Process optimisation · Practical AI · Growing businesses
Better systems.
Less drag.
I help founder-led and growing businesses remove operational friction, standardise the work that matters and use AI where it creates measurable value.
Operational signalLive view
- 01Find the frictionEvidence, not assumption
- 02Simplify the workRemove before automating
- 03Build with the teamAdoption by design
- 04Prove the valueMeasure and sustain
OutcomeA system the business can run without depending on one person.
01 / Is this you?
Growth should not make the work harder every week.
These are often treated as separate irritations. Usually they are signs that the operating model has not caught up with the business.
02 / Ways to work together
Enough structure to make progress. Focused work, visible progress.
The engagement should fit the problem, not force the problem into a consulting package.
Focused diagnostic
A short, evidence-led review of one process or customer journey. You leave with the problem clearly framed, the highest-value opportunities and a practical next step.
Best when the problem is visible but the cause is not.Improvement sprint
A defined project to simplify the work, choose the right intervention, implement it with the team and establish useful measures.
Best when the priority is clear and progress needs to happen quickly.Fractional operations support
Senior, hands-on support to improve several connected processes, build management rhythm and transfer ownership as the business scales.
Best when growth has outpaced the operating model.03 / Relevant work
Small teams. Real constraints. Tangible change.
These consulting projects show how the approach works in practice, from diagnosis through implementation and adoption.
Founder-led operations2 weeks
01 / Shine Dance Competition
From separate spreadsheets to one operating system
Reviewed 15 vendors within a $1.5k budget, selected and implemented the right platform, trained the team and produced the first system-generated invoices. The central data then supported standard reporting and a KPI dashboard.
- 15 vendors reviewed
- 4,000+ dancers served
- 1 central system
“Louisa quickly understood our pain points as an organization and worked with the team to provide and implement quality processes that focused on our needs and capabilities.”
Shehan Jinapriyah, Managing Director
Multi-site administration60%
02 / F45 Training
Giving a founder and three studio teams time back
Mapped the friction in rotas, hours reconciliation and invoicing, then created a secure shared process that automated the flow. It was designed in one day and implemented with training within one week.
- 60% less effort
- 3 franchises
- 1-week delivery
“She is a pleasure to work with and always over delivers.”
Jade Wickens, Studios Manager
Repeatable specialist hiringBuilt to reuse
03 / Galen Eye Centre
Making specialist recruitment clearer and faster
Turned a difficult hiring problem into a candidate persona, market strategy, careers-page approach and reusable templates that the team could continue using independently.
- Market review
- Candidate persona
- Reusable toolkit
“She was flexible and creative when working with the team’s demands, giving us outputs that were easy to understand and much valued by our staff!”
Ann Meier, Practice Manager
04 / Where AI earns its place
AI should reduce effort, not add another layer of work.
The starting point is the process and the value at stake. The tool comes later.
Find the pattern
Bring together process evidence, team knowledge and customer signals so the real constraint is visible.
Remove repeat effort
Use AI for frequent, structured work such as research, synthesis, first drafts and quality checks.
Keep judgement human
Make ownership, source evidence and review explicit where decisions affect customers or people.
Leave capability behind
Turn the solution into a playbook, template or controlled workflow that the team can continue to use.
My working ruleStandardise what should be consistent. Protect the judgement that should remain human.Explore my AI work ↗
One awkward process? A business that has outgrown its systems? AI tools without a useful operating model?