Build not learn
You leave with the system, not the notes. A GST recon agent, a PDF extractor, an MIS dashboard, a notice-reply agent — all running on your real, redacted files before you log off. No slides to re-read. Working machines to re-run.
Skool of Advanced AI · Protocol 03 — The Close
Become the operator.
Close the month with an agent crew.
For CAs, analysts and finance teams who live in 2B reconciliations, PDF-to-Tally keying and the month-end close. Walk in with your real data. Walk out with the agents, workflows and dashboards that run it — kept forever.
- Live · 2 days
- ~24 seats
- Built on your data
- Kept forever
Application-only. One cohort a month. $500 / Rs 41,500 — no-cost EMI in India.
The bleed
You don't have a knowledge problem. You have a keying problem.
The work that eats your month isn't hard. It's repetitive. GSTR-2B against the purchase register, invoice by invoice, across every client. Bank statement PDFs retyped into Tally one line at a time. The MIS pack rebuilt from scratch. The notice reply researched at midnight. None of it needs your judgment. All of it takes your weekend.
You already poke at ChatGPT for a formula or a draft. It works once, then you do it by hand again next month. Nothing compounds. Nothing is yours to keep.
This protocol fixes that. You don't learn about AI. You build the machines that do the work — on your files, with your numbers tied out, with nothing confidential leaving your control.
GSTR-2B vs purchase register, invoice by invoice, every GSTIN
“Din lag jaate hain” — days per client, and one miss cascades into blocked ITC, notices, interest
Bank statement / invoice / contract-note PDF → Excel → Tally, keyed by hand
Reportedly 20–45 min per statement, plus transposed digits and wrong GL codes
Month-end close → the MIS pack, rebuilt each cycle
Most finance time goes to gathering and admin, not analysis
Variance commentary written after the cognitive budget is gone
The part the board actually reads, rushed
Notice replies (142(1) / 143(2) / GST SCN) with case law
Hours of research per notice, repeated across clients in assessment season
Busy / audit season
70–80-hour weeks are commonly reported; the grind is mostly work AI could absorb
“Aap completely disciplined ho apne end pe — but if your vendor files late or wrong, your 2B simply won't reflect the invoice.”
The grind is automatable. Let's automate it on your data, live.
The shift
Build, not learn. Keep, not rent.
Trust as the product
Every session is genuinely live. Every artifact is delivered. Privacy is Module 0, not a footnote: redact, compute, rejoin — PAN, GSTIN and client names never have to leave your laptop. Zero upsell, ever. Transparent dual pricing. An honored money-back guarantee. We counter-position deliberately against the shallow “AI for accountants” webinar.
Premium restraint as proof
Two weekend days. ~24 seats. One lead instructor, two floor coaches who get to your screen. No fake countdowns, no scarcity theater. The discipline of the room is the proof of the product.
The artifacts
Ten machines. Built on your data. Yours forever.
Each one maps to a real pain. Each one is reusable across every client, every month, after you go home.
01skill + config
Finance AI Trust Charter + redaction Skill (redact → compute → rejoin)
Kills “I can't upload client data to AI”
02skill
PDF-to-structured-data Skill (bank / invoice / contract note → CSV + Tally-XML / Zoho import)
Kills 20–45 min/statement keying
03agent
GST 2B reconciliation agent + exception report + vendor chaser emails
Kills “Din lag jaate hain” invoice-by-invoice 2B recon
04n8n workflow
Bank / ledger reconciliation workflow + GL-coding rules file
Kills Line-by-line recon that gates the close
05skill
Excel / Power Query power-user Skill (+ documents inherited models)
Kills VLOOKUP hell, undocumented inherited models
06dashboard / app
Close-to-report MIS dashboard + variance bridge + auto-deck (chat-with-your-financials)
Kills Rebuilding the pack every cycle
07skill
Variance-commentary Skill (firm tone)
Kills Rushed board narrative
08agent + MCP
India tax-notice-reply agent + case-law/circular retrieval MCP
Kills Hours per notice, hallucinated citations
09workflow + skill
MIS-to-video pipeline (Claude → ElevenLabs → HeyGen → n8n) + firm-branded advisory Skill
Kills “Clients don't read the report”
10dashboard / OS
Practice command-center dashboard + client-chaser, orchestrating all of the above
Kills No tool fits CA deadline + document chaos
machines, kept forever
Model-agnostic · versioned · re-runnable
The flagship
Your Client, Closed by an Agent Crew.
