Tag: Accounts Payable automation

While digital transformation has recently become a key priority for the financial services sector, last year was a landmark period in this journey. Nearly half (49%) of firms have accelerated their initiatives, finds Deloitte, and the financial services sector has far outpaced other industries in their digital investments (arguably,  because our industry was so far behind others).

Over the years I’ve been part of several C-suite management teams and corporate boards for leading organizations at the intersection of financial services and tech. One first-hand observation I have made is that automation not only achieves short-term benefits like headcount of expense reduction, but it also creates a ripple effect that permeates across the entire company’s ecosystem. Strategic automation at the backend allows advisors to be more efficient in their work, and in turn, drives a far superior experience for the end customer. To achieve such holistic impacts, it is vital that we relook at our understanding of automation in financial services and the future roadmap.

Financial Services institutions have been primarily focused on building out an integrated infrastructure with interoperability between systems that enable a unified rendering of data for advisors. But this is only step one: It is when effective automation of front, mid, and back-office processes meets 360-degree business objectives, only then, advisors are free to build more capacity in their day and devote their time to more meaningful work, and eventually drive long-term business growth through lasting relationships with customers.

Even with all your enterprise-level digital adoption, accounts payable can still be one of the most paper-intensive departments in your organization. The team’s primary function, invoice processing, costs the company resources due to time-consuming and repetitive tasks, slow processing cycles and human-introduced errors. The longer you ignore the cost of manually processing invoices, the deeper the dents it tends to cause in your organization’s bottom line. Learn how the benefits of accounts payable automation can reverse that trend.

The True Cost of Your Invoice Processing Flow

The U.S. Institute of Finance & Management (IOFM) suggests that the cost of processing a single invoice can be anywhere between $1 and $21. Putting this into perspective, think of a mid-sized company that has approximately 1,000 invoices to process per month. They would lose significant money through the gaps caused by process inefficiency. AP automation benefits can help to solve those inefficiencies and reduce your invoice processing costs.

What Makes Invoice Processing Expensive?

Wondering how best to calculate the expense of processing invoices in your organization? The simplest way is to equate it with the costs of associated human effort. Typically, a member of your accounts payable team would take at least 30 minutes to process a single invoice. Considering the average salary of an accounts payable clerk in the U.S. is $43,917 (approximately $21 per hour), processing one invoice could cost $10.50.  For the mid-sized company mentioned earlier, this would add up to more than $10,000 every month.

And that’s not all! At this point, we’ve only discussed the base costs involved. But there’s more to it, such as:

• Cost of fixing manual errors: Invoice processing is highly susceptible to errors due to daily variances, volume-based pressure or sometimes even sheer human fatigue. To fix such errors on a paper invoice, you might have to spend a significant $53.50 to create a new document, communicate with different stakeholders and redact payments already made.
• Lost opportunity costs, such as discounts: Most vendors offer discounts for early payments, which can be as much as 2% to 5%. Manual invoice processing can create delays, causing the payment to miss the discount window.
• Strained vendor relationships: The inefficiencies related to manual invoice processing, such as delayed payments, payment redactions and multiple requests for the same information, can seriously damage your brand’s reputation in today’s vendor and supplier landscape. More severe mistakes could even harm long-term relationships, adding to your overall invoice processing costs.
• Physical costs, like storage and paper: Manual invoice processing goes together with paper-based processes, involving costs for physical file storage, stationery, etc. Unstructured hybrid systems can be even more expensive as the accounts payable team might have to switch between digital and paper formats, spawning duplication.
• Cost of efforts diverted from core functions: Finally, complex approval processes coupled with frequent exceptions call for measures by personnel outside the invoice processing team. Business leaders might have to intervene in invoice processing, and their valuable person-hours (which would otherwise be spent on higher-value functions) must be factored in.

What is Invoice Workflow Automation & STP?

Invoice automation and the benefits of accounts payable automation go beyond barebones e-invoicing, which only recreates paper processes in a digital format and replicates its inefficiencies. The intelligent automation of invoice processing leverages technology in a meaningful way to remove the bottlenecks in your accounts payable workflow, bringing human intervention down to near-zero. This enables straight-through processing, or STP, where automated technology manages the end-to-end invoice lifecycle, and the average handling time by humans is dramatically reduced.

