Buy the outcome, not the project.
Automation, mainframe modernization and AI, delivered as accelerator packs and priced against a result and a date.
Consulting works better when it is measured on the result.
Much of any enterprise program repeats across every client. Application inventory, pipeline setup, reconciliation logic, access reviews. All well understood, and rebuilt from a blank page every time.
We turned those parts into software and priced them against an outcome. Our people go where the hard thinking is. You get a shorter program, a firm number, and senior engineers on the decisions that need them.
Four products. One engineering standard.
Automation as a Service
Accelerator packs, built for your business.
Working systems for the processes that eat a team every month: supply chain exposure for finance, call quality for a contact center, service desk triage for IT. Deployed inside your boundary, approved by your people, running in weeks.
02Service as a Software
Mainframe modernization, delivered as software.
Application inventory, dependency mapping, and pipeline generation for z/OS. The work a large team used to do manually, done by Argo for Z and reviewed by ours.
03AI Consulting
Where AI pays, and what it really costs.
The one thing on this list that is still sold as expertise. Led by people who have held the CIO seat, signed the invoice, and answered to the board about it.
04Full Product Lifecycle
Idea to production, one team.
Discovery, design, build, launch, and the operating layer that keeps it alive afterward. No handoff between four vendors and no gaps for things to fall into.
The repeatable work runs on the platform. Our engineers do the part that needs a person.
Argo Intelligence is an agentic AI platform built by Graytitude, running inside your boundary on your data, your models and your compute. It is why we can commit to a result and a date, and it is what two of the four products are built on.
We work on the systems a business cannot run without.
We start with one outcome and prove it in weeks.
Scope one outcome
A single result we can both point at, with a date and a definition of done.
Deploy the pack
Software first. Where an accelerator pack does the work, we use it rather than staffing it.
Prove it in production
Inside your change control, with your approvals, on a system that matters.
Hand it over
Your people run it. We stay only as long as we are useful.
What we have learned, written down.
Graytitude · 9 min
Sovereignty is three decisions, not one.
Where the data sits, who chooses the model, and whose compute it runs on. Most platforms pass on one and fail the other two.
ReadGraytitude · 7 min
The model is not the moat.
You will not be locked in by the model. You will be locked in by the six things you built around it.
ReadGraytitude · 8 min
What enterprise automation looks like in three years.
The disappearance of the exception queue, approval as the primary interface, and packs replacing projects.
Read