Choosing an AI automation agency in Pakistan, and what the first ninety days should produce

Who does this work for an AI automation agency in Pakistan, and how do you start?

Wobble is the team that does the work. We are based in Karachi and have run 25+ engagements in six countries, shipping 120+ automations. We install AI employees, automations and dashboards inside your own accounts, and you own what we build. To start, you book the AI Readiness Call, which is free. The diagnosis that follows is paid, and it tells you what to build first.

The call is a conversation about where automation would pay back in your business, and it is also where we say so if it would not. Nobody is handed a proposal before we understand how your work moves today.

What the record shows

Clients are described by industry and country, not by name. Each figure below belongs to the case beside it and means only what that case measured.

Business	What we built	What was measured
RTO business, Australia	Delivery line rebuilt as one audited automation of 34 AI nodes	Gross margin 94%, from under 35%
Real estate business, USA	Inbound and outbound AI voice agents, more than 500 calls a day	$114k saved per year against the human cold calling team they replaced
Another real estate business, USA	AI calling on investor leads	$19.79 cost per lead, conversion up 40% after AI calling, outreach cost down 60%
Eye care business, USA	AI booking behind paid search	82 conversations via AI booking, $0.36 cost per click
Building materials business, Germany	Three disconnected tools replaced by one system	50+ leads on $2k spend
Contemporary art gallery, Karachi, Pakistan	Performance marketing and growth	53 active DM sales conversations from one campaign
Fashion business, Pakistan	Full AI operating system	2.76% click-through rate
Fundraising arm of an eye-care institution, Pakistan	Google and Meta donor acquisition with an AI caller behind it	No outcome figure is published for this case

The limits are real. Most of our automation record is with businesses in the USA, Australia and Germany. In Pakistan our published cases lean towards marketing and growth work with AI behind it, such as the art gallery, the fashion business and the fundraising arm. If your problem is unusual, ask us for the nearest case, and expect us to say when there is not one.

Two of the figures need reading carefully. The 94% is a gross margin measured against the same delivery line before and after, which makes the comparison unusually clean. The $114k is a saving set against the cold calling team the voice agents replaced. That is a different claim from new revenue, and we do not present it as one.

How the work is run, and where AI sits in it

AI is how we run the work, and it is the edge. It reads, drafts, sorts, calls and books at a volume a human team cannot match. It does not replace the discipline around it. Before anything is built we record your baseline numbers. We watch how work actually moves. We write down what will not be automated. A person samples the output after launch.

That is why the cases above can be stated as before and after. Without the baseline there is nothing to compare against, and an agency that skips it is asking you to take the result on trust. We would rather show you the measure and let you check it.

A retainer comes in two shapes, and mixing them is the usual mistake

An AI automation agency in Pakistan is normally hired on a retainer that covers two separate things, building new systems and keeping the existing ones running. Mixing those two into one number is the usual mistake. Ask what should exist by day 30 and by day 90, in objects you can point at, before the second invoice arrives.

There is a build retainer and there is a run retainer, and they are priced differently because they are different work. A build retainer buys a stream of new capability: this month a lead response flow, next month the quoting process, the month after the reporting layer. A run retainer buys the system continuing to work: monitoring, fixes, small changes, accuracy checks and a monthly account of what happened.

Trouble starts when one fee covers both without saying so. Six months in, the building slows because most of the obvious work is done, and the client is paying a build rate for what has become maintenance. Or the opposite: a low monthly fee that was really a maintenance number gets asked to absorb a significant new build, and the agency starts avoiding your emails.

The fix is to separate them on paper from the start. State what the monthly fee covers as running, state how new build is scoped and priced, and agree what happens when the build queue empties. An agency that has run engagements past the first year will already have a view on this. One that has not will tell you it is all included, which is the answer that causes the argument later.

• Running: monitoring, error handling, small changes, accuracy sampling, the monthly report
• Building: new workflows, new integrations, anything that changes what the system does
• Stated in the agreement: how a new build is requested, estimated and approved
• Stated in the agreement: what happens to the fee when there is nothing left to build

How we bill, and what you keep

Billing depends on the build. Some projects are a one-time build, some are a monthly service, and some are both. The one price we publish is for a business website of up to 8 pages with AI chat included, at $2,000–4,500.

Neither the diagnosis nor a retainer has a published price. Both depend on what is being built, and we cannot know that until we have seen how your work moves. You are quoted before anything starts, and each part is priced separately so you can stop one without losing the others.

You own what we build. Monthly services stop any month, with no lock-in. When a new idea comes up mid-engagement, it becomes the next phase: we quote it first and never add it quietly to the current work. We do not do free work and we do not take revenue-share deals, so a proposal built on either is not a fit.

Day 30, day 90, and after

Automation engagements go wrong slowly, and by the time it is obvious a lot of money has been spent. Milestones you can check against are the cheapest protection available, and any agency worth hiring will agree to them before starting.

By day 30, nothing impressive should exist and several boring things should. A written map of how work actually moves today, produced by somebody who watched people do it rather than by interviewing a manager about it. A shortlist of what will be automated, each with a reason. An explicit list of what will not be, which is the item that tells you whether they were thinking. Access resolved, which sounds trivial and eats more of week two than anyone plans for. And your baseline numbers recorded.

By day 90, one workflow should be live, carrying real volume, with a human checking a sample of its output. Not a demonstration. Live, in the hands of the staff who will use it, with the awkward edge cases found. If day 90 arrives and the only thing to look at is a prototype, that is the moment to ask hard questions, not month six.

After that, the first workflow should be boring and a second or third should be running. Boring is the goal. The monthly report should be showing the same measure you baselined at the start, and somebody should be able to say what broke since launch and what changed as a result.

