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
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.
Keyword searches across 140,000 past cases buried consultants in irrelevant hits. Now, AI surfaces the top 5 matches with summaries.
Manual proposal writing consumed a full day. An AI agent now drafts them in 2 hours from notes, cutting the signature cycle by 4x.
Shared drives blocked collaboration. Staff use AI to draft protocols from handbooks, cutting intake tasks from 1 hour to 30 mins.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
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
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.
Keyword searches across 140,000 past cases buried consultants in irrelevant hits. Now, AI surfaces the top 5 matches with summaries.
Manual proposal writing consumed a full day. An AI agent now drafts them in 2 hours from notes, cutting the signature cycle by 4x.
Shared drives blocked collaboration. Staff use AI to draft protocols from handbooks, cutting intake tasks from 1 hour to 30 mins.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.