Make customer-specific agents work in production.
Workflow Corp helps vertical AI implementation teams turn customer recordings, prompt patches, and failed runs into explicit workflows they can test in the stack they already use.
More customers should not mean more prompts.
- 01
A customer shows your implementation expert how the work gets done.
- 02
The expert turns that knowledge into a prompt.
- 03
Every missed step becomes another instruction.
- 04
Soon the business depends on prompts no one can safely understand or change.
Things you keep adding to your prompt.
The prompt becomes an incident log. Every failure adds another sentence, but the sentence remains mixed with the operating instructions.
“Consulting services maps to 4000 Consulting revenue.”
Mapping table“Match customers by billing email when their Xero name is different.”
Matching rule“If the sales-order ID already exists in Xero, do not create another invoice.”
Precondition“If the PO number is missing, save the invoice as a draft.”
Conditional branch“Invoices above $50,000 require finance approval before posting.”
Approval gateRecord your work.
Record Screen- 01Read eligible sales
- 02Match customer records
- 03Create Xero drafts
- 04Verify invoice count
- Inputs retained
- Actions replayed
- Result checked
Inputs retained · actions replayed · result checked
Failures have an address.
A failed run points to one step, the input that caused it, and the rule that is missing. Fix that step, then retry from it.
INV-1048 · “Consulting services” has no Xero account mapping.
Measure implementation work before you promise scale.
Use a two-week sprint to build and test ten representative customer workflows in the runtime your team already uses.
- 01Build faster
Record the work. Compile the agent.
- 02Repair one step
Fix the failed step. Retry from it.
- 03Reduce maintenance
Keep business rules out of the prompt.
One expansion decision, based on measured work and failures.
Agents should write workflows.
Production should run programs.
Work should not disappear inside a prompt. It should exist as an explicit program that can be inspected, verified, replayed, and improved.