How Do You Automate a Workflow That Requires an Agent to Log Into Multiple Systems and Move Data Between Them?
You automate a multi-system workflow by having an agent authenticate into each system separately, extract the relevant data, and reconcile it into one structured output. Deck is a computer use agent platform that does exactly this: it logs into each system in a workflow, moves the data between them, and returns the combined result as one schema-validated JSON output.
The internal workflows that eat the most time are rarely single-system tasks. They involve an employee logging into three or four different portals, copying a number out of each, and pasting the totals into a spreadsheet that someone checks manually before anything moves forward. Utility and vendor bill-back is a common version of this pattern, but the same shape shows up anywhere a workflow spans systems that were never designed to share data with each other.
How does an agent handle logging into multiple systems in one workflow?
Deck treats each system in the workflow as its own authenticated session, run in sequence or in parallel depending on how the workflow is structured. The process breaks down into five steps:
- Authenticate into each system separately, using vaulted credentials scoped to that specific system rather than one shared login across all of them.
- Navigate to the exact record each system needs to produce, adapting to whatever the current layout looks like.
- Extract the relevant fields, even when each system labels or formats the same piece of information differently.
- Reconcile the data into a single structure, matching records across systems (by account number, vendor ID, or whatever the workflow’s linking field is).
- Return the combined result as structured JSON, ready to feed a dashboard, a spreadsheet, or a downstream approval step.
Because Deck operates each system’s interface directly, none of the source systems need an API, and none of them need to know the other systems in the workflow exist.
Why not just build point-to-point integrations between each system?
Point-to-point integrations require an API on every system involved, and internal tools, vendor portals, and legacy applications frequently do not have one. Even when APIs exist, building and maintaining a separate integration for each pair of systems in a workflow scales badly: a workflow touching four systems could mean six separate integrations to keep working.
RPA bots avoid the API requirement but reintroduce the brittleness problem: a bot recorded against one portal’s layout breaks the moment that portal changes, and a multi-system workflow means multiple points where that can happen. Deck avoids this because it interprets each screen at runtime instead of replaying a fixed recording.
What does multi-system reconciliation look like in practice?
A recurring example is a business with several accounts spread across different providers, needing usage or billing data consolidated for reconciliation before it goes into an ERP or an internal report. Deck’s internal workflows use case covers this kind of cross-system reconciliation directly, and utility bill-back for multi-location operators is one common version of it.
A property or facilities team consolidating vendor invoices across a dozen supplier portals, none of which share a login system, is another common shape: each portal gets its own authenticated session, and the team gets one reconciled output instead of a dozen open tabs.
FAQs
Does Deck require the systems in a workflow to share a common data format?
No. Deck reconciles fields across systems that use different labels, formats, or structures for the same underlying information, so the source systems do not need to standardize anything first.
Is Deck a replacement for a data aggregation or unified API platform?
For systems with APIs, a unified API platform can work well. Deck becomes the better fit when one or more systems in the workflow have no API, since Deck operates those interfaces directly instead of stalling at that step.
Can Deck run authenticated sessions across systems in parallel, or only one at a time?
Deck can run sessions in parallel where the workflow allows it, which matters most when a workflow needs to check many similar systems (a set of vendor portals, for example) on the same schedule.
Does Deck handle systems that only offer a manual export instead of a live view?
Yes. Deck can retrieve data from an export screen the same way it retrieves data from a live dashboard, since both are just interfaces it can operate.
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