The financial sector faces challenges. For example, banks, insurers, proxy credit managers, collection agencies accounting firms have to deal with strict regulators, complex and increasing compliance and reporting requirements, a multitude of data, staff scarcity and demanding customers who expect speed and convenience. More hands doesn’t work (and there aren’t any) and core systems don’t offer the right functionality or evolve fast enough. Employees still spend much of their time on repetitive administrative processes, manual checks and working with fragmented, unwieldy systems. This slows innovation and hinders focus on customer value.
Tacstone Technology develops flexible and very rapidly realizable custom solutions in RPA, AI (agents) and low-code on top of core systems. These automate manual processes, use data smarter and connect systems to each other. As a result, employees gain time and space to focus on what really matters: risk management, customer relations and sustainable growth.
What does our automation provide?
Less manual work
More efficient processes and smart automation reduce manual work and reduce the risk of errors.
Better data
Data is checked for accuracy and completeness and corrected where necessary.
More attention to the customer
Digital assistance and automated processing speed up service delivery and strengthen customer relationships.
Better use of talent
Teams will have more room for analysis, consulting and innovation, supported by AI-driven insights.
These companies went before you
Examples of smart automation in Financial Services
We work with insurers, proxies, accountants and credit management organizations to make processes more efficient and smarter. Some successful applications:
Faster and error-free policy and claims management:
- Automatic processing of claims, policy changes and renewals
- Instant acceptance and mutation without manual checks
- Real-time insight for intermediaries and customers
Efficient credit management and debt collection:
- Automatic processing of invoices, payments and records
- AI-driven alerts for effective risk management
- Dashboards and reports that are always audit- and compliance-proof
Optimal deployment of people and resources:
- Less time spent on repetitive administration through automatic entries and reconciliations
- Smart workflows for VAT returns, reports and general ledger updates
- Staff focus on risk assessment, advice and customer relations
Administrative relief and compliance:
- Fully automated reporting and internal controls
- Flawless integration of financial data between finance, sales and management
- Portals and systems that accelerate collaboration with customers and partners
Hear from our users
“Although the robot automates manual operations, the employee is still responsible for checking: you check to see if the robot has done the job correctly and pick up what the robot has not been able to handle.”
“What started as an experiment about four years ago had grown into an integral part of the organization. With that came the need for structure.”
“They were almost DSB employees at one point, that’s how well they understood the processes.”
I want to get started with robotization, AI and/or low code, but how do I get started?
Start with a clear goal: what problem do you want to solve? Keep the rule of thumb: repetitive work → RPA, smart analytics → AI, fast apps → low-code. Always start small, for example with one process that takes a lot of time and adds little value. Run a pilot, measure the results and involve employees for support. Choose tools that fit your IT environment and only scale up when the first steps are successful. With a Discovery approach, Tacstone helps to link goal and approach in concrete terms.
Isn't customization much more expensive than standard packages?
It doesn’t have to be that way. Standard packages are often cheaper and faster to implement, provided your processes are a good fit with what the package offers. Once many workarounds or customizations are needed, customization can be more advantageous. Platforms like Mendix, UiPath or Microsoft allow you to build customization quickly and flexibly. That way you get a solution that fits your healthcare process perfectly. In the end, you often save costs by eliminating inefficiencies.
What is the difference between low-code and RPA?
RPA(Robotic Process Automation) fully automates repetitive, rule-driven tasks, often without human intervention. Low-code, on the other hand, focuses on developing interactive apps that employees and clients can work with. Examples of RPA are automated claims or patient enrollment, while low-code solutions are, for example, a client portal or scheduling tool. In practice, RPA and low-code often complement each other. By integrating with AI, the possibilities are becoming broader and smarter.
For which proxy and insurance processes are RPA, AI and Low-code appropriate?
RPA, AI and Apps can be used for virtually all processes within the power of attorney and insurance industry. Examples include processing Claims, processing incoming emails, performing cancellations and real-time processing of power of attorney portfolios. Is your process not on this list? No worries, get in touch and we can conduct a no-obligation intake.
What accounting processes can you automate with RPA, AI and Low-code?
RPA, AI and Low-code can be used for most processes within accountancy. So for the compilation practice, audit and also for support activities. Our technology can be used for client onboarding, performing wwft checks, processing bank receipts and incoming invoices and performing Journal Entry Controls. Is your process not in this list? No worries, get in touch and we can conduct a no-obligation intake.
How can AI be used for credit managers?
Within credit management and receivables management, there are broad applications for AI, RPA and Low-Code. These include processing debtor mailboxes, creating and managing payment schedules, paying out credit memos and performing numerical analysis. Our technology works well with all core receivables management applications such as Onguard and Oracle.
Does RPA work on my desktop applications?
Yes, RPA works well for almost all core applications. Web applications as well as desktop and legacy. Where possible, the technology is applied with background API integrations and otherwise through the user interface (UI).
Our technology works well with the likes of CCS Level, ANVA, KeyLane, E-Blinqx, AS400, CED-Connect, Onguard, Oracle, Key2Finance, CollectOnline, Praclox, AFAS, SAP, Exact, Twinfield, Caseware, Loket, Hix, Zenvoices and Basecone.
Will my AI data be stored and processed securely?
Yes, during our processes we handle data securely. Our technologies used UiPath, Microsoft and Mendix are industry leaders and store data securely within the Netherlands and Europe. Where possible or necessary, we also help clients to host and store data themselves via a local server base or Azure environment. We also offer personalized advice and training on how to safely use available AI applications such as Chat GPT and Copilot.
How long does an automation course take?
The duration of an automation project obviously depends on what is being implemented, but on average your first robot can be live within 3 months. The development time is considerably shorter than for traditional software projects and can be fully personalized to your operations and processes. This ensures a quick implementation and also a quick payback period.
What does an RPA, AI or Low-Code journey cost?
The cost of an RPA, AI or Low-Code journey varies by type of implementation. This can start quite low and increase with complex scenarios. Implementing RPA, AI and Low-code, however, is always cheaper than purchasing custom software and is often even cheaper than standard software packages. There are also lower licensing costs associated with this. The average payback period of our projects is between 6 and 12 months.
Is RPA resilient to changes in the application?
During development, the robots are developed to be as robust as possible. This means that minor changes do not impact the stability of the process. In case of necessary changes due to major changes or updated laws and regulations, robot scripts can easily be adjusted and back to work the same day. This provides the necessary flexibility for a volatile environment.
FAQ
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