Most businesses buy AI tools. We change how the work gets done.
We help mid-sized businesses rebuild everyday work around AI, on the systems you already use. Working systems in weeks, then we run and improve them with you.
Week 1
Working dashboard on live data for an engineering firm, before the discovery report was written.
8 weeks
From first discovery session to an agreed, firm-wide AI programme at a project management firm.
Minutes
For a building consultancy to turn an enquiry into a fee proposal and a new job, inside Teams and email.
Clients we work with
- Neurozone
Try it
Where does your work get stuck?
Each dot is a job moving through a business. Give a desk some AI help and watch what happens to the queue.
Pick a business
- ✓Watch the jobs pile up
- 2Tap the stuck desk to give it AI help
- 3See where they pile up next
The fee proposals desk is the slow one. Every enquiry stacks up waiting for it, and some clients won't wait.
Days to get paid
...
Jobs done a month
16
Staff hours saved a month
0
Jobs lost to slow replies
0
A simple model with made-up numbers. We work out your real ones in a discovery call.
One tool fixes one desk. We fix the whole process.
How it works
Start small. Prove it. Then scale.
Three steps. You can stop after any of them. Every project is priced on its size and complexity, and you know the cost before we start.
- 01
Discover
4 to 6 weeks
We talk to your people, map how work really flows, and show you where AI changes the numbers. You get a working prototype on your own data in week one, and a plan with costs at the end.
- 02
Build
Weeks, not months
Agents, integrations and dashboards built on the systems you already pay for: Microsoft 365, HubSpot, Xero and your industry software. Your team learns to build the simpler ones themselves.
- 03
Run and improve
Ongoing
We host, monitor and improve what we build, keep the running costs in check, and give you a CIO in the room for the decisions that follow.
Work we have done
Different businesses. Same problem.
Good people stuck doing work a system should do.
Project management
From a CRM sync to a firm-wide AI programme
Live project data flowing between Uniphi and HubSpot, a client dashboard, then a discovery that turned into an agreed AI programme across three offices.
Engineering
A dashboard in week one, then a CIO on call
Eleven interviews across the business, a working dashboard on SharePoint and project data in the first week, and an ongoing technology partner.
Building consultancy
Fee proposals and new jobs, done by an agent
Enquiries arrive in Teams and email; an agent drafts the fee proposal, creates the job and files it where it belongs.
Read the case studyHealth
Dictation to letters, referrals filed
Specialist dictations typed onto the practice letterhead and referrals sorted automatically, checked by the team before anything goes out.
Why businesses choose us
Senior people. Working systems.
Senior-led
Every engagement is led by people who have run technology inside businesses like yours, backed by our engineers and specialist partners.
Built on what you own
Microsoft 365, HubSpot, Xero and your industry systems. No rip and replace, no new platform to learn.
Working in weeks
A prototype on your own data in the first week, so you can see the value before you commit to more.
We stay and run it
Hosted in Australia, monitored, supported and improved, with the running costs reported to you every month.
“Tom challenged our assumptions and gave us a roadmap we could actually execute. The conversations alone changed how our exec team thinks about technology.”
“The roundtable was the most useful two hours I’ve spent on AI all year. Practical, no buzzwords, immediately actionable.”
From the blog
What we are seeing
AI
Outcome = time x knowledge. AI is collapsing both. Here is where value goes in AEC.
Moving from billable hours to outcome pricing does not save a knowledge firm if the cost of the outcome itself is collapsing. Mapping the AEC value chain against a simple equation shows which parts of the industry lose their margin, which keep it, and where the real prize sits.
AI
The AI productivity surplus is up for grabs, and your fee model decides who gets it
Professional services firms are quietly capturing a 20 to 40 percent productivity uplift from AI. Clients have started noticing. Whoever moves their commercial model first keeps the surplus. Whoever moves last watches it flow to the buyer.
AI
Build plus subscribe: how mid-market firms should buy AI capability
The traditional project-fee shape doesn't work for AI. Pure SaaS doesn't work either. There is a specific hybrid that does, and it is quietly becoming how the good AI engagements are commercially structured. Here's what it looks like and why it holds up.
Talk it through.
A free 30-minute conversation. No deck, no pitch. Tell us where work gets stuck and we will tell you honestly whether AI will help.