Services · AI Workflows

AI inside the real work, a human on every call.

For the work that needs judgement. We put AI inside real processes, reading, drafting, triaging and summarising the messy, unstructured work, with a person reviewing every output and a measurable result at the end.

Human-reviewed AIDocument workflowsOperational copilots

Where AI projects go wrong

A demo is not a workflow.

AI is genuinely useful on work that needs judgement: reading unstructured documents, drafting a first pass, triaging a backlog. It's also where most AI projects go wrong, with a demo that impresses once and then produces work nobody can trust. We build it into the real workflow, keep a person on the result, and measure whether it actually helped before scaling it.

How we map the work first

Principles

How we keep AI honest.

Grounded & checkable

Clear inputs, cited sources and outputs you can trace back to where they came from, so a reviewer can verify, not just trust.

Measured against a baseline

We pilot on one real workflow and prove it’s faster or better against how things work today, before anyone commits to scaling it.

Inside the real workflow

Embedded in the actual process people use, not a clever chatbot bolted on the side that nobody opens after week two.

How an AI sprint runs

From unstructured work to a reviewed result.

Start with one workflow, prove it against how the work is done today, then scale what works.

Find the work

We look for judgement-heavy, high-volume work where AI genuinely helps, and rule out the places it shouldn’t go near.

Use case & scope

Design with review

We define the inputs, the expected output and exactly where the human checkpoint sits, plus how we’ll measure quality.

Workflow & guardrails

Build & pilot

We build it into one real workflow and run it on real work from day one, collecting reviewer feedback as we go.

Working pilot

Measure & embed

We compare against the baseline, prove the gain, then roll out with quality monitoring in place.

Measured & in use

What this covers

Where AI earns its place.

Document & text processing

Read, extract and structure the information buried in messy documents, emails and PDFs, turning unstructured text into data a system can use.

ExtractionStructuring

Drafting & summarising

First drafts, summaries and replies generated from the source material, for a person to edit, approve or reject, never to send blind.

DraftsSummaries

Triage & classification

Route, prioritise and tag high volumes of incoming work, so the right items reach the right person first, with the reasons attached.

RoutingPrioritising

Human-in-the-loop review

The review surface itself, where a person sees the AI’s output and its sources, then corrects, approves or overrides before anything is final.

Review UIOversight

Proof

AI doing real work, under human control.

View all case studies

policy-loom

GovernmentAI workflow

Policy Loom

Reads regulatory guidance against Victorian legislation and flags, with the source provisions, where guidance and law have drifted apart.

AI workflowsData products

Grounded in source lawView case study

inclusively-made

Professional servicesAI workflow

Inclusively Made

A structured document and proposal workflow that helps a specialist team move faster without losing expert review.

AI-assistedWorkflowReview

Human-reviewedView case study