Applied AI for real businesses

We make AI do real work inside your business.

Claude and OpenAI now ship AI apps a small business can install today. The value comes from pointing one at the workflow where it pays off, wiring it to your real data, and getting it right every time — not just in the demo. That last mile is all we do.

We work async. Tell us the business problem you want solved, and we'll figure out how to use AI to solve it.

The opportunity

Off-the-shelf AI can do real work — once it's pointed at the right job and made reliable.

Installing an AI app takes five minutes. The payoff comes from the choices after: which workflow it belongs in, wiring it to your real data, and proving it gets the answer right case after case — not just in the demo. Get those right and a small, well-bounded build does the most work at the least risk, every single time. That's the whole game, and it's what we do.

Our belief

Find the leverage point. Build only that.

We borrow the discipline of process bottleneck-mapping and aim it at AI: pull your real cases, sit with the people doing the work, and find the front-of-workflow point where the information to act already exists — then build exactly that, and leave the judgment to your people.

01

High-frequency

We target the step that happens often enough to matter — not the rare edge case.

02

Human-verified

The AI flags, drafts, and prepares. A human verifies every decision that moves money or carries liability.

03

Measurable

Every engagement ships with numbers: time saved, cases cleared, hours reclaimed.

What we do

From a diagnosis to a system you own.

Start light. Go as far as the results justify.

1
Diagnose

Leverage-Point Audit

We map your workflow, rank the bottlenecks, and hand you a prioritized plan of where AI pays off — with the rough-math on impact. Often worth it on its own.

2
Prove

Pilot Build

The simplest guard-railed solution for your #1 leverage point, tested against your real cases with a clear pass/fail bar.

3
Own

Deploy & Own

Into production, measured against reality, tuned until the value is real — and maintained on retainer.

See how each stage works →

See it concretely

What a leverage-point build actually looks like.

We build worked examples on realistic sample data — real formats, invented companies — so you can see the exact shape of a Shastra build before we touch your workflow.

Example

Quote & Proposal Drafter

Sales rebuilds the same context before every quote. We show the small, guard-railed build that assembles the history and drafts the proposal — while a human still sends it.

Walk through the build →

What business problem do you want solved?

Tell us the recurring process you'd most want working better. We'll figure out how to use AI to solve it — and tell you honestly where it wouldn't.

Get in touch