6 AP Automation Benefits That Achieve STP and Help Reduce Invoice Processing Costs

According to McKinsey, intelligent automation can streamline 93% of tasks in payment processing. The stages of accounts payable automation include:

1. Extract Invoice Data Using Artificial Intelligence and Machine Learning

AI/ML-based technology such as object recognition and optical character recognition (OCR) can extract data from scanned images, PDF snapshots, etc. and automatically populate the fields in your accounts payable system. Intelligent invoice extraction is compatible with country-specific EDI formats, XML/JSON files, scanned images and even mailbox attachments.

2. Set up A Custom Supplier Portal

The worst long-term issue caused by inefficient invoice processing is probably the erosion of trust in vendor relationships. The smart UX of an automated solution allows you to set up a digital portal where vendors and suppliers can choose their relevant forms, make data entries and enjoy seamless interactions with your invoice processing team.

3. Configure Workflows to Handle Exceptions

Among the many benefits of accounts payable automation, automated exception handling lets your accounts payable staff tackle complex invoice scenarios without claiming the time of multiple business stakeholders. For example, they can set up workflows to handle exceptions such as potential signs of fraud, invalid vendor data, invalid file formats and specific PO detail mismatches. Configurable rules like these for invoice validation reduce an agent’s time to manually process an invoice by 80%.

4. Integrate with Your ERP

An AP automation workflow can connect with your existing systems like SAP, Oracle, Pegasus, Microsoft Dynamics, Salesforce, Infor, Sage or homegrown applications to enable bi-directional data flow. Your ERP can act as the reference for validating extracted invoice data (which otherwise needs to be performed by an AP staff member) and document the workflow information.

5. Gain from Analytics and Data Insights

Over and above AP automation benefits like lower invoice processing costs, automation becomes a true value generator here. First, it uses validation rules to assign a risk assessment score to every invoice. It also prioritizes tasks automatically based on load, productivity or your unique segmentation rules. Next, it uncovers vital data from your invoice processes to highlight productivity trends, KPIs and improvement areas, creating real-time visibility into invoices pending approval.

6. Consider Hosting on the Cloud

Cloud-based workflow automation software significantly lowers your upfront costs and ongoing maintenance overhead, while reducing your overall TCO. On-premises partly managed hosting is also an option in areas where there are critical regulatory requirements.

Save More as You Grow. Make Accounts Payable a Profit Center.

While traditional invoice processing methods become more expensive with scale (as volume and costs are directly related), intelligent automation and STP allow you to reduce costs as you grow. As the solution architecture is inherently scalable, your automation partner can offer volume-based efficiencies — for example, incrementally reduced pricing for volume tiers above 5,000 invoices per month.

JIFFY.ai delivers invoice processing and accounts payable automation benefits for small businesses, large finance and accounting teams and every organization in between. We can help them achieve 80% STP and reduce the human efforts needed to process invoices from a new supplier to 0%. Sophisticated AI and ML-based workflows allow you to look beyond just replicating age-old manual processes in a digital wireframe. Leveraging our intelligent and scalable automation HyperApps, we are committed to helping future-oriented enterprises derive business value across critical functions like accounts payable.

Get the Benefits of Accounts Payable Automation with JIFFY.ai

If you want to iron out bottlenecks or inefficiencies in your business processes through sustainable, intelligent invoice processing automation, please email us at marketing@jiffy.ai. Our HyperApps experts will be happy to help you accelerate!

Does your enterprise deal with an army of suppliers regularly? Is significant team effort spent on reviewing and sorting a multitude of invoices, but you still end up with late or erroneous payments?

Time to take a look at how JIFFY.ai’s Automated Invoice Processing HyperApp can help you save more by making the right payments at the right time.

The Hassles of Manual Invoice Processing

Any manual process is by its nature more tedious and error-prone than an automated solution. The incremental issues that arise when invoice payments are delayed or inaccurate can lead to severe issues in partner relationships and even break the supply chain.

Manual processing is costly and drawn-out and often fraught with a lot of duplicate and erroneous entries. The enterprise is left dealing with collateral damage in many ways:

• Strain in supplier relationships and a threat to company reputation
• Loss of purchase discounts in the invoice payment process
• Inclusion of late penalties, increasing the costs
• Rework to correct the errors adds to the processing time and costs more to the company
• Erroneous invoices may take weeks to straighten out with the suppliers and hamper the end-of-month closure of accounts

Need Of The Hour – An Intelligent Invoice Processing System implemented through Accounts Payable Automation

According to AQPC’s Open Standards Benchmarking Accounts Payable 2020 survey, on average top-performing companies report that nearly 0.8% of their annual disbursements are duplicate or erroneous. On the other hand, bottom performers report more than twice the amount, at 2% of total annual payments. Just look at this in light of your yearly invoice payment numbers, and it will be staggering enough to take a real relook at the process. 

