Roland Berger
Internal knowledge search
Consultants spent hours trawling documents. AI agents now synthesize scattered data into cited briefings in 8 seconds.
- Research time cut from hours to ~8 seconds
- ~70% workforce using AI agents
Consultants manually scoured knowledge bases. Now, they prompt an internal AI to synthesize insights into structured, on-brand drafts.
An award-winning global management consulting firm recognized by Forbes and the Financial Times delivers strategic guidance across highly complex sectors including financial services, energy, and government.
Consultants previously spent days manually searching internal knowledge bases to draft initial project documents. The firm needed a way to quickly...
“Azure AI Foundry feels like an accelerator with quality built in. We’re able to create documents rapidly and precisely, whilst also considering the tone of voice, almost the personality of the document.”
Management consultancy specializing in energy, financial services, and climate change.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Consultants spent hours trawling documents. AI agents now synthesize scattered data into cited briefings in 8 seconds.
Analysts spent weeks manually reviewing massive government datasets. Now, AI instantly surfaces high-priority insights.
Data rules left lawyers parsing 10-year case files. A hybrid AI now generates timelines and cuts claim filing to <30 seconds.
Lawyers lost weeks to nonbillable research. Now, AI scans 2,500 docs to cut research time by 60%, saving $2M in unplanned losses.
Associates spent hours combing messy evidence. Now, AI securely extracts facts and builds timelines, freeing lawyers for case strategy.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Fragmented tools held back GenAI. Unifying on one platform let teams build contract and insight prototypes in under 48 hours.