AI stack
The first week is in the org, reading what already exists. The gold layer is not optional.
Layers
Hover the model on the hero to explode it, or read the layers below. Same five, from models to governance.
The reasoning layer. We pick the model that fits the job, then deploy it so data stays where it should.
How agents plan, call tools, and talk to each other. Frameworks and protocols, not a single vendor lock-in.
What the agent remembers: graphs, identity, and long-term context so answers stay grounded.
Workflows and voice agents that connect models to Salesforce and the rest of the stack.
Deployment and governance. The work that turns a pilot into a production system.
Tools
The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.
Deploy Claude enterprise-wide via API, AWS Bedrock, or Azure.
Gemini for Workspace and Vertex AI, implemented and governed.
GPT models and the Agents SDK. Azure OpenAI when you need it.
Private multi-model AI inside your VPC. AWS HIPAA BAAs and SOC 2 available.
Google Agent Development Kit on Vertex AI.
Agent2Agent interop across CrewAI, ADK, and Agentforce.
Multi-turn Claude agents that validate output before writing.
Typed agent steps: structured outputs and function calling.
Cyclic agent graphs with human approval gates.
Salesforce-native agents. Use when the work lives in the org.
Multi-agent automation that replaces brittle RPA scripts.
Orchestrate AI agents across your Salesforce ecosystem.
Standard tool and data connectors for AI agents.
Graph memory and GraphRAG for enterprise agents.
Agentic memory so agents remember across sessions.
Identity knowledge graph for agent authorization.
AI workflow automation connecting Salesforce, AI, and your tools.
Voice AI agents for customer service and sales.
From pilot to production: strategy, governance, and adoption.
EU AI Act, DIFC Reg 10, NIST AI RMF compliance frameworks.
Architecture
The stack is what we install in your org. The planes are how it is assembled, so an agent does not end up as a chatbot with write access.
Five planes, five axioms, and the first slice.
Slack, portals, and voice. Where people meet the work.
One front door for every tool call and model call.
Agentforce, code agents, and the SDKs.
Truth, working context, and decision history.
Queues, retries, and the write that has to hold.
The brief
Name the layer. Name the org.