An automated invoice processing system helps in cultivating positive vendor and supplier relations. It enables users to maintain accurate records and respond to invoices in a timely fashion while ensuring prompt payments and precise records of supplier relationships. 

RPA-Enabled Vs JIFFY.ai’s Intelligent HyperApp Invoice Automation

RPA can quickly automate repetitive tasks in the invoice process and works on a rule-based approach. You can specify rules to flag exceptions when certain conditions are met and raise a request to the human agent to resolve the issue before the payment is approved. An intelligent Accounts Payable automation system applies NLP and Machine Learning (ML) on top of RPA extending RPA’s ability to provide substantial augmentation. 

Our HyperApp Invoice Automation solution builds on RPA’s capabilities to ensure the invoice is accurate before being sent for payment.

• ML examines data captured in different fields and tries to establish a mapping between fields that hold the same pattern of data values
• Robust in handling the cognitive 3-way match between the Purchase Order, report of goods received, and the invoice
• Helps to check if the invoice is accurate, is not a duplicate and the invoice corresponds to the goods requested and received
• Can learn as fast and accurately as experienced humans in identifying and interacting with suppliers, automatically performing input intake, coding, processing and routing invoice workflows, denoting payment deadlines, approval workflows and approvers. It requires human interaction only at critical checkpoints.
• Makes it easy for supplier business users to interact directly with the invoice process through easy to use interfaces
• Provides the analytic ability to detect payment schedules well in advance, to reduce errors, and to save costs by incorporating purchase discounts in the invoice process
• Improves cash flow transparency with the validation engine confirming the accuracy of invoices before pushing them into the ERP system and reducing the need for downstream updates

Invoice Right on Time with JIFFY.ai’s HyperApp

JIFFY.ai’s HyperApp’s unique features for accurate invoice processing are:

• Intelligent Invoice Extraction – with built-in cognitive capabilities to handle complex invoices like line items, tables, etc. and the cognitive capability can automatically create templates for new invoices
• Customizable Supplier Portal – exercises full control over portal customizations to ease supplier onboarding and ongoing invoice management
• Configurable Workflows – allows faster implementation cycles, additions of new suppliers or new product lines, configurable for a multitude of suppliers and invoice types
• Powerful Validation Engine – ensures all validation is handled ahead of ERP to avoid downstream updates in the ERP system
• Powerful Data Analytics – the underlying data layer allows us to provide analytics around the process itself and also around business intelligence
• Pluggable ERP connectors – can plug directly into your existing infrastructure

Impactful ‘App’lications

Many organizations have reported reduced errors and improved overall process efficiency after implementing the JIFFY.ai HyperApp solution for their invoice process. 

Statistics:

Error reduction – 90%+
Efficiency Improvement – 85%+

Intelligent Accounts Payable automation of the complex invoice process with a more collaborative and connected approach and smarter, dynamic data-driven decision-making ability is required in today’s hyper-competitive, fast-paced business landscape. The JIFFY.ai HyperApp solution is the right choice for you to transform your invoice process, increase your revenue and maintain trust with your suppliers.

Drop an email to marketing@jiffy.ai and our HyperApps experts can help you accelerate invoice processing, straight through!

Is your business treating invoice processing as an unavoidable cost of doing business (pun intended!)? You don’t have to when you use accounting process automation!

When seemingly mundane activities are not optimized using intelligent invoice processing automation, you could be leaking significant dollars without even realizing it. Interestingly, it is such tasks that can be transformed to be not only effortless but also provide deep insights into your fund management.

Any opportunity to improve business processes and create bandwidth for other critical activities – especially during the current economic conditions – is valuable and worth pursuing. Manual effort spent on repetitive administrative tasks like managing invoices results in a significant waste of time, effort and money. Studies show that Accounts Payable automation software can reduce invoice processing costs by 90 percent. ¹

It is common for large enterprises to interact with thousands of vendors and pay thousands of invoices per year. Most organizations still require a great deal of manual intervention to manage various aspects of invoice processing even after implementing RPA to automate the process.

How Do Businesses Currently Capture Invoice Data?

