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The accounting expertise disaster is altering how companies deal with their funds. With the US market needing 340,000 new accountants and 45% of corporations struggling to draw expertise, extra firms are turning to specialised expense administration suppliers to deal with their accounting operations.
However this is the catch: These service suppliers face the identical expertise scarcity.
We not too long ago labored with one such supplier who processed over 50,000 payments and invoices month-to-month for his or her shoppers. As extra firms got here to them for assist, they bumped into the identical impediment: they could not rent sufficient folks to maintain up with the workload. It bought to a degree the place they needed to flip down new shoppers.
Let me take you thru how the service supplier carried out automated bill processing and located a technique to bulk-process payments and invoices with out continuously including extra employees.
What occurs when rising quantity breaks doc processing
The expense administration supplier in query focuses on serving to organizations optimize their working expenditure. As a Enterprise Course of Outsourcing (BPO) companion, they deal with all the pieces from utility and telecom bills to IT prices—processing payments, validating costs, and offering detailed analytics. They assist AP groups in healthcare, manufacturing, retail, and authorities organizations scale back the workload whereas delivering value financial savings via higher expense administration.
Nonetheless, as this supplier’s enterprise grew quickly, dealing with near 50,000 utility payments and invoices month-to-month turned greater than only a processing problem. It uncovered elementary operational constraints that threatened their capability to scale and ship worth to shoppers.
This is what occurred:
1. Handbook processing turned a bottleneck: Their workforce relied on handbook knowledge entry and will solely course of about 100 invoices per particular person per day. It created a rising backlog and restricted their capability.
2. Expertise scarcity worsened issues: Discovering and retaining certified in-house accounting analysts to supervise the method and guarantee accuracy turned more and more tough and costly. This made it tougher to scale their workforce and meet rising calls for.
3. Consumer service suffered in consequence: Processing inaccuracies and inefficiencies meant delays, errors, and, in the end, sad shoppers. Additionally they struggled to fulfill shopper deadlines, resulting in potential penalties.
4. Revenue margins had been squeezed: Elevated labor prices and SLA penalties minimize into their profitability, making it tougher to spend money on progress and innovation.
5. Progress alternatives had been restricted: They could not effectively onboard new shoppers or tackle new enterprise alternatives. It put them on the again foot towards rivals with higher methods.
They wanted to keep up a big workforce of information entry clerks always to key within the sheer quantity of payments and invoices. Whereas they had been capable of outsource a few of it, the inherent limitations of handbook processing remained.
The tipping level was when the service supplier began turning down new enterprise as a result of their operations couldn’t scale to serve them.
Why utility bill processing will get sophisticated at scale
Check out a typical utility invoice. It would appear to be a easy doc to course of. However, it could possibly rapidly turn out to be a headache whenever you’re processing 1000’s of them each month, particularly when aiming for the accuracy and element wanted for efficient expense administration.
Every bill accommodates vital knowledge factors that must be extracted and validated: account numbers, service addresses, meter readings, utilization knowledge, cost descriptions, and cost phrases.
This is a fast glimpse into how sophisticated the utility invoice processing workflow was:
- Each utility firm is completely different
- A whole bunch of utility firms, every with distinctive bill codecs—some even utilizing 7-8 completely different layouts
- Some utility firms ship every day payments, others month-to-month
- Single invoices can run from 1 to 372+ pages
- Every format wants particular dealing with
- Info is not simple
- A number of meter readings for various providers (electrical energy, fuel, water) may very well be scattered throughout the doc
- Service addresses for multi-location shoppers may be unfold throughout pages, or buried inside tables
- Cost descriptions lacked consistency (“Buyer Cost” in a single invoice and “Cust. Chg.” in one other)
- Similar costs may seem a number of instances on a single bill, requiring handbook revisions
- Accuracy necessities are strict
- Meter readings should match their corresponding costs
- Information wants validation earlier than system import
- Errors might result in incorrect shopper experiences, flawed monetary insights, and missed optimization alternatives
- Processing delays result in SLA penalties
These complexities meant handbook processing or fundamental OCR options, which frequently battle with inconsistent layouts and complicated knowledge relationships, wouldn’t be sufficient. They wanted an answer that would not solely deal with excessive quantity but additionally adapt to the intricate particulars and variations of their shoppers’ utility payments.
How the service supplier carried out automated bill processing for prime volumes
The expense administration supplier knew they wanted to automate bill processing earlier than progress turned unattainable. Nonetheless, with 50,000+ month-to-month invoices, advanced validation necessities, and strict shopper SLAs, they could not afford any drops in accuracy or service high quality through the transition.
That is when their CFO found Nanonets. Our one-shot studying, customizable validation flows, hands-on help for advanced vendor setups, and talent to deal with multi-page tables satisfied them that we might meet their particular wants:
- Distinctive doc layouts
- Complicated knowledge extraction wants like a number of meter readings and repair addresses
- Excessive-volume processing with constant accuracy
- Validation necessities for his or her system import
Working with the supplier, we took a scientific strategy to automation. Relatively than disrupting their total workflow without delay, we began with a vendor-by-vendor strategy to validate accuracy and construct confidence.
