Automation

AI Consulting & Tool Setup in Nepal

Most businesses do not need a custom AI system. They need the right two or three tools, licensed properly, set up for the work their team actually does, with a written policy about what may and may not be pasted into them. That is what this engagement delivers, and it usually costs less than one build.

  • Free 30-minute discovery call
  • No reselling; licences in your name
  • Usage policy and training included

Who this is for

Owners and managers in Nepal who can see that their team should be using AI tools, have watched a few people try, and now have three different subscriptions on personal cards, no rules about client data, and no idea whether any of it saved time. Also companies about to spend on a custom build who would get most of the benefit from off-the-shelf tools used properly. This service sits under marketing and business automation services; when the answer is a built workflow rather than a tool, that is AI automation services.

It is not a strategy deck about the future of AI. It is a short engagement that ends with tools chosen, accounts set up in the company’s name, a written policy, and people who know how to use them for their own tasks.

What the engagement covers

  • Work audit. A short review of what each role spends time on, so tool choice follows the actual work rather than the marketing on the tool’s homepage. This usually surfaces two or three tasks worth automating outright rather than assisting.
  • Tool selection. A short list with the reasoning: what each does well, what it costs per user per month, whether it handles Nepali acceptably, what happens to data you put in it, and what the switching cost looks like in a year.
  • Licensing and accounts. Business or team plans set up in the company’s name rather than on someone’s personal card, with the admin controls, seat management and data settings configured. Payment from Nepal is the practical obstacle here more often than price.
  • Configuration for your work. Shared prompt libraries, project spaces, custom instructions and connected documents set up per team, so people start from something useful instead of an empty box.
  • Usage policy. A one-page document covering what may be pasted into a model, what may not, which client data is off limits, how AI-assisted work is disclosed and who approves output that goes to a customer, reviewed by your own legal adviser before it is issued if it touches client data.
  • Training. Two sessions with the people who will use it, on their own tasks with their own files, not on generic examples. Structured training for teams is also available through digital marketing training.
  • Review. A check four to six weeks later on what is actually being used, what was quietly abandoned and where a built workflow would now pay for itself.

What I will not do

  • Resell licences or take affiliate commission. Accounts are bought in your name, at list price, and I have no financial reason to prefer one tool.
  • Recommend a tool for regulated data without checking its terms on training, retention and location, particularly for healthcare and financial records.
  • Promise headcount savings. Any consultant quoting a percentage of staff time saved before looking at your work is guessing.
  • Build the custom thing first. If a subscription and good instructions solve it, that is the recommendation, even though the build is the larger invoice.

How an engagement runs

  1. Free 30-minute call to establish what you are trying to fix and whether you need consulting at all.
  2. Interviews with three to five people across the roles that would use the tools, about their week rather than their opinion of AI.
  3. A short written recommendation: the tasks worth assisting, the tools, the per-month cost, the data considerations and the sequence to roll them out. Usually five to eight pages, and you own it whether or not you continue.
  4. Setup week. Accounts, admin settings, shared prompt libraries, connected documents and the usage policy.
  5. Training sessions with real tasks, recorded so people who join later can watch them.
  6. Review after four to six weeks on adoption, cost and what to build next.

What you receive

  • The written recommendation, including the tools you were advised against and why.
  • Accounts and admin configuration in the company’s name, with seats, billing and data settings documented.
  • A shared prompt library organised by role, in your own terminology.
  • The AI usage policy as an editable document, plus a short version to put in the staff handbook.
  • Recorded training sessions and a one-page starter guide per role.
  • A prioritised list of the workflows worth building once the tools are in daily use.

Pricing pointer

Consulting is a fixed-price engagement quoted from the size of the team and the number of roles involved, and it is normally the cheapest thing on this hub because nothing is being built. Ongoing advisory is available month to month. Tool subscriptions are paid by you, directly, at list price. If the recommendation leads to a build, that is quoted separately on request, and where the answer is a team assistant on your own documents, see custom GPT and AI assistant development.

Next step

Book the free 30-minute call and bring one task per role that eats time every week. I will tell you on the call which of them a subscription solves, which needs a workflow, and which should stay entirely with people. If a written recommendation makes sense after that, you get a fixed price within four business hours.

Frequently asked questions

Which AI tools do you recommend for a small business in Nepal?

It depends on the work, and I will not name a stack before seeing it. The pattern is usually one general assistant for writing and analysis, one tool tied to where the work already lives such as documents or the CRM, and one specialist tool for the heaviest single task. Two well-used subscriptions beat six that nobody opens.

Can a Nepali company pay for AI subscriptions?

In practice this is the most common blocker, and the workable routes change, so I check the current options for your bank and card type as part of the setup rather than assuming. Where a business plan cannot be paid for directly, I set out the alternatives including API-based access billed differently.

Is it safe to put client data into these tools?

It depends on the plan and the provider's terms on training, retention and storage location, which differ between consumer and business tiers of the same product. The usage policy names what may and may not be entered, and for regulated data I would either choose a provider with terms that permit it or keep that data out of the tools entirely.

How long does the engagement take?

Two to four weeks end to end: a few days of interviews, the written recommendation, a setup week and training. The review sits four to six weeks after that. It is deliberately short, because the value is in choosing well and starting, not in a long assessment.

Do you train the whole team or just managers?

The people who will actually use the tools, which is usually not the managers. Training is done on their own real tasks with their own files, in groups small enough that everyone opens their laptop. Sessions are recorded so new joiners get the same start.

What if we decide not to adopt anything?

That is a legitimate outcome and I have recommended it. If the work is not repetitive enough, or the data cannot leave your systems, or the team is already at capacity for change, the honest answer is to wait. You still keep the written recommendation and the work audit that led to it.

Ready to talk about your project?

A free 30-minute call, a straight answer about what would move the numbers, and a written proposal within 48 hours if we are a fit.