Large enterprises receive thousands of invoices every month from numerous vendors, each in a different format. Many suppliers still present their invoices via paper or as a PDF attachment in an email. These delivery methods require a great deal of manual processing, including scanning, data verification, and exception management. The goal of every organization is to get to a point where their Accounts Payable teams can perform end-to-end touchless invoice processing.

An invoice goes through several stages of scrutiny before it gets paid by the account payables department. The dedicated teams that handle invoice processing manually feed the data into enterprise workflow tools like SAP and similar ERP applications to ease the orchestration of invoice processing, including routing the data for multiple scrutiny checks, approval and validation for payment.

Potential Invoice Processing Concerns in Today’s Scenario

A majority of the invoices today are electronically processed where a vendor uploads the invoice on a supplier portal of the organization. Internal systems like SAP have integrated automated invoice processing solutions to manage the invoice data electronically. However, many vendors don’t adhere to the submission process through a supplier portal and end up sending the invoices directly via email. Even invoices submitted electronically are not standard and the same vendor may regularly change formats and fields.

Larger enterprises have teams to manually sort all the invoices, create the invoices in the system, validate the details across the ERP and GRN (Goods Receipt Number) systems and transfer the entries into the SAP system for further processing and approval.

The to-and-fro communication between the business and the finance team for validation and the overhead efforts to perform a match between a number of invoices and associated business units included in the delivery of goods makes it difficult in many cases to validate a one-one match between the purchase order to a goods receipt.

For delivery of services, there is no concept of a GRN. In such cases, the invoice process goes through additional approval. It requires human intervention to route the invoices for the required approval, which further increases manual input.

Manual processing can result in high processing costs, increased risk, process and accounting errors, duplicate and late payments. According to AQPCs 2018 survey² of 1,480 organizations reporting data on the cost to process an invoice, the bottom 25% are spending $10 or more per invoice processed. The median cost to process an invoice was $5.83.

The Challenges of using RPA for Invoice Processing in Accounts Payable Automation

• With the advent of RPA, automation of invoice processing was done based on fixed invoice templates or rules. With the number of vendors increasing, it was difficult to train the automation tasks to handle frequent changes in invoice templates.
• As organizations added new vendors and invoice formats, the RPA system failed to handle the process due to a lack of cognitive ability or flexibility to understand different formats, and an inability to adapt to new features.
• RPA solutions were also weak in ensuring the accuracy of data validation owing to the inability to perform 3-way match in the invoice validation and business rule enforcement throughout the invoice process.
• RPA solutions were not able to handle exception cues or provide many analytic insights of invoice status, improving cashflow or reducing processing costs.

Every touch to an invoice increases costs associated with processing the invoice and accuracy in handling and payments.

Accounting Process Automation for Touchless Invoice Processing

Our Automated Invoice Processing HyperApp with integrated Artificial Intelligence and Machine Learning capabilities can exercise full control over Supplier Portal customizations to ease supplier onboarding and invoice management. It has the built-in cognitive ability to handle complex invoice formats and create templates for new invoices.

Equipped with a powerful validation engine, the validation process is dealt with ahead of ERP processes to avoid downstream updates in the ERP system minimizing errors. The accounting process automation platform allows faster implementation of configurable workflows for new suppliers, product lines or invoices. The potential to provide powerful data analytic features gives the competitive edge for Accounts Payable automation.

JIFFY.ai’s Automated Invoice Processing HyperApp is truly touchless in every sense. Our customers reported significant improvement in straight-through invoice processing, 90% improvement in invoice processing turnaround times and more than 85% efficiency improvement after implementation.

Accelerate your automation journey with JIFFY.ai’s low-code platform.

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References

¹https://www.industryweek.com/finance/article/22010161/the-cost-of-paperbased-invoicing

²https://www.apqc.org/system/files/K07216_Cost%20to%20process%20accounts%20payable%20updated%202_26_18.pdf

Whether you’ve already implemented accounts payable automation technology in your enterprise or you’ve not yet implemented a solution, it’s important to understand exactly what you’re buying – and what you’re NOT buying – when you choose a vendor. 

There are quite a few automated invoice processing solutions in the market that with varying levels of automation sophistication can facilitate the elimination of human errors, increase efficiency, and reduce costs. Choosing the right vendor is critical to your company’s ability to manage cash flow and properly process invoices and payments.

But when choosing an automated invoice processing software, the question is not whether these vendors can do what they claim. The real questions to ask are: How much does the comprehensive solution for AP automation cost and, once you sign on, are all the necessary elements bundled in a single, transparent price tag? Will the solution be flexible and efficient in the long run? And will it require many external resources to manage it well into the future?

