Agentic AI is rapidly becoming a core part of B2B operations. These autonomous AI agents, often powered by large language models (LLMs), promise faster insights, more precise decision-making, and the ability to act on complex data patterns. Yet for many companies, the challenge isn’t acquiring AI, but rather ensuring the data these agents rely on is accurate, connected, and actionable.
As Toni Keskinen, co-founder and Chief Product Officer at 180ops, says:
“Bringing the data together, enriching it, producing insight from it and then delivering it to the agentic AI is now possible without needing years to get it up and running. We can do it within a quarter.”
Toni’s words highlight a major challenge CIOs face: data exists in abundance—often stored in data lakes or warehouses—but it’s rarely structured in a way that supports advanced AI applications.
Most data systems were designed for operational purposes, not for strategic management or autonomous AI use. This disconnect means that even when AI agents generate insights, they may not be reliable unless the underlying data is clean, connected, and constantly monitored.
Data teams are facing mounting pressures as the demand for computing resources outpaces supply. McKinsey's analysis suggests that global demand for data center capacity could rise by 19% to 22% annually from 2023 to 2030, potentially tripling current demand.
Simultaneously, Bain & Company warns that data centers' global energy consumption could more than double by 2027, necessitating over $2 trillion in new energy generation investments.
This unprecedented growth is straining data teams, who are often operating “in the red” due to demand exceeding capacity. Without strategic investments in infrastructure and technology, organizations risk falling behind in the AI-driven data landscape.
The benefits of Agentic AI extend across the organization:
Data teams report operating in the red due to demand exceeding capacity. Agentic AI enablement powered by 180ops helps relieve this pressure by ensuring AI agents have structured, trustworthy data.
180ops acts as a bridge between raw company data and Agentic AI systems. The platform connects disparate data sources, enriches account and contact information, and harmonizes the information so AI agents can use it effectively. Without such infrastructure, LLMs may produce answers — but they can’t guarantee accuracy or relevance.
Toni adds:
“You have to make sure you’ve got the right data, for the right purpose. Without that, you can’t rely on the results you get from the LLM models or agents.”
The 180ops platform capabilities allow companies to reduce the time from data collection to actionable AI insights from years to just a single quarter. For CIOs and executive teams, this acceleration is transformative, enabling them to meet the rising expectations of boards and management without overloading their teams.
Here is Toni, with a further explanation of how 180ops supports data teams in combatting the overwhelm that has become commonplace today:
Agentic AI has the potential to transform business operations, but its success hinges on data quality and accessibility. 180ops equips companies with the tools to connect, enrich, and deliver data to AI agents efficiently. This enables executives to leverage AI confidently, accelerate strategic initiatives, and transform how decisions are made.