Reported impact
Business outcome
FletcherTech created a widely adopted enterprise AI assistant, saved thousands of staff hours, and opened a path for custom workflow agents under governed project controls.
- Productivity Improvement
- Risk Reduction
- Speed to Market
Solution
FletcherTech uses Google Cloud to address this challenge: FletcherTech needed to roll out an enterprise AI assistant across a mixed-skill workforce, connect it to core systems, and keep governance under control while driving broad day-to-day adoption. Gemini Enterprise serves as the company-wide assistant for contextual answers, content generation, and data analysis across core data sets, serving as the serving layer. Vertex AI Agent Builder helps teams rapidly deploy custom agents such as QA and developer-coaching assistants, serving as the serving layer. Vertex AI provides the managed project environment for agent deployment, governance, and scale, serving as the orchestration layer. Core enterprise data is exposed through Gemini Enterprise connectors, employees query the platform in natural language, and Vertex AI Agent Builder delivers specialized agents that automate workflow tasks and surface contextual answers from systems such as Jira, ServiceNow, and SharePoint.
Data flow
Core enterprise data is exposed through Gemini Enterprise connectors, employees query the platform in natural language, and Vertex AI Agent Builder delivers specialized agents that automate workflow tasks and surface contextual answers from systems such as Jira, ServiceNow, and SharePoint.