Applied AI · data · evaluation

AI for business tasks

Find where AI fits your workflow and test the result before extending it further.

A defined task, suitable data and a practical first pilot.

Our applied AI experience includes computer vision in production. For documents, requests and other data, we start by assessing suitability: what the system should do, which material it can use and where human review is needed. The findings determine the next step.

A specific task, data requirements and evaluation criteria.

Findings from testing the selected approach on agreed examples.

A decision to deploy, revise or stop, with a defined next-stage scope.

Scope of work

01 /

Task selection

Review a repeated operation and its exceptions. Assess whether AI, a conventional algorithm or a change to the process is appropriate.

02 /

Approach evaluation

Prepare a permitted test sample, define errors and the staff review role. Test extraction, search or another agreed operation.

03 /

Deployment planning

Define hosting, access, operating costs and support. Include integrations after checking the connection options of the relevant systems.

From a task to a working solution

Choose one operation and define what a useful result looks like.
Test examples and review errors with your team.
Agree to deploy, refine or discontinue an unsuitable approach.

Related projects

Computer vision and a custom web dashboard for tracking different flour types across conveyors.

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Computer vision and a custom web dashboard for tracking different flour types across conveyors.

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Before we begin

Do we need to select a model or write a specification first?Can the solution run on our own servers?How do we handle convincing but incorrect answers?

Do we need to select a model or write a specification first?

No. Start with the process and examples of the work. We define the task, available data, staff involvement and evaluation method together before choosing the technical approach.

Can the solution run on our own servers?

Hosting depends on the components, data and available hardware. We discuss local deployment, external services and limitations before selecting a solution. Local deployment is not suitable for every approach.

How do we handle convincing but incorrect answers?

We test agreed examples and failure scenarios. For important actions, we define human review and conditions under which the system must pass the task to a person.

Let’s start with your task

Tell us about the process you want to change. Start with a short email or a call: b_zurgambayev@qoima.com.kz · +7 705 297 53 21.

Discuss your project