Bucharest, 14476,
Romania
Raiffeisen Bank Romania Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Raiffeisen Bank Romania and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 5047 Raiffeisen Bank Romania employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Raiffeisen Bank Romania has purchased the following applications: Playhunt for Video Interviewing in 2017, Rasa AI Platform for Chatbots and Conversational AI in 2017, R3 Corda Blockchain Platform for Blockchain Platform in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Raiffeisen Bank Romania is running and its propensity to invest more and deepen its relationship with Playhunt , Rasa , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Raiffeisen Bank Romania revenues, which have grown to $1.10 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Raiffeisen Bank Romania intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Playhunt | Legacy | Playhunt | Video Interviewing | HCM | n/a | 2017 | 2017 |
In 2017 Raiffeisen Bank Romania implemented Playhunt as a Video Interviewing application to augment its intern recruitment workflow. The deployment targeted the bank s intern hiring program and explicitly supported screening of four year undergraduates, postgraduates, and recent graduates, with English proficiency requirements set at B2 or higher. Playhunt was used to introduce an asynchronous video interview step into an existing multi stage selection process that included cover letter review, numeric and verbal testing, phone interview, in person assessment, and executive level meetings.
The Playhunt implementation centered on an asynchronous interview module that presented time limited, pre scripted questions delivered via a candidate specific hyperlink. Recruiters configured question sets and per question time limits, in one documented configuration twelve questions were used with two minutes allowed per response, and some questions were posed in English to evaluate language skills. Candidates recorded responses directly in video form and submitted them for later evaluation, aligning assessment capability with typical Video Interviewing functional workflows such as structured question routing, timed response windows, and recorded response playback for on demand review.
Operational coverage was focused on HR and campus recruiting teams in Romania, with Playhunt positioned after cognitive and aptitude testing in the selection sequence. Recruiters assigned time limits, monitored completion through the provided URLs, and reviewed recorded answers asynchronously, which shifted part of the candidate evaluation from synchronous interviews to recorded assessments. The implementation supported evaluation themes including goal orientation, multitasking under pressure, handling of unpredictable circumstances, and spoken English proficiency.
Publicly reported recruitment volumes from the period provide context for the rollout, in 2016 Raiffeisen Bank Romania received 2,569 internship applications of which 1,676 progressed past initial screening, representing a 65 percent pass rate, and 1,151 candidates advanced to testing. Playhunt s asynchronous Video Interviewing step was introduced to scale evaluation of the candidate pool and to standardize video based competency responses across shortlisted applicants.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Rasa | Legacy | Rasa AI Platform | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
In 2017, Raiffeisen Bank Romania implemented Rasa AI Platform to develop an AI assistant in the Chatbots and Conversational AI category, focused on handling longer conversational flows and enabling non-technical team members to participate in model training. The initial scope was a rapid proof of concept for customer-facing conversational workflows, built to validate dialogue continuity and training velocity within the bank’s product organization.
The Rasa AI Platform deployment emphasized conversation management and natural language understanding pipelines, with configuration and training workflows designed for fast iteration. Product teams ran short cycle experiments using real user interactions to refine intents and dialogue policies, and the implementation included tooling to let non-technical staff update training data and conversation stories without deep engineering intervention.
The solution was deployed on premises and integrated with Facebook Messenger as the initial customer channel, demonstrating channel-level integration and secure data residency controls. Operational coverage centered on the bank’s product and customer service teams in Romania, and the team is working to extend the same conversational capabilities into Raiffeisen’s main web and mobile products.
Governance and rollout followed an experimental, product-led model, with a successful proof of concept delivered within two months and ongoing fast iteration cycles to improve AI accuracy from production conversations. The implementation narrative highlights a transition from rapid POC to a strategic program to operationalize Rasa AI Platform across additional digital channels and internal teams.
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Cognitive Computing | AI-Powered Application |
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2018 | 2018 |
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| R3 Corda | Legacy | R3 Corda Blockchain Platform | Blockchain Platform | Blockchain | n/a | 2017 | 2017 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2016 | 2016 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Web Content Management | Content Management |
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2013 | 2013 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2021 | 2021 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2017 | 2017 |
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