FEATURE AI REVENUE GENERATION
The channel’ s AI opportunity is about helping organisations manage the governance, compliance and security challenges that AI has brought to the surface.
how to adopt AI securely, integrate it into existing workflows and ensure the right controls are in place from day one.
One of the biggest mistakes the market continues to make is focusing on AI as a standalone innovation. The real value comes when AI is embedded into existing documents and business processes to automate repetitive tasks, improve productivity and reduce operational friction. Customers are looking for practical outcomes, not flashy demonstrations.
The partners that will generate sustainable AI revenue are those that can bridge the gap between innovation and governance. By helping customers deploy AI responsibly, mitigate risk and achieve measurable business outcomes, they can build long-term relationships that extend far beyond the initial technology sale.
Jon Lingard, Global Head of Alliances & Channels at New Relic: Partners can turn growing demand for AI into sustainable revenue by focusing on what happens after deployment. As
AI moves into production, complexity is outpacing human cognitive ability, with more models, agents and integrations making it harder for organisations to understand performance, control costs or maintain effective governance.
But this complexity is also creating a clear opportunity for partners. Rather than just deploying AI, they can build services around monitoring, troubleshooting and optimising these systems in production, because that work doesn’ t stop once a model is live.
In practice, that centres on three areas. First, governance and risk – helping organisations understand how AI systems are behaving and maintain control as they scale. Second, performance – diagnosing issues across models and integrations before they affect outcomes. And third, cost – helping organisations understand usage patterns and avoid overspending on the wrong models or workloads.
As organisations build more complex AI environments, the challenges don’ t stop once systems go live. They still need to monitor performance and manage costs as those systems evolve. Helping customers manage that complexity and maintain that level of visibility on an ongoing basis is where partners can build recurring revenue over time.
David Primor, CEO & Co-founder, Cynomi: The mistake most partners make is treating AI as a product to resell. The licence is the first thing to get commoditised, and the lasting opportunity is becoming the advisor who helps your clients adopt AI safely and get real value from it.
The demand is here, now! Clients aren’ t asking whether to use AI, they’ re expecting their provider to lead. The way to make that sustainable is to deliver AI as a consistent, repeatable service across the full lifecycle.
It starts with discovery: understanding the business outcome while assessing the readiness, data exposure and what needs to be in place before anything is switched on.
It moves into governance: approved-tool policies, data controls, permission clean-up and training which isn’ t a single deliverable, but an ongoing programme clients will gladly invest in once they see the value.
Lastly it carries into management: rollout, adoption and measuring whether AI is genuinely saving time or creating risk. The partners we see winning are the ones
running AI in their own business first. That lived experience with structured knowledge, repeatable process and a trusted relationship is the moat.
AI is raising the bar for what clients expect. The partners who treat it as an operational capability, not another line item, will be
The mistake most partners make is treating AI as a product to resell.
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