Where automation scope goes wrong

Scope here fails differently from scope on a website project. It fails because the ground moves under it. The process changes mid-build when a client changes a form or a supplier changes an export. A platform changes a rule and something legal on Monday needs redesigning by Friday. And the process turns out to have three undocumented exceptions that only the person doing the job knew about.

WhatsApp is the clearest example in this market, because the assumptions people bring to it are consistently wrong. Messaging through the WhatsApp Business API runs on opt-in, on message templates approved in advance, and on a messaging window that closes after the customer's last reply.

A scope line that says send customers a reminder is not a small task, it is a template that has to be written, submitted and approved, plus a consent position, plus a design for what happens when the window has closed. Agencies that have not shipped on that platform routinely price it as though it were an email.

Written scope survives this better when it describes outcomes and names the constraints, rather than listing features. State what the workflow must achieve, what it must never do without a human, which systems it touches, and what the agreed process is when reality turns out to differ from the map. A change process everyone agreed to in advance costs an hour. One invented mid-project costs a relationship.

• Describe the outcome and the exceptions, not a list of features
• Name the human approval points explicitly, especially anything touching money or pricing
• Agree in advance how a discovered exception gets priced and scheduled
• Get platform constraints such as template approval into the timeline, not the assumptions

Questions to ask before signing, and what a good answer sounds like

Most buyers ask about tools and price. Neither predicts how the engagement goes. These questions do, and the quality of the answer matters more than its content.

Who operates this after launch, and are they on this call? A good answer names a person and their hours. A weak answer describes a team. Ask what happens when that person is on leave.

What will you refuse to build? A good answer is a specific example, told with slight irritation, because it actually happened. A weak answer is a policy statement about ethics.

Show me something that broke and what you changed afterwards. This is the most useful question on the list. Anybody who has operated systems for real has a story here. Anybody who has only built demonstrations will change the subject to a success.

What do you need from us, and how many hours a week? A good answer is uncomfortable and specific: access, a decision maker who replies inside a day, and at least one person who does the work being automated, free for a few hours a week in the first month. After launch you also need one internal owner who notices when the system misbehaves, and engagements without one decay quietly, whatever the agency does. An agency that needs almost nothing from you is describing a project that will drift.

What is in the monthly fee, and what is billed separately? A good answer matches the running and building split above, line by line. A weak answer is that everything is included.

What do we hold if this ends badly in month four? A good answer is that you own what was built, you can stop the monthly service with no lock-in, and the work already delivered is documented. A weak answer is silence about ownership.

What an honest monthly report looks like

The monthly report is where a retainer earns trust or quietly loses it. A report containing only good news is marketing, and experienced buyers discount it entirely.

The useful version has four parts. What the system did, in volume. How well it did it, measured against the baseline recorded at the start rather than against last month. What went wrong, including the things nobody outside the agency would have noticed. And what is planned next, with the reason.

The section that matters most is the second one, because it is the one that can embarrass the agency. If nothing in a monthly report has ever been uncomfortable to write, the measurement is not real. Ask for the accuracy sample: how many outputs were checked by a person, how many were wrong, and what kind of wrong they were. This is also how you tell, in month six, whether the retainer is still earning its keep.

When to wait rather than start

If nobody on your side can spend a few hours a week for the first month, do not start. The map of how work moves cannot be produced without your people, and an agency that agrees to build without it will build against an imagined process and discover the real one during launch, at your cost.

If your busiest season starts in six weeks, wait. Installing a new system into the middle of peak trading means training staff while they are under pressure, and the first inevitable defect lands on the worst possible day. Build in the quiet months, run in the busy ones.

If a single existing product would solve the problem, buy the product. Plenty of what gets scoped as custom automation is a booking tool, a shared inbox, or turning on a feature already included in a system you pay for. An agency that never recommends this has an incentive problem, and a buyer who never asks has an expensive habit.

Searching by city, or from outside Pakistan

The work is run from Karachi, and the method is the same wherever you are. If you are looking in a particular city, we have written up how it applies in Lahore, Islamabad and Rawalpindi. If you are a buyer in Britain, the same questions are answered on our UK page.

Common questions

What is the best AI agent for automation?

There is no single best one, because the right agent depends on the job. In our own work, voice agents suit high-volume calling, an AI booking agent suits turning paid clicks into conversations, and a chain of AI nodes inside n8n suits document-heavy delivery. Judge any of them by the measure you baselined before the build, not by a demonstration.

What are the top 10 AI companies in Pakistan?

We will not publish a ranked ten. We are one of the candidates, and a list we wrote would be marketing, not evidence. Build your own shortlist from three tests: outcomes published with their before and after, a named person who operates the system after launch, and a clear answer on what you own if you leave.

What does an AI automation agency do month to month?

In a running month it monitors what the system is doing, handles failures, makes small changes as the business shifts, samples AI output for accuracy, and reports on volume and results. In a building month it also scopes and ships new workflows. Separate the two in the agreement so neither quietly subsidises the other.

Should we pay a fixed project fee or a monthly retainer?

Fixed pricing suits a scope both sides genuinely understand, which usually means a second or third workflow rather than the first. Monthly suits discovery and operation. The common arrangement is a paid diagnosis, a phased build, then a monthly operating fee, each priced separately so you can stop one without losing the others.

What should we prepare before the first meeting?

Two weeks of simple counting: enquiries received, median time to a first reply, how many got no reply, and hours per week spent moving information between systems by hand. Also a list of the tools you pay for and who holds the admin logins. That preparation shortens the diagnosis and stops you paying somebody else to count for you.