Use case · Companies

Integrate AI into your business.

Everyone is told to use AI. Few teams know where it actually pays off, or how to wire it into what they already run. Deeraf finds the right places, builds it properly and keeps it accurate.

Sounds familiar?

  1. 01Leadership wants AI, but nobody owns making it real
  2. 02A chatbot demo impressed everyone and never shipped
  3. 03Teams paste company data into consumer AI apps
  4. 04Your product's competitors are adding AI features
  5. 05Nobody can say what AI would cost or save

How Deeraf handles it.

  1. 01

    Find the value

    Map workflows and data, then rank AI use cases by impact, risk and effort.

  2. 02

    Integrate

    Build the feature, assistant or automation into your product and tools, tested on real examples.

  3. 03

    Measure and run

    Track accuracy, cost and usage in production, and improve as models change.

The result

AI that does real work inside your business, measured.

Start a Build Sprint
Start with1–3 weeks

Build Sprint

Fixes, MVPs, AI, site speed and internal tools. Shipped.

From $3,200

Questions.

Which AI providers do you work with?

The major model providers, the models offered inside AWS, Google Cloud and Azure, and open models you can host yourself. The choice depends on your data, quality needs and budget, not on a partnership.

Is our data safe?

Integrations use business API terms that don't train on your data, your own cloud account, or self-hosted models when data must never leave your servers. Sensitive fields can be redacted before any model sees them.

Can AI work with our existing software?

Usually. Most business tools have APIs, webhooks or exports. The Tech Check confirms what's possible with your stack before you commit to a build.

How do we know it's working?

Every integration ships with a test set of real examples and production metrics: accuracy, cost per task and how often people override it.

Further reading