Document Intelligence Engine · Perth
If your product is a document, we build the production line.
Every business has documents it produces over and over. For some the document is the product itself: valuations, inspection reports, tenders, clinical notes, compliance packs. We build engines (the custom document engine behind everything on this page) that ingest your records into a structured model, remember everything, retrieve the right evidence, draft the document in your structure and voice, and fact-check every claim against the source. The same engine points at any repeated documenting task, and there are millions of them. Your people review and sign off, instead of starting from a blank page.
Start with a conversationWho this is for
Repeated document burden, or commercially unforgiving deadlines
The recurring-document business
Valuers, building inspectors, architects, engineers, lawyers, conveyancers, brokers, HR advisers, coaches and clinicians: businesses whose product is effectively a recurring document. The document burden is the growth ceiling, and it is exactly what the engine removes.
The deadline business
Tenders, panel applications, proposals and compliance responses, where response time is commercially sensitive and a missed requirement is disqualifying. Our tender engine is this system pointed at bids.
These are patterns, not categories. Board reports, grant applications, safety documentation, case summaries, handover notes, quarterly reviews: if your business writes the same kind of document more than once a month, it is a candidate. The examples on this page are simply where the engine already runs.
The architecture
Inputs, transformation, outputs
The architecture is the product. Three pillars, from your records to a document you can stand behind.
Inputs
Your conversations, site visits, transcripts, forms and files are parsed into a structured record you can see and correct.
Transformation
The record compounds: every job, session or bid adds to it, and nothing is retyped twice. When a document calls for evidence, the right material surfaces from the record, cited to where it came from, and the draft is assembled in your structure and your voice.
Outputs
Finished documents that reach you as your work, ready for your judgement: reports, letters, notes, bids, compliance packs. Every claim in the draft is fact-checked against the record it came from, and anything unsupported is flagged.
The aspiration
One architecture. Nine engines.
These are the engines we know are possible on this architecture. Some run in production today; the rest are ready to be built. Bring us the one your business needs, or bring us an idea that is not on the list.
| Engine | Inputs | Transformation | Outputs |
|---|---|---|---|
| Custom document engine | Records and files | Structure and synthesis | The document |
| Quoting & pricing engine | Job specs, costs, win-loss history | Margin, scope and price matching | Itemised quote, priced to win |
| Compliance engine | Client files, transaction records, ID documents | Risk screening and reporting logic | Report-ready file, audit trail |
| Listing & campaign engine | Photos, item details, your brand voice | Visual and market synthesis | Listing and campaign copy, every channel |
| Case management engine | Session notes, transcripts, referrals | Session-by-session synthesis | Case notes, progress reports, plans |
| Tender engine | Past bids, capability statements, the brief | Requirement matching | Draft response, every criterion |
| Inventory & maintenance engine | Stock levels, sales and service history | Demand and failure forecasting | Reorder alerts, service schedule |
| Cashflow engine | Invoices, payment history, seasonality | Payment risk and timing forecasts | 90-day forecast, who to chase |
| Scheduling engine | Job list, crew skills, availability | Demand and constraint matching | Run sheets, draft rosters |
Building 7 min read
What an AI quoting engine actually does
What it takes in, what it drafts, what the evidence says about accuracy and speed, and why the final price stays with a human.
Read the note →Building 7 min read
Your $2,000 day starts the night before
A scheduling engine on the tools: optimised routes overnight, automatic customer notifications, and promises the system keeps or corrects.
Read the note →Proof
The same engine runs in production today
This is the pattern behind our own products. ClientJourney parses clinical records into a structured schema and generates a practice's documentation from them, fact-checked against the records with citations; it is projected to cut a psychologist's documentation burden from around fifteen hours a week to around two. ConfideAI runs the same discipline inside hardware-secured enclaves for regulated clinical work.
The verification layer is not theoretical either: in one production pipeline, the fact-check pass caught five errors a human review had missed. And the approach moves fast when it needs to: complete compliance document packs built on this pattern have been delivered in as little as three days.
Two ways to build
Start with a brain, grow into an engine
You do not have to commit to a full build to get value from this. If the full engine is more than you need right now, start with a brain: we pull together the knowledge scattered across your systems, identify your best examples, extract what matters from them, and index it into an AI-ready knowledge base. It works with whatever AI systems you already run, and it's the same foundation the full engine builds on when you're ready.
Start with a brain
We structure your records and evidence into a local brain and coach you to run your own AI on it, in standing monthly working sessions. Cost-effective, you own it, month to month with no lock-in. Many businesses find this is all they need.
Grow into an engine
When you want the production line automated, we build the full engine: structured capture, memory, retrieval, documentation and verification, running as a system. The brain you built first becomes its foundation.
Step one is never throwaway. The brain you build by hand is the exact structure the engine is built on, so you only ever pay to go forward, never to start again. Current prices for every path are on the pricing page.
From our thinking
The methodology behind the engine
How we build systems that produce work you can stand behind.
Questions
Common questions
How much does a document intelligence engine cost?
It starts with an audit that maps your document workflow and tells you which path fits. The cost-effective path is a coached brain, an AI Working Sessions engagement where we structure your records and get you running your own AI on them, month to month with no lock-in. The full engine is a custom build, scoped to the volume and complexity of your documents. The brain you build first becomes the foundation of the engine, so step one is never wasted. Current prices for every path are published on our pricing page.
What kinds of documents can it produce?
Any recurring document drafted from your own records: valuation and inspection reports, tender and proposal responses, clinical and coaching notes, referral letters, file notes, compliance packs and management reports. If your business produces the same kind of document again and again, it is a candidate.
Does the AI write the documents for us?
It drafts them from your own records and evidence, fact-checks every claim, and flags anything unsupported. Your people review, edit and sign off. The engine removes the blank page and the assembly, not the judgement. You stay the author and the document stays yours.
How is this different from using ChatGPT?
A chat tool forgets everything between sessions and invents what it does not know. The engine is built on structured memory: your records, parsed into a model you can see, compounding over time, with every generated claim checked back against them. The model is the commodity; the structured record and the verification around it are the asset.
Is our material kept confidential?
Yes, by architecture rather than policy. Identifying details are masked before content reaches a model, records are encrypted under keys only you hold, and for regulated work the AI can run inside hardware-secured enclaves with cryptographic attestation. Commercially sensitive material does not leave your control.
Has this actually been built, or is it a concept?
The same pattern runs in production today: our clinical system parses records into a structured schema, generates documents, and verifies each against the records with citations. The verification layer caught five errors a human review had missed in one production pipeline. Compliance document packs built this way have been delivered in as little as three days.
Bring us the document you dread
Show us the report, bid or pack that eats your week and we will show you what the engine would do with it. The prototype runs on your real documents, not a demo. No pitch, no pressure.
Start with a conversation