AI Agents Are Changing Work—Here’s How to Use Them Effectively

Generative AI agents are changing how organisations operate, offering automation, intelligence, and decision-making capabilities that go far beyond traditional AI models. From enhancing productivity to transforming customer interactions, these AI-driven systems are becoming integral to modern business operations.

However, while the benefits of AI agents are undeniable, their implementation requires careful planning. You must consider data security, accuracy, compliance, and alignment with your company goals to harness AI’s full potential while mitigating risks.

In this article, we’ll explore what Generative AI agents are, their benefits, risks, and best practices for implementation. We’ll also introduce how Kalisa AI Agents provide a secure, enterprise-ready solution for organisations looking to leverage Generative AI safely and effectively.

What Are Generative AI Agents?

Generative AI agents are advanced AI systems that automate tasks, generate content, interact with users, and make autonomous decisions. Unlike basic rule-based automation, these agents leverage Generative AI models to learn from data, adapt over time, and handle complex multi-step workflows.

For example:

• In customer service, AI-powered agents can engage in context-aware conversations, remember past interactions, and provide tailored support.
• In software development, GenAI can write, debug, and optimise code, significantly reducing development time.
• In knowledge management, GenAI can retrieve and summarise critical business insights in seconds, eliminating the need for manual searches.

Boosting Productivity Without Replacing People

The most successful organisations aren’t using AI to replace jobs; they’re using it to enhance productivity and free employees for more meaningful work. In fact, according to a Capgemini survey of 1,100 executives from large enterprises found that 10% of organisations are already using AI agents, while over half plan to adopt them within the next year. Within three years, that number is expected to reach 82%. The survey also revealed that 71% of executives see AI agents as a key driver of workflow automation, 64% believe they will enhance customer service and satisfaction, and 57% consider the productivity benefits to outweigh the risks.

One of the most immediate AI benefits for business is automating repetitive, manual tasks. Generative AI workflows can process invoices, analyse large data sets, and even generate reports in seconds. Instead of employees spending hours on routine paperwork, they can focus on strategic work that requires human judgment.

For example, AI-powered Generative AI knowledge management tools can instantly retrieve your organisation's policies, past project insights, or market trends. This removes the need for employees to waste time searching for critical information, reducing interruptions and boosting efficiency.

Find out how Kalisa AI Agents can securely and effectively transform how you work, improving efficiencies and cutting down costs.

Improving Customer and Employee Experiences

AI-powered chat agents have come a long way. Instead of static, rule-based responses, today’s Generative AI chatbots can engage in more dynamic, context-aware conversations. Gartner reports that 85% of customer service leaders will explore a customer-facing generative AI agent in 2025.

In customer service, AI can handle routine inquiries—like tracking orders, processing refunds, or answering FAQs—freeing up human agents for more complex support cases. The key is not to replace human interaction but to use AI where it adds the most value.

The same principle applies to employee experiences. AI-driven learning systems are making employee training more personalised and engaging, adapting content in real-time based on individual progress. This approach ensures that employees upskill more efficiently and stay engaged.

The Risks of Generative AI Agents

1. The Challenge of AI Autonomy

Unlike traditional AI tools, Agentic AI can independently make decisions—which, while powerful, introduces risks around alignment, oversight, and accountability.

For instance, AI-generated content might be:

• Inaccurate or misleading (a phenomenon known as Generative AI hallucinations).
• Non-compliant with regulations, especially in industries like finance and healthcare.
• Not aligned with business objectives, leading to unintended consequences.

2. Security and Ethical Considerations

AI systems process vast amounts of sensitive data, raising concerns about:

• Data security – AI models that train on unprotected business data can expose proprietary information.
• Bias and fairness – AI can unintentionally amplify biases if not carefully monitored.
• Legal risks – New regulations on responsible AI require strict compliance with ethical standards.

3. The Risk of Over-Reliance

Companies that implement AI without human oversight risk creating a system that lacks adaptability, creativity, and problem-solving skills. AI should augment human decision-making, not replace it entirely.

How to Successfully Implement Agentic AI

To maximise AI’s benefits while mitigating risks, you should follow these best practices:

1. Start with a Clear Business Case

AI implementation should be goal-driven, not technology-driven. Identify key pain points—whether it’s slow customer response times, inefficient workflows, or data bottlenecks—and deploy AI where it has the most impact.

2. Keep GenAI Aligned with Human Oversight

AI should enhance decision-making, not operate without accountability. Use AI for automation, but retain human oversight in areas requiring strategic judgement, compliance, or ethical considerations.

3. Prioritise Security and Compliance

Choose Generative AI platforms that:

• Do not use customer data for model training.
• Offer secure, private AI environments with data encryption.
• Align with GDPR and other regulatory standards.

4. Continuously Evaluate AI Performance

Regular monitoring and real-time feedback loops help ensure that AI models stay relevant, ethical, and effective.

Kalisa: Discover AI Agents With Subject-Matter Expertise

Kalisa is a secure Generative AI platform that enables you to deploy AI-powered chat agents tailored to your unique needs. Unlike generic AI models, Kalisa’s agents are built to protect company data, deliver reliable outputs, and integrate seamlessly with existing systems.

Key Benefits of Kalisa AI Agents:

? Data Security & Compliance – Kalisa never trains on your data, ensuring full control over intellectual property and compliance with UK & EEA regulations.

? Accurate AI Outputs – Kalisa’s advanced grounding and guardrailing technology ensure AI agents provide accurate, trustworthy responses.

? Custom AI Workflows – Automate customer service, internal operations, compliance processes, and decision-making while integrating with your organisation's systems.

? No Technical Expertise Needed – Kalisa provides a fully supported AI solution, allowing non-technical teams to implement and scale AI effortlessly.

With Kalisa, you can harness AI-driven automation minimising the risks associated with hallucinating AI responses or data security breaches.

Want to explore how AI can work for your organisation? Let’s talk