Business process automation for the work that runs on records.
Somewhere in your operation a team is re-keying public records, checking registries by hand, and reconciling lists in spreadsheets. Recordpipe replaces that with managed business process automation: we design the workflow in scoping, run it in production on the infrastructure that already processes over one million public records nightly, and deliver the output into your systems.
Data entry automation
Lookups and re-keying from public sources automated end to end, output in your schema.
Document processing automation
Recorded instruments, filings, and PDFs turned into structured rows with source references.
Monitoring and reconciliation
Your internal lists re-verified against public records on cadence, with a diff instead of a project.
Intelligent automation layer
Classification, entity resolution, and ranking applied before delivery, so what lands is decision-ready.
Business process automation services for data-heavy back-office work
Business process automation gets sold as software. Recordpipe sells it as an outcome. The work we automate is the data-heavy back office: collecting records from public sources, running lookups one entity at a time, monitoring for changes, and reconciling what you hold against what the public record says. You define the process and the output. We build the automation, run it on our infrastructure, and deliver the result.
That scope is deliberate. Public-records work is repetitive, high-volume, and brittle — exactly the kind of process that eats analyst hours and breaks when a source changes. It is also where a managed operator beats a licensed tool, because the maintenance never stops and someone has to own it.
Processes that fit: license and registration verification, filing and permit collection, court and registry monitoring, portfolio reconciliation, and bulk lookups that today run through a spreadsheet and a queue of browser tabs. Processes that don't: anything inside your CRM, ERP, or ticketing system. Our automation points outward, at the public record.
A business process automation company that keeps running what it builds
Most process automation services end at handover. A consultancy builds the bots, trains your team, and leaves. Then a source changes its layout, the bots stop, and the person who understood them has moved on. Recordpipe is a business process automation company in a narrower and more useful sense: we keep running what we build, for the life of the contract.
Each engagement follows the same path. A $500 scoping confirms the process is feasible against public sources, produces a sample of real output, and prices a fixed build within 5 business days. Then we build the workflows, test them against an acceptance sample you approve, and move them into scheduled production. From that point the service is operational: every run monitored, output validated against your schema before it ships, breakage repaired and backfilled without a ticket from you.
Contracts run from $5,000 for a single automated process to $3 million for a portfolio of standing pipelines, with the scoping fee credited. You never license a platform, hire a bot team, or patch an orchestrator. The RPA at scale page covers the runtime in detail.
Intelligent automation and hyperautomation, without the platform bill
Intelligent automation services and hyperautomation services describe the same ambition: chain collection, extraction, and decisioning into one flow that runs without a person in the loop. The enterprise version usually arrives as a platform purchase and a long transformation program. For back-office data work, you can buy the result instead.
Recordpipe pipelines already combine the layers a hyperautomation program is supposed to assemble. RPA handles the collection and the per-record lookups. Validation checks every run against the expected shape. An AI analysis layer classifies records, resolves entities across sources, deduplicates, and ranks what matters, so your team works exceptions rather than volume. Delivery pushes the result into the system that needs it.
The distinction is ownership. A platform makes you the operator of intelligent automation. A managed service makes you the consumer of its output. If your goal is a verified, reconciled, deduplicated dataset arriving on schedule — not an automation center of excellence — the second path is shorter, cheaper, and does not depend on hiring people who are hard to find.
Data entry automation and document processing automation, on cadence
Data entry automation is the process most teams start with, because the cost is visible: analysts keying registry results, permit details, or filing data into a system, one lookup at a time. Recordpipe replaces the keying with a pipeline. The lookup is submitted by automation, the result is parsed into structured fields, and the row lands in your system through a file, a warehouse load, a webhook, or a hosted API.
Document processing automation covers the harder version. Many public records arrive as scanned images, PDFs, or free-text filings. The pipeline extracts the fields you specified, applies validation rules, and flags anything ambiguous for review instead of guessing. Your team reads exceptions; the volume is handled.
Both run on cadence. Nightly, weekly, monthly, or triggered by an event, each cycle collects, normalizes, deduplicates, computes what changed, validates, and delivers with a run manifest. That is what workflow automation services look like when the deliverable is the data itself: no bots on your desktops, no licenses to count, and a schema that stays stable so downstream ingestion never churns.
What an engagement delivers
| Deliverable | Description |
|---|---|
| process_specification | Written definition of the automated process — inputs, sources, fields, rules, cadence — agreed in scoping and versioned thereafter. |
| acceptance_sample | Real output from the built workflow, in your schema, approved by you before production starts. |
| scheduled_runs | The automation executing on cadence on our infrastructure, monitored, with a human on the escalation path. |
| structured_output | Rows in your schema delivered by file, warehouse load, webhook, or hosted API. |
| lookup_results | For per-record processes, one structured result per submitted query, with match status and confidence. |
| extracted_documents | Fields pulled from PDFs, scans, and free-text filings, with the source document reference retained. |
| exception_queue | Ambiguous matches, validation failures, and source anomalies routed to your reviewers with context. |
| run_manifest | Per-run window, coverage, delta, and checksum so your ingestion can trust the delivery. |
| change_notices | Written notes when a source alters what it publishes, with the effect on your process. |
| maintenance_and_backfill | Repair of broken workflows and recovery of missed cycles, owned by us, without a ticket from you. |
In the field.
Back office automation for an insurance operations team
An insurer's operations team can replace a manual license-verification queue with a scheduled process: every producer and adjuster re-checked against state licensing records on cadence, results loaded to the policy admin system, lapses pushed to a review queue. The team reviews exceptions instead of running lookups.
Data entry automation at a title company
A title company's back office can automate the pull of recorded documents and assessor data for every open order, with fields extracted and posted to the production system as structured rows. Examiners start with a populated file rather than a stack of tabs, and ambiguous parcels are flagged for a human.
Document processing for a legal operations group
A law firm's operations group can commission document processing automation for court dockets in its practice areas: filings collected on cadence, parties and case events extracted, and new activity pushed to the matter system by webhook. Attorneys get the event, not the PDF hunt.
Reconciliation for a lender's portfolio team
A lender's portfolio team can run a monthly reconciliation of its borrower book against public registries and UCC records, receiving a delta of status changes, new liens, and amendments. Eligibility use cases get compliance review at intake; the output is raw public data, not a consumer report.
Hyperautomation without the platform purchase
This is not a business process automation software license. It is a managed service: fixed-price, run by us, maintained when sources change. Contracts from $5,000 to $3 million; scoping is $500, credited.