Company Specific Configurations
Hyperbots Co-pilots offer extensive company-specific customizations, including ERP integration, workflows, roles, UI, GL structures, and matching policies, all configured through a no-code framework.
Key Features
Integration with customized ERP
Hyperbots connectors integrate seamlessly with customized ERP implementations, adapting to company-specific ERP configurations and workflows.
User and organizational structure configuration
Users, roles and organizational hierarchies for workflows are configured based on company-specific needs.
Business process and role customization
Business processes and roles are adapted to match the company's operational structure.
Customizable UI
The Co-pilot’s user interface is tailored to align with company preferences for branding, layout, and functionality.
Approval levels and limits
Approval workflows, including levels and monetary thresholds, are fully configurable to match company policies.
Standardized or granular workflows
Companies can standardize or granularize workflows based on their operational needs.
Chart of accounts and GL configurations
The Co-pilot supports company-specific Chart of Accounts (COA) and GL structures, ensuring alignment with financial reporting needs.
Policy configurations for matching, accruals, and vendor management
Matching rules, accrual processes, and vendor management workflows are customized to meet company policies.
Templates, notifications, and audit trails
PO templates, notification formats, and audit trail structures are adapted for company-specific requirements.
Comparison with competition
FAQs: Company Specific Configurations
What kind of customization do you provide that are company-specific?
Hyperbots Co-pilots offer extensive customization, including workflows, approval levels, roles, matching strategies, and custom fields tailored to your company's needs.
What level of workflow customizations do you provide?
We provide configurable workflows that adapt to department-specific, unit-specific, or role-specific needs, allowing businesses to design processes that align with their unique operations.
Can I have my company-specific custom fields in documents and UI?
Yes, Hyperbots supports custom fields in documents and UI, which can be configured without coding, enabling alignment with company-specific requirements.
Do your AI agents recommend company-specific GL Codes?
Yes, Hyperbots Co-pilots include a GL Recommender that learns from historical data and company-specific rules to recommend accurate GL codes.
How does your Agentic AI platform handle company and vendor-specific invoices?
The platform is pre-trained on millions of invoices and uses no-code configurations to adapt to company-specific templates, vendor-specific formats, and custom field requirements.
How do you configure approver levels?
Approver levels are configurable based on roles, hierarchy, and business rules, allowing multi-level, department-specific, or exception-based approval flows.
How do you configure business process roles?
Business process roles can be defined and assigned during implementation, with permissions tailored to the specific tasks and oversight required for each role.
How do you specify approval limits?
Approval limits can be configured based on roles, thresholds, or specific conditions, ensuring proper financial governance.
What flexibility do I have in workflow approver levels?
You can configure flexible approver levels with thresholds, dynamic workflows, exception handling, and ad-hoc interim approvals for unique scenarios.
What matching configurations do you provide?
Hyperbots offers field-level matching configurations, tolerances, and severity rules for 2-way and 3-way matching between invoices, POs, and GRNs.
What matching strategy can you configure?
Matching strategies can be set by vendor, expense category, or document type, with rules for exceptions and scenarios requiring no matching.
How do you configure accruals?
Accrual configurations include options for cutoff dates, recurring expenses, manual accruals, and automated reversals, tailored to your accounting policies.
What kind of vendor management configuration do you provide?
We support configurations for vendor onboarding workflows, identity verification rules, approval hierarchies, and custom vendor fields.
What kind of configurability do you provide for PR/PO?
PR/PO configurations include customizable templates, approval levels, business rules, matching requirements, and vendor-specific workflows.
What configurability do you provide for notifications and audit trails?
Hyperbots allows companies to configure notifications for key events and maintain detailed audit trails, with options to define additional logs or customize notification content and delivery channels.
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.