We turn AI ambition
into AI operations
The platform arrives already knowing how your industry runs. Your people and AI agents work one queue, under your own operations lead — and the outcome is written into the contract. If the number doesn’t move, we go back in at our cost.
The first workflow goes live in weeks, not quarters.
The org chart doesn’t change. The team does.
Built by a founder who co-founded ShopClues — one of India’s first unicorns — and scaled it to 50M+ customers. Now solving the harder problem: making enterprise AI actually run.
What CygnusAlpha Does
It arrives with your industry already in it
Your thresholds, policies and exceptions live as structure the system enforces — not prose inside a prompt. Your operations lead edits them directly. No code. And it gets deeper with every deployment.
See how the rules hold ↓Agents and people, one queue
One of your own operations leads supervises the mixed team and sets the policies. No engineering team needed to run it day to day.
See where it sits ↓Your outcome, in our contract
Resolution rate, escalation rate, cost to serve. Defined in the contract. If the number doesn’t move, we go back in at our cost.
See what you get ↓We don’t leave a report behind.
We leave infrastructure that knows how the enterprise runs.
Eighteen months. One operation.
Customer service and order operations for a consumer e-commerce business. Live today.
Half of them were the client’s idea.
It repeats. It crosses departments. And it has always scaled with headcount.
Each function buys tools against its own KPI. The work runs across all of them — and nobody owns the handoff.
Measured in volume, not milestones.
Finance put the order on hold. Nobody told sales. Context was lost at every handoff.
That line has never bent.
Most of the people, and most of the cost, live in this shape.
Every function bought its own AI. The work runs straight across them.
Software is accountable for software. Delivery is accountable for delivery. Nobody is accountable for the outcome.
One piece of work · one customer outcome · four handoffs · nobody’s KPI
of employees now use AI at work.
of organizations are positioned to translate that activity into meaningful business outcomes.
of the value-creation potential is often trapped in the silos between functions.
Source: EY, How agentic AI can help unlock enterprise value at scale
Every column improved. The outcome didn’t.
Think of your operation as a board game. It has exactly three parts.
We stopped asking AI to remember the rules. We built them into the board.
What may move — and who may move it.
Written down as structure the system enforces. Not prose. Not a prompt.
In chess · how the pieces moveWhere every piece sits, right now.
One live picture of the operation — not five systems to reconcile.
In chess · the positionEvery move ever made.
Who made it, when, and on what evidence. It only ever grows.
In chess · the move listAn illegal move isn’t discouraged. It’s impossible.
When this is done well, the organization’s wisdom moves into the walls of the enterprise.
The rules aren’t requested. They’re enforced.
One rule — only Finance may release a credit hold. Two ways to hold it.
A prompt is a request. It usually works — and you find out from the customer when it doesn’t.
The state can’t change except by a permitted move. The agent is told what it may do instead, and carries on.
Your systems keep the records. We run the work between them.
On top of your systems, never instead of them. They stay the source of truth. CygnusAlpha reads from them, writes back, and holds the three things none of them do.
The rulebook
How this business runs, written down as structure — not as prose inside a prompt.
The live picture
Where every piece of work stands right now, across all your systems at once.
The record
Every action — by whom, on what evidence. It only ever grows.
A new hire learns three ways. So does this.
Not a model that gets better at reasoning. An operation that gets better at its own job.
What’s happening right now. The briefing a new hire gets on day one.
expires on a dateA supervisor’s decision, captured. The coaching that stops the same mistake twice.
named reviewerWhat the operation notices about itself, distilled overnight. The experience nobody teaches you.
reinforced over timeEvery entry is activated by a named person and kept as readable text, with where it came from. Superseded entries retire; nothing is silently overwritten. Nothing learns from an unchecked call.
Judgment used to leave with the person who had it. Now it stays.
Not a copilot. Not a platform you license and run yourself. The operation that owns the number — on software you don’t have to staff.
Platforms hand you powerful tools and step back at go-live. Agents inside one department stop at that department’s wall. The work that matters crosses both.
CygnusAlpha sits on top of the systems you already run and operates the work between them — with your own operations lead in charge, and the outcome written into the contract.
The first use case proves it. The second and third run on the same foundation.
The Platform
It arrives with your industry’s rules already in it. Your house rules go on top.
Your systems of record stay in charge. Nothing gets ripped out.
The Deployment
Forward-deployed engineers connect your systems, write down how the work actually runs, and get the first workflow live.
Not a six-month integration. Not a report left behind.
The Operation
Agents and your people work one queue. Your operations lead supervises, approves rule changes, and moves the line as the AI earns ground.
If the number in the contract doesn’t move, we go back in at our cost.
Agents get cheaper every month. Your rulebook gets deeper.
The agents are interchangeable, and the price of what they can do keeps falling. How your business runs is not interchangeable — and it only accumulates.
Any one swaps for any other.
Only yours. Deeper every month.
One is bought by the pound. The other has to be accumulated.
Built for operations-intensive businesses with a mandate to make AI real.
Retail and e-commerce. Industrial and manufacturing. Regulated service operations. If a large share of your cost sits in work that repeats, crosses departments and has always scaled with headcount, this is for you.
Self-qualify in 30 seconds. If you’re on the left list, book a conversation. If you’re on the right, we’ll point you in a better direction.
This is for you if:
- A large part of your cost sits in operations that still run on people, email and spreadsheets
- The work repeats, crosses departments, and has always scaled with headcount
- You have a mandate to make AI real, and no team that can operate it in production
- You want someone accountable for the outcome, not a tool handed over at go-live
- You can name the number you want moved
This is not for you if:
- You’re looking to replace your existing systems
- You want a chatbot or a single agent. We’re not that.
- You want software you’ll staff and operate yourself. We’re not that either.
Not ready for a conversation? Start here.
Three reads on how we think about running AI in production — the rules, the people, and where deployments actually break.
The Wrong Debate: Deterministic vs. Probabilistic Misses the Point
The real question isn’t which kind of automation to use. It’s how to run both under the same rulebook.
Read →The Governance Moment We’ve Been Avoiding
Why most enterprise AI is quietly running up a debt in its rules — and what happens when it comes due.
Read →The AI Governance Playbook
For risk and compliance teams: how to design escalation paths, review gates and audit trails before AI reaches production.
Read →Find out whether there’s a fit.
A working session with our team. We look at where your operating cost actually sits, which of it repeats and crosses departments, and what an accountable AI operation would change about the number.
No deck. No pitch. A working session.
Book a conversation → For CEOs and COOs of operations-intensive businesses from $50M revenue upward — in retail and e-commerce, industrial and manufacturing, and regulated service operations.