AI & Security Consulting for consulting & accounting firms

AI that has to be right,
not just impressive.

Sabouri.org designs, builds and secures self-hosted agentic AI for consulting and accounting firms that cannot put client files, ledgers or privileged work in someone else's cloud. Retrieval, deterministic computation, document generation and fail-closed access control — on your own hardware, with zero external API calls.

Principal: Pouyesh Sabouri 22 years in production infrastructure & security 9× Fortinet · CCNP · PCNSE
302kIndexed KB chunks, live
262kToken context in production
8–96 GBVRAM — right-sized, no cloud
207Automated test files
29Deterministic finance recipes
0Bytes leaving the building

Headline figures are from our current production system. We've been shipping self-hosted AI for years — on hardware from 8 GB consumer cards to 96 GB GPUs, sized to the workload, never to a cloud bill.

The market problem

Everyone can demo an agent. Almost nobody can operate one.

A retrieval-augmented agent takes about two weeks to demo and about a year to make trustworthy. The gap between those numbers is where projects lose client confidence and quietly get shelved — because production breaks through a finite set of failure modes that all look like the system working: a confident answer, a clean citation, a plausible number. Nothing throws. The client finds it.

We've already hit those failures, diagnosed them against real data, measured the fix, and shipped it — so your first client engagement isn't where you learn them.

RAG that cites only what it can prove Numbers computed in code, never by the model Fail-closed per-client access On-prem, no external API

How we build

Vibe coding gets you a demo. Engineering gets you a system.

The difference isn't taste — it's whether anyone can tell a tuning win from a lucky sample, and whether a figure on a board deck can be traced to the row it came from.

Vibe coding

  • Prompt until the demo looks right, ship the vibe.
  • Let the model compute the number — a different one each run.
  • Ask the model whether it cited correctly.
  • Cap a timeout to kill a symptom; never say you did.
  • Find the failure in front of the client.

How we work

  • Build the scoring corpus first — known-good answers, including the ones it must refuse.
  • Deterministic computation in code for anything presented as a figure.
  • Citations verified programmatically — reachability, in-range, freshness.
  • No cap, floor or timeout without a named, visible decision.
  • We write the code, run it in production, and get paged when it's wrong.

Yes — AI wrote much of this platform, and much of this page. Under engineering discipline: tests first, measured thresholds, every change reviewed. That's the entire thesis. Ungoverned, these tools produce the six failures on the Proof page; governed, they produce a system you can put in front of a client's books. We sell the governance.

What we do

Two practices, one discipline.

For consulting firms standing up an AI practice without burning the first client engagement learning the hard failures — and for accounting and professional-services firms that want AI over their own ledgers, workpapers and correspondence without any of it leaving the building.

Fair questions

The objections we'd raise if we were you.

A pitch that only lists strengths is a pitch you can't trust. Here are the hard ones, answered straight.

“You've done this once.”

We've built self-hosted AI for years, across hardware from 8 GB to 96 GB — the figures here are the current system, not the first. One production build a client runs daily beats ten demos, and the six failures on Proof are exactly what depth buys that a portfolio of pilots never will. The engagement puts your engineers in the code, so you buy a capability, not a dependency on our sample size.

“It's one person — what's our bus factor?”

You own the system, the tests and the reasoning behind every threshold. No licence, no lock-in, nothing that lives only on our calendar. The hand-over and fractional-lead models exist precisely so the capability survives us — it lands in your team, which is the design goal, not a risk we're hiding. And every build ships with an embedded self-coder that handles the day-to-day questions and routine fixes itself: we're your Tier 3, not your help desk.

“You sell security products by day — is this independent?”

Vendor-neutral by construction. Everything we build runs on open components you host yourself; there's no product resale and no referral fee. The certifications are depth, not a sales channel — the security opinion is the deliverable, and we'll put the vendor-independent version of it in writing.

“On-prem means we babysit a GPU and a stack of containers.”

Right-sized to your actual workload — an 8 GB card for a small firm, more when it earns it — delivered with a runbook and your engineers trained to operate it, plus an optional retainer for design authority. For privileged work, on-prem isn't a preference; it's the entry requirement, and we make it operable, not just private. The built-in self-coder answers and fixes routine issues in place, with Sabouri.org on tap as Tier 3 and continued-assurance for the rest.

“Who's accountable when a figure is wrong?”

Every figure is computed deterministically and shows its work; the system refuses rather than guesses when it can't; and a qualified professional stays in the loop as the signer. It's a reviewed tool inside your existing accountability — not an oracle you're asked to trust. Numbers are computed, not narrated.

“Did you just vibe-code this?”

In part — and that's the point. AI wrote much of the platform and this page, under tests, review and measured thresholds. Governed, these tools build something you can defend in front of a regulator; ungoverned, they build the six failures. Governance is the product.

The honest version

You'll build this capability eventually. The question is who pays for the education.

The demand is already in your pipeline. The only real question is whether your first client engagement is the thing that teaches you the expensive failures — or whether you've already got someone who has paid for that education.