Power and Potential of AI agents

"Word on the street is that AI agents are the unsung heroes of innovation, quietly transforming the way we live and work. From managing surges in volume and delivering 24/7 customer support to staying within budget and beyond, there is nothing that AI agents can't handle. Vikrant Agrawal, cofounder of Care.Fi, sheds light on the power and potential of AI agents "

Corporate Citizen: Give us a premise of what AI Agents are.

Vikrant Agrawal: In any organisation, numerous tasks and processes occur simultaneously. If not managed effectively, overlooking critical activities can lead to significant setbacks. Serving this purpose well is yours truly AI agents – software program that can observe, learn, and make decisions to complete tasks without constant human intervention. It uses machine learning, automation and predictive analytics, to process large amounts of data, identify patterns and take intelligent actions.

AI agents are becoming crucial because they increase efficiency, reduce human error, and optimise decision-making across industries. For instance, in healthcare fintech, AI agents are increasingly playing a key role in financial management, risk assessment and fraud detection.

Let’s take an example – hospitals, doctors and medical suppliers, often face cash flow challenges due to delayed payments from insurers, long credit cycles, or high working capital needs. Traditionally, securing funds involved manual paperwork, slow risk assessments and banking delays, making it harder for healthcare providers to operate smoothly.

An AI-powered financing agent can:

• Analyse real-time financial data from hospitals, pharmacies and suppliers.
• Assess creditworthiness instantly using AIdriven risk models.
• Provide automated financing solutions like invoice discounting, receivables financing, and working capital loans without traditional banking hassles.
• Predict cash flow needs and ensure seamless fund availability.

By leveraging AI, Care.Fi enables healthcare providers to access financing quickly and efficiently, ensuring smooth operations, timely supplier payments, and uninterrupted patient care. AI agents in fintech are revolutionising how hospitals manage finances, reducing dependency on slow traditional banking methods.

CC: What’s the most exciting ways AI agents are transforming businesses today?

Without a doubt, automated financial operations are revolutionising industries at an unprecedented pace. The evolution of technology has fundamentally transformed processes that were once manual, error-prone and time-consuming. Just a few years ago, tasks like insurance claims processing, invoicing and credit assessments, relied heavily on human intervention, often leading to inefficiencies and delays. Today, AI-driven solutions are reshaping these operations, enabling real-time validation of claims, predictive fraud detection and instant financing decisions. The transformation is profound, which is making the way for smarter, faster and more reliable financial ecosystems.

CC: How do AI agents help businesses save time, money or resources, in ways humans can’t?

AI agents automate repetitive tasks, analyse vast amounts of data in real-time and optimise decision-making, allowing businesses to operate faster and more efficiently than ever before. Unlike humans, AI can process millions of data points in seconds, reducing errors and enhancing productivity.

Across industries, AI-power is a boon as they:

• Streamline revenue cycle management by automating billing and claims processing.
• Automate customer service using chatbots, cutting response times by 90 per cent.
• Enhance fraud detection in finance, saving banks billions annually.

In healthcare fintech, AI agents accelerate loan approvals, predict payment patterns and prevent fraud, ensuring financial stability for medical providers. As businesses continue to digitise, AI is proving essential for saving time, reducing costs and improving efficiency, across every sector.

Let’s take an example of revenue management with AI. At Care.Fi, our AIdriven revenue management strategy combines out-of-the-box cloud solutions with in-house trained models. We use AI to parse customer documents, policies and invoices, to enable straight-through processing. By extracting critical information, generating summaries and performing derived calculations, our AI helps streamline operations for internal teams.

Our AI agents function in various roles, including operations, processors, decoders and task agents. AI plays a crucial role in both financial underwriting and clinical underwriting, adapting to the specific requirements of each process.

We have trained our Large Language Model (LLM) to understand health insurance policies, enabling faster authorisations. When a claim is entered into the system, the AI automatically reviews the policy, answers key questions about coverage and exclusions, and expedites the authorisation process. With that, our machine learning models are trained on disease-specific diagnostics and treatments. AI agents analyse treatment plans and notify if any discrepancies arise, helping to prevent claim rejections from payers.

Additionally, AI agents scan and categorise claim bill items into major categories, providing a summarised view for processors, and improving accuracy and efficiency. Moreover, having processed over one lakh claims, our AI models continuously improve through feedback loops. We have also integrated RetrievalAugmented Generation (RAG) to keep our models up to date.

With these advanced AI technologies, we ensure compliance with stringent data privacy and security regulations.

"To ensure transparency and accountability in AI-driven healthcare fintech, businesses must adopt clear disclosure, human oversight, regular audits, regulatory compliance and dispute resolution mechanisms"

— Vikrant Agrawal

CC: How can businesses ensure transparency and accountability when using AI agents?

To ensure transparency and accountability in AI-driven healthcare fintech, businesses must adopt clear disclosure, human oversight, regular audits, regulatory compliance and dispute resolution mechanisms. Companies should explain AI-driven financial decisions, such as loan approvals or denials, to maintain trust. Human oversight is essential, ensuring that AI-generated financial outcomes undergo review. Regular audits help detect biases in claim approvals or financing eligibility, while strict adherence to financial and data protection laws safeguards compliance. Additionally, clear dispute-resolution channels allow healthcare providers to challenge AI-based decisions. By prioritising ethical AI practices, businesses can foster trust, compliance, and responsible AI adoption in financial healthcare.

CC: What’s the future of AI agents? Do you think they will become more integrated into daily life, or will they remain specialised?

AI agents are evolving from specialised tools to deeply integrated systems that will transform healthcare fintech. We leverage AI to streamline financial operations for hospitals, doctors and medical suppliers, enhancing liquidity and reducing inefficiencies. The future will see AIdriven credit underwriting, enabling real-time loan approvals, autonomous financial planning, optimising cash flow for healthcare providers, and AI-powered insurance negotiations, improving claim approvals.

In addition to that, AI will revolutionise supply chain financing, ensuring seamless transactions between stakeholders. However, human expertise will remain crucial in regulatory compliance, patient-centric financial planning and ethical AI governance. The future isn’t AI replacing humans. It's a hybrid model where AI augments human intelligence to drive financial innovation in healthcare. By combining AI’s efficiency with human oversight, we ensure transparency, fairness, and improved access to financial services in the healthcare ecosystem.