Document approval routing
Inbound documents deduplicated on their content, read under a fixed output schema, then routed through approval tiers that each pause for a person before anything is booked.
Use cases
Two builds that show what a Runtara deployment actually looks like — one shaped by a hard compliance boundary, one by a schedule. Both are our own builds on synthetic data rather than customer systems, and both can be run live on a call.
- Loan pre-approval, air-gappedExtraction, screening, and the approval gate all run inside the boundary.
- Lead qualification, on a scheduleScored, deduplicated, and delivered exactly once, with the pursuit decision left to a person.
Your process would be a different workflow on the same engine. These exist so the shape is concrete before we scope yours.
- Runs are durable: a restart, a deploy, or a week spent waiting on a person costs nothing.
- Every step keeps what it received and what it returned, so a past run can be inspected and replayed.
- People decide where judgement belongs. The run pauses and waits for the answer.
- The same workflow definitions run wherever the data is allowed to live.
Use case example
Loan pre-approval, air-gapped
Loan pre-approval deployed inside a private cloud account with no route to the public internet. The workflow extracts data from submitted documents, screens counterparties against third-party risk providers, writes decisions back to a CRM, and pauses at human approval gates where a person — not a model — makes the call.
- Nothing about the process leaves the perimeter. That is usually the requirement, and it is what makes the deployment possible at all.
- Every run is replayable, and the full decision record sits in a database an auditor can read directly.
- Synthetic data, deployed the way a real customer deployment would be — runnable live on a call.
Use case example
Lead qualification, on a schedule
An unattended run that mines public listings for new business. Every thirty minutes it resumes where the last run stopped, walks each saved search back only as far as records it has not seen, and paces itself to stay inside the source's rate limits. Each new listing is scored against an ideal-customer profile by a model held to a fixed output schema.
- The companies behind those listings are resolved and deduplicated into records you can query.
- What qualifies is delivered one message per lead, marked sent only once that message lands — so a failure part-way through a batch re-sends exactly what is missing and never a duplicate.
- The run does the sifting. A person reads the detail, asks for a deeper assessment, and decides what to pursue.
Other shapes the same engine takes.
Every one of these is a process that starts on a schedule or a webhook, holds its state while it waits, and keeps a person at the point where judgement is required.
System-to-system reconciliation
A webhook-driven run that recomputes the desired state on every delivery, so an edit, a retry, and a duplicate all converge on the same result instead of stacking up.
Inventory and stock sync
Events forwarded between operational systems, with anything unmapped or non-conforming held for a human to resolve rather than rounded off and pushed through.
Order exception handling
Clean orders fulfil without anyone touching them; genuine exceptions pause for an operations decision, and the whole run stays inspectable afterwards.
Bring us the process.
Tell us what the process is and which constraint you are under. We will show you the example builds running, then scope what the same thing looks like inside your environment.