Move Gemini from promising demo to governed production agent.
Enterprise AI value comes from a well-scoped workflow, trusted data, tool integration, evaluation, security, and operational ownership—not a model endpoint alone.
Altivate helps teams select the right use case, build grounded agents, integrate them into business systems, and establish the controls required for production.
The outcome: agents that can answer, reason, and act inside defined business boundaries—with evidence, evaluation, and human control.
The work required for production AI
Use-case and value design
Select workflows with a clear user, decision, baseline, risk boundary, data path, and measurable business outcome before choosing an agent pattern.
Grounding & enterprise knowledge
Prepare governed documents, BigQuery data, search, metadata, permissions, and retrieval patterns so answers can cite and respect the right context.
Agent engineering
Design prompts, tools, orchestration, memory boundaries, handoffs, and failure behavior using Gemini models and Gemini Enterprise Agent Platform.
Business system integration
Connect agents to approved APIs and workflows with least privilege, idempotency, audit trails, and explicit controls around consequential actions.
Evaluation & human control
Build representative test sets and score groundedness, task success, safety, latency, and cost. Route high-risk or uncertain cases to people.
Governance & operations
Define ownership, access, logging, monitoring, incident response, model and prompt changes, data handling, and ongoing quality review.
Gemini products have different jobs
Gemini Enterprise
A business-facing environment for employees to find information and use or build agents grounded in enterprise context, subject to configured access and governance.
Gemini Enterprise Agent Platform
The Google Cloud platform for teams building, deploying, governing, and observing custom AI and agent applications. It is the current evolution of the platform previously known as Vertex AI.
BigQuery & enterprise data
The governed data foundation that makes analytics and structured business context available to AI patterns without pretending every source is ready on day one.
Start with one bounded agent
A strong first release has a defined workflow, limited tool permissions, representative evaluation data, human escalation, and an owner who can improve it after launch.
Explore the full Google Cloud capability set
Bring us a workflow with measurable friction—not a request to add AI everywhere.
Scope a production Gemini agent →Google Cloud, BigQuery, Google Kubernetes Engine, Cloud Run, AlloyDB, Spanner, Apigee, Gemini, and related marks are trademarks of Google LLC. SAP product names are trademarks of SAP SE.
