Cognizant Signs Five-Year AI Deal With EBRD Bank

Why it matters

The partnership is expected to strengthen service reliability and operational efficiency.
It will widen access to specialist skills across the bank’s global operations.
The bank’s executives say the work will support continued modernization and digitalization.
The EBRD will increase impact for people in its countries of operation.
The collaboration will help the bank run critical technology services with confidence.

How OpenSmartRoute helps

OpenSmartRoute is an open‑source router for AI requests.
A routing team can add Cognizant’s tools to its catalogue.
The router scores each candidate on quality, cost, speed, and safety.
Hard rules enforce data privacy, regional restrictions, and cost caps.
The router learns from outcomes, giving more traffic to models that perform well.

OpenSmartRoute can route requests to Neuro IT Operations for service‑management queries.
It can direct software‑engineering questions to Flowsource for AI‑assisted coding.
WorkNEXT requests can be sent to the voice and translation services.
The savings ledger shows the cost of each routed request versus the most expensive model.
The input guard detects prompt injection and personal data before a request leaves.

How it compares

The EBRD previously used standard managed services for its technology needs. Cognizant now offers outcome‑led managed services alongside fixed‑capacity services. This means the bank pays for results instead of just hours worked. The scope now includes generative and agentic AI across the software lifecycle. Before, AI was likely a separate project or a pilot program. Now, AI is woven into service management, engineering, and workplace tools. Neuro IT Operations used to provide basic visibility into the technology estate. It now anticipates issues and resolves them faster with proprietary AI tools. Flowsource previously focused on traditional coding practices and manual testing. It now integrates AI copilots and agents into every stage of development. WorkNEXT handled basic support tickets through standard chatbots and call centers. It now uses AI‑powered voice and translation for a more intuitive experience. The bank’s Tech Blueprint is a new strategic roadmap for technology transformation. It replaces older, fragmented technology initiatives with a unified AI‑driven approach. The partnership spans five years, which is longer than typical pilot contracts. This long term allows for deeper integration of AI into daily operations. The EBRD operates across three continents, requiring global consistency in tools. Cognizant brings end‑to‑end systems integration expertise to meet this need. The bank previously relied on external vendors for specific, one‑off projects. Now, it has a single strategic partner for its entire technology transformation. The focus has shifted from building features to delivering measurable value over time. This change requires a different mindset from both the vendor and the client. The bank needs technology that is secure, adaptable, and future‑ready. Cognizant acts as an AI Builder to help the bank run services with confidence. The previous model likely lacked the continuous improvement built into this framework. This new framework is designed to enhance services and strengthen resilience. It delivers critical, results‑focused technology while pursuing responsible AI adoption. The bank’s technology estate is evolving to support prosperity in developing markets. This partnership supports that mission by modernizing the underlying technology infrastructure. The transition from legacy systems to AI‑enabled processes is the core change. Some core banking functions remain unchanged, but the tools behind them are new. The bank’s governance structure remains intact under the new partnership. Ownership still rests with national governments, the EU, and the European Investment Bank. The Board of Governors retains overall authority over the Bank’s direction. The founding agreement signed in Paris in 1990 still defines the Bank’s purpose. The partnership does not replace the Bank’s mission but enables it to grow. It optimizes technology to increase the impact for people in operating countries. The shift is from reactive maintenance to proactive, AI‑driven innovation. This change requires trust in the vendor’s ability to deliver on promises. The bank has chosen Cognizant for its managed services expertise and AI‑enabled delivery. The previous approach may have been too slow to meet modern demands. This new approach aims to accelerate modernization and digitalization significantly. The bank needs to ensure that AI adoption is responsible and safe. The partnership includes a focus on data and intelligent automation. Efficiency, effectiveness, and innovation are the stated goals of the programme. The previous state likely had siloed tools that did not talk to each other. The new framework integrates AI across digital and workplace management domains. Cloud infrastructure, data, and security are now part of the AI scope. Software engineering and automation are also covered under this new umbrella. The bank will have better visibility across its entire technology estate. This visibility helps anticipate and resolve issues before they cause downtime. The previous model might have relied on manual monitoring and alerting. AI tools now provide self‑healing capabilities for the software development lifecycle. This reduces the time it takes to bring new software to market. The bank previously might have struggled with scaling specialist skills globally. The new programme widens access to these skills through AI assistance. Operational efficiency is expected to improve through automated processes. The bank’s technology capabilities will continue to evolve with this support. The partnership is a strategic move to stay competitive in a changing world. It replaces the need for multiple small vendors with one large partner. The bank can now focus on its mission rather than managing tech vendors. Cognizant provides the expertise to handle the bank’s highly governed environment. The previous state likely lacked the collaborative framework for large‑scale AI. This new framework combines industry experience with AI‑enabled operational capabilities. The bank runs critical technology services with greater confidence now. The transition is from a static technology estate to a dynamic, AI‑driven one. The bank’s technology is becoming more adaptable to future market needs. The partnership ensures that the bank remains future‑ready in its operations. The