AI in banking and financial services: Trends for 2026

This article is written by our partner, Finastra

Artificial Intelligence (AI) is redefining the financial services landscape, shifting from backend automation to a catalyst for resilience and competitive differentiation. 2026 is poised to be a pivotal year for the widespread deployment of AI in financial services. It is expected to move from experimentation to enterprise-wide deployment.

Here, we will discuss how AI has been used in finance to modernize operations, identify the trends predicted to surface in 2026, and how this will reshape the industry going forward.

The current state of AI in financial services

AI in banking and finance is being implemented to transform infrastructure across payments, wealth management, and fintech. With AI’s rapid expansion in the industry, the market is projected to grow from USD 38.36 billion in 2024 to USD 190.33 billion by 2030.1

Globally, AI has become a prominent area of investment, with venture capital accelerating and early-stage startups demonstrating the ability to achieve more with less capital due to generative AI. Generative AI itself has already driven a profound transformation in the industry, but it still sparks industry curiosity as to what will happen next. From upgrading service delivery and customer satisfaction to streamlining data research and financial modelling, the benefits are becoming obvious.

Key trends: The future of finance in AI in 2026

Trend 1: Hyper-personalization in AI banking

Many organizations are increasingly leveraging machine learning in finance to streamline operations, reduce manual tasks and enhance efficiency across core processes. However, hyper-personalized banking and investment experiences are becoming a key differentiator, enabling banks to tailor products and services to individual customer needs.

In the near future, we could see AI managing even more complex queries. Through advanced algorithms that analyse spending patterns and life events, generative AI in finance may start to offer personalized options to customers before they arise. With this level of tailored decision-making and human understanding, AI in banking has the potential to coexist permanently with traditional customer service by delivering faster, consistently high-quality support at scale.

With the integration of such complex machine learning, the need for stricter governance is more vital than ever. Regarding the deployment of generative AI in banking, the enforcement of ethical AI is crucial to prevent bias, protect customer privacy, ensure accountability and maintain transparency. This includes investing in AI training for all employees to provide a baseline understanding of systems and data processing. Without this responsible approach, banks will lose their competitive edge and customer loyalty despite boasting the latest AI innovation.

Trend 2: Generative AI as a game-changer

Generative AI is transforming the financial sector by driving innovation in document generation, reporting and advisory services. It has been a game-changer across the global banking sector, particularly in content creation and information retrieval. Plus, GenAI tools support underwriting, risk modelling and loan servicing by rapidly interpreting large volumes of data and contracts.

As research by McKinsey highlights, “generative AI could add $200 billion and $340 billion in value annually across the global banking sector.” Generative AI also influences market sentiment analysis, using machine learning to interpret the emotional tone of text, such as reviews, feedback and social media posts. We have predicted that the use of generative AI in finance could deliver between $2.6 trillion and $4.4 trillion in economic benefits.

It is important that financial institutions (FIs) consider the risks associated with generative AI use in financial services, including data privacy vulnerabilities, regulatory uncertainty and explainability challenges. A particularly interesting phenomenon that has arisen is AI hallucinations, in which LLMs perceive patterns or objects that do not exist. Serious ethical complications can arise from this, the most detrimental being the spread of misinformation.

By partnering with fintechs and technology partners, like Finastra, regulators can prioritise governance frameworks, including secure guardrails, robust monitoring, human oversight, and clear accountability, to ensure the responsible and ethical adoption of AI.

Trend 3: Agentic AI in banking

The shift toward agentic AI in banking and financial services represents a significant evolution from traditional, reactive AI chatbots and rules-based robo-advisors to autonomous systems capable of making real-time decisions, executing complex workflows and continuously learning from data. These AI agents can monitor transactions, detect fraud, streamline operations and adjust actions dynamically.

Looking ahead to 2026, agentic AI use in finance is poised to deliver significant short-term gains for banks while enabling deeper operational transformation over time. By serving as an “always-on” relationship manager, agentic AI agents will negotiate personalized products in real time, balancing customer preferences with bank risk and regulatory constraints. Our research indicates that agentic AI will drive a 20% increase in operational efficiency, and banks that leverage AI earn a 15% greater share of the market.

This shift highlights the need for modern, composable core banking systems that can support autonomous decision-making at scale, laying the foundation for the next generation of AI in finance. However, banks must be cautious as agentic AI’s continuous learning demands massive data storage and strict compliance with complex regulatory and ethical requirements. As with large-scale use of generative AI in financial services, this poses significant risks if not properly governed.

