AI automation services for businesses in Lahore and across Pakistan
We design and build AI agents, chatbots, and workflow automations around the processes your team already runs. Each project starts with a review of the task, the data, and the systems involved, and is scoped and quoted in Pakistani rupees before work begins. Based in Lahore, we work with businesses across Pakistan and internationally.
Start with the task, then choose the technology
Many AI projects begin with a tool and then go looking for a use. We work in the other order. Before anything is built, we look at the tasks that take up your team's time: repeated replies, copying data between systems, and reports assembled by hand. Then we identify which of them a model can handle reliably today.
From there we build in small increments. You see a working pilot on your own data, test it against real cases, and extend it only where it has proved useful. You receive the prompts, the code, and the evaluation results, and the accounts and models are set up under your ownership.
Quick answers
What does an AI agent do?
It works through a task in several steps: reading a ticket, looking up an order, drafting a reply, and updating your CRM. It asks a person to confirm anything that carries risk.
How long before something is working?
It depends on the task and the systems involved. A pilot on one task is usually the first deliverable, so you can judge its value before committing to a larger build.
Who owns the result?
You do. We build in accounts you control and hand over the prompts, code, and documentation.
AI automation services built around the work you already do
AI agents for multi-step tasks
An agent is software that works toward a goal across several steps instead of answering a single prompt. We build agents that plan a task, use your tools through APIs, and stop to ask a person when a decision falls outside what they have been allowed to do.
Examples include a support agent that handles routine tickets from start to finish, or a research agent that compiles a summary from several sources for a person to review.
- Multi-step workflows with a defined goal
- Tool and API access limited by permission scopes
- Confidence thresholds and human approval steps
- Evaluation and decision logging
AI chatbots and voice agents
Assistants that answer questions on your website, on WhatsApp, or by phone, using your own documents and product information as the source.
Each assistant is set up to pass a conversation to a person when it reaches a question it should not answer, with the conversation history attached.
- Answers drawn from your knowledge base, not the open web
- Web, WhatsApp, and phone deployment
- Handoff to a person with the conversation attached
- Reporting on questions asked, gaps, and resolution
Workflow automation between your existing tools
We connect the tools you already use and automate the steps between them, such as invoice processing, lead routing, data entry, and report generation.
The aim is to remove the manual copying between systems, with an error alert and a record of each run so problems are visible when they happen.
- Works with your existing systems
- Document and data extraction
- Trigger-based pipelines with error alerts
- A record of every run
Custom AI solutions around your systems and data
When an off-the-shelf tool does not fit, we build for the specific problem. That can mean retrieval over your private documents, custom models where the results justify them, or integrations into your CRM, ERP, or product.
Hosting is chosen to match your compliance requirements, in the cloud or on your own servers.
- Retrieval-augmented generation over your data
- Fine-tuning only where the results justify it
- CRM, ERP, and product integration
- Cloud or on-premises deployment
AI readiness audit
A fixed-scope engagement that answers one question: where would AI pay off in your business? We review your data, tools, and team, then deliver a prioritized, costed roadmap that you keep whether or not you build with us. For a quick first read, try our free AI readiness checker.
The audit is a fixed fee of Rs. 50,000, and the details are on our pricing page.
- Data, tooling, and team readiness review
- Prioritized opportunity map by effort and impact
- Costed build roadmap
- A working proof of concept on your top use case
Specialized AI services
Most projects start with one of the five services above. These pages cover more specific needs, each with its own scope and, where one is published, its starting price.
- AI Data Analytics & InsightsAsk questions of your own data in plain language
- Document Intelligence & Knowledge AssistantSearch your documents and get answers with the source shown
- Predictive Analytics & ForecastingForecast demand, sales, or churn from your own history
- Computer VisionRead and check images, video, or scanned documents
- AI Strategy & Team TrainingTraining and planning for a team adopting AI
- Managed AI & MonitoringMonitoring and upkeep for AI systems in production
- AI Governance & ComplianceApprovals, audit trails, and policy for AI in use
Technology chosen for the requirements
We are not tied to one model provider. Hosted and open-source models are chosen for the task, and your data is handled according to the privacy requirements agreed for the project.
