How we help · Deploy and embed AI

One workflow, designed properly and built into production.

You bring a piece of work your firm does over and over. We design the workflow against how that work is really done, connect it to your documents and systems, build it, test it on real work, and hand it to the people who own it. One fixed fee covers the design and the build.

01 / At a glance
Who it's for
Financial and professional services firms with a repeatable piece of work, a named owner for it, and someone senior enough to sponsor the change. You have usually tried the tools yourself and know there is something in it.
What improves
The mechanical part of the work gets done before your people sit down, the judgement stays with them, and every run leaves a record of what was done and who checked it.
What you get
The agreed design, the working workflow on your systems, its connectors, its controls model, trained owners, and documentation and handover written for your firm. Every run also leaves a record of what was done, the sources it relied on and who approved it. Add our optional AI Process Assurance platform and that record is retained as exportable AI Workpapers.
What you bring
The workflow owner's time in design and testing, a risk or security sign-off on access and controls, a sponsor, and your own platform licences (Claude, Copilot or ChatGPT).
Timing and cost
Fixed fee in NZD plus GST, quoted in writing after a free introductory conversation. The shape of the workflow sets both the fee and the timeline; the accounting build, our most defined, runs six weeks.
Afterwards
Handover and the support that follows go-live are in the scope. Ongoing operations and further workflows are a separate agreement.
02 / A representative engagement

A commercial renewal, from first conversation to handover.

A brokerage wants renewal notes prepared from the expiring schedule, the claims history and the client's updates, so the broker reviews rather than assembles. The stages below are the same for every workflow; the details are this one's.

Illustrative example

Design

The workflow mapped as it is really done.

Time with the brokers who do renewals, not the process document. Which documents arrive and from where, what the broker checks first, which cases go to a senior broker and why. The controls model is written here: what the AI may read, what it may draft, and the three conditions under which a renewal is held for a person. You sign the design off before anything is built.

Build

Connected to the systems the work lives in.

The broking system and the document store are connected through connectors scoped to renewals only. The workflow prepares the renewal note from the schedule, the claims history and the client's answers, cites the source for every figure, and writes the AI Workpaper as it goes. Nothing is sent to a client or an insurer by the workflow.

Test

Run on last quarter's renewals before anyone relies on it.

An evaluation set agreed with the workflow owner: closed renewals with known outcomes. The output is compared with what the brokers actually produced, the misses are fixed, and the holds are checked to fire on the cases that should stop.

Accept

Acceptance against the criteria in the scope.

The scope named them at the start: the note prepared for the agreed renewal types, sources cited, the hold conditions firing, the workpaper readable by the compliance manager. Acceptance is a comparison against that list, not a judgement call on the day.

Hand over

The brokers running it, with documentation written for them.

The team is trained on the workflow and on what to check. The documentation describes how it works in the brokerage's own terms, who owns which control, and what to do when it holds a case. The engagement ends with the owner running it, not with a demonstration.

Support

What follows go-live is in the scope.

The scope says who to call, for how long, and what counts as a fix rather than new work. If the brokerage wants the workflow watched and improved beyond that, or a second workflow built, that is agreed separately.

03 / What we build

Workflow software with the model at the centre.

Not a chatbot. The model does the reading, comparing and drafting; the platform around it records where each case has reached, keeps the evidence, and pauses the work where a person has to decide. Your people keep working inside the assistant they already use, and make the calls that need professional judgement.

  • Workflows with explicit state and handoffs, so a run can be held, resumed and reviewed
  • MCP servers and custom tools for the systems the work lives in
  • Document ingestion, parsing and analysis, with every figure cited to its source
  • Human approval points and review queues, set per decision rather than per workflow
  • Audit logs and the record of what ran, kept as AI Workpapers where the optional Assurance platform is in place
  • Permission-aware access: the workflow sees what the user is allowed to see
  • An evaluation set agreed with the workflow owner, so quality is measured before handover rather than assumed. Ongoing monitoring is a separate agreement
05 / How we work

An implementation discipline, not a demo.

01

Scope tightly.

One workflow at production quality beats five demos that never ship. The first workflow is chosen on evidence from the first conversation, not from an open whiteboard.

02

Build around existing systems.

Document repositories, CRMs and core platforms stay the systems of record. The assistant becomes the interface to them.

03

Design governance from day one.

Who must approve what is decided in design, and those checks are tested before go-live. Governance is not a phase that follows the build.

04

Avoid unnecessary new UI.

Where the assistant itself can be the workbench, we let it. Custom screens only where they earn their place.

05

End with your people running it.

The technology is the easy part. An implementation sticks when the owner can run the workflow and the reviewer knows what to check.

06 / How we start

One conversation, then a written scope.

01 · Discuss
Discuss the opportunityFree · introductory

Where AI could make the biggest difference, how that work runs today, the systems it touches and who owns it. We also work out together whether Airclerk is the right partner for it. If we are, the conversation gives us enough to quote.

02 · Agree
Agree the scopeWritten proposal · fixed fee

One document: the outcome we are aiming for, what we deliver, what your team contributes, the fixed fee and timeline, and what acceptance looks like. Nothing starts until it is agreed on both sides.

03 · Build
Design and buildDetailed design first

The engagement opens with the detailed design, agreed with you before anything is built. Then we configure and connect the workflow to your documents and systems, build in the agreed review controls and audit trail, test it on real work, and prepare the people who will run it.

04 · Support
Support and improveHandover · ongoing by agreement

Handover, and the support that follows go-live, are written into the scope so you know what is covered before you sign. Ongoing operations and further workflows are a separate agreement, made when you want them rather than switched on by default.

Read how an engagement runs in detail →

Start here

Discuss the workflow you have in mind.

A free introductory conversation is enough to know whether it is a first workflow and what it would cost to build.

Talk to us →
07 / Common questions

Common questions.

01What does a workflow implementation engagement deliver?

The agreed detailed design; the workflow working on your real documents and systems; the connectors it needs; a governance and controls model for that workflow; the run record the controls model calls for; the people who own it trained and running it; and documentation and handover written for your firm. Testing, acceptance and the support that follows go-live are set out in the scope.

02How is the workflow tested and accepted?

It is tested on real work before anyone relies on it: past periods, closed matters or de-identified files, with an evaluation set agreed with the workflow owner. Acceptance criteria are written into the scope, so acceptance is a comparison against them rather than a judgement call on the day.

03What do we have to contribute?

The person who owns the workflow day to day, with time in the design phase and at testing; someone from risk or security to sign off the controls model and access; a sponsor; and access to the documents and systems the workflow needs, under your own platform licences.

04What affects the timing and the fee?

The shape of the workflow: how many systems it touches, whether connectors exist or have to be built, how many decision points need a person, and how much of the work is judgement rather than mechanics. A document-only workflow and one that crosses several systems are different builds. The fee is fixed in NZD plus GST and quoted in writing after the first conversation; platform licences and usage are separate.

05What happens after handover?

The support that follows go-live is written into the scope, so you know what is covered before you sign. Ongoing monitoring, improvement and further workflows are a separate agreement, not switched on by default.