Trend 4: AI-driven fraud detection and cybersecurity

In 2026, AI in finance and banking will increasingly focus on embedded tools for anti-money laundering (AML), Know Your Customer (KYC) and Know Your Business (KYB) systems. Moving from basic automation to adaptive, real-time intelligence, FIs will improve onboarding accuracy and strengthen risk management.

As Keyrus notes, two key components that will influence optimized cybersecurity and fraud detection in 2026 are quantum-enhanced detection and multimodal threat detection. The former introduces a hybrid system that fuses quantum-enhanced computing with AI to analyze vast amounts of data and identify fraud patterns that extend across multiple institutions and jurisdictions. The latter combines behavioural biometrics for authentication with document verification and deepfake detection to identify suspicious activity across a range of accounts.

These represent a shift from traditional, manual checks and static rule-based compliance, enabling faster, more accurate onboarding and proactive risk management. As these trends advance, FIs will rely on AI to enhance regulatory compliance, reduce fraud and streamline verification processes, making it a central component of modern banking and fintech operations.

Trend 5: AI use and sustainability in FIs

Another trend predicted for 2026 is the use of machine learning in finance to measure carbon footprint. AI tools have the potential to bridge the gap between banking and sustainability, creating personalised sustainable investment recommendations, automated carbon tracking for clients and greater transparency in ESG data.

According to research by Forbes, AI-augmented tools have the ability to provide greater transparency to customers by enabling real-time insights and auditing, thereby making it simpler for companies to substantiate their credentials and protect against claims of greenwashing. While greenwashing has previously eroded confidence in sustainable finance, AI offers a practical way forward. By verifying ESG data, AI enhances transparency, improves risk management and enables stakeholders to make better-informed decisions

Additionally, recent trends show a significant increase in the issuance of green bonds, which are likely to become increasingly prominent across wealth platforms in the near future. To address the ongoing threats to the integrity of GSSS bonds, AI can play a critical role. In particular, Natural Language Processing (NLP) can be used to assess potential risks and anticipated impacts, while flagging areas that require closer review. Driven by stricter sustainability regulations, AI implementation could help the financial industry move toward a greener future.

Trend 6: Open banking continues to grow

Open banking is expected to expand from BaaS platforms to orchestrated ecosystems, sharing not only account data but also savings, investments and insurance through secure APIs. This allows AI to offer personalized services, real-time insights, and smarter financial decisions. APIs enable banks to connect their services, such as payments, lending and credit scoring, to fintech partners and other applications. At the same time, embedded finance brings these services directly into everyday platforms, marking a shift toward a more integrated and seamless experience for financial institutions.

Preparing for an AI-focused 2026

As institutions prepare for 2026, the use of AI in banking and other financial services has become the strategic backbone of future-ready transformation. Leading organisations are adopting phased AI implementation and are strengthening human-AI collaboration. The opportunities ahead are significant, ranging from hyper-personalised banking and agent-based automation to AI in financial forecasting and intelligent fraud detection. However, institutions must also balance these with risks such as explainability gaps, regulatory complexity, cybersecurity threats and the potential for AI-generated errors.

To succeed, FIs must responsibly embrace the future of AI in finance and build ecosystem partnerships that accelerate innovation.

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By Alex Cannon

Across 111 European public tenders for treasury systems, training is named in 47% of notices. The highest-ranked treasury capability is FX and hedging, at 13%.

uropean public bodies have to write down what they want from a treasury system, in public, before anyone can bid.

It all gets published on TED, the European Union’s procurement journal.

I looked at 111 notices, published between May 2018 and October 2026.

Training appears in 47% of them.

After that, the highest-ranked treasury capability is FX and hedging, at 13%.

Why I am raising this

A product that a qualified professional cannot operate without a course has been designed badly.

This market has stopped treating that as a defect and started pricing it in instead.

Some training is unavoidable. A treasury system touches bank mandates, approval limits and payment files and no amount of good design removes the need to show a new user how a particular organization has set those up.

A degree in the domain, 40 hours of instruction and a consultant on call is not that. That is a product nobody can learn by using it.

The newer products in this category are not like this. You open one, click around for an afternoon and it explains itself.

So why are buyers still signing for dinosaur software and then signing again for somebody to explain it?

