AI Consultant | Conversion Optimization
I help teams improve how their digital systems learn, convert, and perform.
Each engagement focuses on conversion optimization, experimentation strategy, or AI integration—depending on where the highest impact sits for your business.
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“Whether it’s refining user flows, scaling experimentation, or applying AI where it adds value, my approach stays hands-on—from architecture to execution.”
Strategy: Start With Signals, Not Assumptions
Every engagement begins by understanding how value is created—and where it’s lost.
Whether the goal is higher conversion, a faster experimentation cycle, or introducing AI where it truly adds leverage, the first step is always the same: listen to the signals, not the opinions.
What we identify
- •Points where users hesitate or drop off
- •Pages or flows that drive revenue, not just visits
- •Decisions or workflows that slow the system down
How this translates into action
- •A prioritised experiment roadmap
- •A clear measurement framework tied to business metrics
- •Defined opportunities where automation or AI can improve velocity
No guesswork. No “we’ll see.”
Just clear hypotheses, tested fast, and measured against outcomes that matter.
Find where users hesitate, convert, or churn. Map what slows momentum—UX friction, funnel gaps, or operational drag.
Turn insight into a short list of high-impact tests or workflow improvements. Prioritise what compounds learning fastest.
Build and launch improvements that can be tested, tracked, and iterated quickly—from funnel changes to AI-assisted workflows.
Experimentation: Ship, Learn, Repeat
Optimisation only works when it’s fast, measurable, and cumulative.
I help teams turn experimentation into a continuous learning loop—clear hypotheses, quick launches, and confident decisions.
Method
- •Design small, meaningful variations tied to measurable hypotheses
- •Ship fast with clean, reliable implementation that’s easy to roll back or extend
- •Measure outcomes transparently, share learnings, and scale what works
Tools in play
If AI is in scope, models and LLMs support data interpretation and experiment analysis—never as decoration.
Identify friction or uncertainty. Define success metrics and confidence thresholds.
Implement quickly using your testing stack. Keep delivery lightweight and measurable.
Analyse performance, extract insights, and apply proven patterns across the system.
AI Integration: Useful, Not Gimmicky
AI only matters when it reduces effort, improves clarity, or reveals patterns you couldn’t see before.
Some projects rely on it heavily. Others don’t use it at all. The goal is to integrate intelligence where it actually improves performance—not to add noise.
When it makes sense
- •Automating manual workflows or reporting
- •Personalising journeys in real time
- •Turning data into actionable insights
- •Supporting human decision-making with clear context
Approach
- •Evaluate where AI can create measurable lift
- •Prototype and validate before scaling
- •Build explainable, maintainable systems that teams can trust
Tools in play
Pinpoint where automation or intelligence adds the most value.
Build quick proofs of concept, test outcomes, and ensure explainability.
Deploy stable workflows with clear metrics and human oversight.
How This Looks in Practice
Each engagement follows a clear, repeatable flow—fast to start, easy to measure, and built for iteration.
It’s the same whether we’re improving conversion, scaling experimentation, or introducing AI where it helps most.
We identify where value is created, lost, or slowed—through analytics, session data, and team interviews.
Clear priorities and leverage points.
Design small, measurable changes that prove or disprove assumptions quickly.
Early validation, minimal risk.
Apply tested insights to live environments. Simplify journeys and align incentives.
Reduced friction and higher conversion.
Add intelligence where it speeds execution or insight, from analysis to personalisation.
Faster operations and richer feedback loops.
Document learnings, monitor impact, and feed data back into the next cycle.
Momentum that compounds over time.
Iteration Rhythm
Work runs in short, outcome-driven cycles. Each cycle has a clear scope, owner, and measurable result—so progress is visible and decisions stay fast.
I use a rhythm inspired by Scrum, but without the ceremony. We define what matters, run focused sprints, and review what actually changed—not what was planned.
Everything lives in Jira (or your internal tracker) so the team always knows what’s shipping, what’s blocked, and what’s next.
Cycle pattern
- •Plan: define a single measurable objective (conversion lift, test velocity, workflow automation, etc.)
- •Execute: build, test, and deploy within a short time window (usually 1–2 weeks)
- •Review: measure results, extract learnings, and adjust next cycle scope
The rhythm keeps improvement continuous, but never chaotic. Structure without drag. Speed without noise.
“The goal isn’t more meetings — it’s more momentum.”
AI Consulting Pricing & Rates (UK, US & EU 2025)
Transparent pricing for AI consulting, conversion optimization, and experimentation strategy. Serving businesses across the UK, US, and EU. All engagements are tailored to your specific needs and budget.
AI consulting rates vary based on project scope, engagement type, and complexity. I serve businesses across the UK, US, and EU, offering flexible pricing models to suit different business needs:
- • Hourly rates: For ongoing support, quick consultations, or flexible engagement models
- • Project-based pricing: Fixed-price engagements for defined scopes (e.g., AI workflow implementation, conversion optimization projects)
- • Equity partnerships: For early-stage startups, I can work with equity or revenue-share arrangements
Note: Exact rates depend on project requirements. Book a free strategy call to discuss your specific needs and receive a tailored proposal.
UK AI consulting rates typically range from £150-£500+ per hour depending on (similar ranges apply for US and EU markets):
- • Experience level: Senior consultants with proven track records command higher rates
- • Specialization: Niche expertise (e.g., conversion optimization, experimentation) may have premium pricing
- • Engagement type: Retainers vs. project-based vs. equity partnerships
- • Project complexity: Simple automation vs. complex AI system integration
My approach focuses on outcome-based value rather than just hourly rates. I work with startups and businesses globally (UK, US, EU) to find pricing models that align with their budget and growth stage.
For startups and businesses in the UK, US, and EU, my consulting services include:
- • AI workflow automation and integration
- • Conversion optimization and experimentation strategy
- • Rapid prototyping and micro-testing
- • Measurement framework design
- • Hands-on implementation from architecture to execution
AI consultant hourly rates vary by market (UK, US, EU) and project scope. I offer transparent pricing tailored to your needs across all markets, with options for:
- • Hourly support for ongoing projects
- • Project-based engagements with fixed pricing
- • Equity partnerships for early-stage startups
Based in London and Milan, serving clients globally. Contact me for a custom quote based on your specific requirements and location. Book a free strategy call to discuss your project needs and receive a tailored proposal.
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Every project is unique. Book a free strategy call to discuss your specific needs and receive a tailored proposal with transparent pricing.
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Whether it's AI integration or conversion optimisation, let's design systems that learn faster than your competitors.
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