previous approach may have been too rigid to handle rapid changes. This new approach allows for continuous improvement and innovation. The bank’s technology estate is now powered by AI, data, and automation. The partnership is a significant step in the bank’s digital journey. It replaces the old way of doing things with a new, smarter way. The bank will see measurable value over time from this collaboration. The previous model did not guarantee results in the same way. This new model focuses on outcomes and performance metrics. The bank’s executives are confident in this strategic partnership choice. They believe it will help the bank achieve its transformation goals. The previous state likely had limited AI integration across different departments. This new framework brings AI together across service management and engineering. The bank’s technology is becoming more intelligent and responsive to users. The partnership helps the bank run its mission with modern tools. The previous approach might have been too slow to support growth. This new approach accelerates the bank’s ability to serve its members. The bank’s technology is now a key enabler of its financial services. The partnership ensures that this technology remains secure and reliable. The previous state might have had gaps in security and compliance. The new framework includes automated security and quality checks. This helps the bank meet its regulatory obligations more easily. The bank’s technology is evolving to support prosperity in developing nations. The partnership provides the tools needed to support this global mission. The previous model may not have been designed for such a diverse client base. This new framework is built to handle the complexity of three continents. The bank’s technology is becoming a competitive advantage for the institution. The partnership helps the bank stay ahead of technological trends. The previous approach might have left the bank behind in the AI race. This new partnership ensures the bank stays at the forefront of innovation. The bank’s technology is now a strategic asset for its global operations. The partnership provides the stability needed for long‑term strategic planning. The previous state likely lacked the resources for such a large transformation. Cognizant brings the scale and expertise to make this possible. The bank’s technology is becoming more integrated and cohesive. The partnership helps the bank reduce fragmentation in its tech stack. The previous approach might have led to data silos and inefficiencies. This new framework breaks down those barriers with AI‑driven processes. The bank’s technology is now more agile and responsive to change. The partnership enables the bank to adapt quickly to new market conditions. The previous model was likely too slow to react to emerging needs. This new approach allows for rapid iteration and improvement. The bank’s technology is becoming a core part of its value proposition. The partnership ensures that the technology supports the bank’s financial goals. The previous state might have treated technology as a cost center only. Now, technology is seen as a driver of efficiency and innovation. The bank’s technology is now a strategic partner in its business model. The partnership reflects a shift in how the bank views its tech investments. The previous approach might have been too focused on initial setup costs. This new framework focuses on long‑term value and operational savings. The bank’s technology is becoming more sustainable and scalable. The partnership helps the bank grow its impact in developing markets. The previous model might have limited the bank’s reach in these regions. This new framework provides the tools to expand operations effectively. The bank’s technology is now a key enabler of its social mission. The partnership ensures that technology serves the broader goals of the bank. The previous approach might have missed the connection between tech and mission. This new framework aligns technology directly with the bank’s purpose. The bank’s technology is becoming more human‑centered and intuitive. The partnership helps the bank deliver better experiences for its users. The previous model might have been too generic and impersonal. This new approach uses AI to personalize the experience for each user. The bank’s technology is now more accessible to people in different regions. The partnership ensures that language barriers do not hinder access to services. The previous state likely struggled with translation and communication gaps. This new framework uses AI to bridge those gaps effectively. The bank’s technology is becoming a bridge between its members and the world. The partnership helps the bank connect with people in three continents. The previous approach might have been too localized and limited. This new framework provides global reach with local relevance. The bank’s technology is now a vital link in its global network. The partnership ensures that the technology supports its global strategy. The previous model might have lacked the coordination needed for global ops. This new framework brings together global expertise and local needs. The bank’s technology is becoming a unifying force for its diverse stakeholders. The partnership helps the bank bring people together through technology. The previous approach might have created distance between different regions. This new framework uses AI to foster connection and understanding. The bank’s technology is now a tool for social good and development. The partnership ensures that technology is used for positive impact. The previous state might have focused only on profit and efficiency. This new framework balances efficiency with social responsibility and innovation. The bank’s technology is becoming a catalyst for economic growth. The partnership helps the bank foster prosperity in developing nations. The previous model might not have been designed for development goals. This new framework aligns technology with the needs of emerging markets. The bank’s technology is now a key driver of sustainable development.

What to do

Identify the AI tools that match your organization’s needs.
Define a catalogue of models, agents, and tools in OpenSmartRoute.
Set weights for quality, cost, speed, and safety per request type.
Create hard rules to enforce data privacy and cost limits.
Run a pilot to measure routing accuracy with osr eval.
Iterate the catalogue and rules based on performance data.

Source: https://www.unite.ai/ebrd-taps-cognizant-for-five-year-ai-led-tech-blueprint-partnership/