AI Solutions

Applied where it actually helps, skipped where it doesn't. Practical AI, no magic promises.

What we build

  • Chat assistants

    Support bots that actually answer, trained on your docs.

  • Workflow automation

    Repetitive work handed to machines, checked by people.

  • Document processing

    Invoices, forms and PDFs read and sorted automatically.

  • Smart search

    Ask your own data questions in plain language.

  • Integrations

    AI wired into the tools you already use.

  • AI strategy & audits

    Where AI helps your business, and where it's hype.

How we build it

Small proof first, real investment only after it works.

  1. 1

    Discover

    We map your workflows and find where hours actually go. No AI for AI's sake.

  2. 2

    Prototype

    A small working proof on your real data within weeks. You judge results, not slides.

  3. 3

    Build

    The prototype becomes a reliable tool with guardrails, logging and human checks.

  4. 4

    Run & improve

    We monitor accuracy and costs, tune as models improve and stay honest about limits.

Always included

Not add-ons. Every engagement ships with these.

  • Prototype first

    A small working demo first, so you judge it before committing.

  • Your data stays yours

    Nothing is used to train outside models or shared with anyone.

  • Human review

    A person checks the outputs on decisions that carry risk.

  • Costs quoted up front

    You know the monthly bill before anything goes live.

  • Guardrails built in

    Checks that catch bad outputs before your customers see them.

  • An honest no

    If a plain script does the job better, we say so.

What we build with

The right model for the job, never the loudest one.

Claude, Gemini, n8n, Zapier
  • OpenAI
  • RAG pipelines
  • Custom APIs

Fair questions

Will AI actually save us money?

Sometimes no, and we say so in the first call. When it fits, the win is hours saved on repetitive work, and we estimate those hours before you commit.

Is our data safe?

Your data stays in your accounts and is never used to train public models. We put that in writing.

What about wrong answers?

Every build ships with guardrails: sources cited, confidence limits and human review on anything important. AI drafts, people decide.

How much does it cost to run?

Model costs are quoted up front and usually land in the tens to hundreds of dollars a month, not thousands. You see the meter, always.

Wondering if AI fits?

Describe the busywork. First call is free and useful either way.

Mithila style painting of a woman in a sari talking on a phone