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 corporations are turning to specialised expense administration suppliers to deal with their accounting operations.
However here is the catch: These service suppliers face the identical expertise scarcity.
We just lately labored with one such supplier who processed over 50,000 payments and invoices month-to-month for his or her purchasers. As extra corporations 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 purchasers.
Let me take you thru how the service supplier applied automated bill processing and located a solution to bulk-process payments and invoices with out always including extra employees.
What occurs when rising quantity breaks doc processing
The expense administration supplier in query makes a speciality of serving to organizations optimize their working expenditure. As a Enterprise Course of Outsourcing (BPO) companion, they deal with every part from utility and telecom bills to IT prices—processing payments, validating prices, and offering detailed analytics. They assist AP groups in healthcare, manufacturing, retail, and authorities organizations scale back the workload whereas delivering price financial savings by means of higher expense administration.
Nonetheless, as this supplier’s enterprise grew quickly, dealing with near 50,000 utility payments and invoices month-to-month grew to become greater than only a processing problem. It uncovered elementary operational constraints that threatened their skill to scale and ship worth to purchasers.
This is what occurred:
1. Handbook processing grew to become 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 grew to become more and more troublesome and costly. This made it more durable to scale their workforce and meet rising calls for.
3. Shopper service suffered in consequence: Processing inaccuracies and inefficiencies meant delays, errors, and, finally, sad purchasers. In addition they struggled to satisfy consumer deadlines, resulting in potential penalties.
4. Revenue margins had been squeezed: Elevated labor prices and SLA penalties reduce into their profitability, making it more durable to put money into progress and innovation.
5. Progress alternatives had been restricted: They could not effectively onboard new purchasers or tackle new enterprise alternatives. It put them on the again foot in opposition to rivals with higher techniques.
They wanted to take care of a big workforce of information entry clerks always to key within the sheer quantity of payments and invoices. Whereas they had been in a position to 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 look like a easy doc to course of. However, it may shortly grow to be a headache while you’re processing 1000’s of them each month, particularly when aiming for the accuracy and element wanted for efficient expense administration.
Every bill incorporates essential knowledge factors that should be extracted and validated: account numbers, service addresses, meter readings, utilization knowledge, cost descriptions, and fee phrases.
This is a fast glimpse into how sophisticated the utility invoice processing workflow was:
- Each utility firm is totally different
- Tons of of utility corporations, every with distinctive bill codecs—some even utilizing 7-8 totally different layouts
- Some utility corporations 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 easy
- A number of meter readings for various companies (electrical energy, fuel, water) could possibly be scattered throughout the doc
- Service addresses for multi-location purchasers is perhaps unfold throughout pages, or buried inside tables
- Cost descriptions lacked consistency (“Buyer Cost” in a single invoice and “Cust. Chg.” in one other)
- Equivalent prices may seem a number of instances on a single bill, requiring handbook revisions
- Accuracy necessities are strict
- Meter readings should match their corresponding prices
- Information wants validation earlier than system import
- Errors may result in incorrect consumer experiences, flawed monetary insights, and missed optimization alternatives
- Processing delays result in SLA penalties
These complexities meant handbook processing or fundamental OCR options, which regularly 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 purchasers’ utility payments.
How the service supplier applied automated bill processing for top volumes
The expense administration supplier knew they wanted to automate bill processing earlier than progress grew to become unimaginable. Nonetheless, with 50,000+ month-to-month invoices, complicated validation necessities, and strict consumer 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 complicated vendor setups, and skill to deal with multi-page tables satisfied them that we may 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 method to automation. Slightly than disrupting their complete workflow directly, we began with a vendor-by-vendor method 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 by means of a number of channels (mail, consumer 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., essential folder → vendor folder → date folder)
- Nanonets checks the SharePoint folders each 3-5 minutes for brand new recordsdata
- When new recordsdata are detected, Nanonets mechanically imports them
Notice: Backup strategies embrace direct add by means of 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
Notice: Their workforce adopted an end-of-day batch add method, permitting our system to course of every part in a single day. This ensures all paperwork uploaded through the day are processed and prepared for overview the following morning.
3. Error dealing with and high quality management
Error dealing with entails automated checks, adopted by handbook critiques for corrections.
A few of the automated checks completed by Nanonets:
- Flags lacking fields
- Identifies mismatched meter readings
- Catches incorrect cost descriptions
- Tracks accuracy charges by vendor
The processing workforce then critiques error logs and output every day for:
- Cost descriptions within the flawed columns
- Service addresses throughout a number of places
- Meter readings matching their prices accurately
When points are discovered, the workforce investigates the foundation trigger, corrects extraction errors immediately within the Nanonets interface, and updates the AI Mannequin’s coaching recordsdata if wanted to enhance future accuracy. This steady suggestions loop helps keep excessive accuracy charges throughout all distributors.
Notice: Day by day error reporting was applied to forestall points from bleeding by means of your entire week.
4. Publish-processing and output
As soon as paperwork cross 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
Notice: The workforce processes 15,000-20,000 pages month-to-month this fashion, which may scale to 30,000+ pages.
5. Steady enchancment
We work with the service supplier to take care of and enhance processing high quality. Their workforce identifies areas for enchancment and supplies suggestions, whereas we constantly improve the AI mannequin’s accuracy. This entails:
- Common mannequin updates primarily based on their processing workforce’s suggestions
- Centered enhancements in complicated areas like cost descriptions
- Gradual onboarding of recent distributors to make sure steady efficiency
- Utilizing our analytics dashboard to watch and optimize efficiency
This collaborative method helps keep excessive accuracy charges whereas steadily increasing processing capabilities.
The influence of automation on bulk bill processing
Inside three months of implementing Nanonets, the supplier noticed important outcomes. They scaled their automated processing from zero to 12,000 pages month-to-month, demonstrating the system’s skill to deal with their high-volume wants.
For utility invoices from recognized distributors, the AI mannequin achieved processing speeds of 173-174 invoices in simply 5 minutes — a process that will’ve required hours of handbook knowledge entry.
However the influence 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 by means of SharePoint integration
- Bulk in a single day processing of 500 invoices every day
Operational enhancements
- Workers free of handbook knowledge entry to deal with higher-value duties like consumer reporting and evaluation
- Quicker turnaround on consumer deliverables and assembly SLAs
- Extra constant processing high quality, with fewer errors and handbook corrections
- Higher dealing with of complicated invoices with a number of meter readings and repair addresses
The trail ahead
The supplier’s journey into automated bill processing continues to be in its early levels. With solely ~20% of their complete invoice quantity at present automated, there’s important room for progress. However extra importantly, it has laid the muse for a big transformation of their operations.
Their subsequent steps deal with:
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 totally different utility corporations effectively
- Constructing on their profitable utility bill automation
Technical integration
- Implementing API integration by summer season 2025 to allow direct knowledge circulate between Nanonets and their expense administration resolution
- Automating error corrections the place attainable to scale back handbook overview time
- Constructing a extra strong integration between Nanonets and their in-house software program