Every industry has the same three problems.
Work done by hand that should not be. Data that exists but cannot be used. Systems that cost too much and fall over. Only the vocabulary changes.
Six sectors we have already shipped in, what we hear on the first call in each, and what usually gets built.
Payments and fintech
Correctness is not negotiable
“Month-end reconciliation takes four analysts three days, and we still find breaks the following week.”
What is actually broken
- Ledger data lives in three systems that quietly disagree.
- Every exception is resolved by a person reading a screen.
- Nobody can show an auditor why a given decision was made.
What gets built
Reconciliation and exception routing
Matching runs on a schedule. Only genuine breaks reach a person, with the reason attached.
Fraud and anomaly detection
Scored in flight, with the contributing signals recorded rather than hidden in a model.
Ledger and regulatory reporting
The same numbers every time, produced on a schedule instead of assembled by hand.
Onboarding document intelligence
Identity and business documents read and checked in minutes, with a human step where it matters.
Marketplaces and commerce
A point of conversion is real money
“Search returns the wrong things and we have no idea what it is costing us.”
What is actually broken
- Catalogue quality decays faster than anyone can fix it by hand.
- Demand signals arrive too late in the week to act on.
- Every experiment takes a quarter to ship, so few get run.
What gets built
Search relevance and recommendations
Ranking you can inspect and tune, measured against the behaviour you already collect.
Demand and inventory forecasting
Per SKU and per region, with the error tracked openly rather than quoted once at launch.
Catalogue enrichment and de-duplication
Attributes extracted and normalised, duplicates merged, at a volume nobody could staff.
Seller and listing automation
The repetitive parts of onboarding and moderation handled, with edge cases escalated.
Healthcare and life sciences
Traceability before speed
“The data exists. It is in PDFs, in a vendor portal, and in somebody's spreadsheet.”
What is actually broken
- Records arrive as scans, faxes and exports rather than as data.
- Every integration is bespoke and nobody owns the last one.
- Nothing ships without an audit trail, so nothing ships.
What gets built
Clinical document and records extraction
Structured fields out of unstructured sources, with confidence surfaced and review built in.
Imaging and signal models
Trained and evaluated against the measure that matters clinically, not against accuracy alone.
Trial and registry pipelines
Data moved, validated and versioned, so a result can be reproduced a year later.
Evaluation harnesses and review steps
The part that makes a model defensible. Built in week three, not bolted on afterwards.
Asset and investment management
Late, incomplete, forty formats
“Producing the quarterly pack takes two weeks and most of it is copy and paste.”
What is actually broken
- Data arrives late, incomplete, and in a different shape each time.
- Research sits trapped in documents nobody can query.
- Risk is computed in a spreadsheet that one person understands.
What gets built
Reporting and pack automation
The assembly, the checks and the formatting, run on a schedule with the numbers traceable to source.
Portfolio and risk analytics
Out of the spreadsheet and into something versioned, tested and reproducible.
Research document intelligence
Filings, memos and notes made searchable and answerable in plain language.
Data quality and lineage
Knowing which number came from where, and being told when one stops arriving.
Manufacturing and industrials
Still run out of email
“Purchase orders arrive as PDFs by email and somebody types them into the ERP.”
What is actually broken
- Planning runs on spreadsheets that were never meant to be load bearing.
- Sensor data is collected diligently and then never used.
- The ERP is twenty years old and nobody is allowed to touch it.
What gets built
Order and invoice processing
Documents read, validated and pushed into the system of record, with exceptions queued for a human.
Demand and inventory forecasting
Built on the history you already have, and honest about how far ahead it is useful.
Plant and sensor pipelines
Turning collected telemetry into something that triggers an action rather than filling a disk.
Integrations around the ERP
Working alongside the system nobody will replace, instead of proposing to replace it.
Software and digital products
Ship it without hiring a team
“We want an AI feature in the product but we do not want to hire a team to own it.”
What is actually broken
- The prototype works and production does not.
- The cloud bill grows faster than revenue does.
- The data model was designed for a much smaller company.
What gets built
AI features inside your product
Shipped behind a flag, evaluated on your data, costed at the volume you actually expect.
Data platform and analytics
One place the numbers come from, and dashboards somebody opens more than once.
Cloud cost reduction
Measured before and after. The bill is the deliverable, not the architecture diagram.
Scaling and reliability
Finding what breaks first, fixing it, and leaving you the runbook for the next time.
The same job, six vocabularies.
Read across a row. It is one piece of work each time, described by four different industries in four different languages. That is why a sector we have not listed is rarely a problem.
Automation and AI
Reading the things nobody wants to read.
Manufacturing
Purchase orders out of email and into the ERP
Payments
Onboarding documents checked at submission
Healthcare
Clinical records lifted out of scans
Asset management
Filings and memos turned into answers
Data and ML
Predicting the number somebody currently guesses.
Commerce
Demand per product, per region, per week
Payments
Which transactions are worth stopping
Manufacturing
What to hold and what to reorder
Software
Which accounts are about to leave
Cloud and software
Making the thing that works survive being used.
Software
A bill that stops outgrowing revenue
Manufacturing
Integrations around an ERP nobody will replace
Healthcare
Pipelines a result can be reproduced from
Asset management
Risk out of a spreadsheet and into something tested
Your sector is not on this list.
That is almost never the blocker. The work above is six vocabularies laid over the same three problems, and the fastest way to find out whether yours fits is to describe it in three sentences.
Describe your workflow