How we work.
- 01 Educate
- 02 Discover
- 03 Report
- 04 Infrastructure
- 05 Applications & governance
01 / EDUCATE
STAGE 01 / 05
First we teach your people to use AI on their own work. Not a lecture.
- Hands-on sessions for every team.
- Hackathons. Build something real in a day.
- A bounty board. Submit a project after any session and we help you ship it.
Literacy goes up. And your own people start showing us the real problems.
02 / DISCOVER
STAGE 02 / 05
Then we find the work worth changing. We talk to everyone, not just the managers, in formats people actually respond to.
We spend the most time with the people who bring in the revenue or carry the cost. We learn how they really work, and where the hours go.
03 / REPORT
STAGE 03 / 05
You get two things you keep. An AI readiness map, showing where you stand, team by team. And an AI roadmap, showing what to build, in what order, and why.
Together they are your AI strategy. Short enough for the board to read.
04 / INFRASTRUCTURE
STAGE 04 / 05
Then we lay the foundation. Infrastructure first, always.
- Managed AI infrastructure. An agent for every person, on the tools you already use.
- The structure for your agents to work together, not trip over each other.
- Cost and ROI tracking from day one.
- AI policies and access rules your compliance team signs off on.
05 / APPLICATIONS & GOVERNANCE
STAGE 05 / 05
Now we build. Custom applications for your business, made to bring in more revenue or cut your cost.
On top of each one we put governance. Access controls, observability, a check on quality. Then we stay until people actually use them. We finish at adoption, not launch.
Book the first session →
Explore by role.
Choose your role to see where we start and what changes first.
Choose your role
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- 01 CEO
- 02 COO
- 03 CFO
- 04 CTO
- 05 CHRO
- 06 Board / Investors
Put AI investment in the order the P&L can feel.
We identify where AI can move revenue, cost, and speed, then sequence the work by measurable value.
Next role →
Find the processes that quietly bleed hours every week.
We map the real handoffs, exceptions, and repeat work, then show where AI removes friction first.
Next role →
Tie AI spend to returns you can measure.
We make the cost, adoption, and business impact of every AI initiative visible in one plan.
Next role →
CTO / ARCHITECTURE
[04/06]
Decide what to build, buy, and govern.
We connect use cases to the infrastructure, access rules, and controls needed to run them safely.
Next role →
Take repeat work off overloaded teams without losing judgment.
We find the work AI should absorb and build the literacy people need to use it with confidence.
Next role →
BOARD / READINESS
[06/06]
See whether the company is AI-ready or simply AI-active.
We turn scattered experiments into a clear readiness view, investment sequence, and governance plan.
Founding team.
Two co-founders, one founding operator, plus a team of engineers on call from premier engineering institutes.
Ashish Muralidharan
Co-founder
Led internal AI transformation at Microsoft. Shipped Copilot in Excel. Consulted for Coinswitch and Lemonn. Lectured at IISc. Previously Amazon and Meesho; IIM Calcutta.
Copilot shipped in Excel at Microsoft
Experience across
- Microsoft
- CoinSwitch
- Lemonn
- IISc
- Amazon
- meesho
- IIM Calcutta
Dhaval Chokshi
Co-founder
2x founder. Ran the internal AI transformation mandate at Opella. Previously Mosaic Wellness, magicpin, and Bright Money. Lectured at GrowthX and Masters Union.
2x founder
Experience across
- Opella
- Mosaic Wellness
- magicpin
- Bright Money
- GrowthX
- Masters' Union
- Aeliya Marine
Ankush Takyar
Founding team
Experienced startup operator who has built and scaled businesses across Uber and WinZO. Led 0→1 products, owned P&Ls, and operated across product, growth and strategy. Now leads client delivery and AI product execution at Celeco. BITS Pilani; IIM Calcutta.
0→1 builder
Experience across
- Uber
- WinZO
- BITS Pilani
- IIM Calcutta