“Real” Total Invoicing Processing Costs for Accounts Payable Automation

We’ve put together some guidelines that can help you to select the right innovative automation solution while delivering a low Total Cost of Ownership (TCO). Here are some things to consider before selecting an accounts payable automation technology solution for invoice processing:

• Does the solution provide a unified platform that supports your end-to-end invoicing process at every step?
• Can the solution be easily implemented and adapt to your existing technology infrastructure?
• Is the solution scalable with built-in functionality for expansion of your invoice management process?
• Does the solution provide analytics on real-time data to help you see the current status of your cash flow and invoices, as well as provide visibility into improvements that can be made to the process itself?
• When your business processes change in response to market demand, will you need an army of consultants or additional resources to implement and manage the changes to the automation solution?
• Does the solution have built-in cognitive capabilities to handle complex invoices as well as automatically create templates for new invoices?

Invoice processing costs can also be hidden. For instance, some solutions will still require an Optical Character Recognition (OCR) engine for the conversion of images to text. Transparency around these additional costs is crucial and, typically, such additional requirements aren’t identified until you’re in the middle of implementation.

JIFFY.ai’s Automated Invoice Processing Software HyperApp for Reduced TCO

The JIFFY.ai Automated Invoice Processing HyperApp combines the power of Artificial Intelligence with the efficiency of RPA to give you an all-in-one, ready-to-install automated invoice processing software Accounts Payable automation solution. We help your organization to maintain high-quality invoice data with improved processing times, zero errors and absolutely no hidden costs.

Here’s what our HyperApp offers:

• Supports Cloud-based Saas or on-premise/private cloud solutions
• Pricing based on volume of invoices processed per year – not a licensing fee
• Zero additional or hidden technology/implementation costs
• Best-in-class guarantee of cost for invoices processed
• Scalable solution for the long run
• Easy to configure workflows for adding new suppliers, processing rules, or adjusting the process overall
• Integrated cognitive workflow with Machine Learning, making automated cognitive decision-making a reality 

Our customers have reported reduced invoice processing costs, errors, and time spent on the invoicing process. Higher levels of automation with the cognitive learning ability in JIFFY.ai’s HyperApp has helped reduce transaction and implementation costs, as well as TCO.

Bring Home Lower TCO with JIFFY.ai’s Automated Invoice Processing Software

Automated invoice processing software solutions are available to help companies optimize and expedite the invoicing process. However, hidden costs in implementation can derail the savings and improvements quickly.

Therefore, it is essential to have clarity regarding optimizing the “real” TCO of the Accounts Payable automation solution. It should be one that doesn’t have any hidden costs and pricing based on the number of invoices processed per year, not on the number of procured licenses. JIFFY.ai’s Invoice Processing HyperApp can optimize your invoicing process with advanced intelligence and lowered TCO for your organization. Contact us to request your demo today.

Have you ever said, “Let’s start small and then build it up based on how it goes,”? You sure have. So have most of us. In our world, this is typically how all automation begins.

During the initial days of robotic process automation (RPA), organizations were mostly skeptical. They saw potential but were unsure of real impact.

So, they tried it out for small non-critical functions — they wanted to minimize risks. Understandably. Say, the finance department would automate one task in the Accounts Payable first such as reading data from a file and transferring that to the ERP system. However, other aspects of the Accounts Payable process would continue to remain manual. Also, understandable.

This is what is called partial automation — quite literally, automating just a part of something much bigger.

But why would anyone do that?

In fact, there are plenty of reasons for handling automation this way.

For one, the earliest automation systems could only automate basic screen capture – in other words, anything that couldn’t be seen on a screen would break the process and need manual intervention.

Some of them are financial — end-to-end automation is more expensive and incurs higher opportunity costs to run business-as-usual in the interim because every sub-task would need investment in a bot. Partial automation, on the other hand, was cheaper. Organizations could pick a few bots for shorter processes and pay-as-they-go. This also helped them understand the effectiveness of automating and calculate ROI in the longer term.

Some industries worried about security. A bank would use RPA tools to move data from a front-end system to a legacy back-end system but wouldn’t let bots analyze their customer data. Even to this day, security remains an important reason companies choose partial automation. Why risk exposing critical data while their mandate – bolstered by regulatory requirements – is to protect it and keep it confidential?

