From Tools To Teammates: How Dayzero Is Building The Future Of AI

Artificial intelligence is no longer just about tools that assist humans. It is entering a new era where AI can stand shoulder to shoulder with people as full-fledged colleagues. At the forefront of this shift is Dayzero AI, founded by Alankrit Utkarsh, a company creating “AI employees” that do not just support tasks but take ownership of them. In this exclusive conversation, Alankrit & Divyansh (his cofounder & CTO), share how Dayzero AI is redefining work by embedding intelligent, multi-sensory AI agents directly into business operations and transforming the way organisations think about teams and productivity.

Q1. Let’s start with the big picture, what is Dayzero AI and what problem are you solving?

Alankrit Utkarsh: Dayzero AI is all about creating professional AI companions, intelligent, autonomous digital team members who think, act, and collaborate like your most reliable colleagues. We help companies do more, faster, without increasing headcount, by embedding AI directly into operations. They don’t just assist. They execute. Across operations, customer support, HR, marketing, and more.

Growing companies and enterprises are under immense pressure to deliver more with fewer people, tighter timelines, and rising complexity.

Traditional automation only handles fragments. Hiring more people adds cost and delays. Most AI tools are shallow, siloed, and hard to trust.

Q2. Your approach sounds different from typical AI tool companies. How is Dayzero AI unique?

Divyansh Dwivedi: Each AI employee is multi-sensory - they can read, write, listen, talk, watch, and create. They work together in multi-agent teams to execute complex workflows end-to-end, just like a real department would. Keeping the nature of our clients, we have engineered for scale, modular & contract-first architecture with horizontally scalable services, resilient orchestration, and secure, observable-by-default operations.

Q3. What inspired you to start Dayzero AI?

Alankrit Utkarsh: I saw enterprises struggling with the same challenge, increase output without proportionally increasing costs. We realised the future wasn’t just “AI as an assistant” but AI as a full-fledged team member who could deliver measurable impact.

Q4. Your flagship products, like Kathy AI and Dr. Aayu, are showing impact. Could you share how they work in real life?

Alankrit Utkarsh: Take Kathy AI - she’s deployed in a health-tech company monitoring 300+ employees, 10,000 daily interactions, and hundreds of data points. She doesn’t just report numbers; she tells you why something’s underperforming and how to fix it. Dr. Aaryu has shown early signs in reducing the diagnosis time by 30%. This will aid in freeing up doctors’ time, enabling them to address more patients.

Q5. You’ve also built AI R&D teams for the alco-bev industry and WORX for marketing. How adaptable is your model?

Divyansh Dwivedi: Extremely. Once we deeply understand a business, we design AI employees specific to their workflows, whether that’s mixologists and supply chain experts for alco-bev, or 21 specialised marketing agents for agencies.

Q6. How do you operate? And what’s the broad process of your working?

Alankrit Utkarsh: You can’t automate what you don’t understand. We walk in, sit with teams, spend time in their workflows, observe, diagnose, and only then design. Sometimes the solution isn’t AI, it’s fixing a process or adding clarity. And we aim to solve their problems first, not forcefeed AI. We aim to keep it incredibly personalised and modular at the same time. We're a full stack company, serving clients at all stages of their automation journey, from LLM training to complete software delivery.

Q7. What’s the biggest impact Dayzero AI has delivered so far?

Divyansh Dwivedi: One client cut payroll costs significantly by removing underperformance identified by Kathy AI while improving productivity. Another reduced planning, strategy & creative writing timelines by 70–80% using WORX. We focus on results that can be measured in both efficiency and cost savings.

Q8. Where do you see AI employees going in the next five years?

Divyansh Dwivedi: We believe AI employees will become standard in enterprises, forming entire AI departments that evolve alongside the company. Businesses won’t just hire humans and use tools, they’ll hire humans and AI teams together.

Q9. Any advice for companies just starting their AI journey?

Alankrit Utkarsh: Don’t start with AI, start with understanding. Know your bottlenecks, your processes, your people. Then decide where AI can truly make a difference.

Q10. What’s next for Dayzero AI?

Divyansh Dwivedi: We’re expanding into more sectors, building AI employees that can handle increasingly complex, multi-departmental tasks. The goal is simple, create AI organisations that work seamlessly alongside human one.