Manual data entry consumed 80% of staff time. Now, AI extracts form data and fields inquiries, freeing agents to handle complex cases.
A national government agency faced an unprecedented surge in service requests driven by an ongoing energy crisis and the sudden arrival of 374,000 refugees.
Citizens encountered long physical lines and unreachable call centers when trying to access social benefits. Meanwhile, agency staff spent 80% of...
“Trying to run the Ministry without Azure Data Lake Storage and Azure Databricks would be like sailing a ship without a map. What we are learning from our data is absolutely essential to improving our operations by replicating the best practices of our most efficient branches.”
Government body managing labor policy, social security, and employment services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Ministry of Labor and Social Affairs (Czech Republic)'s Citizen services is part of this use case:
Related implementations across industries and use cases
Citizens navigated 40 siloed systems to access public services. Now, multilingual AI agents resolve routine queries on a single platform.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Staff spent two days manually hunting for legal codes. Secure AI agents now cross-reference millions of documents in two minutes.
Manually sorting thousands of daily emails bottlenecked support. Now, AI agents triage and route them, freeing staff for complex cases.
Citizens struggled to navigate complex city departments. Now, an AI answers routine queries, freeing staff for complex, face-to-face care.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Manual data entry consumed 80% of staff time. Now, AI extracts form data and fields inquiries, freeing agents to handle complex cases.
A national government agency faced an unprecedented surge in service requests driven by an ongoing energy crisis and the sudden arrival of 374,000 refugees.
Citizens encountered long physical lines and unreachable call centers when trying to access social benefits. Meanwhile, agency staff spent 80% of...
“Trying to run the Ministry without Azure Data Lake Storage and Azure Databricks would be like sailing a ship without a map. What we are learning from our data is absolutely essential to improving our operations by replicating the best practices of our most efficient branches.”
Government body managing labor policy, social security, and employment services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Ministry of Labor and Social Affairs (Czech Republic)'s Citizen services is part of this use case:
Related implementations across industries and use cases
Citizens navigated 40 siloed systems to access public services. Now, multilingual AI agents resolve routine queries on a single platform.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Staff spent two days manually hunting for legal codes. Secure AI agents now cross-reference millions of documents in two minutes.
Manually sorting thousands of daily emails bottlenecked support. Now, AI agents triage and route them, freeing staff for complex cases.
Citizens struggled to navigate complex city departments. Now, an AI answers routine queries, freeing staff for complex, face-to-face care.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.