What we've built

The challenge

A company was processing collections from six different banks manually. Two people per bank, four hours a day, every day. The work was repetitive, error-prone, and impossible to scale — any new bank relationship meant hiring more people.

How we built it

We started with the highest-volume bank to prove the model, got it running in production within three weeks, then rolled out the remaining five portals over the next month. Each agent was tuned for the specific portal's UI and login flow.

What we built

We built a set of front-end automation agents — one per bank portal. Each agent logs in, navigates the portal, extracts payment data, and downloads the records. A reconciliation agent then matches everything against internal records and flags discrepancies. The entire flow runs unattended, on a schedule.

Results

• 960 hours/month of manual work eliminated
• Fewer errors in reconciliation
• Faster cash visibility — data available same day instead of next day
• Every run tracked and auditable in Mesh

The challenge

Updating order statuses in a supplier portal required a team of four people, three hours every day. They had to log in, navigate to each order, check the status, update the internal system, and move to the next one. Hundreds of orders, every single day.

How we built it

The agent was prototyped in one week using a recording of the manual workflow. We iterated with the operations team to handle edge cases (partial shipments, cancelled orders, portal maintenance windows) and deployed to production in three weeks.

What we built

We built an agent that navigates the supplier portal exactly like a person would — login, search, read status, extract data — then pushes the updates to the internal system automatically. It handles pagination, session timeouts, and retries on its own.

Results

• 240 hours/month of manual work recovered
• Full traceability — every order update is logged with timestamp and source
• Status updates available within minutes instead of hours
• Zero missed updates since deployment

The challenge

A team was spending dozens of hours every week manually re-keying data between systems that didn't talk to each other. Information from one platform had to be copied, reformatted, and entered into another — every time with the risk of typos, missed fields, and stale data.

How we built it

We mapped every field and transformation rule with the team, built the agent with full validation and error handling, and ran it in parallel with the manual process for two weeks before cutting over. The team reviewed exceptions only.

What we built

We built a system automation agent that reads data from the source systems via APIs and file exports, transforms it to match the target format, validates it against business rules, and pushes it into the destination system. No human in the loop for the standard flow.

Results

• 80+ hours/month of manual data entry eliminated
• Cleaner data — validation catches errors humans missed
• No supervision required for standard flows
• Telemetry on every run — records processed, errors caught, duration