Most large organisations already have the data and the AI licences. What they rarely have is anyone whose job is to change how the work gets done with them.
Change how your teams work.
Our engineers build the data foundation your AI depends on, then put it to work in the Teams or Slack channels where the work happens.
Built in your own accounts. Access is agreed with your security team.Enterprise and regulated work
Our work includes
AI-native data engineering
AI is only as good as what it can read.
Most AI spending goes on assistants and agents, laid over systems that disagree with each other. We start underneath: our engineers map how your organisation actually runs, connect the systems behind it and write down what every number means, who owns it and which rules apply.
That blueprint is what your teams’ questions, your growth work and any assistant you add later all read from, Copilot included. It stays in your accounts and changes as the business does.
How we work
We work with everyone who has to say yes.
Our engineers join your Teams or Slack and answer to your leadership for the results.
- Your leadership
- We agree the measures that matter and report against them every month.
- The teams doing the work
- AI in the channels they already use, set up around their own questions.
- IT and risk
- Runs in your accounts under your controls. Nothing real is connected until access is agreed.
- Your data and BI team
- Definitions agreed with whoever owns each number.
What changes
Questions get answered where the work happens.
Questions that used to wait for a report are answered in the channel, with the records behind them. Anything that moves money or changes what a customer sees waits for the person who owns it.
Ask in TeamsTue 09:40Which cases have every document but no decision after 24 hours, and what is holding each one?
Answered from case, document and team records
- Waiting on assessment
- 41 cases, the oldest three days. Most sit with one team.
- Waiting on sign-off
- 12 cases, all with the same team lead, who is on leave.
Agreed definition
A case is complete when every requested document has been received. Agreed with the head of operations on 2 September.
DistributionMon 10:20Waiting for you
Reassign 284 accounts that have no adviser.
- Prepared
- Matched to active advisers by region and workload
- Needs
- Approval from the distribution lead
- Why it waits
- It changes who customers deal with
ApproveEdit
Demo data.
Growth
The same data shows where to grow.
With market data next to your own records, you see which regions and products are ahead of or behind plan, and why. The people who sell get the next steps.
This is where our work started. We have built growth systems with teams from early stage through to a billion-dollar valuation, and those systems now handle millions in revenue.
Ask in TeamsThu 08:15Eastern region, last quarter: what went right, what went wrong, and where should we focus?
Answered from sales records, adviser activity and market data
- Went right
- Sales from referrals by existing customers up 9%.
- Went wrong
- New business 14% behind plan. Adviser activity down since August.
Suggested focus
38 lapsed customers to call back, and two advisers to pair with the region’s top performer.
Where most conversations start
Bring your hardest questions to the first meeting.
Before any contract, we build a working model of your organisation in your Teams or Slack, on synthetic data shaped like yours, and your leadership team puts its own questions to it.
- You bring
- The people who run each area, and the questions they wait weeks for today.
- You leave with
- What the room found, a proposed first month, and what IT and risk will need to review.
Go first, with the risk on us.
Most AI programmes leave the person who signed carrying the risk if it stalls. We take that risk on ourselves.
- See it before you sign
- A working demo on synthetic data, so nothing is shared until you have seen it work.
- Month one, or your money back
- If the first month doesn’t show value, we refund it and you keep what we built.
- No long contract
- After month one, you stay only while the work is worth it.
- Yours from the start
- It runs in your own accounts and stays there if we leave.
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AI productivity
Customer and product data connected for product-led growth, with inbound leads routed to sales.
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Events and membership
Membership, event and contact records merged into one database.
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Telehealth
A client-owned data warehouse, with business questions answered through Slack and a web application.
Where it starts
Tell us where you want to start.
Book a call with Alex or Josh. We ask how your organisation works today, then build your demo.
Enterprise and regulated work Book a call, opens the 20-minute booking page in a new tabBefore we start
Are we buying software?
You are working with a practice. Our engineers build and run what you need in your own accounts, and it stays yours if we stop working together.
Isn’t this what Copilot does?
Copilot works with the documents and chats it can see. We connect the systems your numbers come from, agree what each number means with the people who own it, and help each team change how it works. Copilot can draw on what we build.
How do you handle our data?
Access, hosting and approvals are agreed with your technical and security teams before any real data is connected. We build in your own accounts, and the demo uses synthetic data only.
Do you replace our existing systems?
No. We connect the systems you already run and build on top of them, so each department keeps the tools it knows.
What does it cost?
We agree scope, fees and milestones after the demo, based on the teams and data involved.
