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Deven Jayantilal Ramani
VP, Softices
Artificial Intelligence
04 August, 2025
Deven Jayantilal Ramani
VP, Softices
…And Why More Companies Are Turning to It
Running a business today isn’t easy.
You have to deal with growing competition, rising costs, changing customer needs, and a fast-moving market. On top of that, you’re expected to make quick decisions, keep customers happy, and be at the top of the game.
AI (Artificial Intelligence) is the answer to all these problems.
Lately, at Softices, we’re seeing more and more businesses coming to us for AI-based solutions. Why? Because AI helps solve real business problems faster, cheaper, and smarter.
In this blog, we’ll show you some of the major problems businesses face, and how AI can fix them.
Customer support teams are overwhelmed. As your business grows, so do the number of queries, complaints, and requests. Responding to everyone on time becomes tough, especially with a small team or outside business hours.
You may have great products or services, but if the right people don’t see the right message at the right time, your sales suffer. Sales teams waste time on low-quality leads, and marketing efforts don’t always bring returns.
Fraud, especially in finance and insurance, is a huge risk. Manual reviews are slow and sometimes inaccurate. At the same time, good customers may be wrongly flagged, leading to bad experiences.
Doctors and hospitals face delays in diagnostics due to limited staff and large volumes of medical images (X-rays, MRIs, etc.). Missed signs can lead to late treatments or errors.
For healthcare startups especially, AI is opening up practical ways to handle large amounts of data, support medical decisions, and even predict patient needs over time.
Unpredictable demand, delivery delays, and stock issues hurt both profits and customer experience. Managing logistics manually is complex and inefficient.
Unexpected machine breakdowns stop production and lead to high repair costs and missed deadlines. Manual quality checks may also miss product defects.
Going through hundreds of resumes takes too much time, and good candidates might slip through. Also, it’s hard to spot which employees may leave soon.
Cyber threats are growing, and it’s tough for IT teams to monitor everything. A single breach can cause major financial and reputational damage.
Creating high-quality content for blogs, ads, and social media takes time and resources. Teams often struggle to keep up with demand.
Financial decisions need to be fast and accurate. Traders and lenders often work under pressure, and traditional credit scoring may miss out on good customers.
Business Function | Traditional Approach | AI-Powered Approach |
---|---|---|
Customer Service | Human agents handle queries (limited hours, slow response). | Chatbots (24/7 instant replies, NLP for understanding). |
Sales & Marketing | Manual lead scoring, generic ads. | AI predicts high-value leads, personalizes recommendations. |
Fraud Detection | Rule-based systems (slow, high false positives). | AI detects anomalies in real-time (e.g., PayPal). |
Healthcare Diagnostics | Radiologists manually review scans (time-consuming). | AI analyzes X-rays/MRIs in seconds (e.g., PathAI). |
Supply Chain | Manual demand forecasting (error-prone). | AI predicts demand using historical/weather data. |
Manufacturing | Scheduled maintenance (unplanned downtime). | AI predicts machine failures (sensor data). |
HR & Recruitment | Manual resume screening (biased, slow). | AI matches candidates to roles (skills-based). |
Cybersecurity | IT teams monitor threats (reactive). | AI detects breaches in real-time (e.g., Darktrace). |
Content Creation | Writers draft from scratch (hours per piece). | AI generates drafts in minutes (e.g., ChatGPT). |
Financial Trading | Human traders (emotional, slow). | AI executes trades in milliseconds (algorithms). |
Until recently, only big companies (tech giants or research labs) had the resources to explore AI. Today, even small and medium-sized businesses are using AI tools to save time, cut costs, and make better use of their resources.
Here’s why this shift is happening:
You no longer need a huge budget or a team of data scientists to get started. Many AI solutions can be customized or even used right off the shelf.
Whether it's real-time support, quick deliveries, or personalized offers, businesses need to respond faster than ever. AI helps make that possible.
Many companies still spend hours doing repetitive tasks. AI can take over the routine work, so teams can focus on growth and strategy.
If your team is stretched thin, AI can take care of the routine parts of the job, so your people can focus on what really needs their attention.
If your competitors are getting things done faster or with fewer mistakes, AI might be part of the reason. It’s worth looking into before you fall behind.
Most modern AI tools are designed to work with your existing website, CRM, or business system. You don’t need to rebuild everything from scratch.
This shift is especially clear in industries like finance, where AI is helping detect fraud, manage risk, and personalize banking at scale. Our breakdown of how AI is being used in fintech shows just how much ground it’s already covering.
In short, businesses are turning to AI because it solves real problems in a practical way. It’s not about chasing trends, it’s about making daily work easier, faster, and more manageable.
You don’t need to be a tech expert to start using AI. In fact, the best way to begin is by keeping it simple and focusing on one clear goal.
Here’s how you can take the first step:
Think about the tasks that take up too much time, lead to errors, or slow things down in your business. That’s usually where AI can help the most.
Many AI solutions fail because they’re too complex or don’t fit the way a business works. Work with a team that can break things down clearly and suggest what actually makes sense for your setup.
You don’t need to build a full system right away. Start with a small project like automating responses, sorting incoming messages, or predicting something simple. If it works well, you can slowly expand.
AI should make life easier for your team, not more confusing. Make sure they understand how it works, what to expect, and how it helps them.
The goal isn’t to “use AI”, it’s to make something faster, smoother, or more useful. Always check if the solution is actually saving time or helping you make better decisions.
Getting started with AI doesn’t mean going big right away. It’s about finding what works for you and building from there.
If you’ve been thinking about using AI in your business but weren’t sure where to start, now is the right time.
AI isn’t just for big companies or tech-driven startups anymore. It’s helping businesses of all sizes solve everyday problems from saving time and reducing costs to improving customer service and making smarter decisions.
At Softices, we’ve been working closely with businesses across different industries, helping them build practical, easy-to-use AI solutions. Whether you want to automate a small task or plan a larger AI strategy, we can guide you through it, step by step.
You don’t have to figure it all out on your own.
If you're curious about how AI could fit into your business, we’d be happy to have a simple conversation.
Let’s explore the possibilities of AI for your business together.