Industries
Industries we serve
We work in sectors where a few people carry a lot of repeated admin and the systems already in place are worth connecting to. Each page covers where the hours go, what we typically build and the software we usually meet.
Financial services
Finance
AI for finance teams and CFOs
An in-house finance team closes the books every month on top of the daily work. Accounts payable keys and codes supplier invoices and answers supplier statement queries.
- Month-end close
- Supplier invoices
- Customer payments
Banking
AI consulting for banks and lenders
Banking runs on documents that have to be right. Credit assessors read payslips, bank statements and valuations for every loan application.
- Credit files
- AML alerts
- Regulatory reporting
Insurance
AI consulting for insurers and brokers
Insurance runs on documents and deadlines. Claims arrive by email, phone and portal with photos, invoices and reports attached, and a person sorts each one before an assessor reads it.
- Claims intake
- Claims correspondence
- Submissions and wordings
Real estate
AI consulting for real estate and property finance
Property lending runs on files. A broker collects payslips, bank statements and tax returns and keys them into a lender's application.
- Loan applications
- Credit papers
- Covenant reporting
Accounting
AI consulting for accounting firms
An accounting practice runs on documents that clients send late and in every format. Staff chase bank statements, receipts and loan papers, code them into Xero or MYOB, and rebuild the same workpapers from last year's file.
- Client document collection
- Coding and reconciliation
- BAS and tax workpapers
Audit
AI consulting for audit firms
An audit file is built from documents that the client sends in every format. Staff request invoices, contracts, bank confirmations and minutes and match each one to a sample item by hand.
- Evidence requests
- Sample testing
- Journal testing
Asset and wealth management
AI consulting for wealth managers and super funds
Wealth management runs on documents written for one client at a time. Paraplanners build each Statement of Advice from a fact find, platform data and product research.
- Statements of Advice
- Fee consents
- Client and member reporting
Payments and fintech
AI consulting for payments and fintech
Payments and fintech businesses carry a compliance workload that grows with every customer. Analysts collect identity documents, company extracts and beneficial owner details by hand before an account opens.
- Customer and merchant onboarding
- Transaction monitoring alerts
- Disputes and chargebacks
Construction and industrial
Construction
AI consulting for construction companies
Construction businesses do not have a technology problem. They have an hours problem.
- Estimating and tendering
- Progress claims and variations
- Supplier invoices
Trades
AI consulting for trade businesses
Trade businesses lose jobs on the quote and lose margin on the admin. The quote takes four days because the owner does it at night.
- Quoting
- Scheduling and dispatch
- Job sheets to invoices
Logistics
AI consulting for logistics and freight companies
Logistics runs on documents that nobody wants to touch. Orders arrive as emailed PDFs and get keyed into the WMS.
- Order entry
- PODs and consignment documents
- Carrier and supplier invoices
Manufacturing
AI consulting for manufacturers
Manufacturers carry more repeated admin than almost any other sector. Custom quotes priced by hand from drawings.
- Custom quoting
- Production planning
- Quality and compliance records
Wholesale
AI consulting for wholesalers and distributors
Wholesale margins are thin and the admin is heavy. Orders come in by email, phone and PDF and get keyed by hand.
- Order entry
- Pricing and quoting
- Supplier invoices and landed cost
How it works
- 01
Discovery
An intro call on your objectives and goals, then we sit with your team to learn the business and how the work runs today. We agree the decision the system supports and the one metric that says it works.
- 02
Ground the data
We find where the data lives, who owns it and whether it reconciles, and plan where the data and the model will sit.
- 03
Prototype and evaluate
We build on your real data and score the output against an evaluation set from your own past cases before it carries load.
- 04
Integrate
It goes into the workflow and your systems of record, with review points where an error costs money, monitoring and an audit trail.
- 05
Operate and hand over
We run it with your team, then hand over the code, the evaluation suite, runbooks and training. It is not finished until you are satisfied.
Next step
We map where your hours go and price the work that is worth automating.