To integrate marketing and sales you need to uncover the data elements necessary for alignment, map processes, and build agentic capabilities that bridge gaps through a hierarchy of AI features.
Agentic AI, the next frontier of AI to transform the way we work and live, is only one piece in the wider AI universe. With so many tools and frameworks being developed hourly, the question arises, will humans be replaced or do we fit in the balance of AI’s orchestra of tools?
Agentic AI: "Agentic AI is like next-level robotic process automation," explains Nicholas Clarke, Head of Cognitive AI at Intelagen. "It’s a hierarchy of capabilities and tools stacked together in a way that aligns with a domain's requirements. It’s dependent on the quality of discrete agents amassed in a swarm, orchestrated to execute end-to-end processes."
Intelagen is at the forefront of helping startups and enterprises modernize their technology in the Agentic AI, Web3/Blockchain, Automation, and Cloud technologies spaces.
Updated systems: Agentic AI hosts a world of potential for businesses but Clarke sees many organizations face challenges in harnessing its power due to lower levels of maturity in process engineering and data systems.
"These AI features, when brought together as a collection of tools that are orchestrated, form an agent," Clarke continues. "But until then, it’s more of a disjointed set of processes. Many organizations aren’t mature in mapping processes to data, building secure tooling, or trusting agents to autonomously operate as a team of humans would."
Agentic AI is like next-level robotic process automation. It’s a hierarchy of capabilities and tools stacked together in a way that aligns with a domain's requirements. It’s dependent on the quality of discrete agents amassed in a swarm, orchestrated to execute end-to-end processes.
Tacit knowledge: The process of creating intelligent systems is deeply tied to human expertise and inherent knowledge - an issue facing most companies. Organizations reliant on undocumented, tacit knowledge housed within one person’s brain often find problems when they want to capture or systematize that information:
"This is where organizations with maturity in modeling their processes are going to win," Clarke notes. "Many rely on tacit knowledge that can’t be easily documented. It resides in the heads of individuals, and they’re unlikely to give it up willingly for fear of being replaced. This creates natural resistance to the concept of full-fledged business unit replacements."
Leaders who fail to address tacit knowledge risk knowledge loss and a prime opportunity to work that information set into their own AI. Giving an example Clarke shares, "To integrate marketing and sales you need to uncover the data elements necessary for alignment, map processes, and build agentic capabilities that bridge gaps through a hierarchy of AI features."
