01 / Services
How I work with teams
Two things shape every engagement: how close I sit to the work, and what kind of project it is. Below are the three levels of involvement, and the project types they usually cover.
01
Direction
Founders and leadership
You need to know where the opportunity is and what to do about it, before committing budget or headcount to the wrong thing.
- Operations audit across growth, efficiency and cost
- Opportunities ranked by value and cost to capture
- Architecture and tooling recommendations: build, buy, or leave alone
- Written report and a working session with your team
02
Guidance
Team leads with a team that can build
You know roughly what needs to happen. What's missing is the design, and someone who has done it before reviewing the work as it goes in.
- Implementation blueprints: architecture, data models, and the decisions behind them
- Recorded training for the people doing the build
- Templates, worked examples and reference code
- Design review and async support throughout
03
Embedded
Teams that need it built with them, not handed over
Sometimes the fastest way to move a capability into a team is to sit inside it for a while and build the first one together.
- Hands-on implementation alongside your team
- Standards and patterns set by example, not by document
- Structured handover so it doesn't leave when I do
The work
Project types, and what they have delivered
These are the kinds of projects I take on. Where I have done one before, the result is listed with it. Clients are anonymised.
DATA ACCESS
Data prompting
Give your organisation access to its own data and the step up is immediate. Marketers analyse an experiment from every angle, operators decide on live numbers, finance and accounting steer on today's figures instead of last month's. No data skills required, because the question gets asked in plain language. Claude sitting on top of your data warehouse.
Two brands of an international online retailer.
AUTOMATION
Connecting your tech stack
Save hours of manual work, or push far more through the same team, by letting your systems talk to each other. Orders placed automatically off inventory levels. Campaign budgets moved across channels on performance. Site and blog content updated on SEO opportunities and spikes in interest. AI and automation doing the parts nobody should be doing by hand.
Two brands of an international online retailer, where output doubled once AI took on the work.
ALIGNMENT
Goals that reach the people deciding
Marketing optimises for orders, operations for cost, customer service for ticket times, commercial for range. Each one is right on its own and the company still pulls in four directions. I build the system that surfaces company goals where the work happens, so the person making the call can see what it costs elsewhere.
A fast growing European online grocer, and a small ecommerce brand.
MEASUREMENT
Campaigns optimised on real attribution
For most companies attribution is guesswork. Nothing predicts the future, but multitouch attribution combined with a testing suite and a clear process gives you a framework that keeps improving. ROAS goes up, incrementality becomes something you can see, and LTV improves structurally rather than by accident.
Two brands of an international online retailer, and a European online grocer where CAC halved.
PLANNING
Forecasting and annual planning
If firefighting and surprises are business as usual, the fix sits upstream. A high level budget and a rolling forecast you actually steer the business from, so stock runs out less often, delivery times hold, and the plan survives contact with the quarter.
A European online grocer, and a UK scale-up where delivery times came down to 72 percent of what they were.
SCALE
Growing with the same people
Is headcount growing in line with revenue? Work out which processes have to scale, catch them early, and fix them before you have to hire. Growth without the cost curve that normally comes with it.
A European online grocer, where a team with capacity for ten hub openings delivered a hundred, and a UK scale-up that grew operations threefold without adding to the ops team.
AI ENABLEMENT
AI enablement for your team
Not sure where AI helps your business, but you want your people making more impact with it? I set up the infrastructure, the guardrails and the working habits that get AI into everyday work, and train the team to carry it on themselves.
Client names are held back on request. Ask about any of these and I will walk you through what the engagement looked like.
How I work
Three things worth knowing up front
Blueprints before hours
By default I design and teach rather than execute. It is better value for you, and it is the only version of this that leaves capability behind.
Measured against a baseline
We agree what we're measuring before anything changes. Otherwise there's no honest way to tell whether it worked.
Nothing you can't maintain
If your team can't run it after I'm gone, it isn't finished, however impressive the demo looks.
Start with a conversation
Tell me what you are trying to move. If there is a fit, the first step is an audit that establishes what is actually happening and what is worth fixing.