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.
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 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.

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

Product development
A named R&D desk. Requirements, reviews, and a person on the exceptions. Not a $50M savings slide.
Related reading
From the blog.
Research-led notes that back this page.
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.
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
You might also need
OpenAI Agents SDK
Typed agent steps: structured outputs and function calling.
Claude (Anthropic)
Deploy Claude enterprise-wide via API, AWS Bedrock, or Azure.
Google Gemini
Gemini for Workspace and Vertex AI, implemented and governed.
Jev
OpenAI writes. Jev decides. The small calls in between, in a fraction of a second.