Document Processing · IT Operations Automation · Real-time Analytics
Hallam builds custom no-code agents with Gemini Enterprise, removing development bottlenecks and scaling customer insights. For digital marketing agencies, capturing client attention is harder than ever. Online platforms are crowded with content, while customer acquisition costs have increased significantly as large numbers of businesses chase a small pool of active buyers.
Reported impact
Accelerates agent deployment from months to 3-4 hours with Gemini Enterprise; Cuts audience research and analysis time from 2 days to 15 minutes; Full contract negotiation plans completed in 10 minutes with custom agents; Accelerates employee onboarding from weeks to 2-3 days.
Grounding these assistants in real company data keeps them accurate and relevant. Using secure data connectors, Hallam links Gemini Enterprise directly to internal repositories like Google Drive , HubSpot, and Slack to provide rich context across channels. New team members can use a grounded agent to get up to speed quickly on internal policies and processes instead of reading through millions of files. As a result, weeks’ worth of onboarding sessions can now be delivered within the first 2-3 days of onboarding. Account managers, meanwhile, can use a grounded agent to rapidly pull historical communication timelines and performance files to prepare reports on the success of client marketing campaigns. With , Hallam transitioned scattered, individual AI initiatives into a powerful agentic taskforce where custom automation tools can be safely explored and curated by any user.
stored or unified in BigQuery, orchestrated via Gemini Enterprise Agent Platform, and surfaced through Gemini Enterprise, Gemini
Accelerates agent deployment from months to 3-4 hours with Gemini Enterprise
Accelerates employee onboarding from weeks to 2-3 days
Cuts audience research and analysis time from 2 days to 15 minutes
Full contract negotiation plans completed in 10 minutes with custom agents
Hallam builds custom no-code agents with Gemini Enterprise, removing development bottlenecks and scaling customer insights.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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