Why is the insurance industry increasingly banking on IT nearshoring? – Copy
AI agents: How can you effectively integrate them into your business by 2028?
Artificial intelligence is profoundly transforming organizations. Following on from the rise of generative AI, a major new stage is taking shape: AI Agents, or autonomous artificial intelligence agents. These systems, capable of acting, interacting and making decisions independently, could, according to forecasts, manage up to 15% of daily business decisions by 2028. AI Agents represent a considerable efficiency lever, but their adoption presupposes overcoming organizational, human and technological challenges. In this article, we take a look at some of the key issues you need to anticipate to ensure their successful integration.
1. Massive and rapid adoption of AI Agents
By 2028, almost 80% of companies will have integrated AI Agents into their processes. Why this acceleration? Because the risk of technological lag is higher than ever.
For example, a claims management software publisher can deploy an AI agent to automate the validation of simple claims, thereby boosting productivity by 30% and freeing up time for complex cases.
✅ Go&Dev tip: Start by mapping your repetitive, low-value-added processes that can be entrusted to an artificial intelligence agent.
2. AI agents: what impact on the role of managers?
Delegating 15% of decisions to AI agents will profoundly transform the managerial function. Managers will have to learn to collaborate with these new digital colleagues, and not just supervise humans.
Example: A project manager can rely on an AI agent to analyze delays, adjust resources and propose proactive recommendations.
✅ Go&Dev Tip: Train your managers in this new cohabitation with AI agents, so that they make them allies in their day-to-day work.
3. Closer cooperation between IT and the business
The integration of autonomous AI agents cannot succeed without close alignment between technical and business teams. Yet there is still a skills gap: 50% of AI positions remain unfilled, and 70% of employees lack the necessary
knowledge.
✅ Go&Dev tip: Launch skills enhancement programs now and involve operational teams right from the scoping phase of AI Agent projects.
4. Prioritize high-ROI AI agent projects
Deploying AI agents requires significant investment. It is therefore essential to prioritize use cases with a high return on investment to convince your stakeholders and ensure the sustainability of the approach.
Example: A banking player can launch an AI agent to pre-qualify credit applications, reducing processing times while improving the customer experience.
✅ Go&Dev tip: Identify 2-3 pilot use cases with rapid ROI to demonstrate the impact of AI Agents.
5. Governing the increasing autonomy of AI Agents
The more autonomous AI agents become, the more vigilant we need to be on issues of supervision and ethics. Solid governance, with a human-in-the-loop system, is essential to avoid abuses.
✅ Go&Dev tip: Integrate clear human intervention rules and autonomy thresholds into your AI agent development pipelines.
6. Redefining the place of humans in the face of AI agents
The challenge is not to over-automate, but to find the right balance between humans and AI agents to maximize collective performance.
Example: in a QA team, an AI agent can automatically generate test scenarios, while the human expert retains final validation and quality control.
✅ Go&Dev Tip: Formalize a human/AI agent collaboration charter, and involve your teams in defining these new roles.
AI agents: prepare today to anticipate tomorrow
Autonomous AI agents are no longer a hypothesis, but an imminent reality. For these AI agents to become a strategic asset, it’s crucial to prepare your company now, by mobilizing your teams around a shared vision.
At Go&Dev, we’re already supporting companies in the healthcare, finance and insurance sectors in deploying bespoke AI agents, with a pragmatic approach focused on people and performance.
Would you like to launch an AI agent project? Contact our team to identify the levers to activate and make your transformation a success.
FAQ AI agents (SEO optimization)
What is an AI agent? An AI agent is an artificial intelligence program capable of perceiving its environment, reasoning and acting autonomously to achieve a defined goal.
How do I choose the right AI agent for my company? The first step is to analyze your processes, your available data and your business objectives, then choose AI solutions tailored to your desired level of autonomy.
What are the risks associated with AI agents? The main risks are algorithmic bias, loss of human control and ethical drift. Solid governance is essential.