The more the system demanded proof of work,
the less reliable that proof became.
ARC was designed to give organizations visibility into distributed field teams. But the system's demand for real-time reporting competed directly with the work itself — under execution pressure, agents began batch-updating from memory. What looked like operational data was partly reconstruction.
One platform. Seven lifecycle stages.
ARC wasn't a tracking app — it was a workforce operating system. From initial onboarding to final payout, every stage of an agent's work lifecycle ran through one governed platform.
Admin onboarding · 7-stage governed setup sequence
Getting to the field is itself a governed process.
An agent doesn't reach a customer until the organization, products, training programs, and performance frameworks are in place. ARC sequences and verifies each step before fieldwork begins.
Training effectiveness · location-wise induction completion tracking
Performance designed, not assumed.
Balanced scorecards weight KPIs across Product, Operational, Financial, and Services categories — each adding to 100%. Targets are assigned, tracked, and approved per agent.
Balanced scorecard · 4 KPI categories weighted to 100%
Target approval · per-agent progress and pending review
Where the system meets reality.
Agents update target progress, log calls and visits, upload proof, all geo-stamped — under the execution pressure that the problem section named. The field app had to serve their workflow, not compete with it.
Agent home · KPIs, performance overview & AI assistant
Target update · progress logging with geo-verified proof
Trust in a distributed workforce is a design problem.
ARC verifies agents through biometric face recognition, matched geo-location, timestamped activity, and human-written context. Verification that respects operational reality — "Customer was not available at the location" is as valid a record as a completed visit.
Agent verification · biometric + geo-match + timestamp + comment
A distributed workforce made into
a single decision surface.
The command center turns field operations into executive intelligence — live workforce distribution across India, regional headcount, attendance and productivity scoring, expense breakdowns, and a real-time alert stream that surfaces anomalies as they happen. This is where the proof-of-work insight resolves: instead of demanding more from agents, ARC detects what's real at the system level.
Command center · live workforce distribution, regional KPIs, alerts, expenses, and productivity scoring
Instead of demanding more proof from agents, ARC watches for anomalies at the system level — login failures, onboarding flag mismatches, location discrepancies, signature inconsistencies. Detection over demand.
Performance connects to money through design.
Payout templates by channel, function, role, and hierarchy close the loop from field execution to compensation — with approval workflows between governed performance and released payment.
Payout configuration · channel type, function, role, hierarchy · run payroll
From tracking the workforce to understanding it.
ARC shipped across web and mobile as a complete workforce operating system — onboarding, training, target management, field execution, verification, governance, and payout. Adopted across financial organizations and municipal operations, including BMC Mumbai.
Decision support
Lifecycle governance
Field cockpit