Why a buyer budgets for training at all

Nobody buying a treasury system is new to treasury.

The people who will use it know what a forward contract is, what a cash position is, which balances get swept at the end of the day.

The training in these notices is not teaching them their job. It is teaching them the product.

What they are paying to be taught is where things are, what the screens are called, which order the steps go in and what the system wants before it will let you do the obvious thing.

The European Central Bank bought its treasury management system in 2018 for €16,534,744. Since then it has signed two consultancy frameworks for that same system: €7m in 2020 and €11.7m in 2025.

That is €18.7m to be helped with a system it paid €16.5m for. The advice has outgrown the software, at an institution staffed with some of the most qualified treasury professionals in Europe.

A degree in the domain, a budget to learn the software and consultants on retainer for the parts that stay unclear.

Does nobody else find this strange?

Where training ranks

Share of 111
Training46.8%
Cloud or SaaS delivery21.6%
FX and hedging12.6%
ERP integration12.6%
Cash flow forecasting10.8%
Debt and investment10.8%
Reporting and dashboards10.8%
Multi-entity groups8.1%

Why it comes out as “training”

Nobody writes “this software is confusing” into a procurement document.

You can write 40 hours of training into a contract. You can name a number of sessions, a count of on-site days, a trainer’s qualifications. All of it is enforceable, it survives legal review and a bidder can put a price on it.

You cannot write “make it obvious” into a contract.

So the learning curve gets stated in the only currency procurement accepts, which is people and days. Training tops this list not because treasury teams want courses, but because it is the one line where a buyer can put a number on the distance between signing and competence.

What a buyer can take from it

Score time-to-competence. Half your peers write training into their requirements.

If “how long until my team runs this without you” is not a line on your scoring sheet, you are scoring a different purchase than the one you are making.

The demo is run by the person who wrote the training. Ask what the fifth week looks like for somebody who wasn’t in the room.

And read a few notices yourself.

Public bodies publish requirement sets at a level of detail corporate buyers keep private, written by people who had to think a whole project through before they were allowed to publish anything.

If you are a young vendor, most of these are not for you

Public tenders look like an open door. They mostly are not.

A public buyer has to justify the decision in writing, to people who were not in the room.

That incentive produces the oldest reflex in enterprise software: nobody ever got fired for buying IBM.

The notice encodes it, through reference requirements, revenue and insurance thresholds, years of comparable deployments and a scoring sheet that rewards the familiar answer.

Nearly half of the treasury software awards that reported a bid count drew a single bid, which is the sound of a decision made before publication.

Unless you hold something specific, an existing relationship with the buyer, a local presence the notice requires, a capability in the specification few others can meet, bidding is an expensive way to lose.

What is useful in these documents is not the opportunity. It is the requirement set, telling you what the incumbents are being paid to compensate for.

What clarity is worth

None of this is the consultants’ fault. If a system takes a month to explain, somebody is going to get paid to explain it.

That is real work and there is real demand for it.

What I keep coming back to is how calmly it gets signed off. Nobody at the ECB had to argue that the treasury system was hard to use. The money went through as consultancy, twice, five years apart and the word “confusing” never had to appear in a document.

So if you are building in this category, that is the number to look at.

You do not have to beat them on functionality. You have to be the system a treasurer can open on Monday and use by Wednesday with nobody sitting next to them.

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This article is a contribution from our content partner, PrimeTrade

I never would have thought, at the start of my emerging career as a trade banker, supply chain financier and potential “Master of the Universe” (per Tom Wolfe), that debit notes would be interesting, and that thirty years later I might be writing a blog about them.

But here we are!

It is quite a long post, but this is a topic that merits a detailed treatment, even if the subject matter is rather dry and somewhat technical.

Myths and realities

This post sets out five myths about invoices and debit notes.

These myths can lead to various confusions, complications and inefficiencies when it comes to supply chain finance.

The post aims to set out clearly how things normally work in the real world of general ledgers and corporate ERPs. It also digs into the implications for SCF and for the design of platforms that help suppliers to access supply chain finance.

There are generally three strategies used to deal with debit notes in supply chain finance – and these are covered in the final section.

With the right design and approach, debit note recovery can be automated and fully-optimised – no more spreadsheets, no more manual tracking, and no need to get suppliers to deduct debit notes from future invoices.

What is a debit note?

A debit note acts as the evidence in the buyer’s books for a reduction in its expenses.

