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AI-Integrated Software

AI features built into the software you already run, grounded in your own data.

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Typical timeline4–10 weeks
EngagementFixed scope or monthly retainer
ToolingOpenAI, Anthropic, open-source models, vector search
AI Solutions

AI-Integrated Software, explained.

AI-Integrated Software is existing or new software with AI capabilities built into its everyday screens and workflows: answering questions over your own data, summarising long records, drafting replies, or pulling structured fields out of documents. It matters because AI is most useful inside the tools people already use, not in a separate chat window they have to remember to open.

Esscentra adds AI features to web, mobile and desktop software using retrieval over your own data, so answers come from your documents and records rather than the model's general knowledge. We pick the model for each task on quality and cost, test outputs against real examples before launch, add guardrails for accuracy and safety, and monitor usage and spend once it's live so the feature stays reliable and within budget.

The result is software that saves people time inside the work they already do. It fits product teams adding AI to a SaaS product, businesses wanting smarter search across their own documents, and companies that tried a quick AI integration and hit accuracy or cost problems.

Who it's for

Built for teams like these.

  • 01

    SaaS products adding AI search, summaries or drafting for their users.

  • 02

    Teams that spend hours searching documents, tickets or records for answers.

  • 03

    Businesses whose staff re-type data from PDFs, emails or forms.

  • 04

    Companies whose first AI integration was unreliable or too expensive to run.

How we work

5 steps, from first call to launch.

  1. 01

    Use case & data review

    We pick the tasks where AI saves real time and check what data the feature needs.

  2. 02

    Evaluation set

    We collect real examples and define what a good answer looks like before building.

  3. 03

    Build & integrate

    We build retrieval, prompts and the in-product interface, inside your existing software.

  4. 04

    Guardrails

    We add checks for accuracy, safety, permissions and spend limits.

  5. 05

    Launch & monitoring

    We release to users and track quality, usage and cost, improving from real feedback.

What you get

Delivered, documented, yours.

  • AI features live inside your software
  • Retrieval index over your approved data sources
  • Evaluation set and quality report
  • Usage, cost and quality dashboard
  • Guardrail and permission configuration
  • Documentation for prompts, models and settings
Technologies we use

Our usual stack.

We confirm the final choice with you during scoping.

  • System design
  • OpenAI
  • Claude
  • Gemini
  • LangChain
  • Python
  • FastAPI
  • PostgreSQL
  • React
Questions

Questions about AI-integrated software.

Can you add AI to software we already have?
Yes. We integrate AI features into your existing web, mobile or desktop software through its current codebase or APIs, so users get them in the screens they already use.
Will the AI make things up?
We reduce that risk by grounding answers in your own data, showing sources, and testing against real examples before launch. Where a wrong answer is costly, a person reviews the output.
Is our data used to train public models?
No. We use providers and settings that don't train on your data, and keep access limited to the sources you approve.
How do you control AI running costs?
We choose the right model for each task, cache repeated work, and set spending limits and alerts, so monthly costs stay predictable.
How much does it cost?
You get a fixed-price proposal after a free discovery call, based on the features, the data involved and the systems to integrate.

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