We’re not AI experts at W by ATB—but we do know some. We also know that our clients have questions about AI, like “what can it do to save me time or help my business?” and “how much do I really need to know about it?”

Since we’re committed to helping our clients with business and beyond, we sought out answers from an expert. 

Tanuvi Bali serves as Senior Manager, Data & AI at PwC, where she advises Fortune 500 companies on AI strategies. She was also named one of the top 25 women in tech by The Toast in 2025.

These are Bali’s tips to help women business leaders make the most of AI in their personal lives and in their businesses.

 

AI for personal efficiency

Bali is an avid user of AI tools both at work and beyond the office. “I don’t have a human assistant,” she says, “so I made a digital one.”

She highlights three uses of AI that can help any woman in business save time.

 

1. Sort your inbox.

“One of the things I dread most is looking at my inbox every morning,” says Bali, “so I use AI to organize my emails.” 

“I talk to Microsoft’s Copilot tool every few weeks or ten days,” she says. I say, ‘These are my priorities, make sure I see the high priority emails.’”

2. Accelerate writing.

She also uses AI tools to speed up her email writing—though not, crucially, to create the first draft. 

“I use Copilot to help me frame my emails,” she says. “The number one thing I do, I don’t let Copilot write it for me. I let it review or expand based on information I provide. I do a quick and dirty draft and Copilot cleans the language. I’m not asking Copilot to write something that might not be true, which has happened.”

When she prompts Copilot to refine her emails, she takes time to build a helpful prompt—one that describes the task, establishes context, and includes examples of the result she wants.  

“I define my tone, my way of writing, who I am, who I’m talking to,” she says. “If I give that context to Copilot it does a good job making it more or less professional as I want.”

Bali estimates that using AI to sort her inbox and help her write cuts her weekly time spent on email in half.

3. Summarize information (and don’t accept mediocre answers).

Bali’s job is research-intensive. She uses AI to speed it up.

“I made my own assistant in Copilot Studio which summarizes files and documents for me,” she says. “When I’m going into executive meetings and I have five things I know I need to talk about, I use Copilot to build that list. I do my own fact check, I give it sources I know are good. I don’t let Copilot do the research. I say, ‘look at this, read the file, summarize.’ I structure it well.”

Her AI research assistant, however, does not always knock it out of the park on its first attempt.

“Sometimes I actually don't like the response and I ask it to think again,” she says. “When you're using Chat GPT or you're using any of these generative AI tools, they sometimes say ‘I'm thinking’ and you can actually push it to think more. Say ‘I need a better response than that.’”

She also uses Copilot to take notes and transcriptions in meetings.

For all of these uses, Bali stresses that AI is not a substitute for human judgement.

“I don’t completely trust the technology,” she says. “There has to be a human in the loop. You can’t let it make decisions on your behalf. You still have to review its output.”

 

Using AI in your organization

Every business may already be using some kind of AI, says Bali, whether it’s an older form like machine learning or a newer one like ChatGPT. But AI may not be needed for everything.

“It’s important to understand whether AI will actually solve a problem in your organization and you’re not chasing a shiny object that everyone is talking about,” she says.

“Business leaders are getting pressured to embed AI into processes, but if the existing processes are incomplete or bad then adding AI just makes it an expensive bad process.”  

Bali divides business uses of AI into three levels.

1. Boosting everyday productivity

This is using the same AI tools Bali uses herself, like Copilot, ChatGPT and Gemini, across an entire business. 

“This is day-to-day productivity where you start using tools like Gemini or Copilot on inbox management or transcribing your meetings,” she says. “Or you’re using Copilot in Excel to do some simple calculations or you're using it on Word documents to create content.”

2. Embedding AI in business processes

This is using AI to boost the efficiency of a specific process within a business, like onboarding or IT. 

“Consider an IT service request,” says Bali. “Most are very common questions—’My password isn’t working,’ or ‘I can’t connect to the VPN.’ A business can build an AI agent that addresses these common questions and free up the time their IT team would spend on these level one tasks.”  

PwC has compiled a free public list of common use cases in this level of AI use.

3. Complete business transformation

The final frontier of AI use for organizations is completely changing the nature of a business with AI.

"It’s rare but not impossible that organizations will reach this stage.” says Bali. “We might imagine a content creation business—now you’re creating videos and pictures and you can put it on your website and the role of your creative team changes.”

 

Almost every business is using AI in level one today, Bali says, and many of her clients are involved in level two. 

“Not everything needs to be solved with AI. But you only get to know that when you understand the problem,” Bali says. “The question to start with is where do I see the most  amount of friction in the work I do on a day to day basis?’.

“Don’t fear AI. It’s not going to take your job. But people who know AI will fare better than those who don’t.” 

She offers three tips for leaders to promote successful AI adoption in their organizations.

1. Lead by example. 

Use the very tools you expect your workforce to adopt. When employees see leadership embracing AI in their own work, it builds credibility, reduces resistance, and sets the tone for a culture of experimentation.

2. Provide continuous sponsorship.

Don't just greenlight AI initiatives—actively champion them. Democratise access to tools early so your teams can start building familiarity and confidence from day one. Sustained sponsorship signals that AI is a strategic priority.

3. Recognise that AI ≠ IT.

AI adoption is not solely a technology conversation. When bringing AI into your organisation, ensure that business, risk, data, and technology all have a seat at the same table. This cross-functional approach is the only way to build a well-rounded AI portfolio that delivers real value.