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.
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:
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.
Integration: Custom development can offer seamless integration with existing tools and systems, maintaining business continuity and data integrity.
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:
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.
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:
However, when considering a pre-built solution, the following should also be pondered:
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.
The decision to buy or build should be influenced by several factors:
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.