The Agent Development Kit is Google’s framework for building tool-using agents on Vertex AI. It is the runtime. Gemini is usually the model. We implement both.

How is ADK different from CrewAI?

ADK is the natural choice when you are already on Google Cloud. CrewAI is often a better fit for RPA replacement and mixed-model crews. We use A2A when both need to cooperate.

Can ADK agents reach Salesforce?

Yes, through MCP connectors or MuleSoft, with the same access review we apply to any agent tool.

Salesforce MVP Hall of Fame · Certified Partner since 2010

Google ADK agents on Vertex, not a demo notebook.

The Agent Development Kit is how Google wants enterprises to build agents on Vertex. We implement ADK agents that call your tools, keep identity in Workspace or Cloud IAM, and talk to other runtimes over A2A when the job spans more than one stack. The first week is in the org, reading what already exists.

Get the written assessment

Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks

Related use cases

01Models · Claude, Gemini, OpenAI, Bedrock
02Agents · Agentforce, CrewAI, ADK, A2A
03Memory · Neo4j, Cognee, RAG
04Identity · IndyKite, SSO, entitlements
05Governance · policy, audit, human override

01 · MODELS

02 · AGENTS

03 · MEMORY

04 · IDENTITY

05 · GOVERNANCE

Hover to separate the layers

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.

01ADK project setup on Vertex with logging and evaluationADK project setup on Vertex with logging and evaluation

02Tool wrappers for Salesforce, ticketing, and internal APIs, often via MCPTool wrappers for Salesforce, ticketing, and internal APIs, often via MCP

03Guardrails and approval steps for actions that change customer or financial dataGuardrails and approval steps for actions that change customer or financial data

04Handover so your engineers can add tools without starting overHandover so your engineers can add tools without starting over

Use cases

Where this shows up in the work.

These are the use cases we usually pair with Google ADK.

AI IT Support Transformation

Ticket routing and a knowledge desk. An agent on the repeats. A person on the exceptions.

CIO

Quality assurance

A test desk. Coverage you can name. A person on the defect that matters. Not a 675% ROI.

QA Director

Data analytics

A view on records the org already trusts. Tableau or the CRM report after the duplicates are gone.

CDO

Questions

What we actually say.

What is Google ADK?: The Agent Development Kit is Google’s framework for building tool-using agents on Vertex AI. It is the runtime. Gemini is usually the model. We implement both.
How is ADK different from CrewAI?: ADK is the natural choice when you are already on Google Cloud. CrewAI is often a better fit for RPA replacement and mixed-model crews. We use A2A when both need to cooperate.
Can ADK agents reach Salesforce?: Yes, through MCP connectors or MuleSoft, with the same access review we apply to any agent tool.

The brief

Building agents on Vertex?

We will tell you whether ADK is the right runtime, what tools it should have, and how it talks to the rest of your stack.

Tell us the process

Name the job a person still does by hand. We read the org and write what is worth fixing.

Get the written assessment

Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks

You might also need

Google Gemini

Gemini for Workspace and Vertex AI, implemented and governed.

A2A Protocol

Agent2Agent interop across CrewAI, ADK, and Agentforce.

Model Context Protocol

Standard tool and data connectors for AI agents.

See all AI tools