Patented · Risk-Distributed Resource Management

Meet ARC — the Risk-Distributed Operations Engine.

ARC converges every operational resource — people, tasks, production, maintenance, service and finance — into one balanced scorecard, and surfaces risk before it costs you.

Granted patent IN 493482  ·  in force to 2035  ·  18 years R&D
42 → 80
GM operations score, first 30 days
~95%
reporting discipline (vs 75–85% typical)
↓30%
of payroll adjustments surfaced as manual punch fixes
1 : 1.25
room-to-staff ratio at full luxury service
The problem

Most operations software reports the loss after you've already paid for it.

Every institution runs on resources — people, time, inventory, money, attention — and manages them in silos. Each system reports only after the period closes, by which point the labour was already mis-allocated, the food cost already leaked, the guest already left unhappy, the sales month already half-lost.

Hospitality solved a slice of this for price — the revenue management system watches demand and acts ahead of the human. Everything else the operation does was left to silos and lagging reports. That gap is what ARC was built to close.

The model

What is Risk-Distributed Resource Management?

Risk-Distributed Resource Management (RDRM) is a patented operating model in which an organization's resources are continuously matched to real-time need, surplus is rebalanced rather than allowed to overstretch the system, and operational risk is distributed and surfaced at every stage — with the responsible person notified — before it becomes loss.

Protected under granted Indian Patent No. 493482 · Inventor: Arun Puri · In force through 2035

What ARC does today

Four things, and we claim exactly these four.

ARC — Adaptive Resource Convergence — is the first commercial engine built on the RDRM patent. Here is what it does in production right now.

Converge

One balanced scorecard

People, operations, finance, customers and production pulled into a single automated scorecard — the cross-department picture organizations normally assemble by hand from a dozen tools.

Detect early

Risk before the period closes

A sales-pacing shortfall forming, a food-cost variance opening, a workload mismatch building — surfaced while there is still time to act, not in next month's report.

Direct action

Routed to the right owner

When a measure deviates, ARC routes the alert to the specific person responsible for fixing it — detection attached to ownership, not a number nobody acts on.

Compute allocation

The optimal roster, calculated

The Workload Balancer computes manhours required vs available and matches employee grade to task grade — calculating how the work should be allocated, autonomously, without a human working it out by hand.

Proof in 30 days

Live at The Raj Palace, Jaipur.

A 72-room luxury heritage property. In its first month on ARC, the engine surfaced costs and risks that experienced managers — watching closely — could not see. Including a sales-pacing shortfall caught early enough for leadership to act on directly.

Running at a 1:1.25 room-to-staff ratio — a level standard luxury operations call unthinkable.

42 → 80
GM morning-operations score, in 30 days
~95%
manager reporting discipline reached
up to 30%
of payroll adjustments exposed as manual punch corrections
1
hidden sales-pacing shortfall caught and recovered
Where ARC sits

The operations-side counterpart to the Revenue Management System.

The RMS

Lead-risk intelligence — for price alone

A revenue management system watches demand in real time and adjusts rate ahead of the human. It proved the concept is worth paying for. But it only ever touched one resource.

ARC

The same logic — for every operational resource

ARC applies real-time, lead-risk intelligence across labour, tasks, production, service and compliance, and converges them into one performance picture. AHALTS provides the rails and the proven measures; each institution runs its own route.

Honest by design

Where the line is — what we do, and don't yet, claim.

In a market full of AI claims, the thing worth your trust is a company that tells you exactly where the edge of the build is.

Proven and live today

  • Automated convergence into one balanced scorecard
  • Early detection of operational and financial risk
  • Directed alerts routed to the responsible owner
  • Autonomous computation of optimal allocation
Defensible by grant

Built on a granted patent — not a slide.

The Risk-Distributed Resource Management model is the product of eighteen years of research and development, protected by a patent granted by the Indian Patent Office and already running in production. A competitor can copy a feature in a quarter. They cannot copy a granted patent, eighteen years of iteration, and a model proven in the field.

IN 493482Granted patent no.
Jan 2024Date of grant
2035In force through
18 yrsR&D behind it
Inside the engine

Everything that runs on the scorecard.

One platform, dispensing the tools an institution otherwise buys and stitches together by hand.

KPI Dashboards

Role-specific dashboards tracking strategic initiatives across every level of the organization.

Balanced Scorecard

Financial, customer, internal-process and learning perspectives in one converged view.

Strategy Maps

Rank and visualize your primary goals, then convert them into day-one actions.

Workload Balancer

Role and skill optimization, cost control and time management computed automatically.

Workflow Automation

Automate tasks, assessments, approvals and custom alerts across the operation.

Data Integration

A unified source of truth, built to handle large volumes from every system of record.

Alerts & Notifications

Threshold-triggered alerts to the right owner the moment a KPI moves.

Performance Reports

Auto-generated reports in PPT, Word and Excel, distributed to stakeholders.

Access Control

Role-based permissions governing dashboard and feature visibility.

Beyond hospitality

Industry-agnostic by design.

ARC applies to any resource-intensive institution. What gates a deployment is integration with the systems you already run — not the kind of institution you are.

Questions

Frequently asked.

What is Risk-Distributed Resource Management?
RDRM is a patented operating model in which an organization's resources are continuously matched to real-time need, and operational risk is distributed and surfaced at every stage — with the responsible person notified — before it becomes loss. It is the model behind ARC, protected under granted Indian Patent No. 493482.
What is ARC?
ARC (Adaptive Resource Convergence) is the first commercial engine built on the RDRM patent. It converges every operational resource into a single balanced scorecard and surfaces operational and financial risk, with directed action, before it becomes cost.
How is ARC different from a Revenue Management System?
A revenue management system applies real-time, lead-risk intelligence to room rate only. ARC applies the same kind of intelligence across all operational resources — labour, tasks, production, service and compliance — and converges them into one performance picture.
Is ARC autonomous?
ARC autonomously computes optimal resource allocation and surfaces risk early with directed alerts. Autonomous enforcement — acting without a human committing the change — is on the roadmap, not yet claimed.
What results has ARC produced?
In a live 30-day deployment at The Raj Palace, Jaipur, AHALTS reports the GM morning-operations score rising from 42% to 80%, reporting discipline reaching about 95%, the exposure of up to 30% of payroll adjustments tied to manual attendance corrections, and the early detection of a sales-pacing shortfall that leadership acted on.
Which industries can use ARC?
ARC is industry-agnostic by design — hospitality, healthcare, financial services, manufacturing, education and public services. The main requirement for a new deployment is integration with the systems you already run.

See what ARC finds in your first 30 days.

Book a walkthrough, or take the free trial. Each month we publish a documented 30-day outcome from a new deployment — judge us by evidence.