Four products. One engineering standard.
Three of them are software with people around the edges. One is expertise, sold as expertise. We are explicit about which is which.
Automation as a Service
Accelerator packs, built for your business.
Working systems for the processes that eat a team every month, across finance, healthcare, IT and operations. Deployed inside your boundary, approved by your people, running in weeks rather than quarters.
02Service as a Software
Mainframe modernization, delivered as software.
Application inventory, dependency mapping, and pipeline generation for z/OS, done by Argo for Z and reviewed by our engineers.
03AI Consulting
Where AI pays, and what it really costs.
Ranked use cases, a readiness read, and a cost model at volume. Led by people who have held the CIO seat and signed the invoice.
04Full Product Lifecycle
Idea to production, one team.
Discovery, design, build, launch, and the operating layer afterward. No handoff between four vendors and no gaps for things to fall into.
Start from what is stuck, not from the product.
- A process eats people every monthSupply chain exposure, call quality review, service desk triage, access recertification. That is Automation as a Service. If a pack already exists for it, you are live in weeks.
- A mainframe program has stalled or been quoted at two yearsService as a Software. The discovery and boilerplate that consumed the first six months runs on Argo for Z instead.
- The board is asking about AI and nobody has a real answerAI Consulting. You get a ranked list, a readiness read, and a cost model.
- You have an idea and no team to build itFull Product Lifecycle. One team from discovery through to the thing running in production.
Three of the four are priced as products.
Accelerator packs and Service as a Software are priced against a defined outcome and a date. Full Product Lifecycle is priced per phase, with a decision gate between each one where stopping is a legitimate outcome.
AI Consulting is the exception. It is expertise, it is sold by the engagement, and it is deliberately short. If it runs long, something has gone wrong.
Do we have to adopt Argo Intelligence?
For Automation as a Service and Service as a Software, yes, that is what makes the pricing work. For the other two, no. Several of our programs run entirely on the client's existing stack.
Where does the software run?
Inside your boundary. Your data, your models, your compute. That is the point of building our own platform rather than reselling someone else's.
What happens when you leave?
Your people run it. You keep the code, the pipelines, and the infrastructure definitions. Long engagements are a failure mode here, not a business model.
Start with a
conversation.
One conversation with our engineers, not a discovery phase. If we are not the right firm for the work, we will say so in the first meeting.