So it is issued by the buyer’s accounts payable team to a supplier when the buyer seeks to pay less than it has been invoiced.

For supplier financing transactions (including SCF), a debit note can be an unwelcome event. If an invoice has been financed and even purchased by a financier, the financier typically relies on the invoice being paid in full.

Myth #1: invoices can be “approved” or not approved

What if I told you that “invoices always get approved”?

A valid invoice is one that is properly addressed, is from a recognised counterparty (ie: a supplier), has the right taxes on it shown in the right way, and which adds up correctly.

Valid invoices always get approved and there is a good reason.

This is a fundamental part of the way financial controls work. A valid invoice has been received representing a claim for payment from a supplier and it will be posted in full to the general ledger.

If this didn’t happen, we would get in a mess very quickly. Accounts payable teams cannot use their discretion and post valid invoices to the general ledger with whatever numbers on them they decide might be right.

Audits would be failed and financial controls would have broken down.

If the invoice from the supplier is for an amount that is too high (for whatever reason), a debit note is raised by the buyer so the supplier gets less money. The question is “what’s the debit note?” not how much of the invoice should be approved.

Some accounts payable teams will, alternatively, ask the supplier to raise a credit note and the invoice remains pending and not posted until the credit note is received. Here, for ease of explanation, we assume the debit note route is the one that the accounts payable team uses.

Myth #2: Payables are the same as invoices

In the ordinary course of business, accounts payable teams in corporate clients approve payments and not invoices.

A few key points:

  1. Valid invoices are posted to a supplier account in the general ledger at the full amount demanded by the supplier (see above). If debit notes are raised, they are also posted.
  2. The amount due to the supplier is the balance on the supplier account in the general ledger – equal to invoices posted less debit notes posted.
  3. When it comes to paying a supplier, it is the outstanding and due balance on the supplier account that is settled. The due balance is calculated by taking all the items posted to the supplier account that are due on or before the current date, summing them up and subtracting payments already made.
  4. The result is a payable amount – a figure that will be settled to the supplier, usually via a payment run. That figure may be made up of many individual transactions (invoices, debit notes and credit notes). The key approval step is at the time of the payment run.

This makes supply chain finance and supplier financing tricky – since bankers and lawyers like to think in terms of transactions rather than balances.

Bankers purchase invoices not balances.

Debit notes do not conveniently fit into this model.

Whilst the corporate client may be settling a balance that is due to a supplier (invoices less debit notes),

bankers want the invoices that they have purchased to be paid in full to them.

This is also one of the two main reasons why many corporate clients operate an all-or-nothing model with suppliers when it comes to supplier financing.

  • Reason 1: if all the supplier invoices are financed by the same bank, there’s no need to try and unpick a balance that has been settled and split it into individual invoices.
  • Reason 2: nothing to do with debit notes, so just mentioned here for completeness: most general ledgers cannot handle more than one account payee record per currency – so this one record gets changed from the supplier banking details to the financier banking details and then all the money due to the supplier simply goes to the financier. Again, this avoids the need to try and split the payment into the individual invoices involved.

These two reasons mean SCF programs can lose a lot of agility. There’s no easy way to move suppliers between financiers, and no easy way to have dynamic management of funding, switching suppliers between financiers whenever needed (even daily) to optimise the use of limits and mix in own treasury funds as a funding source.

Myth #3: debit notes are somehow “outside” SCF

I made a statement earlier about “valid invoices always being approved”.

The key question for the accounts payable team when they are deciding what the supplier might be owed is not how much of the invoice to approve.

The key question is: how big should the debit note be?

Yes, that’s right. The full amount of a valid invoice is always posted to the ledger but if there is a reason to pay less than the full amount, then a debit note needs to be raised.

The questions being answered by the accounts payable team reviewing purchase orders, delivery paperwork and the invoice (ie: the 3-way match) are (a) whether a debit note should be raised and (b) how much it should be for?

For example, the invoice face value is 100, but there is a shortage on the delivery of value 5. So that means the invoice of 100 is posted to the ledger, and a debit note of 5 is created and posted – and 95 is the balance on the supplier account, which is what will be settled in due course.

As stated above, the general ledger is an account-based (ie: balance-based) system.

The supplier account is credited with the full amount of the invoices and debited with debit notes to reach the correct amount that should be paid to the supplier when a payment run is operated.

