QuantAI · Fractional AI operations · Melbourne

Redesign how your business actually works with AI.

I help professional services firms get the admin out of their week without handing over the decisions that carry risk. I find the workflows worth changing, design the AI into them, and stay until the team's actually using it.

I'm Dave Richardson. I build AI products and agent tooling myself, every day, then help firms put the same thinking to work.
What I actually build

I build with this every day. That's the whole qualification.

Before I redesign how your firm uses AI, it probably helps to know I live in this stuff. Here's what I've built and run myself, from shipped products to the agent tooling behind them.

Products and ventures
Tools and agent infrastructure
Agent environments

Openclaw

Self-hosted environments for running AI agents safely and repeatably.

Autonomous agents

Paperclip

Agent-run company building, testing how far autonomous agents can take a venture.

PM & PA

Hermes

My command centre. I run Hermes as the hub connecting all my projects (Openclaw, Paperclip and Claude), and as a PA across my calendar and inbox.

Team & agent comms

Discord tooling

Team and agent communications wired through Discord, so humans and agents work in one place.

Voice

Voice interfaces

Real voice conversations with agents, not text in a box.

Web app

AI Job Description Assistant

A web app that sharpens job ads and flags issues as you write, with the AI kept on a leash.

These are my own projects. Some are businesses, some are the plumbing behind them. I'm using this every day, which is a different thing to reading about it.

What I help firms with

Practical AI, put where it actually pays.

I work with professional services firms: accounting, advice, recruitment, engineering, consulting. The work's always the same shape. Find the workflows worth changing, design the AI into them, make it stick, and keep a person owning the decisions.

AI Workflow Audit

Find the handful of workflows where AI genuinely pays off, and the ones it shouldn't go near. A clear, scored plan, not a wish list.

AI Operating Systems

The standards, configured tools and governance that make good AI use the default across a firm, instead of a lottery based on who you ask.

Meeting Intelligence

Turn every meeting into a reliable, owned record, with actions that carry forward and a dashboard managers can actually see.

Client Onboarding

One consistent onboarding across every service line, faster, and nobody gets forgotten between the steps.

Recruitment AI

Recruiter-controlled AI that drafts and documents, keeps summaries to evidence, and never screens, ranks or decides on a candidate.

Enablement & Champions

The training, playbooks and internal champions that turn a good design into a habit the whole firm actually adopts.

Worked examples

Five engagements, built end to end.

Every engagement here ships the working system, not a slide deck. Three include a live, clickable tool you can drive yourself, the rest ship configured assistants and playbooks, and three have a Loom walkthrough below where I talk you through the work myself. Each is built end to end around a representative client scenario, so you can judge the method and the standard of the work before we ever speak. The governance line in each one (human review, no regulated advice from AI, professional accountability kept human) is real and deliberate. What you see is what you'd get.

Loom walkthrough · 9 min
Meeting intelligence

NorthStar, turning 120 meetings a week into one accountable memory

A five-type meeting taxonomy, an assistant that turns a transcript into an owned record and never invents an action owner, and a live dashboard where managers finally see overdue and carried-forward work by team.

Elevate onboarding tracker
Client onboarding

Elevate, one warm, standard onboarding across three service lines

An onboarding assistant plus a live tracker that flags a stall at day 10 and switches the next step to a personal call, not another automated email. 75% less admin, and the relationship stays personal.

Vertex engineering AI operating model case study
AI operating model

Vertex, three under-used AI platforms turned into one governed model

A firm-wide operating model with a signature "which AI for which task" framework, now a clickable tool your team can actually use, and an engineering assurance line where AI drafts the words around a report but never performs, checks, verifies or certifies the engineering.

Loom walkthrough · 9 min
Recruitment AI

FutureHire, recruiter-controlled AI, with fairness built in

Three workflows where AI drafts and a recruiter decides, with a fairness guard that keeps interview summaries to job-relevant evidence and never lets AI screen, rank or select a candidate.

Loom walkthrough · 11 min
AI operating system

BrightPath, ad-hoc AI turned into a governed operating system

A four-layer operating system for a financial-advice firm, proven on two pilots, with an unavoidable human-review gate and the best-interests duty kept front and centre. AI never issues advice.

Where to start

Two steps, and the first one's free.

The call tells you whether it's worth doing. The assessment does it.

Step 1 · Free · 15 minutes

A quick call ↗

You tell me what's eating the week. I ask three questions, then tell you straight whether there's anything worth doing and what the next step would cost. No advice, no plan, nothing to sign.

Step 2 · $995 fixed

The assessment

Where the work happens. I map how the work actually runs with whoever does it, write up what's worth changing, and build the first one. You finish with at least one thing built and running, or you don't pay.

What the assessment gets you
  1. The first automation built and running in your business, so you see one thing working instead of reading about seven.
  2. A written assessment: the workflows worth changing, the ones I'd leave alone, and what each one is costing you now.
  3. To get there, a 45 minute working session with you or whoever actually runs the work. Recorded, so nothing gets lost.
  4. Half an hour to walk through it and decide what happens next.

$995

Fixed. Nothing hourly.

You'll finish with at least one thing built and running in your business. If I can't do that, you don't pay.

Rather not talk yet? The 6-minute AI check is the same first step without the call. Twenty six quick questions, mostly one tap, and it shows you where the week goes and what the repeat work is costing you before you spend anything on AI.

Running an agency? I do the same work white-labelled, quoted to you and sold under your own name. Say so when you get in touch.

How I work

Interviews, a clear brief, delivery, then enablement.

No big-bang transformation, no shelfware. I start by understanding how the work really happens, agree exactly what we're changing, build it, and then make sure the team actually uses it.

01

Understand

Consent-based interviews to find the real workflows and where the time and risk actually sit.

02

Agree the brief

A clear, scoped plan we both sign off, so there are no surprises and no scope creep.

03

Deliver

The workflows, the prompts, the dashboards and the governance, built and handed over.

04

Enable

Playbooks, training and internal champions, so it becomes how the firm works, not a pilot that fades.

There's a short one-pager on how I work here, and everything above is open on GitHub.

Let's find the workflows worth changing.

If your business is using AI in bits and pieces and you want it to add up to something, start with a free 15-minute call. I'll tell you straight whether there's anything worth doing.