Make growth easier to understand, repeat and scale.
Hi, I'm Julia. I build the operating layer of growing businesses: the processes, data, systems and AI that let you see what is driving growth and act on it. Which customers to focus on, how sales and service run, what the numbers are saying, whether the CRM is doing its job, and where AI can take on real work.
The operating layer of a business.
I work in the space between commercial strategy, customer experience and the systems teams use every day. That might mean working out who your best customers are, improving how sales opportunities are managed, making revenue easier to forecast, redesigning how HubSpot or Salesforce captures information, or building AI into the business as working systems: assistants, workflows and automations that enrich, summarise, monitor and draft. I do the build as well as the thinking.
The aim is to help the business understand itself, serve customers better, and grow with more consistency.
Start where the friction is.
Every business is somewhere different. These are the five areas I'm most often brought in to sort out, together or one at a time.
Know which customers to focus on
Understand who your best customers are, what makes them valuable, how they should be segmented, and what kind of experience each group should receive.
- Segmentation, ICP and account tiering
- Lifecycle stages and churn signals
- Onboarding journeys
- Differentiated service models
Make sales and service easier to run
Turn good individual habits into consistent ways of working, so teams are not relying on memory, workarounds or heroics.
- Sales processes and opportunity management
- Service workflows, handoffs and escalation points
- Customer context and task prompts
- Team operating rhythms
Make revenue easier to see
Help leaders understand what is happening in the pipeline, when revenue is likely to land, where risk is building, and what needs attention.
- Forecasting and variance analysis
- Pipeline hygiene and sales stages
- Account ownership
- Dashboards and leadership reporting
Make your CRM actually useful
Structure HubSpot or Salesforce so it reflects how the business really works and gives people information they can trust.
- CRM design, field logic and data quality
- Governance and reporting architecture
- Enrichment and automation
- Adoption that sticks
Use AI where it helps
Find the places where AI can support real work: a practical layer on top of customer, revenue and operational information.
- AI-assisted research and customer summaries
- Account intelligence and competitor monitoring
- Voice of Customer synthesis
- Internal assistants and decision-support tools
Engagements shaped to the problem.
That might be a few days a month over the long term, a defined project, or a fast look at something that's bothering you. We work out the right shape at the start, and it can flex as the work does.
Fractional
Senior commercial operations capability without the full-time hire. A regular slice of time each month, owning the agenda with your leadership team and building as we go.
Project
A defined piece of work with a clear outcome: a forecasting model, a CRM rebuild, a segmentation, an AI workflow. Built with your team and handed over so you can run it without me.
Short and sharp
A diagnostic or working sprint when you need clarity fast. What is happening, what matters most, and what to do next, with recommendations you can act on straight away.
On site or remote, your hours or mine.
The same principles, whatever the engagement.
Fractional, project or sprint, the shape of the engagement changes. These four things hold.
Start with the work, not the tool
What are customers trying to do? What are teams trying to manage? What does leadership need to understand? The system should support the work, not the other way around.
Make the useful things repeatable
When something works, it should not depend on one person remembering to do it. The right process, prompt, report or automation makes good work easier to repeat.
Design for customers and teams
Good operations improve the customer experience and the employee experience. Customers should feel understood. Teams should know what to do next.
Add AI where it earns its place
AI is useful when it improves speed, context, consistency or insight. It should be connected to the business problem, the data available and the people who need to use it.
The Camberwell
The Camberwell is the independent consulting practice of Julia Whyte.
I have spent 18 years working across commercial operations, revenue operations, sales technology, transformation and applied AI, from global process and systems work at PayPal and Maersk to building the revenue operations and commercial intelligence function of a high-growth business across New Zealand, the US and the UK.
My work sits between the business, the customer and the systems: understanding how work happens, designing clearer ways to manage it, and building the reports, workflows, automations and AI tools that help people act with more confidence.
The practice is AI-first. I work with these tools every day, and I build them into businesses properly: assistants, agent workflows and automations set up with the context, connections and guardrails they need to do real work. The eighteen years of process and systems experience is what makes the AI work well; it means I automate the right things.
MBA, Cranfield. Working with clients internationally, on site or remote.
Let's connect on LinkedIn ↗Questions I hear a lot.
Most of these need a proper look at your business before the answer means much, but here's how I think about each one.
How do we work out who our best customers are, and why some of them leave?
It depends what "best" means for your business: biggest, most profitable, fastest growing, cheapest to serve, or most likely to stay. The work starts by pulling those views together from your CRM and financials, then testing them against what your team believes. Where those two pictures disagree is usually where the good decisions are, and often where the churn story starts.
Why is our revenue forecast always wrong?
Usually one of three things: sales stages that don't reflect how deals really progress, pipeline data that's stale or optimistic, or a target that everyone has agreed to call a forecast. A few weeks of variance analysis will show which one you've got. Fixing it is process and habit as much as maths.
Should we fix our CRM or start again?
It depends whether the structure is wrong or the data is. Objects, stages and fields that don't match how you work usually mean a rebuild. Bad data in a sound structure can be cleaned and governed. Most businesses assume they need to start again; many just need the CRM brought back in line with how the business actually works, with rules that keep it that way.
How should we bring AI into the business?
Start with the information it will draw on. AI on top of messy customer and revenue data produces confident nonsense at speed. Get the CRM, the definitions and the key processes sound first, then set the AI up properly: the prompts, tone, connections and context it needs to work like someone who knows your business. From there it can take on real work (research, summaries, account monitoring, drafting) and make the people using it better at theirs: sharper insights, a thinking partner, tools built for the role.
We keep losing deals late. Where do we start?
With the data you already have: stage conversion, time in stage, loss reasons if you capture them, and a proper read of the last dozen lost deals. Late-stage losses usually trace back to qualification much earlier in the pipeline, so the fix is rarely where the symptom shows up.
Do we need a full-time hire, or a consultant?
It depends on volume and stage. Most growing businesses have a few days a month of properly senior commercial operations work, and a lot of day-to-day running that can sit with existing teams once it's well designed, especially when AI tools built for your business are carrying part of the load. Fractional gives you the senior capability without the full-time cost. When the running outgrows that, hire, and I'll help you shape the role.
Got a customer, revenue, CRM or AI question you need to make sense of?
Tell me what you are trying to understand, fix or build. I'll help you work out what matters, what is possible, and where to start. There's no pitch and no obligation, and you'll leave the first conversation with something you can use whether or not we end up working together.
Not ready for a conversation? Follow along on LinkedIn or have a read of the blog.