By: AK Infinite

Artificial intelligence has rapidly evolved from a futuristic concept into a foundational component of modern business operations. As companies continue their AI transformation journeys, 2025 will separate hype from reality. Industry expert Andrew Brooks, founder and CEO of Contextual.io, shares key insights into how AI will impact workflows, decision-making, and enterprise efficiency in the coming year.

Agents Won’t Be the Universal Solution

Conversational agents and AI-driven assistants have dominated discussions about AI’s future. However, Brooks emphasizes that not every AI-powered solution requires an agent to be effective. “Many AI implementations can deliver significant value without the presence of an agent,” he explains. Whether optimizing internal processes, refining automation, or improving decision-making, AI-driven insights and integrations may function seamlessly without the autonomy and ‘independent action’ of an agent.

Generative AI chatbots and agents are finding use in areas like customer support and coding assistance. Alongside these applications, businesses are exploring ways to integrate AI into specific business functions where it can offer meaningful contributions. This approach emphasizes using AI strategically to enhance operations rather than relying solely on generalized tools.

AI Will Emerge Behind the Scenes

For many businesses, AI will become an invisible yet indispensable force driving efficiencies across multiple areas. Rather than being front-and-center in every interaction, AI will quietly enhance workflows, sales, supply chain management, marketing, and beyond. According to Brooks, “AI is moving beyond conversational and user-facing customer service chat solutions or co-pilots. It will be embedded in core business processes, quietly transforming industries without needing user interaction.”

This shift means AI’s role will be less about flashy consumer-facing experiences and more about operational excellence. Companies will leverage AI to streamline decision-making, improve forecasting accuracy, and optimize processes without customers even realizing it’s happening.

Tech Consultants May Accelerate AI Solution Delivery

The time it takes to implement AI-driven solutions will dramatically decrease in 2025, thanks to platforms like Contextual.io. “Enterprises no longer need months—or even years—to deploy AI solutions,” Brooks notes. “Contextual enables proofs of concept in days and fully functional systems in weeks.”

Contextual.io offers an AI orchestration platform designed to support data transformation, AI model management, workflow coordination, and scalable computing. It provides low-code data and logic functions, a selection of pre-built solutions, and tools for streamlined deployment. These features aim to simplify AI implementation processes across areas like go-to-market strategies, service delivery, data transformation, and IoT.

Not Everything is Suited for AI

Despite the growing enthusiasm around AI, not every problem has an AI-powered solution. Brooks cautions that certain areas, such as data visualization and time-series forecasting, may still be better suited for existing tools and methodologies. “We’re reaching a point where businesses will recognize that AI is not the answer to every challenge,” Andrew says. “There are still many areas where traditional software and analytics approaches outperform AI-driven models.”

In 2025, businesses are expected to take a more focused approach to AI, identifying areas where it can add value and considering where other tools may be more effective. This thoughtful perspective aims to optimize resources and support the use of AI in ways that align with specific needs and opportunities.

The Future of AI in Business

The coming year will mark a significant turning point in AI adoption. As businesses transition from experimental AI deployments to full-scale implementation, the emphasis will shift toward pragmatic applications. Platforms like Contextual.io are crucial in making AI integration faster, more affordable, and more effective.

In 2025, companies are likely to focus on practical applications of AI, exploring how it can contribute to meaningful changes and outcomes within their operations.

Published by Drake M.