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.
Baringa's Document drafting is part of this use case:
Related implementations across industries and use cases
Manual research across 520k documents consumed lawyers' time. A secure AI assistant now scans 2.7M texts, freeing them for strategy.
A petabyte of unmanaged video required tracking down editors to find clips. Now, AI automatically tags footage for conversational search.
Keyword searches across 140,000 past cases buried consultants in irrelevant hits. Now, AI surfaces the top 5 matches with summaries.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Manual 3,000-page applications delayed deployments for years. Now, engineers use AI to draft and map them to regulations in seconds.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
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.
Baringa's Document drafting is part of this use case:
Related implementations across industries and use cases
Manual research across 520k documents consumed lawyers' time. A secure AI assistant now scans 2.7M texts, freeing them for strategy.
A petabyte of unmanaged video required tracking down editors to find clips. Now, AI automatically tags footage for conversational search.
Keyword searches across 140,000 past cases buried consultants in irrelevant hits. Now, AI surfaces the top 5 matches with summaries.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Manual 3,000-page applications delayed deployments for years. Now, engineers use AI to draft and map them to regulations in seconds.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.