So what is the bank buying when it provides supplier financing?

  • The amount due under the invoice (without set off, counterclaim etc), or
  • the amount payable in respect of the invoice at the time of purchase, which could include amounts that are already planned to be netted from the invoice payment.

Is it an “approved payable” (an invoice that is net of specified debit notes) or is it an “approved invoice” (due at face value without deduction)?

This is a key documentary point and one which might not always be clear in the paperwork used to support supply chain finance. On the one hand, the bank wants to buy invoices free and clear of any debit notes. On the other hand, the corporate client may well want the ability to net pre-existing debit notes (at the time of financing) against those invoices.

Is the IPU for the same amount as the invoice? What exactly is the claim that the bank is buying and relying on here – the invoice or the payable amount (at IPU creation-time) in relation to each invoice? If the supplier financing is documented on the basis that the bank is buying the IPU (and not the invoice) – query the accounting treatment and whether the arrangement might then become financial indebtedness in the books of the corporate obligor?

Myth #4: debit notes specifically relate to invoices

Debit notes “sort of” relate to invoices – but this is an artificial construct and not one that is required in the ordinary course of business.

Companies typically want to collect claims (debit notes) against suppliers immediately. Why wait?

Invoices are posted with a due date (in the future) that reflects when the amount claimed by the supplier should be paid.

Debit notes are often posted with an immedate due date.

That means debit notes are usually collected by set off against the next amount due to be paid to the supplier – ie: as soon as possible. There’s no waiting.

That would be the case even if the debit note might relate to a delivery where the invoice(s) for that delivery are not due to be paid for many days.

And debit notes may also arise that are wholly unconnected with individual deliveries – for example, where there are volume rebates or programme-wide discounts to be recovered.

As mentioned above, settlements clear the due portion of the balance outstanding on the supplier account.

The settlement is calculated by adding up all the transactions that are due and ignoring future-dated transactions. The debit note is always due immediately and is included as soon as possible in any payment that is made to the supplier. The invoice may be due in the future and has to wait.

The idea that this specific debit note goes with that specific invoice is typically a myth when it comes to the practical reality of payables and settlements.

Myth #5: we can ignore debit notes in SCF

Most platforms ignore debit notes. These are “someone else’s problem”.

That’s why many accounts payable teams don’t like supply chain finance and specifically prefer to limit the size and scope of programs to a handful of large suppliers.

And many SCF platforms ignore debit notes completely.

Corporate clients are expected to provide them with a nice and tidy file of “approved payables” which are guaranteed to be paid in full no matter what else may be going on.

This makes life easy for the platform and easy for the bankers and lawyers involved.

But this also makes life complicated for the corporate accounts payable team.

If clean “approved invoice” or “approved payable” files are to be provided to the SCF platform, this typically means that:

  • debit notes cannot be posted to the general ledger in the usual way
  • debit notes have to be tracked “off-system” with recovery of the debit notes handled away from the settlements and payments process.

This can mean that many clients end up failing to collect all the debit notes that they might claim, or end up having to track debit notes manually in excel and away from the general ledger. This all leads to extra work for everyone, compromising financial controls and adding costs and complexity.

Debit notes and SCF – are there solutions?

Yes – it requires a modern approach to the way that the supply chain finance platform is developed and operates.

There are three approaches:

  1. Manual: Corporate accounts payable teams handle the debit notes away from the SCF program with manual tracking and recovery. SCF program is then simple as it is fed with an “approved invoice” file and all invoices are simply settled at their face value. Debit notes are tracked in a spreadsheet and suppliers are required by procurement teams to deduct them manually from future invoices.
  2. Delay debit notes: The corporate accounts payable team runs two processes:
    • Debit notes are allocated to invoices before they are included in the file transmitted into the SCF platform; early payments to suppliers are then net of debit notes that were outstanding at that specific moment; and then
    • Those invoices that are in the SCF program are then ring-fenced from the further application of debit notes against them by the accounts payable team – so the SCF financier is not exposed to any netting and will be paid in full. This requires some careful management of posting processes and dates applied to debit notes in the ERP to ensure debit notes are not deducted from financed invoices. One way to do this is to post debit notes with future due dates to defer processing and delay their recovery, leading to earlier due invoices that are financed always being paid in full; this is a cost to the business though.

