Lusin powers the Autonomous Advisory Practice. Your bookkeepers keep the client relationship and layer advisory on top — while three AI agents reconcile across systems, auto-build the dashboards, and carry the audit trail.
| Client | Systems | Δ | Status |
|---|---|---|---|
| Helios LLC | QBO ↔ Bill.com | −$8.4K | Break |
| Northwind Inc | Gusto ↔ QBO | −$1.2K | Review |
| Aster Holdings | QBO ↔ Lacerte | $0 | Cleared |
| Brigid Co | Stripe ↔ QBO | $0 | Cleared |
| Delta Robotics | QBO ↔ Ramp | −$340 | Reviewing |
The hardest thing in accounting isn't booking transactions. It's catching the breaks across QBO, Bill.com, Gusto, Lacerte — before tax season finds them for you.
Lusin is an end-to-end AI platform built for accounting firms. It sits on top of your day-to-day stack — QuickBooks, Bill.com, Gusto, Ramp, Lacerte/UltraTax — detecting cross-system breaks, auto-building client dashboards, and turning your bookkeepers into advisors.
Bookkeepers use it daily to clear reconciliation queues, surface anomalies, and walk into client calls with the dashboard already built. Owners watch the firm in real time — every client's health, every bookkeeper's utilization, every advisory dollar billed.
| Metric | This mo | Δ MoM |
|---|---|---|
| Revenue | $184.2K | +12% |
| Gross Margin | 62% | −2pp |
| Burn | $28.4K | +8% |
| AR > 60d | $31.0K | +44% |
From the first bank-feed sync to the partner P&L close-out — every step happens inside Lusin. Nothing to copy-paste. No more rebuilding M-1 adjustments in Excel.
One milestone at a time. The first module goes live on your real client books within a few weeks — before any long commitment.
You're one 20-minute call away from seeing the breaks across your client books.
Book the intro call →The same Lusin architecture is already live inside a 25-person NYC executive search firm. The recruiting workflow is different — the platform underneath is the same one we're now building for accounting.
Before Lusin, Glocap's cold outreach to new prospects landed in the 1–3% reply range. With Lusin's signal layer scoring leads against their ICP, replies climbed to ~30%.
Same team. Same hours. Different signal. That's the same architecture — pattern detection, scoring, workflow integration — we're applying to bank-feed breaks, GL anomalies, and advisory triggers in accounting.
"The signals are different. The system that catches them is the same."
In recruiting, the signal is "this company just raised — and is hiring." In accounting, it's "Bill.com and QBO disagree by $8K — and nobody noticed." Both need the same plumbing: a read-only ingest layer that pulls from every system the firm runs on, scores anomalies against your patterns, and surfaces them before they bite. We built it once. Now we're applying it to accounting firms.
Each engagement starts with a 20-minute call, then a scoped build wired to your firm's actual stack. Pricing is tied to scope and outcomes — not seats.
Five people. Each engagement has a founder and a senior engineer assigned end-to-end. No account managers. No layers. No handoffs.





Karbon Kai lives inside practice management. Basis targets the top-25 firms. Lusin lives between them and the client's QBO/Lacerte/Bill.com — the cross-system reconciliation layer neither of them touches. We integrate; we don't replace.
Yes — and firms already on close-management are our strongest-fit profile. FloQast and BlackLine handle your formal close; Lusin catches the breaks before close — at the QBO/Bill.com/Gusto layer where they originate. Complementary, not competitive.
After the intro call, we propose a scoped 90-day build with clear deliverables. Pricing is tied to scope, not seat licenses. Once the platform is live, ongoing pricing is per-seat ($30–60/user/month) or value-based on new advisory revenue you generate through the platform.
Tenant-per-firm logical isolation at the database layer; encrypted-per-client. Inference runs on Azure OpenAI / AWS Bedrock tenants — never the public OpenAI API. No cross-tenant model training under any circumstance. SOC 2 Type II in progress. Full export window on churn, written into MSA.
Managed access layer replaces bookkeepers logging into client QBO with personal credentials — closing the E&O gap insurers are about to force-solve. GLBA Safeguards-compliant architecture. Model §7216 consent language provided. Every AI output requires CPA review before client delivery.
Yes. DAS handles formal assurance workflows; Lusin operates upstream — pre-engagement risk surfacing, post-audit QR, advisory delivery. Position complementary, not competitive. AICPA-aligned firms can deploy both.
Book 20 minutes with Nicolas. We'll walk through your client base, your stack, and what a custom build looks like for you.