
Background
Hyperbots Inc. is an organization with a vision to free up humans from mundane and repetitive tasks in finance. Their proprietary Agentic AI Platform for Finance and Accounting powers their state-of-the-art AI-native co-pilots, designed to significantly automate F&A processes, reducing the administrative burden on finance teams and enabling faster, more accurate decision-making.
Core problem
Processing invoices manually is frustrating. Data entry, matching errors, wrong GL codes, slow approvals, and OCR mistakes pile up fast. It’s not just slow—it costs money. For finance teams, it feels like busywork that never ends
Key achievements:
0 -> 1
Crafted foundational design system
ARR to date: $3M
Successfully Launched MVP
Approach & Process
What is a Copilot and what is a Invoice processing co-pilot in accounts payable process?

Hyperbots Invoice Processing Co-pilot automates the entire invoice lifecycle with 80% straight-through processing (STP). It uses foundational AI agents for tasks like invoice discovery, fields extraction, validation, matching, GL coding and GL posting - significantly reducing manual effort and enhancing accuracy.
Aim
Invoice Processing Co-pilot aims to reduce invoice processing time from an industry average of 11 days to less than one minute due to STP achieved through AI.
Design and Development
We focused on building an interface that delivered both functionality with a sleek, minimalistic look. Since the target group is finance based, focus was bringing out numbers and statistics which make the necessary argument of moving forward with approving invoice payments. After talking with the CFO partners (partnered with the organization as consultants), following decisions were taken while designing:
Streamlined Navigation: We structured the navigation to allow users to easily access different procure-to-pay features.
Data segregation: Clear differentiation between the invoices that are:
- Ready to process (AI automated invoices that are already 2 way/3 way matched)
- Need review from the user to move forward
- Processed invoices which are already processedMini dashboard: A short data illustration on the main payments view that gives the user an insight about the segregation for the total number of invoices processed for payments
Visual Hierarchy: By introducing a clear typography system, we ensured that complex data was presented in a digestible manner.
User Persona and their pain points
Primary Persona: CFO, Finance controller, AP member
Labor intensive and error prone
Duplicate invoices
Wrong GL coding
High OCR errors
Delays in approvals
High invoice processing cost
Visual Direction
While designing the whole of procure-to-pay suite of Hyperbots, the designs were constantly being reviewed by the partners that helped shape the vision of the product.
Using the Hyperbots Design system as the foundation
Tabular representation of data which the users are the most used to (almost all of the users involved in invoice processing use excel sheets as their primary tool)
Proper data representation using infographics and data visualization charts to show in the dashboard
A clean layout which is easier to use and understandable to the user
Key Features
Segregated views of Ready to process invoices, Invoices pending reviews & Processed Invoices specified in the table (here, for MVP purposes, the whole payment run was not designed instead posting the paid invoices to update in ERP along with their GL code was made)


Clear tags representing the status of the invoice matching:
a) Ready to process tab
- Auto approved (2-way match / 3-way match success)
- Manually approved (2-way match / 3-way match failed or No match)
- Written to ERP
- Failed to write to ERP
b) Pending review tab
- Pending review
- Unassigned
c) Processed invoices tab
- Posted to GL
- Partially paid invoice
A proper detailed click through/ drill down view of the invoices when the user clicks on it which shows the related invoice attached and the details of the invoice (Sender details, Payment terms, Item lines, Vendor details, etc). These detailed views change according to the status of the invoice. (Amongst the key screens below, img 3 )
Handling duplicate invoices. Sometimes there are multiple uploads of same invoice which the AI flags duplicate. A defined tag was designed which indicated that the uploaded invoice is a duplicate

Creating invoices from PO numbers/ references (shown below, img 5)
AI recommended GL tags for each invoice so that the user knows which GL code has been assigned and can later change it at their convenience (Shown in table in pt. 2)
Audit trail for external auditors and compliance. A trail showing the stages where the invoices has been during approval

User workflows configurations for organizations. Features include:
- Work allocation
- Approver levels





Results and Impact
Organizations achieved faster invoice processing times with the agents working 24/7. With proper UX, they were able to post multiple invoices to ERP in just one click reducing the manual matching times.
Find out how one of our user take advantage of the Hyperbots Invoice processing co-pilot and increase productivity in this blog