Marketing & Technology Consultant · AI Advisor

AI and marketing that pay their way.

I’m Jay Luhar. I started in SEO in 2008 and most recently led digital strategy for two AI and automation products. Now I help businesses decide where AI, automation and marketing will actually return value — and then make them work.

Now
Independent · United Kingdom
Previously
Strategy Lead, Lyzo AI & The Automation Lab

How I work: business goals, marketing demand, technology systems and AI leverage, connected into one growth system.

01 · Business Start with the business — goals, customers, constraints, and the one KPI that proves success.

Where I’ve done
the work
  • Lyzo AI’21–25
  • The Automation Lab’21–25
  • Cosmopole ConsultancyUAE ’18–20
  • HealthigoDubai ’17–18
  • Digital Media Group’15–17
  • Creative Solutions India’12–14
  • Business Info India’10–12
  • Target SEO’08–10
Since2008

In digital marketing since June 2008 — starting as an SEO Trainee in Ahmedabad.

Roles8

Roles across seven organisations, from trainee to Digital Marketing & Strategy Lead.

Countries3

Worked in-market in India, the United Arab Emirates and the United Kingdom.

AI products2×

Led digital strategy for Lyzo AI and The Automation Lab for four years (2021–2025).

Why I work this way

Buying AI is easy. Getting a team to use it is the work.

I didn’t start in a boardroom. I spent years doing the work: keyword research, campaign builds, analytics, reporting, team management — and, most recently, building AI-powered and Zapier workflows that moved leads through two businesses automatically.

That’s why every recommendation I make is tested against two questions:

01 · StrategyDoes it make commercial sense?

Clear cost, clear owner, a measurable return.

02 · ExecutionCan your team run it next month?

With the people, data and tools you already have.

Read my story
Approach

Four stages. A defined output from each.

Strategy without execution is just a presentation. Every engagement follows the same path, so you always know what you’ll have at the end of each stage.

  1. 01

    Understand

    Interviews and data review: customers, goals, processes, tools and constraints.

    OutputCurrent-state map
  2. 02

    Simplify

    Cut the list to the few changes that carry most of the value.

    OutputPrioritised opportunities
  3. 03

    Transform

    Roadmap, then delivery — automations, platforms, briefs and team enablement.

    OutputRoadmap + working changes
  4. 04

    Measure

    Check results against KPIs agreed up front, then pick the next opportunity.

    OutputKPI review
Who I work with

Five kinds of client. Five different starting points.

  • 01

    Startups

    Limited budget, too many channels and tools to choose from.

    Digital Growth Audit2–3 weeks
    Enquire
  • 02

    SMEs

    A growing team slowed down by manual, repetitive work.

    Workflow Optimisation2–4 weeks
    Enquire
  • 03

    Enterprises

    AI pilots that never make it into day-to-day operations.

    AI Transformation Roadmap4–6 weeks
    Enquire
  • 04

    IT & tech companies

    Pressure to put AI in the product without a clear use case.

    AI Readiness Assessment2–3 weeks
    Enquire
  • 05

    Leadership teams

    Technology decisions to make, without the time to become experts.

    Transformation AdvisoryOngoing
    Enquire
Philosophy

AI should amplify expertise — not replace thinking.

Problem before platform.

Define the business problem and its cost before looking at any tool.

Adoption before scale.

A workflow one team uses daily beats a pilot nobody opens.

Numbers before opinions.

Agree the KPI up front; judge the change against it.

Next step

Bring one business problem. Leave with a clear next step.

A 30-minute call is enough to tell whether AI, automation, marketing or a technology change is the right lever — and what it would take.