Every one of these was a bottleneck where hiring was too slow and a custom build was too heavy. Five production systems across four countries, from document extraction to a self-hosted voice agent, each on its own 2–4 day sprint.
The first pass fails the guard on purpose — a run that never fails is not worth showing. The dashed path is the retry loop.
Hover a phase to see what happens in it, or a lane to see how far that one had to go.
Hover a phase to see what happens in it, or a lane below to see how far that engagement had to go.
- Mortgage lenderNorth Americawithin the 2–4 day band
- Property managerNew York Citywithin the 2–4 day band
- Skin clinicCanadain production · 48h
- Insurance brokerIndiain production · 48h
- Travel-tech operatorGulfin production · 96h
The phase band is our method, not a shared calendar — these five ran independently, each through its own sprint. Two carry no stated duration and are drawn as dashed bars rather than given a length.
The record is explicit about what a sprint was chosen over, and why.
Five different mechanisms, each keeping the colour it has in the chart above — and what shipped, stated plainly, not as a diagram.
The bottleneckEvery loan file arrived as a stack of documents that a person had to open, identify, read and re-type.
- Application
- Income
- Property
- Disclosures
- Borrower
- Property
- Income
- Liabilities
- Term
A pipeline that reads every incoming file, pulls the right fields out, checks them, and writes clean records straight into the system of record — no manual re-typing.
- n8n Enterprise
- Node.js
- PostgreSQL
- Webhooks
- WhatsApp Cloud API
- OpenAI
- Anthropic
Across all five, a model only ever turns something unstructured into something structured. Nothing it returns reaches a system of record unchecked.
- Identify a document
- Pull fields out of it
- Read a written enquiry
- Understand speech
- Type-check what came back
- Diff against what is known
- Call the system of record
- Decide what happens next
- Reply on the original channel
Most of these flows depend on a legacy portal that offers no webhook and no uptime promise. Watch one fail and self-heal.
- Trigger fires
- Fetch from legacy portaldid not drop the job
- Retry, backing offwaiting longer
- Retry, backing off furtherwaiting longer
- Succeeded
- Written downstream
The mechanism is real; the backoff intervals shown are illustrative.
- Automated retryA failed call backs off and runs again rather than dropping the job.
- Real-time alertingA run that exhausts its retries raises an alert instead of failing silently.
- Error telemetryEvery step reports, so a broken portal is visible before a client notices.
Every proof on this page was a bottleneck where hiring was too slow and a custom build was too heavy. A sprint is what fits between those two.
- Mortgage lender (North America)
- Property manager (New York City)
- Skin clinic (Canada)
- Insurance broker (India)
- Travel-tech operator (Gulf)
- 80%
- Peak workload cut
- Mortgage lender back-office document processing.
- 99.9%
- Reliability
- Automated retry and alerting across every deployed flow.
- 5 Cases
- Deployed
- Across four countries, in production.
- 2 People
- Per pod
- Dedicated automation pods, not a shared queue.
Each operator is described by sector and region rather than by name, so publishing never waits on a client's sign-off. The figures are unchanged either way — our delivery record is independently verifiable on Upwork.
What our 2-person automation pods build in 2–4 days.
- n8n Enterprise workflow and API orchestration
- Legacy portal scraping where no webhook exists
- WhatsApp Cloud API lead and quoting pipelines
- Document classification and optical field extraction
- Self-hosted LLM feasibility POCs (Mistral / LLaMA)
- Exponential retry, dead-letter recovery, and telemetry alerting
Got a manual back-office bottleneck or an unintegrated legacy portal? We deploy dedicated pods in 48 hours.
Book an automation scoping sprint