option involves partnering with a vendor that offers customization on top of their pre-built platforms. It provides the benefits of a quick setup and professional maintenance, along with the customization necessary to fit specific business needs.

Making the Decision: Buy or Build?

The decision to buy or build should be influenced by several factors:

  • Speed to Market: How quickly do you need to implement the solution?
  • Resource Availability: Do you have the in-house talent and resources necessary for development? If not, can you afford to onboard and sustain such a team?
  • Risk Tolerance: Are you willing to take on the risk associated with software development?
  • Growth Stage: Are you seeking immediate efficiencies or investing in a long-term foundation?
  • Budget: What are your financial constraints? Consider not just the upfront cost but the total cost of ownership.

In an environment where agility and speed are paramount, purchasing a pre-built AI-based RevOps solution can offer immediate benefits to a business, especially for small to mid-sized companies that might not have extensive resources to develop a platform in-house. Larger organizations with specific regulatory needs, complex integrations, and the finances to support development could benefit from building a solution that provides them with a tailor-fit system.


In summary, most businesses, particularly those in dynamic markets, will find greater value and a quicker time to value by purchasing an existing AI RevOps solution. Building an in-house solution should only be considered when you have a clear and exceptional need that cannot be met by existing platforms.

Ultimately, the 'build or buy' decision is strategic. It should align with your organization's long-term vision, operational requirements, and financial constraints. Regardless of the path you choose, it's pivotal that the selected RevOps solution becomes a lever for scaling your business, fostering collaboration across departments, and driving revenue growth. And if you find yourself looking for an AI solution that offers the benefits of both buying and building, remember to explore solutions like Aomni, which provides tailored AI-driven insights for B2B sales operations without the need for extensive in-house development.

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