Business leader Nitin Lahoti of Mobisoft Infotech discusses the strategy for expanding AI's influence on corporate performance.
In the dynamic world of healthcare and business, Mobisoft Infotech is making waves by leveraging Artificial Intelligence (AI) to streamline operations and improve outcomes.
Predicting No-Shows and Automating Follow-Ups in Healthcare
Mobisoft's innovative systems predict no-show rates and automate follow-ups, aiming to enhance patient care. By automating repetitive tasks, healthcare providers can focus on strategic and creative aspects, creating a significant operational advantage.
Data-Driven Decision Making for Executives
AI is transforming the decision-making landscape, replacing guesswork with data-backed actions. Executives now receive daily insights on performance, risks, and anomalies, empowering them to make informed decisions.
AI Strategies for Startups
Startups can effectively compete with larger players by focusing on speed, targeted applications, and scalable tools. Key strategies include:
- Automating High-Impact Tasks: AI can automate repetitive operations, freeing up staff to focus on strategic and creative work.
- Adopting Generative AI APIs and Tools: Rapid deployment of advanced language capabilities for content creation, personalized messaging, and customer engagement is possible without building models in-house.
- Using AI Agents and RAG Integrations: These enhance domain relevance and accuracy, improving customer experiences and decision support with limited data.
- Phased, Focused AI Integration: Start with one area where AI can deliver the most ROI, test simple tools, and measure outcomes before expanding.
- Combining Human Judgment with AI: This ensures AI-driven insights and automation align with business goals and maintain quality, ethics, and compliance.
AI Approaches for Startups
Startups can choose from three AI approaches: building in-house, buying off-the-shelf, or hiring AI consultancies, each with its own pros and cons.
Mobisoft's Approach to AI
Mobisoft builds modular platforms and uses cloud-native tools to ensure scalability from the start. They prioritise emerging technologies if they solve a real business problem, not just for their novelty. Their teams are trained to think beyond verticals and look for solutions that can be applied across industries.
AI in Sales and Operations
In sales, AI helps teams prioritise better by ranking leads based on buyer intent and past behavior. In operations, AI makes processes more efficient, such as optimising fleet management.
The Role of Leadership and Data Quality
Leadership involvement is crucial in the success of AI implementation. Data quality is also crucial for scalable AI, as it needs clean, well-organized data to perform well.
Quality Control and Data Privacy
Quality control is necessary when using Generative AI, as AI can generate wrong or misleading content. Data privacy is critical when investing in Generative AI, as many platforms store prompts or responses and can lead to security issues.
The Future of AI with Mobisoft Infotech
Mobisoft's work is purpose-driven and focused on solving real-world problems, not just coding for the sake of it. They understand the importance of process change, with teams needing training and roles needing redefinition for AI to be effective.
Nitin Lahoti, Founder and Director at Mobisoft Infotech, discussed the transition of enterprises from AI pilots to full-scale deployment. Infrastructure plays a role in AI deployment, with cloud-native tools and API-based systems helping to scale AI faster and more securely.
Today, strong ROI is seen in support automation, content generation, and internal search with Generative AI. Companies are now deploying AI in production environments where it impacts business KPIs directly. AI is improving how companies operate at every level, including sales, operations, and decision-making.
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