SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
A technology consultancy and Google Cloud Partner serves ASX blue-chip companies, government bodies, and multinationals while managing a growing global headcount.
Preparing Statements of Work required manually integrating data from four disparate systems, while scattered project history created significant...
“We chose Gemini Enterprise because it presented the best platform for us to grow on, offering superior extensibility. Critically, Google Cloud tooling is definitely the best at solving complex workflows that require integrating information from different systems and data sources.”
Technology and AI consultancy specializing in data, cloud, and digital services.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Knowledge was trapped in siloed systems. Gemini connected Jira and SharePoint, enabling staff to build custom agents for QA and coaching.
Staffing lived in spreadsheets. Now, internal agents automate onboarding and match teams by skill, targeting 30% productivity gains.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Consultants manually scoured knowledge bases. Now, they prompt an internal AI to synthesize insights into structured, on-brand drafts.
Doctors spent an hour on paperwork for every hour of trauma care. Now, AI auto-captures notes during patient visits for quick review.
Complex tables in 100-page docs bottlenecked teams. AI now parses text and images, ensuring every output is traceable and compliant.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
A technology consultancy and Google Cloud Partner serves ASX blue-chip companies, government bodies, and multinationals while managing a growing global headcount.
Preparing Statements of Work required manually integrating data from four disparate systems, while scattered project history created significant...
“We chose Gemini Enterprise because it presented the best platform for us to grow on, offering superior extensibility. Critically, Google Cloud tooling is definitely the best at solving complex workflows that require integrating information from different systems and data sources.”
Technology and AI consultancy specializing in data, cloud, and digital services.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Knowledge was trapped in siloed systems. Gemini connected Jira and SharePoint, enabling staff to build custom agents for QA and coaching.
Staffing lived in spreadsheets. Now, internal agents automate onboarding and match teams by skill, targeting 30% productivity gains.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Consultants manually scoured knowledge bases. Now, they prompt an internal AI to synthesize insights into structured, on-brand drafts.
Doctors spent an hour on paperwork for every hour of trauma care. Now, AI auto-captures notes during patient visits for quick review.
Complex tables in 100-page docs bottlenecked teams. AI now parses text and images, ensuring every output is traceable and compliant.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.