Ready to Deploy Capabilities
Hyperbots Co-pilots are ready-to-deploy solutions with pre-trained agents, pre-built ERP connectors, and no-code configurability, enabling rapid setup tailored to company needs.
Key Features
Pre-trained agents for instant readiness
Hyperbots Co-pilots come with pre-trained agents, enabling immediate functionality across tasks without the need for extensive initial training.
Pre-built ERP connectors
Co-pilots integrate seamlessly with major ERPs through pre-built connectors, reducing setup complexity.
Rapid configuration without coding
Configurations specific to a company’s needs can be completed quickly using simple UI-based tools, eliminating the need for custom coding.
Quick User Acceptance Testing (UAT)
Once company-specific configurations are completed, UAT can be conducted within 1-2 weeks in a UAT environment to validate the setup.
No third-party system integrator needed
Deployment is handled entirely by the Hyperbots team or the customer, without requiring external integrators, simplifying and accelerating the implementation process.
Comparison with competition
FAQs: Ready to Deploy
What do you mean by "ready to deploy"?
Hyperbots Co-pilots are pre-trained, pre-built AI solutions designed for rapid integration and immediate functionality. They require minimal customization, enabling businesses to start using them with high accuracy from day one.
What factors influence readiness to deploy for CFO office AI solutions?
Key factors include pre-trained AI agents, pre-built ERP connectors, no-code configurability, robust security, and alignment with finance-specific processes. These factors minimize setup time and ensure seamless integration into existing workflows.
How do pre-trained agents help in reducing deployment time?
Pre-trained agents are equipped with domain-specific knowledge, eliminating the need for extensive training during implementation. For example, the Invoice Processing Co-pilot is pre-trained on millions of invoices, enabling it to perform tasks with near-perfect accuracy from the start.
What happens to deployment time for other providers who may not have pre-trained models?
Solutions without pre-trained models often require extensive data collection, training, and fine-tuning, leading to prolonged deployment timelines. This can delay the realization of ROI and require significant effort from both the provider and the customer.
How do pre-built connectors with ERPs help in shorter deployment time?
Pre-built connectors eliminate the need for custom integration development. Hyperbots has ready integrations with major ERPs like NetSuite, SAP, QuickBooks, and more, enabling seamless data flow and reducing deployment time significantly.
How do you achieve rapid configuration without coding? How does it help in faster deployment?
Hyperbots leverages a no-code configuration framework, enabling customers to define workflows, roles, approval hierarchies, and matching rules through simple interfaces. This eliminates the need for complex coding, allowing rapid customization and deployment within weeks.
Do you need any third party during deployment?
No, Hyperbots Co-pilots are designed for direct deployment without requiring third-party involvement. The implementation is managed entirely by Hyperbots’ team or the customer’s internal team using the no-code configuration tools.
What level of involvement is needed by the customer during deployment?
Customer involvement typically includes providing access to ERPs, defining workflows and approval hierarchies, and conducting UAT (User Acceptance Testing). The process is streamlined to minimize customer effort while ensuring tailored configurations.
Why Hyperbots Agentic AI Platform?
Finance specific
Hyperbots Agentic AI platform specializes exclusively in finance and accounting intelligence, leveraging millions of data points from invoices, statements, contracts, and other financial documents. No other platform has such large pretrained models on F&A data.
Best-in-class accuracy
Hyperbots achieves 99.8% accuracy in converting unstructured data to structured fields through a multimodal MOE model integrating LLMs, VLMs, and layout models. With contextual validation and augmentations, the platform ensures 100% accuracy for deployed agents.
Synthesis of unstructured and strutured finance data
Hyperbots agents emulate finance professionals to autonomously perform F&A tasks by reading and writing data like COA, expenses, and vendor masters from core accounting systems and integrating it with unstructured data from financial documents such as invoices, POs, and contracts.
Pre-trained agents with state of the art models
Hyperbots' Agentic platform, pre-trained on millions of financial documents like invoices, bills, statements, and contracts, ensures seamless integration, high accuracy, and adaptability to any accounting content, form, layout, or size from day one.
Company specific inference time learning
Hyperbots' Agentic platform employs state-of-the-art Auto ML pipelines with techniques like reinforcement learning to enable inference-time learning for tasks such as GL recommendation and cash outflow forecasting, ensuring continuous improvement and adaptability.