Troopd builds agentic colleagues—AI workers that own business roles end to end, starting with Audit Narayan, an AI Compliance Officer for Indian labour law. Unlike tools or assistants that hand work back to humans, these colleagues monitor systems, execute workflows, and escalate only decisions requiring judgment. The platform runs on a shared governance layer with full audit trails, enabling new roles to be deployed as configuration.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses still rely on manual effort for compliance-heavy functions, despite decades of software and AI assistants. Software merely records work, and assistants explain rules but pass the task back to humans, leaving the operational burden unchanged.
Solution
Troopd provides agentic colleagues that own entire business roles end to end, replacing manual workflows with accountable AI workers. Each colleague encodes the rules and obligations of its domain, connects to existing systems, and performs daily monitoring, review, and execution tasks autonomously. The first live colleague, Audit Narayan, serves as an AI Compliance Officer for Indian labour law, recomputing payroll and statutory checks against current regulations. Every action is traceable and governed, with human approval required for judgment calls and exceptions, ensuring authority remains with the team.
Target Audience
Primary customers are mid-to-large Indian enterprises that must manage payroll and statutory labour law compliance across multiple states and union territories, as well as organizations seeking to reduce reliance on manual compliance headcount.
Features
- Audit Narayan delivers 100% audit-ready findings with every issue cited to the specific legal rule it violates
- Daily payroll recomputation covers PF, ESIC, PT, LWF, overtime, and deductions across all 28 states plus 8 union territories
- Encoded domain depth includes the 2025 Code on Wages, minimum wage, bonus, gratuity, and equal remuneration rules
- Proprietary execution layer provides continuous monitoring, full-coverage review, and end-to-end workflow execution with complete audit trails
- Human approval model routes edge cases and judgment calls to staff while the agentic colleague handles routine work