Designing Enterprise Software in a Bot-First Banking Environment
NORD/LB is exploring how internal & digital enterprise interaction should evolve as chat-based interfaces and AI assistants become a primary entry point to work. NORD/LB invites selected partners to contribute strategic frameworks, interaction models, or platform and technology-layer approaches to shape the future interplay of chat, bots and classical enterprise software in a regulated banking environment.
Who can participate?
This project is open to partners who work on enterprise interaction, experience, architecture or AI-driven systems. Different organisational sizes and maturity levels are explicitly welcome. A fully developed product is not required.
#EnterpriseInteraction #BotFirst #AIinEnterprise #EnterpriseUX #RegulatedIT
🏆 Prize Direct collaboration with NORD/LB stakeholders · Concrete Offer · Piloting Perspective
🕑 Deadline Feb 17, 2026, 10:59 PM🌎 Scope European Economic Area
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Context
NORD/LB operates a complex internal enterprise software landscape that has grown over time. Employees work across multiple internal applications, tools and systems to perform their daily tasks. Our enterprise software landscape consists of specialized in‑house applications, major platform ecosystems—most notably Microsoft and Microsoft 365—and standard software solutions such as JIRA, Confluence, and ServiceNow.
In user behavior we also see a shift, not only from classical UI to chat interfaces, but also towards big platforms / standard tools (M365, Power BI etc.), which all work on their own chatbot/AI solutions. If, for example, a user works in ServiceNow uses their native bot within ServiceNow, how can we give this bot the same data and functionality as the user would have in copilot or other bots to harmonize user experience?
Problem Definition
As a result, internal interaction currently takes place in parallel worlds: traditional enterprise user interfaces on the one hand, and chat- and bot-based interaction on the other — without a clear, consistent interaction model connecting both. Hence two problems arise:
- Growing number of bots and chat solutions:_Major software and platform vendors already offer (natively and) tightly integrated chatbots, and we expect more providers to follow this trend. This increases the risk of a fragmented user experience, as not all solutions offer the same capabilities or access to the same data. (Can we even solve this potential issue?)
- Diverse user groups:_We expect usage patterns to differ across functional areas of the bank. For example, some users primarily work in M365 (Teams, Outlook) or in a CRM system and will access Copilot from there. Others mainly work in expert applications. This raises two key questions: How can we bring expert knowledge into M365/Copilot? And how can we deliver Copilot/chatbots equipped with the same expert knowledge within those expert applications?
NORD/LB faces a fundamental question: how should internal enterprise software be interacted with in a bot-first environment?
There is currently no clear answer to:
- how a unified internal interaction layer should look like
- the role of chat and AI assistants versus classical UIs
- which architectural and UX principles are sustainable long-term
Without this orientation, there is a risk of creating new silos, increasing complexity and making strategic technology decisions without a clear future perspective.
Background Knowledge
NORD/LB operates in a highly regulated enterprise environment with complex internal processes and strict security and compliance requirements:
- hands-on experience with Microsoft CoPilot-roll-out, low-code agent creation as well as more advanced internal AI and automation approaches
- experience building simple agents in CoPilot Studio
- strong in-house capabilities in enterprise IT, software development and architecture
- internally developed enterprise applications and integration layers to deliberately balance standard platforms with custom-built solutions
- practical experience with modern frontend technologies, internal enterprise applications and AI-supported interaction
- Expert Workspace (internal reference context)
NORD/LB has established an internal expert workspace as an integration point for advanced internal tools, applications and AI-supported workflows. It serves as a reference environment for expert users and complex use cases, without pre-defining a target solution or limiting future interaction patterns. - Platforms, such as Microsofts Power BI, M365, ServiceNow, JIRA