The capstone. One of your real clients — redacted — closed end to end, live, in front of the room. The “din lag jaate hain” monthly close, executed in under an hour, with every number tied out and nothing confidential leaving your control.
Crew running · client closeunder an hour, tied out
01 · Burndown
Open items · this close
Open items128
02 · Tie-out
0%
- Items reconciled
- 0
- Minutes to close
- 0
03 · Recon crew
Extract
Raw bank-statement and invoice PDFs auto-extracted to clean structured data.
Reconcile 2B
GSTR-2B matched against the purchase register → exception report + vendor chaser emails.
Reconcile bank
Bank and ledger auto-reconciled in n8n, unmatched items queued for review.
Close
Trial balance flowed into the MIS dashboard with a variance bridge.
Comment
Board-ready variance commentary drafted in your firm's voice.
Explain
A 2-minute narrated MIS video generated for the client.
Orchestrate
The whole crew triggered and tracked from your command-center, which chases the client for missing docs.
Run on your own data. Redacted at the door. Every total tied to a check-figure. AI proposes, you dispose.
The protocol
Two days. Stop the bleeding, then move up the value chain.
Day 1 — Stop the bleeding
Kill the daily data-entry and reconciliation grind. By lunch you can extract any PDF to clean structured data. By end of day you have a working GST 2B agent, a bank/ledger recon workflow and an Excel power-user Skill — the three things that eat the most hours — all running on your own files. Privacy and accuracy guardrails are baked in from minute one.
Day 2 — Move up the value chain
Turn clean data into advisory output and a practice that scales. Build the MIS dashboard, the variance-commentary Skill, the India notice-reply agent and the MIS-to-video explainer, then wire it all into one command-center capstone. From compliance processor to trusted advisor — credible, board-ready, audit-trailed deliverables in minutes.
The trust layer, and the reason every CA can finally say yes. Live, no-spin teardown of where data actually goes: consumer ChatGPT/Claude vs no-train / enterprise / zero-retention settings, local models, on-device OCR. The hard rule we teach all weekend — redact → compute → rejoin: strip PAN, GSTIN and names to tokens, let AI work on structure, map back locally. Demo: the same prompt run leaky vs redacted, side by side. Then the accuracy doctrine — AI proposes, human disposes; every numeric output ships with a check-figure; never let the model invent a total.
Hands-on Configure no-train settings on your own accounts; run your messiest real file through the redaction Skill and confirm PAN/GSTIN are tokenized before anything leaves the laptop.
model optimizationskillscontext orchestrationThree deliberately ugly real docs — a scanned bank statement, a non-standard vendor invoice, a contract note — extracted live with OCR plus Claude/GPT for field-mapping and GL coding. The model-optimization lesson lives here: when cheap OCR beats an expensive frontier call, and how per-field confidence scores drive a human-review queue. Output: clean CSV plus a Tally-XML / Zoho-import file.
Hands-on Extract your own bank statement and invoice PDFs to a Tally/Zoho-ready file; eyeball the confidence flags.
model optimizationskillsworkflowsThe signature on-real-data demo. Upload a real GSTR-2B JSON + purchase register and build a Claude Code agent live that matches on GSTIN / invoice-no / value / tax, classifies exact-match / value-mismatch / missing-in-2B / missing-in-books / probable late-filer, and outputs a clean exception report. Context orchestration: chunking thousands of invoices, deterministic matching in pandas, LLM judgment only on the fuzzy residual — don't pay a frontier model to compare two numbers.
Hands-on Run the agent on your own client's 2B + purchase register; walk out with this month's exception report and ready-to-send vendor chasers.
agentscontext orchestrationmodel optimizationworkflowsFirst n8n build of the weekend. Adapt a proven community reconciliation template live: ingest bank feed + ledger, auto-match, propose GL codes from history, push unmatched items to a human review queue. Workflow thinking for non-coders — triggers, nodes, error branches, the human-in-the-loop checkpoint.
