Salesforce MVP Hall of Fame · Certified Partner since 2010
Gemini for Workspace and Vertex AI.
Your staff are already pasting company data into a chat window. Gemini in Workspace gives them the same help inside your admin controls and data regions, and Vertex is where the custom work belongs when a feature is not enough. The first week is in the org, reading what already exists.
Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks
- 01Models · Claude, Gemini, OpenAI, Bedrock
- 02Agents · Agentforce, CrewAI, ADK, A2A
- 03Memory · Neo4j, Cognee, RAG
- 04Identity · IndyKite, SSO, entitlements
- 05Governance · policy, audit, human override
What we put in
The work on this layer.
The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.
Use cases
Where this shows up in the work.
These are the use cases we usually pair with Google Gemini.
AI IT Support Transformation
Ticket routing and a knowledge desk. An agent on the repeats. A person on the exceptions.
Content creation
A content desk with a reviewer. Scale after the voice is named. Not a 42x email ROI.
Health awareness
A public-health desk. Content, language, and a reviewer. We will not invent AED 15M or 2.8M residents.
Questions
What we actually say.
- Do you implement Gemini for Workspace or only Vertex?
- Both. Workspace for staff productivity, Vertex when you need custom applications, RAG, or ADK agents on Google Cloud.
- How does Gemini connect to agent frameworks?
- We typically pair Gemini with Google ADK for agent runtimes, and A2A when those agents must talk to CrewAI or Salesforce Agentforce.
The brief
Want Gemini in production, not a pilot?
We will tell you which path fits (Workspace, Vertex, or both) and what governance you need before go-live.
Tell us the process
Name the job a person still does by hand. We read the org and write what is worth fixing.
Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks