We need to control our data sovereignty.
No answer to where the data went, whose model read it, or whose hardware ran it. So the pilot dies in review.
The open harness for enterprise AI
AI agents that complete
AI agents that complete
the work.
Secure and personalized. Argo Intelligence runs multi-step workflows integrating every system you own, while your data and compute are never out of your control.
Now in private beta
Already running inside real companies.
Real systems, not demos
Every engagement starts with a process that already hurts, running inside the customer's own infrastructure.
Read-only to start
Your environment, your security review, and a clean stop at any point if it isn't working.
Your process shapes the roadmap
What we take on in beta decides what gets built next. Slots are limited.
Why we built it
Most AI tools stop at the answer.
Ask a chatbot where the auto-renew clause is and it will tell you in seconds. Useful. But the answer was never the expensive part.
The cost is everything after it, and today a person carries that across four systems by hand. Argo Intelligence does the carrying. It plans the workflow, works across every system involved, checks its own results, and stops for a named human before anything is written.
What you askedanswered in 2 seconds
“Which of our vendor contracts auto-renew next month?”
everything after the answer
Argo does all of this
Done by hand todayTime it takes a person
- Open each vendor record25 min
- Check the renewal terms40 min
- Draft the notices90 min
- Find someone with authority to send2 days
By hand todayAbout two and a half days
With ArgoOne workflow, one approval
In plain English
- Agentic
- Software that carries out a task from end to end, rather than answering a question and waiting. It runs for hours if the work takes hours, and it survives a restart.
- Harness
- The layer that holds the pieces together: your systems, the models, the compute, and the rules about who may do what. One place to connect, one place to govern.
The first meeting
Three things we hear almost every time.
Our systems hardly talk to each other in an intelligent way.
Integrations move fields. People move meaning, by hand, between applications.
Our critical transactions run on obsolete processes and systems.
Every AI vendor you've met has left these systems out of scope.
What Argo does
Three products. One layer underneath.
Four reasons
Why Argo?
Your data neverleaves your building.
Copilot runs on Microsoft's infrastructure. Most AI startups run on theirs. Argo Intelligence is deployed inside your boundary, and reads your systems where they already sit.
Typical AI platform
Your data→Their cloud→Their modelLeaves your boundary
Argo
Your data→Your cloud→Your modelNever leaves
Every system you own.Including the mainframe.
Assistants live inside one vendor's suite. Point tools cover one department. Argo Intelligence connects to anything with an API, and treats z/OS as a first-class system.
Typical AI platform
Email→Docs→ChatOne vendor's suite
Argo
SAP→ServiceNow→GitHub→Snowflake→z/OSAnything with an API
It completes the work,rather than drafting it.
A chatbot answers and waits for you to do the rest. Argo Intelligence runs the workflow for as long as it takes, recovers on its own, and proves what it touched.
Typical AI platform
Question→Answer→Over to youYou do the rest
Argo
Plan→Run→Recover→You approve→DoneRuns to done
The exit is written downbefore you sign.
Most platforms are cheap to start and expensive to leave. Your workflows, your audit history and your connectors are all yours in formats that outlive us.
Typical AI platform
Their format→Their export→Their timelineLocked in
Argo
Readable text→Open audit log→MCP & OpenAPIYours to take
Ecosystem
It plugs into what you already run.
Work & docs
Microsoft 365Google WorkspaceSharePointBoxConfluenceSlack
Business systems
SAPOracleWorkdaySalesforceCoupaDocuSign
Mainframe
z/OSIBMBroadcomBMCRocketLegacy SCM
Argo
TWO WAYS IN
- MCP SERVER
- OPENAPI SPEC
Dev & delivery
GitHubJiraJenkinsAnsibleServiceNowAzure DevOps
Data & signals
SnowflakeDatabricksSplunkDatadogAWSAzure
Everything else
Your ticketing systemYour data warehouseYour build serverYour custom API
About a day to connect most systems
No bespoke adapter to buy
Permissions come from the source
Questions we get asked
The things people ask in the first call.
How is Argo Intelligence different from Microsoft Copilot?
Copilot is an assistant inside Microsoft's applications, running on Microsoft's models and Microsoft's infrastructure. Argo Intelligence is a harness that runs inside yours. It reaches every system you own, including SAP, ServiceNow, your repositories and the mainframe, and it runs on models and compute you choose. The difference shows up most in two places: what Argo Intelligence can reach, and where your data goes while it works.
Is Argo Intelligence a chatbot?
No. Argo Intelligence has a chat entry point, but a chatbot answers and stops. Argo Intelligence plans the workflow, runs it across your systems for as long as it takes, recovers from failures, checks its own claims, and pauses for a named human before anything is written. The conversation is one way in, not the product.
Do I have to move my data to use it?
No. Argo Intelligence reads your systems in place, using the permissions that already exist there. There is no corpus to upload, no index living in someone else's cloud, and nothing copied out to be embedded. Argo Intelligence is deployed inside your boundary: your cloud account, your data center, or a named region. Air-gapped deployments are supported.
Which models does it use, and can I bring my own?
Several models ship with Argo Intelligence and work on day one, along with a managed inference provider, so nothing needs procuring before you start. If you have a model of your own, commercial or open-weight, you can point Argo Intelligence at it. Swapping is a configuration change: your workflows, connectors and audit history are untouched, and no provider ever trains on your data.
Can it really touch the mainframe safely?
Nothing is installed on the LPAR. Argo Intelligence authenticates through PassTicket and SAF and acts as a real user under your existing RACF, ACF2 or Top Secret rules, so it reaches exactly what that user is permitted and nothing more. It is read-only until you decide otherwise, every write passes the same approval gate as the rest of the platform, and every read, write and approver is logged.
What stops it from doing something we didn't approve?
Four gates, always in the same order. Security first: who is asking, resolved against your identity provider. Human in the loop: a named approver sees what will happen, in plain English. Verified claims: what Argo Intelligence says it did is checked against what actually ran. Complete audit trail: the whole thing is written down in an open format. No setting removes the approval gate. Instructions arriving inside documents are treated as data and never executed.
What happens to our workflows if we stop paying?
Your data never moved, so there is nothing to migrate home. Every agent exports as readable text with its connector definitions, and the full tamper-evident audit history exports in an open format you can read without us. Connectors are built on MCP and OpenAPI, so what you built keeps working with whatever replaces us. We delete our side on a defined schedule and confirm it in writing.
Does Argo Intelligence replace our migration and integration projects?
No. It removes the mechanical work inside them. Deciding what moves, in what order, and what "done" means still takes engineers. Graytitude can run the engagement, your team can run it with our tooling, or your existing integrator can. Argo Intelligence is not exclusive to any of the three.
Next
Pick one thing that hurts.
One process, scoped together, with the numbers agreed up front.