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AI, Data & Automation

AI development and automation for your business

We help you find one job where AI may help, test it in a small pilot, and then decide. AI does not fit every task, and we say so.

NDA on requestDemos of working software, usually weeklyPlain-language progress reports

In short

An AI development company builds tools that use AI for one clear business job. Examples are answering questions from your documents, reading forms, or automating a workflow. ShooraTech starts with a short assessment and a small pilot with a clear measure. That lets you judge the value before you spend more.

Problems we solve

Where teams usually come to us

"Our knowledge is spread across files"

An assistant can answer questions from your own documents and show where each answer came from, so people can check it.

"Staff spend hours on repeat paperwork"

AI can read forms, invoices or emails and sort them. A person can review the cases it is unsure about.

"We do not know where AI fits"

We start with a short assessment. We look at your tasks and pick the one most worth a small test.

"We worry about our data"

We settle where data is sent, stored and kept before any build starts. Some jobs may need to stay on your own servers.

What we do

AI, Data & Automation services

Each one has its own scope, timeline and cost.

01

AI assessment and pilot

A short review of your tasks, then a small test with one clear measure.

02

Assistants over your own documents

Staff ask questions in their own words and get answers with sources. This is often called RAG.

03

AI assistants and chatbots

Helpers for staff or customers, with a handoff to a person.

04

Document reading

Pull data out of forms, invoices and emails, and send each item to the right place.

05

Workflow automation

Approvals, alerts and tasks that move between your systems without manual steps.

06

Reports and data work

Clean data feeds and dashboards, so reports come from one source.

ToolsLLM integrationRAGSemantic searchAutomation.NETAzure

How we work

From discovery to support

  1. Discovery

    We learn about your problem and your users, and write down what you want to achieve.

  2. Plan

    We write down the scope, timeline and price before work starts.

  3. Build

    We build in short steps and show working software in a demo, usually every week.

  4. Launch

    We test the software, release it and hand it over with clear notes for your team.

  5. Support

    After launch we can monitor, fix and improve it. Support plans are agreed with you.

Timeline and cost

What it takes and what drives price

An assessment usually takes days, and a pilot often takes a few weeks. We agree one clear measure first, so the result is a decision and not an opinion.

State of your data

Clean data in one place costs less to use than data scattered across systems.

Checks by people

If a mistake would be costly, you need more testing and a person who reviews the results.

Connected systems

Linking to your systems and user permissions adds build work.

Usage

AI services often charge per request, so cost grows as more people use the tool.

Engagement models

Choose how we work together

Engagement models
ModelBest forWhat drives cost
Fixed scopeA project where you know what you needNumber of features and connected systems, and rules you must follow
Dedicated teamA product that keeps growing over many monthsTeam size and experience level
Time & materialWork where the plan may change as you learnHours worked
Support & modernizationLive systems that need care, or step-by-step renewalHow much support you need and how big the system is

Related

Keep exploring

See also illustrative project examples. Real, client-approved case studies are added as they are published.

FAQ

Questions buyers ask

How do we start with AI, and how long does it take?

We start with a short assessment, which usually takes days. Then we run a small pilot, often a few weeks, with one clear measure. You decide what to do next from the result.

What makes a job good for AI?

Good jobs are repeated often, have clear examples, and allow a person to check the result. Poor jobs need perfect answers each time, or have no data to work from. We say so early.

How much does an AI project cost?

Cost depends on how clean your data is and how much checking you need. It also depends on which systems must connect and how many people use it. We write down the scope and price for the pilot first.

What should we settle about data privacy first?

Settle what data the tool may see, and where it is sent and stored. Settle who can use it and how long data is kept. We agree these points with you before any build starts.

How accurate is AI?

It depends on the task and the data. AI can give wrong answers. During the pilot, we test it on your real examples and count the mistakes. We add human review where errors would cost too much.

Will AI replace our people?

Our aim is to take over repeat steps, so your team can spend time on judgment and customers. People stay in charge of decisions, and the tool shows its sources so they can check.

Step 1 of 2

Step 1: about you

Start with the basics

Who should we write back to, and what do you need?

Enter your name.
Enter a valid email address.
Enter your country.
What do you need? (required)
Choose a project type.

NDA on requestWe usually reply the same business dayYour details are used only to reply

Reviewed by the ShooraTech engineering team. Last updated .

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