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This article is written by our partner, Cobase

Oracle NetSuite is a cloud-based ERP platform designed to bring core business processes together in one environment, spanning financial management, reporting and consolidation as well as areas such as billing, projects, CRM and operations. Its multi-entity and multi-currency capabilities make it particularly relevant for organisations whose financial complexity increases as they expand internationally.

Around the core ERP sits a broad ecosystem of implementation partners, technology providers and integrated applications. As companies scale, this ecosystem becomes increasingly important. The ERP may sit at the centre of the finance architecture, but it also needs to connect effectively with the wider financial landscape, including banks, payment providers and other specialist applications.

One of the partners operating in this ecosystem is Novutech, a European finance transformation and NetSuite specialist supporting growing and international organisations with ERP implementation, integration and optimisation.

We spoke with Marta Obrador, Director, Business Transformation Practice & UK Lead at Novutech, about the type of companies NetSuite is best suited to, what makes ERP transformations successful and why bank connectivity should be considered as part of the wider finance architecture.

What type of companies are the best fit for NetSuite, and what makes the platform stand out from other cloud ERP solutions?

“For me, the best fit is really a company in motion: a business that is scaling quickly, expanding internationally or simply dealing with increasing financial complexity.

As organisations add entities, markets and currencies, finance needs more structure without creating more fragmentation. That is where NetSuite is particularly strong. It gives companies a single cloud-based foundation for financial management, consolidation and broader operational processes, while still giving them room to grow.

What matters is that finance teams gain the structure and visibility they need without having to redesign the whole environment every time the business changes.”

As an implementation partner, where do you add the most value and what do successful ERP projects tend to get right from the start?

“Our value lies in connecting people, processes and technology. An ERP project is never only about implementing a system. You also need to think carefully about how people will use it and how the processes around it should work.

The strongest projects usually get a few fundamentals right early on: clear ownership, good-quality data, the right integrations and, importantly, clear priorities.

I also think focus is critical. Companies sometimes try to solve everything at once. The better approach is to focus on what really matters, make good use of best practices and build a realistic path to adoption. That creates a much stronger foundation for the transformation.”

How are customer expectations around finance and treasury changing, and what does that mean for the role of the ERP?

“Finance is moving away from simply recording what happened in the past. Teams are increasingly expected to provide insight, support decisions and help shape what happens next.

That changes the role of the ERP as well. It needs to become a trusted platform for decision-making, not just a place where transactions are recorded.

At the same time, the ERP cannot operate in isolation. If you want finance processes to become truly efficient, it also needs to connect well with banks, payment processes and the wider finance technology landscape. That is where the conversation increasingly moves from ERP alone towards a more connected finance architecture.”

Where does ERP-to-bank connectivity typically become challenging, particularly for companies operating across multiple banks and countries?

“The real challenge is not usually connecting to one bank. Complexity starts to build when a company has several banks, entities, countries, accounts and payment formats, but still wants one consistent process.

Without the right connectivity layer, that complexity often ends up with the finance team. People are moving between bank portals, uploading or downloading files, fixing exceptions and reconciling transactions manually.

As the organisation grows, that becomes increasingly difficult to scale. You may have implemented a strong ERP, but if the banking side remains fragmented, a lot of manual work still remains. Ideally, you want to abstract that complexity away from the finance team.”

What does a strong ERP-to-bank setup look like to you, and what should companies consider when designing it?

“For me, a strong setup creates one trusted flow from payment creation in the ERP through to bank execution and then back into reconciliation and reporting.

Automation is obviously important, but it should never come at the expense of control. You still need clear visibility, the right approvals and enough flexibility to support how the organisation operates.

Companies should also think beyond the situation they have today. If you know you are likely to add entities, countries, banks or accounts, the architecture needs to support that. It is much better to design connectivity as part of the overall finance architecture than to keep adding separate bank interfaces over time.”

Why do you like working with Cobase, and what does combining your ERP expertise with Cobase’s banking connectivity bring to customers?

“What we like about the combination is that it extends the value of NetSuite beyond the ledger and into the day-to-day banking and treasury processes.

NetSuite provides the financial core, while Cobase creates a consistent connection between that core and the banking landscape. For internationally growing companies, that is particularly relevant because the number of banks, accounts and entities can increase quite quickly.

Customers should not have to choose between having a strong ERP and having strong banking connectivity. By combining our NetSuite and transformation expertise with Cobase’s multi-bank connectivity, we can help create a finance architecture that is much more connected and scalable.”

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