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.
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.
One of my ventures. I built its client-outreach CRM myself, vibe-coded on Lovable.dev, then extended it on Supabase and Resend.
SaaS · govtechAn Australian platform that pulls government tenders from federal, state and council portals and filters them to what a business can actually win. AI tender drafting on the way.
Launching shortly. Helps businesses of 50 to 200 people cut their carbon footprint and prove it.
Self-hosted environments for running AI agents safely and repeatably.
Agent-run company building, testing how far autonomous agents can take a venture.
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 and agent communications wired through Discord, so humans and agents work in one place.
Real voice conversations with agents, not text in a box.
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.
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.
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.
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.
Turn every meeting into a reliable, owned record, with actions that carry forward and a dashboard managers can actually see.
One consistent onboarding across every service line, faster, and nobody gets forgotten between the steps.
Recruiter-controlled AI that drafts and documents, keeps summaries to evidence, and never screens, ranks or decides on a candidate.
The training, playbooks and internal champions that turn a good design into a habit the whole firm actually adopts.
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.
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.
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.
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.
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.
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.
The call tells you whether it's worth doing. The assessment does it.
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.
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.
$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.
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.
Consent-based interviews to find the real workflows and where the time and risk actually sit.
A clear, scoped plan we both sign off, so there are no surprises and no scope creep.
The workflows, the prompts, the dashboards and the governance, built and handed over.
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.
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.