Outsmart BluSmart with AI Auditor

How Electricity Bill spilled the beans? How AI Auditor could catch before it happened?

EV industry is having roller coaster rides. On one side there are tremendous export & domestic opportunities. On other side, there are tariffs, challenges & bad news like BluSmart. Once such news hits – it causes challenges for other investors & founders also in Industry

Many investors are reporting that they were approached by BluSmart, but something felt “not right”. So they had passed. Moreover imagine investors in Blusmart – their loss alone is 4,332 crores.

Great but what if this could be prevented even before it happened? We possibly could have saved erosion of 8500cr.

Take Board of Gensol & stakeholders there – a total direct & indirect loss of whopping 8500cr. While people talk about ethics, regulations – I share a solution side. With AI

Catching 8500cr of loss with AI Auditor

Let’s first see how human Auditors caught it. This is not complete picture, but I just paint how a foundation if laid in EV startups & companies puts companies in different league. Which are well guarded.

Understanding BluSmart loss first

How Electricity bill spilled the beans for Blusmart?

An NSE official visited Gensol’s Chakan plant in Pune, prompted by suspicions about the company’s operations. The official asked for electricity bills which had meager electricity bill for just ₹1.57 lakh.(approximately 1,200 kWh at ₹10.50/kWh).

A legitimate EV manufacturing facility, supporting Gensol’s claimed ₹1,297 crore in sales and 6,400 EVs, would require significantly higher electricity consumption (typically tens of thousands of kWh/month). Some people claim 50,000 kWh/month. Thus appx 40 lakhs.

AI Reasoning to catch with AI Auditor

What this needs is AI Reasoning. Our team Vaayu proposed such systems based on Artificial General Intelligence(AGI). We built AI CFO & AI M&A experts.

Hire AI Employee for CEO office

Central theme is – an enterprise brain – which can digest enterprise internal & external data. While Disha is trained for specific domains & roles, fine tuned. Eg. to catch frauds.

How much would company pay to save $1B loss?

Consider a 8500cr or $1B loss. Let’s say it can happen just once in 50yrs of company’s existence. How much should a company pay per year to guard against this. $50k, $100k $200k?

Central idea remains same – AI can have great effects on companies Enterprise Value, top lines & bottom lines. However these must not be built retrospectively. But rather pro-actively.

How AI Disha & AI Reasoning could catch BluSmart with a bill & AI Auditor?

Let’s first understand – how human Auditor worked in this case. An Auditor will have to rely on logical reasoning to deduce something. Eg. Electricity Bill is much lower than expected. Auditor combined this with world knowledge of domain. i.e the Bill is far far less than a manufacturing unit. He then can combine this with different data internal & external to build a hypothesis. Eg. Market sentiments, order of EVs withdrawn. All these world views get inter-related within human mind.

This is easy for humans with evolution of 4B years. But to make AI work like that is very very tricky & needs expertise, skill, capital & people. LLMs that you see are mere “Pagers” of smart phone eras. LLMs are even called dumb. They are just predictor of next “word” than applying AI reasoning.

Vaayu, our startup, filed patent application about combining various world views in 2022 even before the chatGPT became popular.

Imagine the power businesses get if they get tech which is more powerful than LLMs/chatGPT. These can supercharge growth of companies.

LLMs are dumb – still powerful than humans

Imagine a person who crams 10k sentences. He is given a task of guessing the next word that you say. Because he has seen 10k sentences, he can guess what word would be next.

Eg. Let’s say “An apple a day, ……….”. Complete this step.

This person can fill above sentence, without knowing & understanding what it means. In that sense LLMs are dumb.

See another example of LLMs dumbness. If I ask the same person – what will happen – if a person eats more fruits. For humans you can reason – if an apple a day, keeps person healthy. You may infer that a person who eats more fruits is likely to be more healthy. (With caveats & nuances).

Though Deepseek, Grok, Gemini & OpenAI O1 possess reasoning, but these need to be adapted to business usages.

Staying ahead with AI Reasoning

You may argue – that AI is thus for only larger Automotive companies. That’s not entirely true. Unless you start with basic foundation – it’s very difficult for C-suite to get hang of things creatively.

C-Suite executives need to think differentially to stay ahead. You can well start with AI foundational stuff like for increasing Sales & Marketing. Once foundation is set – you may decide which features you really care about. You may get very creative which lets you outcompete the market.

AI Foundation for Automotive

C-Suite should set an AI vision. Start with AI tools for Automotive which have direct impact on Sales & Profits. Once you get hang of AI tools, how it works, your digital system are ready – you may use AI to your advantage in the way you wish.

As the EV & Automotive market makes fast moves, you need agile & fast systems to capture highs & lows of market.