You have a CRM. Your team still runs the business out of spreadsheets.
One system to market, sell and serve your clients and the change work to make it stick.
Two weeks, $4,500 fixed, refunded if you say it wasn't worth it.
Built by Jack, ex-EY change and governance, and Seb Hodge, ex-HubSpot.
Move deal to next stage: advisory client, name removed
Why: partner call on 9 June noted verbal approval, contract requested. Source logged.
Our own HubSpot. This is the review screen Seicho runs on, with the client name removed. It is also the last thing we build for you.
You've said one of these out loud this quarter.
Three partners are talking to the same client and don't know it.
We rolled it out. Nobody logs in anymore.
The board wants AI. Our CRM data would poison it.
One system. One number. Everyone using it.
Right now sales quotes one figure, marketing reports another, and service holds a client history neither of them can see. We clean up the CRM your last provider gave up on, rebuild HubSpot around the way your firm actually wins and delivers work, and put all three teams on it with a named owner in every practice. The board pack stops coming out of a spreadsheet nobody else has seen. Your team owns the result, and nothing we leave behind needs us to keep running.
One source of truth
A CRM your team actually uses, because it briefs them before every meeting instead of nagging them for data entry.
Cross-practice visibility
Sales, marketing and service see the same client history, so no one finds out a deal existed after it's already closed.
Stack and integration audit
We map what's connected, what's duplicated, and what you're paying twice for, before we add anything new.
Half of CRM projects fail. The software is rarely the part that broke.
Gartner has put CRM implementation failure at around 50 per cent and Forrester at around 47 per cent. Those numbers count the failures. They don't explain them. What we find in portals is consistent: the data underneath is wrong, nobody owns the change, and the team quietly stops logging in. The fix is unglamorous. Clean data, a process your team recognises, and one person accountable for making it stick. That is where we spend our time, long before AI enters the conversation.
Where a CRM or AI project's outcome comes from
Most teams buy the 10 per cent and skip the rest. We spend our time on the other 90. The proportions are indicative rather than measured. The ranking is the point.
AI made our build work faster. We gave the time back to your people.
Cleaning data, mapping fields, migrating records and wiring integrations used to eat the schedule. It doesn't anymore. We don't take that time back as an early finish. It goes into the part that decides whether the system survives: named owners, stakeholder workshops, training, and the reinforcement after go-live, when most providers have already moved on to the next project.
How we run the change side
ADKAR, tracked per team
We track Awareness, Desire, Knowledge, Ability and Reinforcement for every team the system touches, the same Prosci change model used in enterprise transformations, sized to a firm your size.
Agile delivery cadence
Short cycles, visible progress, and a working system your team can react to early, instead of a reveal at the end.
Led by someone who's done it
Jack ran change programmes at EY before this. Adoption is the part most builds skip and the part that decides whether yours survives.
AI with an audit trail.
AI gets the same terms as a new hire. It can propose. It can't decide. Nothing touches a client record without a person approving it and a log saying who.
AI proposes
The AI reads your calls, emails and records, then proposes a change: update this deal, brief this partner, fix this contact. It proposes. It doesn't act.
Your team approves
A named person on your team sees the suggestion, the reasoning, and the source. They approve it, edit it, or reject it. The decision is theirs, in one click.
Change is logged
The approved change is applied and written to a permanent log: what changed, who approved it, when, and why. If anyone ever asks, you can show them.
Before you commit to a build, spend two weeks.
In 14 days, you'll know exactly what your CRM is costing you.
Two weeks answering two questions. Where is the revenue, and can your system go and get it? We map your addressable market and build your ICP from your own won and lost work, then assess your data, your pipeline process, your stack, and your exposure if AI were switched on tomorrow.
$4,500
Proceed to a build within 30 days and the full audit fee comes off the price. Say at the readout that it wasn't worth it and we refund it. Either way you keep the findings.
Book a Revenue System AuditJack and Seb collaborate on every audit and deliver every readout together. Four a month. Nothing is payable on the first call.
Who this is for. And who it isn't.
We do one thing well, and we'd rather tell you upfront than waste your fortnight finding out.