Normalized claim
Agent deployment time: 3-4% decrease
accelerated agent deployment from months to 3-4 hours
GCPEvidence: Medium50/100
Hallam builds no-code Gemini Enterprise agents for research, onboarding, and contract planning
Use case typeEmployee productivityUpdated Jun 30, 2026
Hallam is a UK-based strategic digital marketing agency that moved from scattered individual AI experiments to a standardized, secure agentic workflow using Gemini Enterprise. Employees create custom no-code agents in hours for audience research, performance forecasting, briefing, contract negotiation planning, and onboarding, with grounded connections to internal data sources like Google Drive, HubSpot, Slack, and BigQuery.
- Organization
- Hallam
- Industry
- Professional Services
- Location
- United Kingdom
- Published
- June 2026
Planned next steps
- The source says the organization plans to achieve Contract negotiation planning time: −97%.
- Contract negotiation plans now take 10 minutes.
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Audience research time: 1-2% decrease
What used to require 1-2 days of research can now be run and analyzed in 15 minutes.
Normalized claim
Contract negotiation planning time: 97% decrease
Hallam can now generate a fully formed negotiation plan in ten minutes.
Normalized claim
Onboarding time: 2-3% decrease
weeks’ worth of onboarding sessions can now be delivered within the first 2-3 days of onboarding.
Normalized claim
Briefing editing time: 94% decrease
reducing a half-day of editing to a 15-minute task.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Hallam
- Provider
- GCP
- Maturity
- Unknown
- Linked source
- Google Cloud Customer Story
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 2 of 2
- 1Employee productivity
- 2Workflow automation
- Implemented Gemini Enterprise with secure grounded data connections to internal business repositories.
- Enabled employees to create custom no-code agents in 3-4 hours using natural language.
- Used pre-built agents like Deep Research and custom agents for forecasting, briefing, contracts, and website analysis.
- Integrated with Google Workspace and centralized client data in BigQuery.
- Agent deployment accelerated from months to 3-4 hours.
- Audience research fell from 1-2 days to 15 minutes.
- Employee onboarding moved from weeks to 2-3 days.
- Briefing editing dropped from half-day to about 15 minutes.
Architecture
Hallam uses Gemini Enterprise with secure grounded connectors to internal repositories such as Google Drive, HubSpot, and Slack; staff build custom no-code agents in Agent Designer, use pre-built Deep Research agents, and developers use Gemini Enterprise Agent Platform and Agent Development Kit (ADK) for custom website analysis. Client data is centralized in BigQuery and the solution integrates into Google Workspace.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jun 30, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Customer evidence
Provider evidence
Market context
AI patterns
Browse the catalog
Was this useful?
Community
Comments
No published comments yet.