Discover. Automate. Monitor.
Foundry OS is one workspace for the work that usually lives in five tools: document how a process really runs, fund the right automation, deploy digital workers, and watch production as it happens.
Why teams need Foundry OS
The work is real. The system around it is not — so knowledge stays in people’s heads, bots go live without a case, and nobody can see what failed at 4pm.
SOPs rot in shared drives. Workshop notes never become a map. Nobody agrees on the happy path versus the exception path.
Teams automate low-volume work while high-cost exceptions wait. Leadership has no portfolio view of savings or readiness.
Invoice mismatches, missing POs, and edge cases pile up in email. There is no queue, no form, and no audit trail.
When a worker fails, nobody knows which run, which step, or whether it is safe to retry.
Analysts document in one place, builders ship in another, and ops watch a third — if they watch at all.
Approvals, budget sign-off, and “who changed what” cannot be audited when they live in chat.
Discover · Process Hub
You would not automate a kitchen without a recipe. Process Hub is where teams capture owners, maps, cost, and sign-off — so automation starts from an agreed process, not a guess.
When the only process map is in someone’s head, every automation project starts with a rediscovery workshop. The repository is the catalogue: search, filter, and open the variation that is actually in use.
Workshops vanish into notes. The SME list lives in someone’s inbox. Finance asks for a number nobody can produce. Each tab on a process variation closes one of those gaps.
Decide · Transformation Pipeline
Leadership will not pay for every idea. The pipeline is the portfolio wall: potential savings, nominated work, and a clear yes on budget before delivery starts.
Without a scored pipeline, the loudest stakeholder wins. Assessed processes show annual savings, ROI, complexity, and whether budget is actually available — then flip “should be automated” only when the case is real.
Build · Process Forge
Blueprints and budget are not a working plant. Digital workers — API, RPA, AI, database, script, or SMTP — do the work. Automated processes chain those workers into a conveyor.
Bots usually hide in a developer’s folder, an RPA vendor console, and an API script nobody owns. The production registry shows what is running, failed, idle, or unresolved — and whether work arrives from a queue.
RPA needs credentials and code. AI needs a prompt. APIs need a verb and a URL. Databases, scripts, and mail each have their own setup. They all live in the same type-aware workspace — same Run, same history, same production status.
Most “automation” is a single bot. Real work is a pipeline: detect the invoice, extract the fields, summarise the exception, notify the clerk. Automated processes are those chains — designed on a canvas, inspected in production.
Run · Opera
Project and Forge built the machines. Opera is where they get power, a start button, and a control room — schedules, queues, machines, the Windows RPA agent, live runs, and logs you can act on.
A 504 from an API should not be a mystery email the next morning. Live Monitoring lists every run, expands the issue, and hands you the log. Ask AI if you would rather type the question.
When match-fail invoices land in email, they wait. Queue Manager is the dock: pending, processed, and failed items, filterable by worker or submitter, with the submitted form still attached.
Nightly batches should not live in a cron on someone’s laptop. Scheduling puts workers on a calendar, on a named machine. The machine registry is the shop floor: connect, issue a key, download the RPA agent.
Opera can schedule and queue all day. Nothing runs until a Windows machine is listening. The QF RPA Client is that connector: paste the orchestrator key, and the agent executes robot code on the deployed box — then streams CPU, RAM, and live logs back to the cloud.
Ask AI
Operators should not have to remember which filter shows today’s failures. Analysts should not retype a workshop diagram into a form. Ask AI uses Foundry OS tools — list runs, create a process, or stand up an API or RPA worker — in plain language.
“What are failed runs today” returns the worker, the timestamp, and the last issue — Gateway Timeout, missing file, whatever stopped the line.
Upload the flowchart from the workshop. Ask AI to create the process. Correct it mid-conversation if you meant a business process, not an automated one.
Name the endpoint and where the auth headers should live. Ask AI creates the worker, stores the credentials, and asks which environment to use.
Ask it to open Calculator, do the sum, and write the result to the desktop. Ask AI finds the worker, confirms the name, and uploads the new robot code.
Book a session
Share a few details and we will arrange a live walkthrough of the workspace — from process discovery through to production monitoring.
Use the form to introduce your organisation and the processes you want to improve.
A member of the Quantum Foundry team will follow up with a 30-minute session that fits your diary.
We walk the same path you just saw: repository, assessment, workers, queues, and live runs — on a scenario that matches your operation.