Models and reasoning
Data and retrieval
Voice, automation, and infrastructure
Compare two scenarios for time spent on a repeated task
Enter your own figures to compare the hours a task takes now with the hours it would take in a second scenario you choose. This shows the arithmetic difference between the two; it does not forecast what an automation will achieve.
These figures compare only the assumptions you enter. They do not include the cost of building or running an automation, and they do not predict time savings.
Review and prioritize
We review the tasks, data, and systems, and agree which use case to start with.
Build a pilot
A working pilot on your own data, scoped to one task, so you can judge it against real cases.
Test and integrate
Add approval steps and evaluations, then connect the pilot to the systems it needs.
Deploy and measure
Put it into use, track the measure agreed at the start, and extend it where the results support that.
Where AI automation is usually applied first
Support teams
Handle routine tickets and questions, with escalation to a person for the rest.
Sales and marketing
Qualify and respond to inquiries outside office hours, with a person following up.
Operations
Data entry, routing, and reporting across the tools already in use.
Founders and product teams
Add an AI feature to a product without building a research function first.
AI you can review and own
An automated system is only useful if you can explain what it did. We add approval steps for actions that carry risk, evaluate before launch, and monitor afterward, so the reason for each decision can be checked.
- Configured so your data is not used to train public models
- Human approval on high-stakes actions
- Evaluation and confidence thresholds before release
- Models, prompts, and data remain yours
Which AI service fits your problem
Most people arrive knowing the problem but not the label for it. Find your problem in the right-hand column.
| Service | Start here if you need |
|---|---|
| AI Agents | Software that completes multi-step work on its own. |
| AI Chatbots & Voice Agents | Answering customer questions in chat or on the phone, including outside office hours. |
| Workflow Automation | A repeatable process that people currently move between apps by hand. |
| Business Process Automation | A complete process redesigned from start to finish. |
| Document Intelligence | Answers buried in documents that nobody can find quickly. |
| AI Data Analytics | Asking questions of your own data in plain English. |
| Predictive Analytics | Seeing demand, churn or risk before it arrives. |
| Computer Vision | Reading images, video or scanned paper automatically. |
| AI Governance & Compliance | Approvals, audit trails and policy before AI goes live. |
| AI Strategy & Training | A team that needs to know what to use, and how. |
| Managed AI | Keeping it all running after launch. |
Still not sure? A strategy session maps the options against your actual processes before anything gets built.
Starting prices for AI services
Every project is scoped and quoted before work starts. The figures below are the starting prices published on our pricing page for each AI service. The final quote depends on the integrations, the data preparation, and the level of autonomy involved.
| Service | Starts from |
|---|---|
| AI Agent Development | Rs. 175,000 |
| AI Chatbot Development | Rs. 75,000 |
| Voice Assistant Development | Rs. 125,000 |
| Workflow Automation | Rs. 60,000 |
| Business Process Automation | Rs. 100,000 |
| AI Readiness Audit | Rs. 50,000 |
| CRM and Business Tool Integration | Rs. 75,000 |
| Document Intelligence | Rs. 90,000 |
| Predictive Analytics and Forecasting | Rs. 150,000 |
Our guide to how much an AI agent costs explains what drives build and running costs in more detail.
AI automation: your questions
Is our data used to train public AI models?
What happens when the AI gets something wrong?
Do we have to replace our current software?
How much does an AI project cost?
Can you work alongside our in-house developers?
How do you measure whether it worked?
Do you work with businesses outside Lahore?
Tell us about the task
Describe the task that takes the most time. We will tell you whether AI automation is a practical fit and what it would involve.