Turn AI into savingssavings, growth, profit, cashflowfor your business.
AI Agents . Automations . Upskilling
Already on the other side.
The shift isn't AI in the work. It's the work reorganising around what only humans should still touch.
Three companies. Three quiet reorganisations.
“The CX team moved from triage to revenue conversations. They didn't lose work. They gained the kind they joined for.”
Source: Ada case study, 2025

“70% of senior planner time redirected to strategy. The work the team always thought they were hired to do, finally.”
Source: Anthropic Claude customer story, 2025

“A thousand strategists became skill-authors. The library they built standardised what used to depend on which strategist you got.”
Source: Anthropic Claude Cowork customer story, 2025
How we work
In 1915 the factories that wired themselves for electricity didn't look visionary; they looked sensible. A decade later, the ones that hadn't were museums.
AI is that moment, quietly.
“The most expensive workflow is rarely the one people complain about. We find it by counting hours, not asking opinions.”
Diagnose
5 to 10 stakeholder interviews. 4 to 6 workflows mapped trigger to outcome. Cost quantified per workflow at current state. Ranked by payback period.
A defensible plan for the next 12 months. The artefact stands alone whether or not you continue with us.
“Design is the only stage where 'no' is still cheap. Most consultancies skip it. Their clients pay for it later, in the build.”
Design
Solution architecture. Integration scoping. Build-versus-buy decisions. Acceptance criteria. The fixed-fee implementation quote.
You commit to the build only after the scope is locked. No scope creep. No surprise invoices. Decision rights kept on your side.
“Build is not where AI projects fail. The handoff between AI and human is. Most builds break in week 3 because nobody designed that moment.”
Build
Production-grade agents. Integrated into your stack. Instrumented for observability. Two team training sessions during the build itself.
Working systems your team trusts on day 30. Not pilots. Not POCs. Production.
“Shipping does not matter. Adoption does. A system your team will not use is worse than no system at all.”
Embed
Daily monitoring. Edge cases captured. Prompts iterated as real patterns emerge. Two additional training sessions. Executive readout at day 30 with adoption metrics.
A capability your team owns and extends. Day 31 it is yours. Median client extends the system to a second workflow within 6 months.
What's the one thing you wish AI would just do for you?
Let's start there.
30 mins. Your first automation scoped. On us.


