---
title: AI integration
url: https://www.haketi.com/services/ai-integration/
date: 2026-09-06T19:27:52+00:00
modified: 2026-09-17T16:33:30+00:00
lang: en_US
---

[All services](/services/)

AI integration

# Put AI to work where it can make a measurable difference.

Haketi helps teams move from scattered experiments to useful, responsible AI features connected to their data, systems, and daily work.

[Discuss your project](/form/start-a-project/) [See what is included](#scope)

Useful automation with people still in control.

The challenge

## When the current approach starts holding you back.

The right engagement begins with the friction your customers and team already feel.

**01**

### Your team sees AI potential but does not know where to begin.

**02**

### Employees repeat time-consuming knowledge and content tasks.

**03**

### Disconnected experiments create more tools without improving the workflow.

What changes

## Work that creates useful momentum.

### Start with the right use case

Evaluate opportunities by value, feasibility, risk, and available data.

### Fit the existing workflow

Integrate AI where people already work instead of adding another isolated tool.

### Build appropriate control

Design review points, permissions, feedback, and monitoring around the risk.

Potential scope

## The capabilities your project can draw from.

Every engagement is shaped around the outcome, so the scope includes only what the work genuinely needs.

- AI opportunity assessment
- Workflow automation
- Knowledge assistants
- Search and retrieval
- Model and API integration
- Custom AI product features
- Data preparation
- Human review systems

How we work

## A clear path from uncertainty to progress.

You stay close to the decisions, see the work taking shape, and always know what comes next.

**01 / Assess**

### Assess

Identify valuable use cases, data needs, constraints, and risks.

**02 / Prototype**

### Prototype

Test the smallest useful workflow with real examples and users.

**03 / Integrate**

### Integrate

Connect the solution to trusted data, tools, and permissions.

**04 / Improve**

### Improve

Monitor quality, gather feedback, and refine performance over time.

How we think

## Principles behind better decisions.

Useful AI begins with a bounded task, trustworthy context, and a clear definition of quality. We design the entire working system around the model, including permissions, review, feedback, and failure handling.

### Value before novelty

A use case must save meaningful time, improve a decision, or enable a better experience.

### Ground output in trusted context

Approved sources and well-designed retrieval can make responses more relevant and verifiable.

### Match control to risk

Higher-impact tasks require stronger permissions, review, testing, and traceability.

### Learn from real use

Feedback and evaluation reveal where prompts, data, interfaces, and policies need improvement.

Ways to engage

## Start with the level of support you need.

Begin with clarity, move into focused delivery, or create an ongoing working relationship.

### AI opportunity workshop

Prioritize practical use cases by business value, feasibility, data readiness, and risk.

### Prototype and evaluation

Build a focused proof of value and test it against realistic tasks and quality criteria.

### Production integration

Connect AI to the appropriate application, workflow, data, permissions, and monitoring.

Related capabilities [Custom software](/services/applications-custom-software/) [UX consulting](/services/ux-design-consulting/) [IT management](/services/it-management/)

Common questions

## Useful answers before we begin.

No polished brief required. We can start with the problem and define the right engagement together.

#### Do we need our own AI model?

Usually not. The right approach may combine established models, your trusted information, clear instructions, and a secure application layer.

#### Can AI connect to our company knowledge?

Yes, when the information, permissions, and privacy requirements support it. We design access and retrieval around the intended users.

#### How do you reduce inaccurate output?

We narrow the task, ground responses in approved sources, add validation and human review where appropriate, and test against realistic cases.

Start a conversation

## Ready to make this work better?

Tell us what is getting in the way, what you want to make possible, and why it matters now.

[Tell us about your project](/form/start-a-project/)