
AI Multi-Step Workflow Automation
Automates an end-to-end business process across several systems with AI decisions.
Try every change on a separate copy of your product first, so the live version customers use is never the test bed.
Editing prompts and settings straight on the live product means customers are the first to find your mistakes. This add-on gives the product you already run a separate staging copy. Your team edits and tries changes there, then promotes them to live through one documented step. Staging uses sandbox accounts where your providers offer them, so tests stay away from live systems.

Staging Environment Setup is an add-on that gives an existing Upmark Labs product a separate staging copy for safe changes. Prompts, knowledge and settings can be edited and tried there, then promoted to live once approved. Promotion is one documented, repeatable step.
A wrong prompt edit or a broken setting on a live agent can give customers bad answers for hours before anyone notices. Staging separates trying from releasing. Your team can experiment freely, a reviewer can approve the result, and the live product only changes when you decide. The written scope covers one staging environment, a documented promotion step, sandbox connections where available and testing with the parent product, so changes become routine rather than risky.
This add-on gives the product a separate staging copy. Prompts, knowledge and settings can be edited and tried there first, while customers keep using the live version untouched.
Changes only reach live once someone approves them in staging. Mistakes can be found and fixed in the copy, before a single customer sees them.
Promotion from staging to live is one documented, repeatable step. Admins follow the same short routine every time, and the updated documentation explains it in plain terms.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 10–20 working days | $2,500 |
Before you start: Note how changes are made today and how many caused problems in the last quarter.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
A second environment means some extra hosting, and testing in staging uses AI model calls. Both are billed to your own accounts. How much depends on how often you test; a quiet staging copy costs little.
Ask about running costsSeveral staging tiers, automatic promotion pipelines, or staging for systems outside the product are beyond this add-on. Describe them at checkout for a written Change Quote. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeeping staging in step with live is part of normal upkeep under the parent product's maintenance, which grows in line with the add-on's price.
Adds $125/mo to maintenance
Covered by the main product's maintenance, which grows by this amount.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A staging tier is often a higher subscription plan | An agency quotes it as infrastructure work | Ours is one fixed price, shown before you buy |
| Promotion | Often copy-and-paste between workspaces | Depends on the brief | Ours is a documented, repeatable step |
| Connections | May hit live systems | Set per project | Ours uses sandbox accounts where your providers have them |
Anything that normally changes on the product: prompts, knowledge sources, settings and flow rules. You try the change in staging, check how the product behaves, then promote it. Structural changes, such as a new connected system, still go through a Change Quote or an add-on.
Only if no test option exists. Where your providers offer sandbox or test accounts, staging connects to those so test changes never touch real records. Where they do not, we agree at intake how staging is limited, such as read-only access, before anything is connected.
Through a defined promotion step set up with you. Someone you name approves the change, and it is copied to live the same way every time. The written handover report and the documentation list every step in order, so anyone on your team can follow them.
No. Staging only uses AI model calls when someone tests in it, and its hosting is usually small. Both sit in your own accounts. A team that tests a few changes a month adds little; heavy daily testing adds more. We talk you through the likely size at intake.
Yes. Staging is built as a copy of the product as it runs today, then kept in step through the documented promotion step. If you are buying the product now, staging follows its delivery speed. Faster speeds are available, each with a fixed price and date shown before you pay.
It helps. Staging gives you a safe place to change things; the Evaluation Test Suite tells you whether the change made answers better or worse. Together they let your team check a change thoroughly, on two fronts, before it ever reaches customers.
Add Staging Environment Setup and every change is tried on a separate copy first, then promoted to live through one documented step.

Automates an end-to-end business process across several systems with AI decisions.

Resolves customer questions across chat and email using your knowledge base and hands off complex cases.
