The $0 Upfront Protocol

We Invoice Only What We Mathematically Deliver

This is not a retainer. This is not hourly billing. This is performance-based engagement with institutional accountability. Every claim is verifiable. Every number is auditable.

The Four-Phase Protocol

Phase I

Forensic Discovery

The Suddhi

We perform a comprehensive audit of your last 90 days of operational data. Every inefficiency, every manual intervention, every margin leak is catalogued and quantified. This 90-day average becomes your "Static Baseline" – the benchmark against which all improvements are measured.

90-day rolling average baseline

All metrics time-stamped and immutable

Prevents "market conditions" disputes

No assumptions. No guesswork. Third-party verifiable data.

Phase II

Architectural Deployment

Installing the Navratna Council

Our AI orchestration layer is deployed with surgical precision. A Navratna Council – nine specialized agents governing specific domains – is installed with full Human-in-the-Loop verification.

Human-in-the-Loop gateway until 99.9% accuracy

Multi-agent consensus (3 agents must agree)

No autonomous actions without verification

Zero disruption. Parallel deployment. Full sovereignty retained.

Phase III

The Measurement Delta

Mathematical Proof

We measure the verified efficiency gain over a 60-day observation window. The delta between your Static Baseline and the new operational state is documented with institutional rigor.

Before vs After comparison

Statistical significance testing

Full audit trail provided

Transparent metrics. Your data scientists can verify.

Phase IV

Performance Settlement

The $0 Upfront Logic

We invoice a percentage of the verified savings or revenue increase. If there is no measurable improvement, there is no invoice. Period. Our fee is a function of your success.

15-25% of first-year verified savings

Payment only after value delivered

100% downside risk absorbed by us

Our risk. Our conviction. Your results.

Sovereign Infrastructure Standards

Enterprise-grade governance for organizations that cannot afford AI failures.

Navratna Council

Multi-Agent Governance

For every critical task, three independent AI agents must reach consensus before any output is committed. This eliminates single points of failure and ensures institutional-grade accuracy.

This is not a ChatGPT wrapper. This is a governance architecture.

Executive Veto Gate

Sovereignty Standard

The Navratna Council operates within your ecosystem, but follows its own governance logic. Your team maintains Executive Veto, ensuring your sovereignty remains absolute while the AI handles the complexity.

Full autonomy with retained override authority – zero governance compromise.

Data Sovereignty

Zero Lock-In Guarantee

All agent logic, vector databases, and operational data reside on YOUR infrastructure (AWS, Azure, GCP, or on-premise). We architect the system; you own it completely.

If the engagement ends, your systems continue to function. No hostage situations.

Anti-Entropy Maintenance

Quarterly Re-Calibration

AI models drift. Business logic evolves. We perform quarterly re-calibration audits to ensure agent behavior remains aligned with your operational reality.

Sets the foundation for long-term performance-based relationship.

The Royal Guarantee

We only authorize engagements where the mathematical delta is undeniable. If our audit reveals a system that is already optimal, we will decline the engagement. We only move when Operational Certainty is guaranteed. Our conviction is not hope – it is institutional-grade precision refined through enterprise deployments.

INITIATE AUDIT SEQUENCE

Protocol Clarifications

What percentage do you charge on verified savings?

Typically 15-25% of first-year verified savings or revenue increase. The exact percentage is negotiated based on scope, risk, and engagement duration.

How do you establish the baseline?

We use a 90-day rolling average of your operational metrics as the Static Baseline. This average is documented and immutable – preventing any disputes about "market conditions" vs actual improvements.

What happens to my data if the engagement ends?

Nothing. All agent logic, vector databases, and operational data reside on YOUR infrastructure. We architect the system; you own it. There is zero vendor lock-in.

How do you prevent AI errors?

All autonomous outputs pass through a Human-in-the-Loop gateway during deployment. Additionally, our Navratna Council requires 3 agents to reach consensus before any action is committed.

What if the project does not deliver results?

Then you owe nothing. Our conviction in our methodology means we absorb 100% of the downside risk. If we do not deliver measurable value, we do not invoice.