Engineer Codewala
EngineerCodewala
AI Features That Save Real Work — Not AI for Its Own Sake
Industry · AI-powered products

AI Features That Save Real Work — Not AI for Its Own Sake

The best AI projects start with a boring, expensive task: reading invoices, answering the same support questions, searching old documents. We build AI features that take that work off your team, with the checks needed to trust the output.

Assistants on your dataDocument extractionSmart searchHuman-in-the-loop
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Where AI usually pays off first

Support

Answer FAQs from your help docsWith handoff to a human
Draft replies for agents

Documents

Extract fields from invoices, POs, KYCInto your ERP or sheet
Summarise contracts and reports

Sales

Qualify inbound leadsScore and route
Draft proposals from templates

Operations

Search across old files and emails
Classify tickets and requests

Guardrails we build in

  1. Grounded answers. Assistants answer from your approved documents and show sources, instead of guessing.
  2. Confidence and review. Low-confidence extractions go to a human queue rather than straight into your system.
  3. Access control. Users only get answers from documents they're allowed to see.
  4. Cost control. Model choice, caching and limits so usage bills stay predictable.
  5. Evaluation. A test set of real questions or documents to measure accuracy before and after changes.

Adding AI to an existing product

Most of our AI work is inside products that already exist — a SaaS dashboard that gets a 'summarise this' button, a CRM that drafts follow-ups, an HR tool that screens resumes. We integrate with your stack and data rather than building a separate AI app your users have to learn.

We also run our own AI product, IntervioAI, so we deal with the same model, cost and quality trade-offs every day.

How an AI project runs

  1. Week 1
    Pick one task

    Choose a narrow, measurable task and collect 50–200 real examples.

  2. Week 2–3
    Prototype and measure

    Build the pipeline and score it against the examples.

  3. Week 4–6
    Integrate with review

    Plug into your product with a human review step for low-confidence cases.

  4. Ongoing
    Improve

    Track corrections, add them to the test set and improve prompts or models.

Frequently asked questions

Which AI models do you use?

We choose per task — hosted models from major providers or open models where data must stay in your environment.

Is our data used to train models?

We use provider settings and deployments that don't train on your data, and can host models privately where required.

What does an AI feature cost?

Cost depends on your features, users and integrations, so we don't publish fixed prices. Share your requirements and we'll send a detailed quotation with scope and timeline — usually within 24 hours.

Want to know the cost?

Every project is different, so we don't publish fixed prices. Share your requirements and get a free, detailed quotation with scope and timeline.

  • Free, no obligation
  • Reply within 24 hours
  • Feature-wise scope & timeline

Related

Schedule Meeting

Tell us about your idea

Share your users, must-have features and timeline. We'll suggest what to build first and share a clear, phased delivery plan.

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Scope clarityArchitecture-first planningReply within 24 hrsIndia, UAE & US delivery
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