Introduction
The ambition is clear: 72% of executives within the Financial Services & Insurance (FSI) sector are increasing their AI spending, and 69% expect it to transform productivity. Yet, a revealing EY survey shows a big gap between investment and reality. While spending is high, only 9% of firms consider themselves “ahead of the curve” in AI adoption.
This shows that the Financial Services & Insurance sector is often caught between the future of AI innovation and the reality of ageing IT systems. Teams wrestle with fragmented data, complex regulations, and manual processes that create a “proactivity gap,” forcing experts to react to problems rather than prevent them.
If you want to be part of that 9% ahead of the curve, this article is for you. We’ll explore these common challenges and how Gemini Enterprise (formerly ‘Google Agentspace’), an agentic AI tool, can help you bridge that gap, turning operational hurdles into opportunities for efficiency and smarter decision-making.
Today’s Challenges in FSI
Companies in the Financial Services & Insurance sector are facing several challenges directly or indirectly related to their IT systems and processes. From tangled data to mounting regulations, let’s explore the common pain points.
1. Fragmented Processes and Data
Many financial firms find their data and workflows split across numerous separate systems. This separation leads to duplicated effort, mistakes, and inconsistent work.
Years ago, you had a lot of technology that didn’t work that well. Today, you have a lot of technology that works amazingly, but very little of it works together.

Nikola Rubil
AI GTM Lead Nordics at Google
2. Complex and Expensive Regulations
The FSI industry is bound by strict rules like Know Your Customer (KYC), which are operationally demanding. New legislation, such as the Digital Operational Resilience Act (DORA), adds even more pressure. Preparing for these regulations is expensive and time-consuming. A survey by Rubrik Zero Labs found that, over the past 24 months, 38% of EU businesses have already spent over €1 million to prepare for DORA. The burden is not only financial. A focused survey revealed that over 65% of financial and insurance firms rated their DORA compliance workload as highly laborious.
3. Operational Inefficiencies and Talent Shortage
A lot of time is lost simply trying to find the right information. Advisors often have to manually check multiple sources, like CRMs, market feeds, and internal files, just to get a complete picture. This creates a “proactivity gap,” forcing teams to react to problems as they happen instead of preventing them. On top of that, 66% of financial organisations cite skills shortages as the primary barrier to transformation, innovation, and compliance initiatives.
4. Technology Adoption and Implementation
While new technology offers exciting possibilities, it also brings fresh complexity. Businesses are left wondering how to best choose, integrate, and manage these new tools. An EY survey highlighted this, revealing that nearly a third of financial services firms feel they are falling behind their peers in AI adoption.
This rapid innovation, while exciting, also brings a new wave of complexity. Businesses are asking: How do we make sense of all these new tools? How do they fit together? And most importantly, how can we actually use them effectively to solve real business problems?

Nikola Rubil
AI GTM Lead Nordics at Google
Introducing Gemini Enterprise for FSI
Gemini Enterprise is a platform designed to help you build, manage, and adopt AI agents, addressing many of the challenges we just discussed. It simplifies your operations in three key areas: Research, Advisory, and Automation.
Gemini Enterprise uses Google’s powerful search to find and understand information from all your disconnected systems. It can then automate workflows or act as a helpful advisor. For more complex jobs, Google’s Agent Development Kit (ADK) allows developers to create specialised, autonomous agents that can perform custom, multi-step tasks, like monitoring market data for risks and automatically flagging affected client accounts.

