Imagine a world where routine tasks are handled immedately, complex processes are optimized in real-time, and personalized experiences are delivered at scale by employees that work 24/7.
This is the promise of “AI agents”, intelligent software programs that can act autonomously or assist humans in achieving specific goals, one step up from LLM’s that answer questions that will take actions, send emails, write proposals, update spreadsheets. Others have reffered to these agents as “Digital Employees”.
This report delves into this competitive landscape of the Agentic AI race, and the players wanting to win your business in 2025.
Proprietary Platforms? Or Interconnected?
Salesforce CEO Marc Benioff boldly stated that today’s CEOs will be the last to lead all human workforces, proclaiming that “AI agents are here and they’re taking over more work at the office”
While Salesforce is pushing its own vision of an AI future, where their platform becomes the central hub for all your business processes and data, and would require all your data to be in Salesforce, Google is taking a different approaches by letting you integrate their agents with 3rd party tools with seamlessly integrating with Google services. WHich sounds more attractive to us than dumping all your data into Salesforce.
Tech Giants Building AI Agent Ecosystems
Several tech giants are actively developing platforms and ecosystems to manage and deploy AI agents. These companies are leveraging their existing infrastructure, expertise, and resources to establish a dominant position in this burgeoning market.
Google is positioning itself as a leader in the AI agent space with its Google Agentspace platform. Agentspace offers a workspace where employees can access information, perform complex tasks, and receive proactive suggestions from AI agents tailored to their specific needs.
It combines Gemini AI, enterprise search, and custom AI agents to offer businesses a seamless and intelligent way to manage tasks, automate processes, and drive efficiency Google’s emphasis on customization.
Oracle
Lary Ellison wants to put all of the US governments data into Oracle cloud to get insights from it, the strategy here sounds similar to Salesforce, centred around (and not suprisingly for Oracle) a fully proprietry and closed ecosystem.
Microsoft
Microsoft’s strategy appears to be centered around deeply integrating AI agents within its existing product ecosystem, making them readily accessible to users of its popular productivity and business applications.
Amazon
Amazon’s approach combines a focus on practical, ready touse AI agent solutions with investments in long term research, indicating they are a bit behind the other two hyperscalers.
SAP
SAP’s are focused on leveraging AI agents to enhance its core ERP offerings, automating complex business processes and providing intelligent assistance to users. Like Salesforce this requires you to use SAP for everything.
Beyond the Titans
While the tech giants command significant attention, every second startup and specialized companies are also emerging in the AI agent space. These companies are developing innovative solutions that cater to specific needs and industries, often with a focus on agility and customization.
Investors agree this is a gold mine with some big investments, including:
- Hippocratic AI: Raised $141 million in funding to bolster its AI agent healthcare “super staffing” business
- Qualified: Leads the pack in sales AI agents with $163 million raised across four funding rounds
Consulting is getting in on this as well, at Aviato we have developed an AI agent that can refactor Java code to Javascript, completing 80% of the work in mere hours. While developers are still needed to get the last 20% this kind of agent will reduce 2 year projects to months.
Conclusion
The race to become the central hub for AI agents is just getting started, we are excited, as a Google partner we believe that Google Agentspace integrating with both Google 1st party, and multiple 3rd Party tools is going to be the winner over the proprietary solutions at Microsoft, Oracle, Salesforce and AWS, the interconnected nature of data is going to need a way to connect all data sources and not mandate all data be migrated.
In addition we think there is a great opportunity for our AI Agents to augment our consultants to provide more value to our clients in less time. 2025 is going to be an exciting year.