Some others just weren’t ready for end-to-end RPA — automating a process end-to-end would necessitate standardization of formats, fields and rights, and that requires an investment of finances, as well as time and energy from their internal teams.

It also didn’t help that monitoring each automated process or bot was not easy. So, there was greater risk of broken automation if the scope was end-to end.

The initial RPA landscape had its limitations, lacking seamless integration with the human input when the time came for decision-making and without a human-in-the loop concept.

Most also feared that they might not have the people trained and equipped to intervene and improve the end-to-end RPA, making it a bigger risk. Partial automation is less demanding.

To be clear, in all these cases organizations certainly understood the value of RPA, invested in partial automation and derived value from it. Most of them are “somewhat happy” with the results their RPA systems are delivering.

Partial automation only provides partial success. Why?

Process measurement issues: Partial automation meant that a major part of the processes still had to be done manually, so there was no way to measure the ROI per process or per team/department. In other words, there was no way to make a strong case for automation because the results couldn’t be measured objectively.

Efficiency deficit: The improvement in overall process efficiency, while automating only a part of it, can often be so minimal it doesn’t seem worth the effort.

Savings deficit: As efficiency is only marginally improved, cost savings also end up being marginal.

Stagnation: Partial automation can be a dead investment without the bot’s ability to learn, adapt or grow with the needs of the organization. Likewise, it can be a dead investment if the organization doesn’t have the ability to see and manage how automation is being applied across the enterprise.

Resource blocking: Without the ability to improve intelligently, partial automation still needs people to fill its gaps. This means that people continue to work on mundane tasks, leading to low productivity, fatigue and dissatisfaction.

Right, so is Intelligent Automation a possible end-to-end solution?

Intelligent or Cognitive Automation in its simplest form, is an intelligent version of RPA — one that can learn from the data and apply it to present needs. Automation can become limiting when not supported by the learning capabilities of AI, which is where intelligent automation comes into the picture. It is flexible enough to understand and adapt to non-templatized data inputs. It can process structured, semi-structured and unstructured information with ease.

Take JIFFY.ai’s cognitive automation tool, for instance. It is able to read and extract non-templatized information. Even in cases where JIFFY.ai doesn’t understand or cannot read certain parts of the document, it will extract all the other parts and reduce manual intervention to a bare minimum. This way, with cognitive RPA, you can automate the entire process, not just a part of it.

With its ability to learn, cognitive RPA is also scalable. As a business becomes more complex and processes more intricate, cognitive RPA can learn and grow along, making the ROI significant in the long term. For instance, intelligent automation systems that trigger alerts to floor supervisors in a manufacturing unit can learn to spot newer anomalies over time, making all aspects of productivity, quality and capacity predictable. Enterprises are addressing their requirement for end-to end automation using a combination of RPA tools (for repetitive tasks), BPM tools (for process management), OCR , IDP tools (for document extraction), Data platforms for data streaming and beyond.

Instead, a platform that makes all of these features available in a single stack can help save costs and time, and also translate to easily calculable returns over a period of time. This way, they can adopt cognitive RPA for all processes, interconnect them and enable them to work in tandem.

Cognitive RPA also comes with basic skills. Pre-built RPA systems, customized for industries and functions, are now available with the ability to hit the ground running immediately. Once installed, they are in auto-pilot mode needing very little help from people, even for setup, training or maintenance.

With prior knowledge, pre-built cognitive RPA solutions can automate end-to-end with a more meaningful understanding of the process landscape.

With cognitive RPA, the solution is no longer piecemeal. Unlike partial automation, cognitive automation impacts the entire value chain.

Today’s context

The global situation businesses face today is a reason for organizations to take seriously how end-to-end automation can help them to be more resilient in the face of crisis.

As an example, a large automaker based out of Europe has worked with JIFFY.ai in automating their financial processes. This truly helped them recently when there was no business shutdown in their country, and they continued to send in their documentation to JIFFY.ai’s offices where physical offices were shut down. Thanks to automation, backend support continued seamlessly while production continued as planned.

It is completely understandable if you have a partially automated system now. It made sense in its day. But today, to see the real value of automation, end-to-end cognitive automation is the way to go. With a clear view of the entire system, end-to-end RPA will be able to bring together various processes into a smoother journey, be it for your customers, vendors or employees. It will also future-proof you as the system understands your existing processes and can expand to accommodate newer ones.

If you have adopted partial automation and aren’t fully realizing its potential, speak to one of our consultants to explore newer avenues. We understand where you are and we’re happy to help.