
Bikash Gurung
AI Digital Marketing Expert & Consultant
I'm an AI digital marketing expert and consultant based in Pokhara, Nepal, working with clients across time zones. My work sits where marketing strategy, automation and measurement meet — the parts of a business that decide whether growth is repeatable or accidental.
Most of what I do is less exciting than the phrase “AI marketing” suggests. It is finding where a funnel leaks, fixing tracking nobody trusts, removing manual steps that should never have existed, and writing down the definitions a team has been arguing about for a year. AI enters where it genuinely helps: classification at volume, research synthesis, drafting, personalisation, and the repetitive work that consumes a team's week.
I came to this through hands-on digital marketing — running campaigns, writing content, watching analytics contradict itself — which is why I am sceptical of tools that promise to replace judgement. The businesses getting real value from AI are the ones that decided what problem it should solve first.
If you are weighing an AI investment, deciding which channel deserves budget, or trying to work out why marketing activity is not showing up in revenue, that is the kind of problem I like.
Mission
Make AI-powered marketing practical, measurable and accessible to ambitious businesses.
Not every business needs a machine learning model. Every business does need to know which activity produces customers, and to stop spending hours on work a system should handle.
Eight areas that come up in almost every engagement. Most projects touch three or four of them.
Applying AI where it compresses time or improves a decision, and saying so when it does not.
Positioning, channel priorities and sequencing built from your data rather than channel fashion.
Monitored workflows for lead routing, follow-up, reporting and distribution.
Production processes that hold quality as volume increases, with a human owning the argument.
Offers, capture paths and qualification that produce conversations worth having.
Evidence-led improvements to the traffic you already have, prioritised by impact.
Acquisition and retention treated as one system with shared measurement.
Definitions everyone agrees on, tracking that matches them, and reports people read.
Four things that shape every engagement, so you know what to expect before the first call.
Most engagements start with a defined piece of work rather than a long retainer. It is a lower-risk way for both of us to find out whether this is a good fit.
Findings, definitions and plans are documented. A conversation is easy to misremember; a measurement plan is not.
Every workflow ships with a runbook and a training session. If you need me to keep it running, I built it wrong.
I say when something is outside what I do well, when data is too thin to support a conclusion, and when a change did not work.
The tool is the last decision, not the first. Deciding what problem to solve eliminates most of the shortlist on its own.
If a claim cannot be checked against your numbers, it stays a hypothesis — including my own.
Automating a step that should not exist is more expensive than the manual work it replaced.
Marketing that works starts from what someone is actually trying to do, not from what we want to sell them.
One change per cycle, measured against a stable baseline, documented so the next cycle is faster.
Tell me what you are working on and I will tell you honestly whether I can help.
Let's work togetherBring a marketing problem, a growth target, or an AI idea you are not sure about. A 30-minute call is usually enough to tell whether there is something worth building.
Typical reply within one business day