A specialised internal assistant
Combine an approved knowledge source with a narrow set of tools for a particular team. Document where the assistant must stop and ask for a reviewer.
Built For You
Custom AI Agents
Built Around Your Business Process
Our four products cover the problems we have solved many times over. But most businesses have one stubborn process that looks like nothing in anyone's catalogue — the thing three people spend their mornings on, that everyone has stopped questioning. That is what a custom agent is for.
Where to start
Take the product. Unless you can't.
We would rather sell you something that already works than something we have to invent. Here is the honest split.
✓
Start with a product
If your problem looks like one of these, you get a proven system in weeks, at a known price, with people who have deployed it before.
- —Watching cameras for things nobody can watch for all day
- —Answering the same phone questions over and over, in Urdu and English
- —Finding the one paragraph that matters in thousands of documents
- —Reconciling ledgers and chasing paperwork every morning
★
Start with a custom agent
If any of these sound familiar, there is no product to buy — the answer has to be shaped around how your business actually runs.
- —“It only makes sense if you understand how we do it”
- —The knowledge lives with two people, and one of them is retiring
- —Your systems don't talk to each other, so a person carries data between them
- —You looked at off-the-shelf software and it was built for a different country
How we work
Four stages. You can stop after any of them.
Nobody signs a year-long contract on day one. Each stage produces something you own and can judge before deciding whether the next one is worth it.
01
1–2 days
We watch the work
On site, with the people who actually do it. Not a workshop, not a questionnaire — we sit with them and write down what really happens, including the parts that are not in any manual.
You get: a written account of the process
02
1 week
We agree the boundaries
Exactly what the agent may do, what it must never do, and who signs off on anything sensitive. In plain language, on one page, and you approve it before a line is written.
You get: a costed plan, fixed price
03
~3 weeks
We build a narrow slice
One real part of the job, running on real work, on your own systems. Small enough to finish quickly, real enough that you can tell whether it is any good.
You get: a working agent you can try
04
Ongoing
We widen it with you
Your team uses it daily and tells us where it falls short. We fix, extend and hand over, training the people who will own it after us.
You get: the full system, and the knowledge
For example
The shapes these usually take
Illustrations of the kind of problem that ends up here, not a menu. Yours will be its own thing.
📦
The one who knows the stock
A distributor where one storekeeper knows which supplier is reliable in Ramadan, which items move before Eid, and which customer always disputes. An agent that learns those judgements and drafts the purchase orders for him to approve.
📋
The tender reader
A contractor whose team reads every government tender to decide whether to bid. An agent that reads them all overnight, scores them against what you have actually won before, and leaves three worth your morning.
⚖️
The compliance second pair of eyes
A lender where every file is checked twice against rules that change each quarter. An agent that does the first pass, flags only what it is unsure about, and shows the clause behind every flag.
🚚
The dispatch planner
A transport business where routes are planned from memory, weather and who owes whom a favour. An agent that proposes the day's plan and explains its reasoning, so the planner can overrule it in seconds.
🏭
The shift handover
A mill where each shift briefs the next from a notebook. An agent that assembles the handover from machine records, quality checks and what the last shift actually reported.
💬
Yours
If you read those and thought “ours is more complicated than that” — that is the normal reaction, and it is the conversation we want to have.
Describe it to us →
Ownership
You own it.
Including if you leave us.
Custom work creates a dependency, and that dependency is worth naming out loud rather than discovering later. You own all custom instructions, workflow configurations, prompts, integrations, and proprietary datasets. We provide the underlying runtime framework under a perpetual, royalty-free operating license so your solution continues running on your infrastructure without vendor lock-in.
Start a conversation →The agent and its instructions
Yours outright, documented in language your own team can read and change.
Anything trained on your data
Stays yours, never used for anyone else, never used to train a public model.
Where it runs
Your servers, your private cloud, or a mix — the same choice as every other PakVisionAI system.
A clean handover
If you stop working with us, you get everything needed to keep it running, and training for whoever takes over.
PLAN YOUR PROJECT
Plan custom AI agent development in Pakistan
PakVisionAI scopes and develops custom AI agents around a specific business process when a standard camera, search, voice or workflow solution does not fit. Discovery defines the task, data sources, integrations, permitted actions and acceptance tests before the build and deployment plan is agreed.
Choose a custom build when there is a measurable problem and a real integration or domain requirement that existing software cannot cover. A process change or a small deterministic tool may be a better investment than an agent.
An unusual document workflow
Handle company-specific forms and exceptions that standard templates do not cover. Use representative examples and an agreed output format to make evaluation repeatable.
A combined service
Connect document retrieval, a call flow and an operations task where a single business outcome requires more than one capability. Keep permissions and ownership clear across the whole process.
What to prepare for discovery
- The problem, business owner and current cost or delay
- Representative examples and edge cases, shared through an agreed secure channel
- Required systems, deployment constraints and permitted actions
- Acceptance criteria, handover needs, licensing and maintenance expectations
What affects the cost?
Discovery, data preparation, connector development, evaluation, interface work and hosting affect cost. Agree deliverables and change control, and distinguish custom code ownership from third-party model or software licences.
Compare one-time and recurring costs using the enterprise AI proposal checklist →
Request a scoped Custom AI agent development proposal →How to evaluate the pilot
Agree the baseline, test data and pass criteria before implementation. These are evaluation methods, not published PakVisionAI performance results.
| Measure | How to assess it |
|---|---|
| Business outcome | Choose a result the process owner can verify, such as a correct completed case or reduced review time. |
| Exception coverage | Hold back realistic difficult examples from development and evaluate how the agent responds without extra coaching. |
| Operational handover | Check monitoring, access management, rollback, documentation and who maintains each integration after launch. |
Is this the right approach?
Compare a standard product, a process change and a custom build before committing. Custom development is most useful when its extra control or integration value exceeds the ongoing cost of ownership.
Planning guidance updated . About PakVisionAI · Discuss your requirements
Custom AI agent development: common questions
When should we choose a custom AI agent?
Choose a custom agent when a specific, measurable process cannot be served well by an existing solution and you can provide the data, integrations and ownership needed to evaluate it.
How long does custom AI development take?
The schedule depends on scope, integration access, data readiness and acceptance criteria. Start with a narrow pilot and agree milestones after discovery instead of assuming one delivery time applies to every build.
Who owns the custom agent and its code?
Specify ownership of custom code, prompts, data, documentation and any model adaptations in the contract. Third-party software and models retain their own licence terms; agree handover and ongoing access before work begins.
Can a custom agent run on-premises in Pakistan?
On-premises, private cloud and hybrid options can be assessed against the chosen models, hardware and integrations. Record all external dependencies and ongoing operating costs in the deployment plan.
What should we prepare before requesting a quote?
Describe one process, its owner, systems, approximate volume and the outcome you want to improve. Include known exceptions and your preferred deployment. Share confidential samples only through a separately agreed secure channel.
What happens after the custom agent is delivered — who maintains it?
Agree handover scope before development starts: documentation, access credentials, monitoring, rollback procedure and who is responsible for maintenance when APIs, forms or business rules change. Specify whether PakVisionAI, your team, or a shared arrangement owns ongoing support.
Talk To An Engineer • Deployments Nationwide
Run Enterprise AI on Your Private Infrastructure.
Discuss your cameras, documents, phone system or business workflow with our team. Define a focused pilot, deployment approach, acceptance criteria and delivery schedule before implementation.
✓ Agree secure data access
✓ On-premises, hybrid or private cloud
✓ Agreed data access controls
✓ Scoped support coverage