AI Automation & Integration Services

AI automation that does real work.

We turn repetitive, document-heavy, and decision-heavy work into dependable AI workflows — built around your data, your tools, and the people who review the results.

What we build

Where AI earns its place.

We start with a task worth automating, then choose the simplest AI approach that handles it reliably.

AI assistants & copilots

Assistants that answer questions, draft responses, and guide people through tasks inside the tools they already use.

Document & data extraction

Pull structured data from emails, PDFs, forms, and images so it can flow into your systems without retyping.

Workflow automation

Connect AI steps to your existing apps so routine work moves forward automatically, with people approving what matters.

LLM features in your product

Add search, summarisation, classification, or generation to an existing web or mobile product.

Answers from your own knowledge

Retrieval over your documents, policies, and records so answers are grounded in your information, not guesses.

Evaluation & guardrails

Test sets, structured outputs, and review steps that make AI behaviour measurable before and after launch.

Is it right for you?

A good fit when…

  • Your team spends hours moving information between inboxes, documents, and spreadsheets.
  • You want to add AI features to a product that already has users.
  • An AI prototype works in a demo but is not reliable enough for daily use.
  • You need control over accuracy, cost, and where your data goes.

How we work

Clarity before complexity.

A short path from an idea to an AI workflow you can measure and trust.

  1. 01

    Find the task

    Pick a workflow with a clear outcome and real examples we can test against.

  2. 02

    Prove it

    Build a small prototype on your own data and measure how well it performs.

  3. 03

    Integrate

    Connect it to your systems with review steps, logging, and sensible fallbacks.

  4. 04

    Improve

    Monitor real use, expand test coverage, and refine as needs change.

In practice

Built by Kograi: Jawan Fitness

Our own iPhone app uses AI to estimate calories and macros from a meal photo or a short description, then lets people review and correct the result before saving it.

See Jawan Fitness

FAQ

Common questions.

Which AI models do you work with?

We choose the model for the task — hosted models from providers such as Anthropic, OpenAI, and Google, or open models when data needs to stay in your own environment. Integrations are designed so the model can be changed later.

Can AI automation work with the tools we already use?

Usually, yes. Most automations connect through APIs to email, spreadsheets, CRMs, databases, and internal systems, so your team keeps working where it already does.

How do you keep AI output accurate?

We test against real examples from your work, use structured outputs where possible, add human review for high-impact steps, and monitor results after launch.

What happens to our data?

We design around your requirements: sending only what a task needs, choosing providers and settings that match your privacy obligations, and keeping processing in your environment when that is required.

More from Kograi

Most projects combine more than one. We handle AI, product, and backend work as one team.

Have a project in mind?

Let’s make it useful.

Tell us what you are trying to build, improve, or automate.

Start a conversation