Artificial Intelligence Consulting Services

There are broadly three main ways AI can help your business:

- Derive better insights from your data and enable better business decisions.

- Increase the efficiency and productivity of your organization.

- Enhance customer experience and personalization.

We're glad you asked! We’ve built and scaled several AI-based products in the last 4 years across 16+ industries. We have two products of our own in this space. Clearly, we know a thing or two about AI.

Maruti Techlabs focuses on developing AI solutions that augment rather than replace human capabilities. A good example of this is our no-code chatbot and live chat platform - WotNot (www.wotnot.io).

We keep your organizational and business needs at the center of the collaboration and take a step-by-step incremental approach rather than an abrupt and radical approach to implementing AI.

With the right technical expertise and more than a decade of hands-on experience working on AI projects, we ensure high-ROI AI solutions for your company.

The process is mainly divided into two broad phases:

1. Feasibility Study - As the name suggests, this phase determines the feasibility of the AI project. The feasibility analysis phase involves our team carrying out a full-scale qualitative and quantitative analysis and refining of your datasets. They define, preprocess, and transform the available data to make it fit to be used for the model development.

2. Model Development - Based on the output of the Feasibility Study, we have a clear picture that outlines if the data is good enough to proceed with full-scale development. Once the data is studied and refined, we proceed to full-fledged development of the model. We train the model using various algorithms depending on the experiments conducted. The refined data from the first phase is fed into the model, and insights are derived.

TL;DR - It all depends on your business.

Some AI projects have taken us less than a month to implement, while some have taken more than a year to reach the deployment stage.

There is no one-size-fits-all when it comes to Artificial Intelligence. No two businesses are identical, and neither are AI solutions. The complexity and timeline of the AI project depend on different factors specific to your business - data architecture, existing systems, and overall infrastructure.

The first step is to identify which areas of your business need improvement. Once you have identified that, Maruti Techlabs' AI experts can recommend the best possible solution to solve your business problem.

An excellent question! Although the use cases of AI are many, there might be some scenarios when your business is not prepared to take advantage of artificial intelligence and machine learning solutions. Here are some of the reasons-

a. Data Quantity and Quality - Most AI solutions need vast data for training. If there is a lack of sufficient historical data, it becomes difficult to train the model.

Along with quantity, data quality is equally important. We evaluate and refine your data to determine the feasibility of your project early on in the discovery phase. The data needs to be clean and noise-free for AI model training.

b. Logistics involved in AI - AI implementation requires a great deal of patience to understand the financial investment and overall market landscape. It might sometimes be the case that traditional solutions offer better ROI than AI solutions for specific business use cases.