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AI

AI and business automation that does real work

AI is useful when it removes real work from real people. I build automation and AI features into business operations, with approval steps and audit trails so the people responsible stay in control.

Sannan Malik builds AI and business automation into day-to-day operations: document and data pipelines, AI assistants, intelligent workflows and voice systems, with approval steps and audit logs keeping people in control. He led the architecture of AI Voice Operations and an AI lead discovery platform. AI work is quoted individually after scoping.

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Why work with me on AI & Business Automation

01

Human in the loop

Approval steps for anything that affects customers, money or records.

02

Your data, safely

Clear boundaries on what data the AI sees, where it's processed and what's logged.

03

Measured, not hyped

We define what success looks like before building, and check it after.

Where AI automation usually helps first

The best first projects are repetitive, high-volume tasks where a person can check the result quickly:

  • Reading documents such as invoices, forms or applications and extracting the fields into your system.
  • Sorting and routing incoming emails, messages or tickets to the right person.
  • Drafting replies or summaries for a member of staff to approve before sending.
  • Validating and de-duplicating records before they reach your CRM or database.
  • Answering routine phone calls, with complex ones handed to people.

Plain rules, AI, or a mix of both

Not every automation needs AI. If a task follows fixed rules, such as sending a reminder when an invoice is overdue, ordinary workflow code is cheaper, faster and fully predictable. AI earns its place where the input is messy language, documents or speech that rules cannot handle.

Most good systems combine the two: rules decide what happens, AI handles the unstructured part, and a person approves anything that affects customers, money or records.

Two AI systems I have architected

AI Voice Operations automates inbound and outbound call workflows in Urdu and English, using speech-to-text, AI call handling and text-to-speech, with call monitoring, conversation logs and a live operations dashboard. The AI-Powered Lead Discovery platform combines source monitoring, research workflows, data validation and deduplication with permission and suppression controls, so outreach stays consent-aware.

Commercial AI models or self-hosted ones

Commercial models from providers such as Anthropic and OpenAI are quick to start with and strong at language tasks, but your data is processed by that provider. Open-source models running on your own servers keep data in-house and avoid per-request fees, in exchange for hardware and more setup. Many projects use both, chosen task by task.

Testing accuracy before automation goes live

AI output has to be checked against real examples before it touches live work. A typical project collects a set of your own documents, messages or calls, agrees what a correct result looks like, and measures the system against them. It then runs alongside staff, with every suggestion reviewed, before any step is allowed to happen without approval.

Cost depends on the number of workflows, the systems to integrate, data volumes, accuracy requirements and where the models run. Send the process you want to automate and the tools involved, and you get a written scope and a fixed quote.

Pricing

A fixed quote, agreed before work starts.

Every ai & business automation project is different, so I quote it individually after a short scoping conversation. You get a written scope, a timeline and one price.

How it works

How it works: AI & Business Automation

  1. 01

    Scope

    We agree goals, users, screens and the riskiest unknowns, written down with a fixed price.

  2. 02

    Design

    Flows and high-fidelity screens, reviewed with you in short loops before development.

  3. 03

    Build

    Regular working builds you can try on your own devices, not just screenshots.

  4. 04

    Launch

    Deployment, store submission help and a handover so your team owns what was built.

Senior from start to finish

You work directly with a senior architect and certified product owner, not a junior after the sales call.

Design and engineering together

The person who designs your product also architects it, so nothing is lost in handoff.

The price is agreed first

Scope and price are written down before work starts. Changes are agreed before they're built.

FAQ

AI & Business Automation: your questions

Ask me directly
Which AI models do you use?

It depends on the task, cost and data requirements. I work with commercial models and open-source models that can run on your own servers.

Can AI run on our own infrastructure?

For many tasks, yes. Speech recognition and some language models can be self-hosted when data must stay in-house.

Is AI automation priced as a package?

No. AI systems are scoped and quoted individually because data, integrations and accuracy needs vary.

Let's build it

Got an idea? Let's talk.

The fastest way to reach me is WhatsApp. Tell me what you're building and I'll reply with how I'd approach it, which package fits, or what a custom scope would look like.

Message me on WhatsApp