Hands-on Clone the template into your own free n8n account; run it on your own bank + ledger export for a matched set + exceptions list.
workflowsagentsmodel optimizationBuild a reusable Claude Skill — not one-off prompts — that takes a messy file and returns the formula, the VBA macro, the Power Query M-code, and a documented, cleaned model. Plus a “reverse-engineer and document this inherited model” mode. This is where “I'm not technical” dies: you leave able to generate maintainable, auditable, commented artifacts.
Hands-on Point the Skill at one of your own broken/inherited models; get back a documented, cleaned version plus the M-code/macro to maintain it.
skillscontext orchestrationmodel optimizationDay 2 opens by turning clean data into output. Connect a TB/ledger export and build a parameterized close-to-report dashboard with Claude Code (Python/DuckDB + a lightweight front end): refresh the MIS, build the variance bridge, auto-generate the formatted pack and a deck. The move from “spreadsheet I rebuild” to “app I re-point at any client's data.” Ends Report_Final_REALLY_FINAL with one source of truth.
Hands-on Load your own TB; generate this month's MIS pack + deck; ask the dashboard a real question in plain English.
dashboardingapp developmentplatform developmentcontext orchestrationTwo advisory power-builds. (a) A variance-commentary Skill that turns an actuals-vs-budget table into board-ready narrative in your firm's tone, auto-detecting the biggest drivers. (b) An India notice-reply agent: paste a 142(1)/143(2)/GST SCN, it classifies the notice, retrieves relevant sections / CBDT circulars / case law via a lightweight RAG over your own library (MCP-connected), and drafts a structured, citation-backed reply for review. MCPs and context orchestration so the model cites your sources, not hallucinated ones — the direct answer to the hallucination objection.
Hands-on Generate real variance commentary on your own numbers; draft a citation-backed reply to your own sample notice; review and edit.
skillsagentsMCPscontext orchestrationmodel optimizationThe wow that wins referrals: auto-convert the month's MIS into a 2-minute narrated video an SMB owner actually watches. Built live — Claude writes the script from the numbers, ElevenLabs voices it, HeyGen produces the avatar walkthrough, n8n stitches and delivers. Plus a firm-branded client-deliverable Skill for engagement letters, fee proposals, advisories and tax-planning notes. Keep numbers verified before they're spoken on camera.
Hands-on Produce a short narrated MIS video from your own pack; generate one real client advisory in your firm's voice.
workflowsskillsapp developmentWire the weekend together. Build a command-center (Airtable/Sheets + n8n + Claude Code) that tracks every client's GST/TDS/ITR/ROC deadlines and document status, auto-chases clients on WhatsApp/email, and triggers the Day-1/Day-2 agents per client. Then the durability playbook: where each artifact lives, how to version it, how to update prompts when models change (model-agnostic design), and the 30-day post-cohort support + office-hours plan so nothing rots.
Hands-on Stand up your command-center with your real client list; trigger one end-to-end run for one client — docs in → extracted → reconciled → reported → video out.
agentsworkflowsdashboardingMCPsplatform developmentcontext orchestration
Fit check
Built for operators, not spectators.
This is for you if
- You're a CA in practice — solo or small/mid firm — drowning in GST/TDS/ITR/ROC across many clients.
- You're a Big-4 or mid-tier audit associate surviving busy-season weeks you'd rather not name.
- You own month-end close, the MIS pack or the board deck in a corporate finance / FP&A seat.
- You're a fractional or outsourced CFO / bookkeeping operator serving multiple SMB clients.
- You already poke at ChatGPT for formulas and drafts, and you want durable automations you can run forever.
This is not for you if
- You want a recorded course to watch later. This is fully live, hands-on, on your data.
- You want a tool you buy and forget. You build and keep the machines yourself.
- You can't bring real (or realistically anonymized) working files. The whole point is your data.
No coding background assumed. If you can build a pivot table, you can build these.
Before day 1
Come loaded. Day 1 starts on the work, not the setup.
Bring your real (or realistically anonymized) files
- One client's GSTR-2B JSON + purchase register
- 2–3 sample bank-statement / invoice PDFs
- One trial balance or ledger export
- One actuals-vs-budget table
- One tax-notice PDF
Setup pack (sent 5 days out)
- Laptop (Windows or Mac) with admin rights; Excel or Google Sheets
- Claude Pro or Claude Code access
- ChatGPT / OpenAI account
- Free n8n cloud account
- ElevenLabs + HeyGen trial logins
- Python via our one-click installer
- A 30-minute pre-recorded “zero-to-ready” video that handles every install
- The anonymization / redaction template — so no real client PII or PAN/GST data leaves your machine where you don't want it to
If your install breaks, a coach fixes it before Day 1. You start on the work.
