We build pipelines that capture, clean and move your data automatically, so nobody retypes an invoice, a referral or a report ever again. Fewer errors, faster numbers, and a team freed up for the work that needs a human.
Why choose us
A pipeline processes record ten thousand the same way it processed record one. No transposed digits, no skipped rows, no Friday-afternoon mistakes.
Work that took a person all morning runs in minutes, around the clock. Your team gets the output without doing the typing.
Double the invoices does not have to mean double the admin staff. Pipelines absorb volumes that would swamp manual processing.
We deliver clean data straight into your ERP, CRM and reporting tools, so the numbers land where your people already look.
Who this is for
Automated data processing is not a product. It is the pipeline that gets data out of wherever it arrives, into a shape you can use, and into the system that needs it. These are the jobs it takes over.
Invoices, referrals, applications, delivery dockets, remittance advices. Someone opens each one and types the fields into a system. At volume this is the single most expensive habit most businesses have.
A person exports a CSV, cleans it, builds the same pivot table they built last week, and emails it around. The report is useful. The method is a single point of failure with a name and a leave balance.
Two lists that should match, compared manually, usually at month end and usually late. Machines are better at this than people, and they do not get tired at record four hundred.
Inconsistent formats, duplicate records, names spelled three ways, dates in two conventions. Cleaning is the unglamorous majority of most data work, and it is exactly the part that automates well.
What we build
Stage 1
Pull the data from wherever it lands. An inbox, an SFTP drop, an API, a scanned document, a form submission, a database. Each source has its own failure modes and we handle them at the edge rather than downstream.
Stage 2
Get structured fields out of unstructured input. For consistent layouts this is pattern matching. For documents that vary, this is where a model earns its place, and where a confidence score decides whether a human looks at it.
Stage 3
Check the data against the rules before it goes anywhere. Does the total match the lines. Is the ABN real. Is this a duplicate of something processed last Tuesday. Records that fail go to a person, with the reason attached.
Stage 4
Write the result into the system that needs it, handling the things that go wrong in the real world. The system is down, the record already exists, the API rate limit was hit. Retries and idempotency belong here.
Stage 5
Prove the pipeline did what it claimed. Counts in versus counts out, with exceptions listed. This is the step that gets skipped, and skipping it is how a silent failure runs for six weeks.
Stage 6
Every pipeline needs an exception path with a person on the end of it. The goal is not zero human involvement. The goal is that a human only sees the records that genuinely need judgement.
How it works
Here’s how we take you from manual data handling to automated pipelines, integrating 750+ other tools along the way.
Step 1
We trace where data enters your business, where it gets retyped, and where the errors come from. The double-handling map usually surprises people.
Step 2
We design the extraction, validation and delivery steps, and agree on what correct looks like before anything gets built.
Step 3
We build the pipeline and run it against your real, messy data until the edge cases are handled, not just the happy path.
Step 4
We deploy with monitoring and alerts, fix what the real world finds, and extend the pipeline as new data sources appear.
Honest advice
Twenty documents a month, each laid out differently, is a job for a person. The rules would take longer to maintain than the work takes to do.
If two departments define an active customer differently, a pipeline will just encode one of the definitions and start an argument. Settle the definition first. That is a management task, not a technical one.
Building extraction against a system you are replacing next quarter means paying twice. We would rather wait.
Systems we move data between
Case studies
When this Australian insurance tech startup hit technical roadblocks ingesting bom.gov.au weather data via FTP and .tar archives, we stepped in with advanced n8n automation expertise and hands-on team coaching. In weeks, we delivered production-ready workflows, optimised their data pipeline to Metabase, and upskilled their lean team.
A Melbourne-based medical practice, reduced manual data entry time by automating the processing of patient referrals received via email and Healthlink. Using n8n, OCR, and AI, patient data is extracted, formatted, deduplicated, and entered into Xestro and Zoho CRM.
A consulting arborist in South Australia faced a manual report generation process that involved extensive cutting and pasting from Fulcrum into Word documents for four report types. Osher Digital implemented an automated workflow using webhooks, dynamic templating, and AI-assisted drafting, reducing manual efforts by over 80% and enabling the client to handle more jobs at higher prices.
Improvements
Every number below comes from a real engagement. Each card links to the case study behind it.
$250k
Annual cost savings for a 35-person team
Read the case study
8,000+
Hours saved per year for a property client
Read the case study
80%
Reduction in manual data entry for a field services company
Read the case study
<1 min
To format and summarise a candidate resume
Read the case studyHow we measure: hours saved multiplied by loaded labour cost, agreed with the client after go-live.
“We were running quoting, scheduling and invoicing across multiple separate systems and various spreadsheets, and it had started to cost us time and money in double-handling. Osher Digital built us an AI-first custom ERP portal that now runs the whole job lifecycle in one place, Matthew was easy to deal with and stayed involved throughout the project. Recommend them.”
Robert Lowe
CEO at ACT Property Inspections
“We’ve worked a few AI agent and business automation projects, and it’s always been a smooth, productive experience. They’ve always brought a solid mix of technical expertise and creative problem-solving to the table.”
Yue Li
AI Automation Engineer
“The team helped us automate our lead acquisition and sales process so we know what works and what doesn’t.”
Nicola Hunter
Senior VP at Monarch Medical Technologies
“Osher Digital has really helped me automate the parts of my business that were critical to automate. My copy and paste days have been reduced by around 80%.”
Lawrence Mitchell
Consulting Arborist at LSM Tree Advice
“Great operators, efficient, intelligent and understood the technical requirements. Great to find a partner like this that I’ll continue to use in the future!”
Daniel Swanton
Director at emd:digital
“I contacted Osher Digital as a web developer with minimal experience in AI to explore the use of the Llama LLM in supporting user safety online. Matthew was polite, showed understanding of the situation and provided courtesy advice to improve the model which was much appreciated. Will deal with Osher Digital again.”
Terry Butler
Web Developer
“Highly recommended business automation and AI agent development experts”
Sarah Bryden
Related services
When the job is less about cleaning data and more about keeping two systems in agreement.
Learn moreFor extraction from documents that vary too much for rules alone to handle.
Learn moreA lot of these pipelines run on n8n. If yours already does and it keeps failing, start here.
Learn moreFAQs
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Read moreExplore our services
One system that runs your whole business, built around how you work. You own the code outright.
We design and build custom AI agents that automate complex tasks and enhance your business operations.
Expert guidance on implementing AI to transform your business operations and drive innovation.
Custom trained AI applications to help your business leverage your data in meaningful ways.
Repetitive manual tasks are highly suited to AI. Free up your time and reduce errors.
Custom integrations to hook together all of your systems so you have consistent, accurate data.
Book a free 15-minute call. Show us where data gets typed twice in your business and we'll show you how to make it flow on its own.
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