CRO Agency · AI Consulting · Experimentation · London & Milan
A CRO and AI consulting agency that ships measurable lifts.
Lazige helps SaaS, e-commerce, and B2B teams convert more, learn faster, and run leaner — with conversion optimization, experimentation programs, and AI workflows matched to where the impact actually sits.
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the approach
“Whether it’s refining user flows, scaling experimentation, or applying AI where it adds value, our 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.
We help teams turn experimentation into a continuous learning loop—clear hypotheses, quick launches, and confident decisions.
Learn more about our CRO consulting services →
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
- AI-powered customer support automation that resolves 70% of tickets automatically
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 it works
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.
1. Discovery & signal mapping
Learn more →We identify where value is created, lost, or slowed—through analytics, session data, and team interviews.
Clear priorities and leverage points.
2. Rapid prototyping & micro-tests
Learn more →Design small, measurable changes that prove or disprove assumptions quickly.
Early validation, minimal risk.
3. Conversion & UX improvements
Learn more →Apply tested insights to live environments. Simplify journeys and align incentives.
Reduced friction and higher conversion.
4. AI workflow automation (if in scope)
Learn more →Add intelligence where it speeds execution or insight, from analysis to personalisation.
Faster operations and richer feedback loops.
5. Continuous iteration
Learn more →Document learnings, monitor impact, and feed data back into the next cycle.
Momentum that compounds over time.
cadence
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.
We 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.”
how we work
What a call covers, how we engage, and rates.
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.
We start with the funnel or workflow, not a pitch deck. A typical engagement:
- •Discovery: analytics, session data, and where value is lost
- •Hypotheses: 2–3 tests or workflow changes ranked by impact
- •Ship: experiments, UX, or AI workflows — then measure and iterate
Based in London and Milan. Remote for UK, EU, and US teams.
Get a Custom Quote
Every project is unique. Book a free 30m 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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Case Studies
See how experimentation, AI, and UX improvements compound in real engagements.
Experimentation Playbooks
Detailed frameworks, tooling, and execution cadence for your team.
AI Implementation Guide
Practical steps for building AI workflows that teams trust.