As we speak, their automated workflow processes a good portion of their 50,000 month-to-month payments and invoices. Right here’s the way it works:
1. Doc consumption
- Their workforce collects invoices all through the day via a number of channels (mail, shopper emails, utility firm portals, and bodily invoices)
- On the finish of every workday, they place all collected invoices into a chosen SharePoint folder
- The SharePoint folder construction can go as much as 3 ranges deep (e.g., most important folder → vendor folder → date folder)
- Nanonets checks the SharePoint folders each 3-5 minutes for brand spanking new information
- When new information are detected, Nanonets mechanically imports them
Word: Backup strategies embody direct add via the Nanonets interface, e-mail forwarding to a devoted mannequin e-mail deal with, and different cloud storage choices (Google Drive, Dropbox)
2. Preliminary processing
- As soon as imported, Nanonets’ AI mannequin begins extraction instantly
- System identifies and processes:
- A number of meter readings as desk constructions
- Complicated cost descriptions
- Service addresses throughout pages
- Fee phrases and dates
- Constructed-in validation checks the payments for:
- Subject completeness
- Date format accuracy
- Quantity validity
- Required data presence
Word: Their workforce adopted an end-of-day batch add strategy, permitting our system to course of all the pieces in a single day. This ensures all paperwork uploaded through the day are processed and prepared for evaluate the subsequent morning.
3. Error dealing with and high quality management
Error dealing with entails automated checks, adopted by handbook opinions for corrections.
A number of the automated checks achieved by Nanonets:
- Flags lacking fields
- Identifies mismatched meter readings
- Catches incorrect cost descriptions
- Tracks accuracy charges by vendor
The processing workforce then opinions error logs and output every day for:
- Cost descriptions within the unsuitable columns
- Service addresses throughout a number of places
- Meter readings matching their costs appropriately
When points are discovered, the workforce investigates the basis trigger, corrects extraction errors immediately within the Nanonets interface, and updates the AI Mannequin’s coaching information if wanted to enhance future accuracy. This steady suggestions loop helps keep excessive accuracy charges throughout all distributors.
Word: Day by day error reporting was carried out to forestall points from bleeding via all the week.
4. Submit-processing and output
As soon as paperwork move validation:
- System applies customized formatting guidelines to extracted knowledge
- Standardizes cost descriptions throughout distributors
- Information is exported in customized CSV/Excel format
- Information are organized by vendor and date
- Information is imported into the service supplier’s billing system
Word: The workforce processes 15,000-20,000 pages month-to-month this fashion, which might scale to 30,000+ pages.
5. Steady enchancment
We work with the service supplier to keep up and enhance processing high quality. Their workforce identifies areas for enchancment and offers suggestions, whereas we repeatedly improve the AI mannequin’s accuracy. This entails:
- Common mannequin updates primarily based on their processing workforce’s suggestions
- Targeted enhancements in advanced areas like cost descriptions
- Gradual onboarding of latest distributors to make sure secure efficiency
- Utilizing our analytics dashboard to observe and optimize efficiency
This collaborative strategy helps keep excessive accuracy charges whereas steadily increasing processing capabilities.
The impression of automation on bulk bill processing
Inside three months of implementing Nanonets, the supplier noticed vital outcomes. They scaled their automated processing from zero to 12,000 pages month-to-month, demonstrating the system’s capability to deal with their high-volume wants.
For utility invoices from identified distributors, the AI mannequin achieved processing speeds of 173-174 invoices in simply 5 minutes — a process that may’ve required hours of handbook knowledge entry.
However the impression went past simply pace.
Processing effectivity
- Nanonets can now course of 46 out of fifty distributors shared by the client
- Just one consultant file required per vendor for AI mannequin coaching
- Automated doc consumption via SharePoint integration
- Bulk in a single day processing of 500 invoices every day
Operational enhancements
- Workers free of handbook knowledge entry to give attention to higher-value duties like shopper reporting and evaluation
- Sooner turnaround on shopper deliverables and assembly SLAs
- Extra constant processing high quality, with fewer errors and handbook corrections
- Higher dealing with of advanced invoices with a number of meter readings and repair addresses
The trail ahead
The supplier’s journey into automated bill processing remains to be in its early levels. With solely ~20% of their complete invoice quantity presently automated, there’s vital room for progress. However extra importantly, it has laid the inspiration for a major transformation of their operations.
Their subsequent steps give attention to:
Increasing automation protection
- Processing telecom invoices (estimated 10,000 month-to-month)
- Scaling to deal with ~30,000 payments and invoices month-to-month
- Persevering with to onboard new invoice codecs from completely different utility firms effectively
- Constructing on their profitable utility bill automation
Technical integration
- Implementing API integration by summer season 2025 to allow direct knowledge move between Nanonets and their expense administration answer
- Automating error corrections the place doable to cut back handbook evaluate time
- Constructing a extra strong integration between Nanonets and their in-house software program