Do you support Azure OpenAI as well as the public API?

Yes. Azure OpenAI is the usual path when data residency, Microsoft identity, or an existing Azure estate matters. The public API is faster to start when those constraints are not in play.

Is this only models, or agents too?

Both. We deploy GPT as a model and the Agents SDK as a runtime. Agents then call your tools through MCP and, when needed, talk to other agent frameworks over A2A.

Will you lock us to OpenAI?

No. We routinely route legal work to Claude and Workspace tasks to Gemini. OpenAI is one option in the stack, not the stack.

How do you control cost?

Per-team budgets, model routing, and logging. You see which use case spends what before the bill surprises finance.

Salesforce MVP Hall of Fame · Certified Partner since 2010

OpenAI models and agents, implemented for enterprise.

GPT for reasoning, the Agents SDK for tool-using workflows, and Azure OpenAI when your security team wants Microsoft-stack residency. We implement the path that matches your controls, then connect it to Salesforce, n8n, and your memory layer. The first week is in the org, reading what already exists.

Talk to an AI consultant

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.

01Architecture choice: public API vs Azure OpenAI vs Bedrock-hosted alternativesArchitecture choice: public API vs Azure OpenAI vs Bedrock-hosted alternatives

02Agents SDK design: tools, guardrails, and human-in-the-loop for high-risk actionsAgents SDK design: tools, guardrails, and human-in-the-loop for high-risk actions

03Identity and key management that your security team will actually approveIdentity and key management that your security team will actually approve

04Connections to n8n, CrewAI, ADK, and A2A so OpenAI is one runtime, not an islandConnections to n8n, CrewAI, ADK, and A2A so OpenAI is one runtime, not an island

05Cost tracking per team and per use caseCost tracking per team and per use case

Use cases

Where this shows up in the work.

These are the use cases we usually pair with OpenAI.

AI Sales Pipeline Automation

A pipeline the desk can trust. Lead scoring, opportunity tracking, and a forecast built from the org, not a side spreadsheet.

CEO

AI Customer Service Transformation

Cases, knowledge, and the channel the customer already uses. An agent on the repeats. A person on the exceptions.

COO

Product development

A named R&D desk. Requirements, reviews, and a person on the exceptions. Not a $50M savings slide.

R&D Leader

Questions

What we actually say.

Do you support Azure OpenAI as well as the public API?: Yes. Azure OpenAI is the usual path when data residency, Microsoft identity, or an existing Azure estate matters. The public API is faster to start when those constraints are not in play.
Is this only models, or agents too?: Both. We deploy GPT as a model and the Agents SDK as a runtime. Agents then call your tools through MCP and, when needed, talk to other agent frameworks over A2A.
Will you lock us to OpenAI?: No. We routinely route legal work to Claude and Workspace tasks to Gemini. OpenAI is one option in the stack, not the stack.
How do you control cost?: Per-team budgets, model routing, and logging. You see which use case spends what before the bill surprises finance.

The brief

Need OpenAI in a stack you can govern?

Tell us whether you need the public API, Azure OpenAI, or an agent runtime. We will come back with the architecture and the gaps.