Turning Gemini Enterprise into strategic workforce advantage.
As organizations scale Gemini Enterprise to power-up users’ work and to drive operational efficiencies, the challenge shifts from deploying pilots to delivering embedded organizational change, whilst proving its impact and value.
Proving the ROI of AI remains an industry-wide problem. Temporall helps solve it. The “AI Value Paradox” – the gap between AI spend and trusted business outcomes is for many the reality of their AI investments. Temporall gives organisations the evidence they need to convert Gemini Enterprise usage into a measurable, lasting workforce advantage.
Temporall for Gemini Enterprise converts Agent telemetry into objective evidence, it enables decision makers to optimize their investments at every stage of their design, deployment and optimization phases. Now, with Temporall, organizations can monitor Agent performance, understand user adoption and usage patterns, and ensure unparalleled unified AI governance and compliance.
Without Temporall, executing workforce planning and developing an AI-ready Target Operating Model (TOM) is based on guesswork. With Temporall, executives can build a forward facing operating model based on data, decision making they can trust and act on.
The World Economic Forum (WEF) is clear: scaling AI means moving beyond isolated pilots into structural organizational change. That demands more than headline “active user” counts – it demands evidence.
Where native dashboards offer aggregated trends and manual workarounds provide basic user lists, Temporall for Gemini Enterprise delivers the objective, auditable granularity that effective Agentic deployment needs, without compromising on compliance, security, or regulatory standards. By streaming detailed interaction logs into Temporall’s Work Graph, we go beyond how people are using AI to understand how it is fundamentally reshaping the way work gets done.
Pillar 1: Gemini Enterprise Agent Performance
This pillar enables you to analyse and monitor the usage and impact of your Gemini Enterprise Agent estate. It allows you to design, deploy, and manage your Agent estate with data-supported decision-making at every stage.
- Deployment & Usage: “What is the ranking of my Agents by active usage and what is the current Weekly Active Usage (WAU) across my Agent estate?”
- Success Metrics: “What are my Agent session outcomes, success, escalated, or abandoned, and how many sessions require human fallback?”
- Performance Impact: “Is there a link between high Agent usage and employee work activity in Microsoft 365?”
- Data Context: “What are the top documents and data sources for my Agents, and what are my employees looking for?”
Sustained AI transformation requires a shift in end-user behavior. Temporall provides the data foundation to map how your workforce actually interacts with Gemini Enterprise Agents alongside GenAI tools like ChatGPT Enterprise and Claude for Work. By linking this to HRIS and performance metrics, we help you understand the true “Work DNA” of your AI users.
- Adoption Depth: “What are my different levels of Agent adoption, and who are the creators driving new Agentic workflows?”
- Behavioral Analysis: “Is there a correlation between GenAI and Agentic usage across different teams and where does adoption hesitancy remain?”
- Retention Rates: “What is the user retention rate for each department after their first Agent interaction?”
- User Productivity: “Do my proficient Agent users work differently in Microsoft 365 or Workspace compared to non-users?
Move from reactive risk mitigation to transparency-driven trust. This pillar provides the enterprise governance required to meet strict regulatory needs while keeping “human-in-the-lead” accountability.
- Unified AI Auditing: Centralize all Agent and GenAI activities into a single, auditable “source of truth” to eliminate fragmented data risks.
- Governance & Oversight: Define clear decision ownership and ensure every agentic action is traceable and compliant.
- Regulatory Readiness: Meet global standards (such as the EU AI Act) through real-time model monitoring and deterministic, repeatable intelligence.
- Evidence-Based Reporting: Generate auditable reports for executive and regulatory stakeholders based on vendor-independent truth.
Transition to Change Management 2.0 by replacing periodic sentiment surveys with real-time objective behavioral insights. This pillar turns Agent adoption and workforce planning into a continuous learning cycle that includes analyzing user intent for change management optimization and establishing ongoing user experience feedback loops.
- Adoption Insights: “What are my current levels of Gemini Enterprise adoption, where does hesitancy remain?
- Agent Usage Proficiency: What levels of Agent usage proficiency do I have across different organizational groups, what factors affect AI proficiency?
- Training Effectiveness: “Is my AI training working, and which organizational factors currently predict AI ?”
- Targeted Change Intervention: “Where should I focus my change management communication and enablement efforts?
- Agent Champion Identification: “Who are my Agent Champions, and are they the same individuals as my GenAI Champions?”
Get in Touch to learn about Temporall’s Enterprise Starter Pack to support evaluations and pilot, and our Gemini Enterprise Jumpstart for those organizations who are planning their enterprise deployment
Email: [email protected]