Venture Capitalists invest strongly in autonomous systems powered by Agentic AI, signaling a recent era of technological innovations. In the first first half of 2025, European VC allocated huge $ 548 million at the start -ups of AI agent.
Versions of agency AI systems have been existing for years, but the last progress in terms of the possibility of a natural language has revealed recent horizons. We move from easy Genai powered tools to autonomous “agents” that may perceive, strategist and act independently.
They can work with existing program tools and platforms for performing tasks, cooperation with other agents and people, and learn to enhance your own performance.
However, this money does not go to those that have great ideas on agency artificial intelligence. Investors look at the founders who nailed the implementation and risk management, enclosed in a clear path to ROI, and build agency AI infrastructures with people in the center.
They wish to see the quantified influence of AI agents on business processes. How many of those tools increase efficiency to generate revenues? How did the AI agent increase customer relationships to extend loyalty and how does this translate into results? It is these basic indicators that may make or break business justification for financing.
A solid data foundation is crucial
Then do not forget that investors not only bet on the algorithm; They bet on your data integrity. Last 12 months, the foremost technology players, including GoogleIN MicrosoftIN Openai And others have made investments in order to enable agency functionality.
We have seen the same trends with our clients: they use artificial intelligence in the field of business performance. However, despite the progress, they are still struggling with data quality problems corresponding to data silos, biased data sets and inaccurate input data.
AI built on shaky data bases will only cause problems. Poor data management seriously affects the effectiveness and financial phrases of their AI initiatives, which can send VC working.
Prove that your data is clean, verified and strongly ruled so that AI results are as solid as data management.
Human supervision still matters
However, the appropriate AI agency frames are unattainable without human touch. There is no scenario where people could be completely removed from the equation. Companies recording the highest value from Agentic AI often renew their business processes to set AI solutions, while including the validation of AI models and results under control by humans.
In fact, human supervision over data quality and architecture directly affects the attractiveness of the startup to VC.
According to McKinsey Survey published in March 2025.Organizations “increase their efforts” to administer AI threats related to inaccuracy, cyber security and more. To overtake the game, drive AI adoption and attract founders, organizations need experts in the field of domain and high -quality talent when conducting education on the best security practices.
Organizations must also create a trouble -free relationship between human insight and AI’s capabilities. A really human role of strategic decision making and creative design considering is needed to limit the integral of the risk of AI and responding to failure and violation when it happens. According to BCG AI, Global Survey, the highest efficient organizations follow Principle 10-20-70 In addition, devoting 70% of time to “people, processes and cultural transformation”, which in turn could eliminate the investment.
This rule should apply because corporations introduce AI agents because the human touch of employees is of key importance to making sure responsibility and security. Despite the Agentic AI project, in order to autonomically determine and act on complex processes, older leaders must maintain strategic supervision to make sure that these decisions can be in line with wider strategic purposes.
And let’s face it: mature cooperation of man-Ai is a key indicator of the startup that could be invest.