AI, automation and digitalization for banks & insurance companies

Operational excellence through artificial intelligence for banks and insurance companies. We develop AI solutions for your core processes through intelligent automation.

AI in Finance Industry

Increasing regulatory pressure, outdated IT landscapes and a high level of manual effort in the back office are putting pressure on the cost-income ratio (CIR) of financial institutions and insurers.

In this restrictive environment, intelligent technology is the decisive lever for remaining competitive and resilient.

ROOVER supports banks, insurance companies and financial service providers in future-proofing highly transactional core processes using artificial intelligence, intelligent document processing (IDP) and robotic process automation (RPA).

We close the gap between strict compliance and operational efficiency with strategic vision and pragmatic implementation strength.

What impact will AI, digitalization and robotics have on banks and insurance companies?

Intelligent document mgmt.

Are unstructured documents such as loan applications or damage reports tying up too many resources?
We use AI-supported text recognition (OCR/NLP) to automatically read emails, expert opinions and contracts, classify them technically and transfer structured data to your core system.

AI copilots to increase efficiency

Does the search for information in internal guidelines, tariffs and terms and conditions take too long?
Customized RAG systems ("Company GPTs") provide your client advisors with precise, source-based answers for immediate case decisions at the touch of a button.

AI-supported processes

Are slow standard processes blocking your capacities?
We transfer high-volume, rule-based processes (e.g. address changes, simple property damage or consumer loans) to fully automated dark processing without manual intervention.

AI chatbots & voicebots in customer service

Are your service centers drowning in emails and calls about standard processes?
We implement intelligent AI chatbots and voicebots that understand customer concerns in natural language.

RPA as a bridge for legacy systems

Are your teams losing valuable time due to manual data transfers between outdated IT systems?
Where modern APIs are lacking, we use software robots (RPA) to overcome system discontinuities and seamlessly integrate processes across different core banking or inventory management systems.

AI agents & Agentic AI

Are countless service e-mails and routine transactions blocking your specialist departments?
We implement autonomous AI agents that don't just answer questions, but actively act in your core systems.

What does your AI strategy look like? Start now!

The ROOVER approach for banks and insurance companies

How we support your company

Automation in the financial sector rarely fails due to technology, but rather due to outdated legacy IT, strict data protection requirements (GDPR, DORA) and internal data silos. As your pragmatic implementation partner, we support you with:

Automation & RPA scans:

Identification and ROI calculation of the most profitable levers in your back office, claims settlement or onboarding (incl. process mining).

AI strategy & legacy integration:

Develop a clear IT agenda that seamlessly and securely connects innovative AI solutions with your existing core banking or inventory management systems.

Target Operating Model & Compliance:

Establishment of governance structures (e.g. Automation Center of Excellence) to operate software robots and AI models in a BaFin-compliant, secure and audit-proof manner.

Hyperautomation & Vendor Management:

We take over the neutral technology selection (e.g. for OCR/IDP software or RPA platforms) and manage the implementation through to the successful rollout.

Enablement & Change Management:

We support your clerks, customer advisors and IT teams through targeted upskilling in order to overcome any fears of dark processing and to anchor the tools securely in your day-to-day work.

Looking for AI transformation? We help!

Robin Reuschel as founder of the strategy consultancy Roover
Robin Reuschel
AI expert for banks & insurance companies

Industry benchmarks & projects:
AI in the financial sector

The next logical step after classic digitalization is intelligent, highly automated organization through artificial intelligence and robotic process automation (RPA).

Many of our customers and leading players in the financial sector are already taking these strategic steps to measurably reduce their processing costs (CIR) and scale dark processing.

Customer project: Audit company

AI transformation to an "AI-first" organization

A large association in the cooperative financial sector was faced with the challenge of anchoring artificial intelligence not as a pure IT project, but as a company-wide cultural change.

ROOVER accompanied this transformation with a tailor-made enablement program.

The focus was on establishing an internal “AI Ambassador” network: selected multipliers carry AI knowledge deep into the specialist departments, reduce fear of contact and proactively identify new use cases.

The business impact:

  • Cultural change: Rapid, cross-divisional adaptation of AI tools in day-to-day work.
  • Scalable knowledge: The Ambassador network ensures the decentralized, sustainable transfer of know-how.
  • Future-proofing: Establishing an agile organization that drives technological innovations independently.

AI example: Commerzbank AG

Generative AI agents in customer service

In the margin-driven private customer business, service centers are often chronically overloaded.

Commerzbank is solving this problem through the consistent use of generative AI. With the virtual AI avatar “Ava” (integrated into the banking app), an intelligent assistant has been created that not only answers questions in natural language, but also actively manages accounts (e.g. adjusting card limits).

Only highly complex issues are seamlessly escalated to human consultants.

The business impact:

  • 24/7 case closure: Standard queries are resolved around the clock in real time, without any waiting loops.
  • Potential cost reduction (cost-per-contact): Drastic reduction in ticket volume in the expensive, person-based service centers.
  • Modern customer experience: Significant increase in app interaction and customer satisfaction through immediate problem resolution (zero-touch service).

Get started with our AI workshops for your management team

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