Hyperbots Brings Agentic AI Co-Pilots to Finance Operations
Hyperbots, headquartered in New York and Bengaluru, is launching its agentic AI co-pilots for enterprise finance and accounting. Founded in 2023, the company targets end-to-end processes across procure-to-pay, order-to-cash, expense management, and analytics and reporting. In 2025, it was selected among the top Indian startups for the AWS Generative AI Accelerator.
What Makes This Different
Most tools digitize documents. Hyperbots goes further with a multimodal prototype that reads tables, invoices, contracts, and accounting logic, then acts. The model is built to mirror how finance teams reason, so it can handle tasks that usually needed human judgment.
How the Agentic System Works
- Invoice and payment matching: Matches final invoices to POs and receipts, flags mismatches, and routes approvals.
- G/L code recommendations: Suggests account codes based on historical patterns and current context to keep policy consistency and cut rework.
- Payment condition evaluation: Assesses payment terms and supports configurable approval workflows to help manage cash flow timing.
These co-pilots operate across key finance functions and automate steps that typically sit between systems and people. The goal is fewer exceptions, faster approvals, and tighter alignment with accounting policies.
Where It Fits for Finance Leaders
If you run P2P or O2C, this is built for high-volume, rule-heavy, exception-prone work. You keep control via approvals and policies while shifting repeatable judgment calls-like coding and matching-into the background.
- Start with invoice matching and G/L coding, then extend to expense workflows and reporting checks.
- Define policy rules up front; let the co-pilots recommend, you approve.
Metrics to Watch
- Invoice exception rate and rework
- Approval cycle time and on-time payments
- G/L coding accuracy and consistency
- Close timeline impact and manual journal reductions
Market Position and Funding
Hyperbots represents a broader move in enterprise AI toward specialized agents built for specific business workflows. The company has venture backing from Arkam Ventures, Athera Venture Partners, JSW Ventures, Kalaari Capital, and others. It reportedly raised a $6.5 million Series A to scale go-to-market in the U.S., deepen R&D, and expand its agent lineup.
Beyond core finance teams, Hyperbots co-pilots are already used in healthcare, manufacturing, semiconductors, EV infrastructure, and marketing services. Over the next 12-18 months, the company plans to extend beyond procure-to-pay into additional finance-centric capabilities.
Practical Next Steps
- Pick one high-volume process with clear rules (e.g., three-way match) and set a baseline for exceptions and cycle time.
- Map approval paths and coding policies so the system can apply your logic out of the box.
- Pilot with a subset of vendors or business units, then expand based on measured results.
Exploring broader options for finance automation and training? See a curated roundup of AI tools for finance.
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