Gemini: Put Google’s AI to work across your systems
Gemini is Google’s family of AI models designed for reasoning, generation, and analysis across text, images, audio, video, and documents. With Tray, Gemini becomes part of governed workflows and AI agents that act across your systems. Prompts trigger real processes, outputs update records, and results flow back to the systems your teams already use.
Agents
Integrations
Automations
Use cases
Gemini + Tray
Teams use Gemini to summarize information, classify content, and extract structured data from documents, images, or other inputs. Prompts often analyze files, interpret media, or generate responses based on large amounts of context. But those results usually stay inside the model interaction itself.
Tray connects Gemini to the systems where work actually happens. Prompts can include context from CRM records, tickets, or documents, and responses can update systems, trigger workflows, or notify teams. Gemini’s reasoning becomes part of governed automations and agents that act across your stack.
See how different teams use Tray to put Gemini reasoning to work.
What you can do with Tray
IT
IT
If you work in IT or security, these are common ways teams use Tray with Gemini to analyze operational signals and respond faster.
- Summarize incident reports: Generate concise summaries from logs, alerts, or ticket details
- Analyze security alerts: Interpret alert descriptions and categorize potential threats
- Extract insights from investigation files: Analyze documents or attachments linked to security incidents
Support
Support
If you work in support or operations, these are common ways teams use Tray with Gemini to understand customer issues and automate responses.
- Summarize support conversations: Generate summaries of tickets, chat transcripts, or case histories
- Classify incoming requests: Categorize tickets based on descriptions, attachments, or conversation context
- Draft response suggestions: Create reply drafts or suggested resolutions for support agents
Sales operations
Revenue operations
If you work in sales operations, these are common ways teams use Tray with Gemini to analyze account context and assist deal workflows.
- Generate account research summaries: Compile insights from notes, documents, or CRM activity
- Extract data from sales documents: Pull structured information from proposals, contracts, or PDFs
- Draft follow-up emails: Generate follow-up messages based on meeting notes or deal activity
Marketing ops
Marketing ops
If you work in marketing operations, these are common ways teams use Tray with Gemini to analyze campaign assets and generate content.
- Summarize research and reports: Generate summaries from marketing research or performance reports
- Generate campaign content drafts: Create email copy, social posts, or campaign messaging
- Analyze media assets: Interpret images or media files to generate campaign insights
Finance
Finance
If you work in finance, these are common ways teams use Tray with Gemini to extract insights from documents and automate workflows.
- Extract fields from invoices: Pull structured data from invoices, receipts, or financial documents
- Summarize financial reports: Generate summaries from internal financial documents or reports
- Classify expense submissions: Categorize expenses based on descriptions or attached receipts
Product and engineering
Product and engineering
If you work in product and engineering, these are common ways teams use Tray with Gemini to analyze technical signals and automate updates.
- Summarize incident postmortems: Generate concise summaries from incident reviews or documentation
- Analyze logs and system output: Interpret logs or diagnostic output to identify issues
- Generate release notes: Create release summaries from commit messages or pull requests
Agents
Build agents with Gemini and Tray
Agents combine Gemini’s reasoning with governed actions across your stack. Using Merlin Agent Builder, agents can retrieve context from approved systems, generate responses with Gemini, and execute workflows that update the right records and notify the right teams.
Ground agents with relevant operational context
- System records: Pull approved data from CRM objects, support cases, or ticketing systems
- Documents and files: Index internal documents or uploaded files for agent reasoning
- Knowledge sources: Retrieve articles, documentation, or policies during generation
- Freshness controls: Schedule re-indexing or rely on live queries for up-to-date data.
Integrations
Integrations with Gemini and Tray
Integrations turn Gemini from a standalone model endpoint into part of your operational stack. Tray connects Gemini’s content generation and multimodal reasoning capabilities to the systems teams work in every day, so generated insights, summaries, and decisions move directly into downstream processes.
Gemini integration capabilities
Integrate Gemini with 700+ applications plus any system with an API using our HTTP connector. These capabilities mirror Gemini’s API structure and how teams build AI-powered workflows around prompts, multimodal inputs, and tool execution.
Turn prompts into reliable outputs
- Generate content: Send prompts to Gemini using the
generateContentendpoint for text generation and reasoning - Structured prompts: Provide inputs using the
contentsandpartsformat to organize messages and context - Conversation context: Include conversation history to support multi-turn reasoning workflows
- Streaming responses: Receive generated responses progressively for responsive applications
Automations
Automations with Gemini and Tray
Tray listens for the signals that matter such as new records, file uploads, support cases, or scheduled jobs, then sends relevant context to Gemini for reasoning or generation. Workflows evaluate the response, apply business logic, and write results back to the correct systems with full visibility.
For example, Gemini might summarize documents, classify customer feedback, extract structured data from files, or generate draft responses. Tray then routes the results to the right system, posts updates to teams, or triggers follow-up workflows.
Frequently Asked Questions
Find answers to common questions about our products and services.
How does Tray authenticate with Gemini?
Tray connects to Gemini using API key authentication. Connections are stored securely and can be scoped per workspace or environment to enforce least-privilege access.
Can Gemini responses trigger updates in other systems?
Yes. Gemini responses are evaluated inside Tray workflows. Outputs can be transformed into structured data and used to create or update records in systems such as CRM, ticketing platforms, or internal databases.
Can Gemini process images or documents inside workflows?
Yes. Gemini supports multimodal prompts including text, images, audio, video, and documents. Workflows can attach these inputs to requests and store the resulting analysis or summaries in downstream systems.
How do you control unsafe or incorrect outputs?
Gemini includes configurable safety settings for harmful content categories. Tray can also validate responses, enforce schemas, and require approvals before actions run.
How do we start small and scale safely with Gemini and Tray?
Start with one workflow such as document summarization or feedback classification. Add validation rules and approvals, then expand to more systems and agent tools as confidence grows. Everything you build can be reused across future automations and agents.
FAQs
Yes. Gemini responses are evaluated inside Tray workflows. Outputs can be transformed into structured data and used to create or update records in systems such as CRM, ticketing platforms, or internal databases.
What comes standard with Tray
Whether your systems, data, or models run in the cloud or on-premises, Tray connects them in one secure platform. Every connection, workflow, and agent operates under IT governance with encryption, audit logging, and access controls built in. Security teams can trust that all integrations comply with enterprise network and authentication policies.
Universal connectivity
- Prebuilt connectors: 700+ connectors plus a universal HTTP connector for any REST API
- Custom connectors: Build custom connectors that behave like native ones
- Connect anywhere: Cloud or on-prem systems supported
On-premises connectivity
- Connect securely: Access on-premises systems, whether first-party or third-party
- Meet network requirements: Connect through approved configurations that align with enterprise security policies
- Enterprise protocols: Support multiple on-premises security standards for safe integration
Authentication management
- Secure credentials: Collect and store authentications with full encryption
- Encrypted data: Protect all data at rest and in transit
- Role-based control: Partition credentials by workspace and access level
Security and governance
- Certified compliance: SOC 2 Type II, GDPR, CCPA, HIPAA
- End-to-end protection: Encryption, detailed audit logs, scoped connections, and OAuth scopes