Promevo has reached the Diamond Tier in Google Workspace’s Co-Sell & Services Partner Path, the program’s highest level of recognition, giving the company expanded access to Google funding, engineering resources, and product teams as it grows its Gemini Enterprise, cloud migration, and data modernization services.
Google Diamond status expands Promevo’s technical access
Speaking with Channel Insider, Promevo CEO Karthik Kripapuri said expansion is underway as customers face a new set of challenges in AI adoption.
As organizations move from experimentation toward production deployments, he said issues around data readiness, governance, and measurable business value are becoming increasingly important.
“AI is not going to fix problems for you that humans could not have,” Kripapuri said. “What it’s going to do is shine a massive light on…inefficiencies and lack of proper process documentation and governance models.”
Promevo said it achieved Diamond status within six months of Google implementing its new partner tiering structure. According to Kripapuri, the designation reflects benchmarks around certified technical staff, customer technology adoption, and new business generation.
The status gives Promevo access to several additional Google Cloud resources, including:
- Increased migration subsidies, proof-of-concept funding, and AI assessment credits
- Priority escalation paths for customer issues
- Closer alignment with Google product and engineering teams
- Earlier visibility into product roadmaps and upcoming capabilities
Promevo says deeper Google ties improve how it enables customer success
Kripapuri said that deeper technical access becomes particularly important when customer implementations encounter edge cases that cannot be addressed through standard configurations.
“There are always edge cases…that happen when you implement solutions for clients that require a deeper relationship with Google,” he said.
That access also extends to Promevo’s own software development. The company builds gPanel, a Google Workspace administration and reporting platform, and is preparing to launch Insights by Promevo for monitoring Gemini Enterprise and Google Cloud environments.
AI adoption puts data readiness and governance first
The shift toward AI is also changing what customers need from partners. In adopting emerging technologies such as agentic AI, Kripapuri said organizations first need to determine whether their underlying data and access controls are ready to support AI agents.
“Where is my data? Is my data properly tagged and named? And do we have the right people, the right permission?” Kripapuri said. “Who, what, when can have access to the data? That is the number one thing.”
Organizations also need visibility into what their agents are doing, whether unmanaged agent sprawl is developing, and how much those systems are costing.
Kripapuri also argued that the same governance challenge is emerging around citizen development, as more employees gain the ability to build their own applications, workflows, and agents.
“Enterprises want to give a lot of freedom to their citizens, but we want to make sure that all of this is deployed in a way that is easily governed and being managed as well,” Kripapuri said.
He added that these questions around governing employee-built agents and AI workflows were not major concerns for CTOs and CISOs only a few years ago.
Promevo urges customers to prove AI value before scaling
Alongside security and governance, organizations also face the recurring issue of return on AI investment, or AI ROI. In this respect, Kripapuri said Promevo encourages customers to start with one or two use cases tied to clear pain points instead of beginning with a long list of potential AI projects.
“We always start with the proof of concept,” Kripapuri said. “Don’t try to adjust like 15 different use cases at this point. Let’s take one or two use cases with a couple of teams that are the highest pain points.”
From there, he said organizations can define measurable objectives, test the use case, and validate whether it solves the intended problem before moving it into wider production.
Kripapuri cautioned that ROI should not always be measured exclusively through reduced costs or improved efficiency.
In manufacturing, for example, Kripapuri highlighted that critical operational knowledge may reside with a small number of experienced engineers. Capturing that knowledge and making it accessible through AI could reduce organizational risk even if the project does not generate an immediately obvious cost saving.
“The ROI is measured more than just cost savings or efficiency gains,” Kripapuri said. “It’s about making sure the organization is also de-risked.”
Once a use case has been validated, Kripapuri said that the next challenge becomes expanding it across the business and determining which additional AI use cases are worth bringing into production.
Google partners see a broader AI services opportunity
Asked how he sees partners’ roles evolving as Google expands its AI portfolio, Kripapuri said he expects the services opportunity to grow, especially as partners remain close to customers and help translate the underlying technology into specific business implementations.
“Google does not provide services to their clients,” Kripapuri said. “They rely on partners to provide services.”
Promevo has been building around that role through Gemini adoption workshops and services dating back to Gemini for Google Workspace, and more recently around products such as Gemini Enterprise.
Kripapuri also sees Workspace and Google’s agentic AI portfolio becoming more interconnected as customers look to embed agents into the applications and data employees already use.
For partners, that could make existing Workspace relationships an entry point into broader AI projects rather than a separate part of the customer technology stack.
Value add comes from lack of clarity around AI tooling
Kripapuri argued that the immaturity of current AI tools makes that services role more important, not less.
“That’s where partners add value. Technology is never…going to be perfect. We absolutely believe all of these models and tools are really in the infancy stage at this point.”
He said the opportunity for partners is to combine an understanding of the customer’s business with knowledge of the underlying platform and the services needed to make it work in practice.
“The ability to understand a client’s business, understand Google’s value prop [proposition], and the solutions that they’re bringing and combining together allows us to be a massively differentiated partner.”
As AI becomes easier for enterprises to access, the channel’s value could shift away from simply providing the technology and toward helping customers govern, integrate, and operationalize it.
“The people who are closest to our clients are going to be the most important. That is going to be very valuable in the age of doing real business transformation.”