The guarantee
We made trust the product.
Every session is live
No pre-recorded “live” replays. One lead instructor, two floor coaches on your screen.
Every artifact is delivered
You leave with ten working machines on your data — or we haven't done our job.
Privacy is Module 0
Redact → compute → rejoin. PAN, GSTIN and client names never have to leave your laptop.
Zero upsell, ever
$500 is the whole price. No back-end “mastermind,” no upgrade funnel.
Transparent dual pricing
$500 USD / Rs 41,500 INR, stated plainly — the same fair price in each market, set deliberately per currency.
Honored money-back guarantee
If Day 1 doesn't deliver on the promise, tell us by the first break on Day 2 for a full refund.
The accuracy doctrine
In finance, a wrong number is a liability. So we hard-wire it: AI proposes, human disposes. Every numeric output ships with a check-figure. We never let the model invent a total.
Built with professional-ethics boundaries in mind — AI assists drafting and analysis; judgment and attest responsibility stay with you.
The math
One reclaimed busy-season weekend pays for the seat.
You don't have to believe a productivity statistic. Do your own math. Price one weekend of your time during busy season — the 2B recon, the keying, the close, the notice replies. If these machines give that weekend back even once, the seat has paid for itself. From there it compounds, every month, across every client.
$500 / Rs 41,500 once · kept forever · re-run every close
Industry surveys suggest most finance time goes to data-gathering and admin, not analysis. This protocol is about giving that time back — and keeping it.
Apply
Application-only. ~24 seats. One cohort a month.
The seat
$500Rs 41,500
No-cost EMI in India- India payments
- Razorpay / UPI + no-cost EMI
- What’s included
- 2 live days, two floor coaches, all ten artifacts, 30-day support + office hours
- Cohort
- skaai Protocol 03 — The Close
No fake countdowns. No scarcity theater. When the ~24 seats are taken, the next cohort opens.
How it works
Apply
A short application. We read every one.
Accept
On acceptance, you get a private checkout link.
Pay
$500 / Rs 41,500. No-cost EMI in India.
Prep
Setup pack 5 days out; install video; bring your files.
Build
Two live days. You leave with the machines.
Straight answers
The objections, answered.
That's Module 0, and it governs the whole weekend. We teach redact → compute → rejoin: strip PAN, GSTIN and names to tokens, let AI work on structure, map back locally. You also configure no-train / enterprise / zero-retention settings on your own accounts. Your messiest real file goes through the redaction Skill before anything leaves the laptop.
You don't trust it blindly — that's the point of the accuracy doctrine. AI proposes, you dispose. Every numeric output ships with a check-figure and a tie-out. For notice replies, the agent cites your Act/circular library via an MCP, not invented case law.
Yes. The demos use Indian-context tools and formats: GSTR-2B JSON, Tally-XML / Zoho import, real Indian bank-statement PDFs. You build on your own files, so it works on your stack by construction.
No coding background is assumed. You build Skills, agents and workflows you can read and edit, and the durability playbook shows you how to update them when models change. The Excel module exists precisely to retire “I'm not technical.”
It's a one-time price for ten reusable machines you keep forever and re-run every close. Price one busy-season weekend of your time; if these give it back once, the seat is paid. No-cost EMI is available in India.
Those sell. This builds. Everything is live and on your real data — the instructor builds new agents from scratch in front of you, and you leave with working artifacts, not a recording.
We design model-agnostic and teach the durability playbook: versioning, a prompt-update routine, and 30 days of support + office hours. You learn the operator skill, not one disposable tool.
That's the trade: one weekend now to stop losing weekends every month. The flagship runs a full client close in under an hour — that's the time you're buying back.
PROTOCOL 03 — THE CLOSE
The close runs itself now. Become the operator.
Bring your real data. Leave with the crew that closes the month. skaai Protocol 03 — The Close.
Live · ~24 seats · kept forever · $500 / Rs 41,500