Let’s see how these capabilities match up to the challenges FSI firms face.
From Challenge to Solution
1. Fragmented Processes and Data
| Challenge | How Gemini Enterprise Solves It |
| Data Silos | Connects Everything: Gemini Enterprise uses ready-made connectors to unify all your data stores and applications. This allows a banking professional, for instance, to instantly retrieve all client records from Salesforce, Google Drive, and Outlook in one go. |
| Scattered Information | Finds Anything, Instantly: Using Google’s search technology, Gemini Enterprise enables you to find information across all your platforms and even external sources without needing to know where it’s stored. An asset manager can research a company by drawing on all connected data sources at once. |
| Old or Custom Systems | Builds Custom Connections: For older or unique systems, the Agent Development Kit (ADK) allows developers to build specialised agents that can connect to any custom API, ensuring no system is left behind. |
2. Complex and Expensive Regulations
| Challenge | How Gemini Enterprise Solves It |
| Regulatory Burden | Expert Compliance Assistance: Gemini Enterprise can create advisor agents to help with demanding regulations like Know Your Customer. An agent can check if a document is compliant or pull up the specific regulatory paragraph a person needs to review. |
| Security & Governance | Enterprise-Grade Security: Built on Google’s secure platform, Gemini Enterprise respects all your existing access controls. This ensures users only ever see the data they are authorised to access. |
3. Operational Inefficiencies and Talent Shortage
| Challenge | How Gemini Enterprise Solves It |
| Time-Consuming Manual Process | Intelligent Automation: Gemini Enterprise streamlines and automates core tasks for your risk, policy, and investment teams. It can handle repetitive work like drafting loan documents or submitting a claim, freeing up personnel’s time. |
| Complex, Unstructured Data | Understands Real-World Data: Gemini Enterprise can easily process complex information. For example, it can read a handwritten insurance claim in French, understand scribbled notes, and translate the incident’s description in English, even generating a diagram from the details. |
4. Technology Adoption and Implementation
| Challenge | How Gemini Enterprise Solves It |
| Adopting and Managing Multiple Tools | Centralised Agent Management: Gemini Enterprise gives you a single platform to build, deploy, manage and optimise AI agents at scale. This prevents the future problem of having countless agents with no central oversight. |
| Making AI Accessible | AI for Everyone: With the no-code Agent Designer, any employee can create their own custom AI agent using a simple chat interface. They could build a “claim reviewer” agent to scan forms for errors. |
Time to see it in practice! Watch our webinar Agentic AI’s Impact on Financial Services & Insurance with Gemini Enterprise and don’t miss the demo part!
How to Implement AI Agents for Financial Services & Insurance
Understanding what Gemini Enterprise can do is the first step. Putting it into practice is the next. Here’s how you can get started.

1. Start with a Discovery Workshop
Begin your journey with Devoteam’s ‘Gemini Enterprise Use Case Discovery Workshop’. It’s a collaborative session designed to explore how Gemini Enterprise can be tailored to your company’s specific needs. Get in touch with us to book your spot.
2. Follow a Strategic Approach
After the workshop, we follow a clear, four-phase plan to ensure a successful implementation.
- Secure: Beginning with security protocols, Devoteam’s AI experts establish robust privacy, governance, and compliance controls from day one, ensuring your solution is secure by design.
- Integrate: Next, the technical setup begins. Experts define user groups and integrate Gemini Enterprise with your essential business applications, such as Jira, Confluence, or Salesforce.
- Adopt: To get the most from your investment, our change management specialists run role-specific training workshops. This helps your team embrace the new tools and use them to their full potential.
- Embed: Finally, we measure the impact. Devoteam’s experts conduct an assessment to demonstrate the return on investment, providing clear data on productivity gains, such as comparing the time spent on research before and after implementing Gemini Enterprise.
Conclusion
As we’ve seen, agentic AI has the potential to solve FSI challenges like fragmented client data, regulatory burdens, and operational drag. Tools like Gemini Enterprise offer a direct path to connect systems, automate processes, and empower your teams to deliver their best work.
The framework is in place and the tools are ready. The first step is simple: start the conversation and build your roadmap to a more proactive and efficient future.

Want to learn more about the value Agentic AI has to offer for FSI?
Gemini Enterprise provides the toolset and Devoteam’s experts help you to achieve your goals. Let us show you how to centralise your data, empower your teams with intelligent automation, and turn your Agentic AI spend into a genuine competitive advantage.


