Deep vertical AI agents that do real back-office work.
Not a chatbot bolted onto a website. Agents that hold a checklist, read a bundle of documents, watch a system of record and draft the work a person then approves, built for one industry's actual process at a time.
- Match the pattern
- Configure to the vertical
- Integrate your systems
- A person approves
- Run, measure, tune
Why a factory
Bespoke agents don't survive their own economics.
Across the industries we have mapped, almost every agent worth building turns out to be a variation on a small number of shapes. Rebuilding each one from first principles per client means paying for the hard engineering of guardrails, evaluation, audit logging and failure handling over and over, on budgets that were never going to carry it. So we build the shape once and harden it properly. What a client engagement then buys is the integration and the domain detail, not a fresh invention of the safety rails.
The building blocks
Five patterns, hardened once.
Every agent we build is assembled from these. Naming them is not an abstraction exercise. It is why a small engagement can still ship with evaluation, approval gates and audit logging attached.
Document intelligence
Ingest, classify, extract and validate whatever actually arrives (contracts, statements, applications, correspondence, photographs of paperwork) into structured output with the exceptions flagged rather than buried.
Monitor, draft, approve
Watch a system of record for a trigger, draft the personalised communication it warrants, and hold it in an approval queue until a person decides to send it.
Conversational enquiry
Answer the repetitive majority of inbound questions from a grounded knowledge base across web, email and SMS. Capture, book or escalate rather than improvise an answer.
Compliance mapper
Read a regulatory corpus alongside the organisation's own documents and produce a cited gap analysis, so every finding can be traced to the clause and the page it came from.
Chase and checklist orchestrator
Hold the outstanding-items list for every job, request what is missing, verify what arrives against what was asked for, follow up on a cadence, and escalate anything threatening a date.
Worked examples
What this looks like in a real back office.
Each of these is one pattern, configured for one industry's process and wired into the systems that industry already runs. We deliberately build around the categories that are already well served. We are not pitching another AI scribe or another serviceability calculator.
Buyers agents
Due diligence pack agent
Patterns A + D
- What fires it
- An address is added to a client's shortlist.
- What it does
- Assembles comparable sales, zoning and overlay flags, days on market and suburb movement into the agency's own report template, with a red-flag checklist on the front page.
- What changes
- A half-day analyst job becomes a fifteen-minute review. That is the difference between capping active briefs and scaling them.
Medical clinics
Recall and follow-up agent
Pattern B
- What fires it
- The practice management system shows a care plan review, chronic disease check or vaccination falling due.
- What it does
- Runs a personalised multi-touch reminder sequence with a booking link, then escalates only the non-responders to reception.
- What changes
- Recalls stop depending on whoever has a spare afternoon, and reception spends its time on the patients who actually need a human.
Tax agents and accounting firms
Client document chase agent
Pattern E
- What fires it
- A job is opened for a client at the start of a lodgement cycle.
- What it does
- Generates the per-client request checklist, sends it, follows up on a cadence, checks what has arrived against what was asked for, and notifies the accountant only when the file is genuinely complete.
- What changes
- Peak season runs without a single “just following up” email, and seniors open files that are ready to be worked rather than half-assembled.
Conveyancers and property lawyers
Contract review assistant
Pattern A
- What fires it
- A contract of sale and vendor statement land on a matter.
- What it does
- Produces a structured summary in the firm's own template (special conditions, easements, outgoings, key dates and red flags) with every point traced back to the clause it came from.
- What changes
- The practitioner reviews a two-page brief instead of skim-reading a ninety-page bundle. The legal judgement stays entirely with them.
Childcare and early learning
Enquiry-to-tour agent
Pattern C
- What fires it
- An enquiry arrives by web form, email or missed call.
- What it does
- Replies within minutes with fee, availability and subsidy basics, offers tour times, and keeps nurturing the waitlist until a place opens.
- What changes
- The centre that answers first usually wins the family, and answering first stops depending on whether the director was in a room with children.
Aged care providers
Compliance evidence agent
Pattern D
- What fires it
- A policy changes, a standard is updated, or an audit is scheduled.
- What it does
- Maps existing policies and procedures against the current Quality Standards, flags exactly where evidence is missing, drafts updated language for review, and keeps the evidence register current.
- What changes
- Audit readiness becomes a continuous background process instead of a months-long scramble ahead of the date.
How every agent is built
The parts we refuse to skip.
A person in the loop, by default
Every agent has an approval surface. Anything carrying financial, legal, clinical or reputational weight is drafted for a person rather than sent by one.
Privacy-first by construction
Zero-data-retention model arrangements where the provider supports them, Australian hosting for regulated data, and sensitive identifiers redacted at ingestion rather than trusted to stay unseen.
Audit logging as an output, not an add-on
Every automated decision is recorded with its inputs and its reasoning, because “the system did it” has never been an acceptable answer to a regulator or a client.
Evaluated, not vibe-checked
Each pattern ships with a labelled test set, so quality is a number that can be tracked across releases rather than an impression formed during the demo.
Inside the system of record
Agents read from and write to the platforms a business already runs. Where a vendor offers no API, we work file-first rather than pretending screen-level automation is stable.
Configuration, not a rebuild
A new engagement inherits a pattern that has already been hardened. Your budget pays for integration and domain detail, not for reinventing the guardrails.
Best suited to businesses where one repeatable, document-heavy or communication-heavy process is quietly capping how much work the team can take on, and where the honest answer was never more headcount, but a bespoke build could never be justified either.
Got an inefficient process?
Describe the one that eats your team's week. If it maps to a pattern we've already hardened, we'll show you what your version would look like, and tell you if it doesn't.