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.
Turn your company into an AI‑native organization.
We map how your company actually works, help you build AI infra, and deploy solutions.
Our teams can deploy solutions with
〉The gap[02/09]
02 / THE GAP
AI pilots are everywhere. Scaled impact is not.
Companies are deploying disconnected tools and pilots without knowing where AI belongs or what value it creates. Employees fill the gaps with their own tools, duplicating work and crossing guardrails.
〉Why we exist[03/09]
Every business will become AI-native. The question is whether it happens by design or by accident.
〉What we do[04/09]
How we work.
01 / EDUCATE
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
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
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
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
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.
〉Proof[05/09]
What changed after.
They cut our order processing time by more than half. Same team, a lot more output. It paid for itself inside a quarter.
For the first time I can see what every AI dollar returns. We killed the spend that did nothing and put it where it works. ROI is up and I can prove it.
〉Who it's for[06/09]
Explore by role.
Choose your role to see where we start and what changes first.
Choose your role
Click, scroll, or use arrow keys
[01/06]
CEO / PRIORITY
COO / FLOW
CFO / RETURN
CTO / ARCHITECTURE
CHRO / CAPACITY
BOARD / READINESS
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.
Tie AI spend to returns you can measure.
We make the cost, adoption, and business impact of every AI initiative visible in one plan.
Decide what to build, buy, and govern.
We connect use cases to the infrastructure, access rules, and controls needed to run them safely.
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.
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[07/09]
Founding team.
Two co-founders, one founding operator, plus a team of engineers on call from premier engineering institutes.
Co-founder
Ashish Muralidharan
Led internal AI transformation at Microsoft. Shipped Copilot in Excel. Consulted for Coinswitch and Lemmon. Lectured at IISc. Previously Amazon and Meesho; IIM Calcutta.
Copilotshipped in Excel at Microsoft
Co-founder
Dhaval Chokshi
2x founder. Ran the internal AI transformation mandate at Opella. Previously Mosaic Wellness, magicpin, and Bright Money. Lectured at GrowthX and Masters Union.
2xfounder
Founding team
Ankush Takyar
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→1builder
Experience across
Lemmon
Lemmon
〉FAQ[08/09]
Things people ask us.
Consultants hand you a deck and leave. We hand you working systems, and the people on your team who can run them. We stay until it is actually used.
No. Most companies do the full transformation, education through governance. Some stop after the strategy report. Some only want the applications and the governance. We prefer to do all of it, but we scope it to you.
No. We map work, not people. Answers are never tied to a name. Leadership sees themes, not individuals. It is written into the contract.
The strategy report comes in weeks. The first AI build is usually live within two to four weeks after that.
Fixed fee. It depends on your size and how far you want to go. One call and we give you a real number.
Yes. NDA and DPA before we start. Nothing trains a public model. We hand everything back and delete it on request.
〉Start[09/09]
Your companyoperationsteam deserves AI that belongs.
In one working session, we map how your company operates and identify where AI can create measurable value. You leave with a prioritized opportunity map and a clear next step.
Talk to the founder →