Build not learn
You leave with the system, not the notes: a 2B agent, a PDF extractor, an MIS dashboard, a notice-reply agent — re-runnable every close.
Skool of Advanced AI · Protocol 03
Every month, the same close, rebuilt by hand.
This weekend, build the system that does it.
Your 2B reconciliation, keying, MIS pack and notice reply — built live on your redacted files, still running next close.
25 of 25 seats left
- Live · 2 days
- 25 seats
- Built on your data
- Kept forever
Application-only. One cohort a month. $500 / ₹41,500 — no-cost EMI in India.
The audit
Every AI tool is already on the firm's card. The close still starts blank.
What eats the month isn't judgment. It's GSTR-2B against the purchase register, invoice by invoice, every GSTIN. Bank PDFs retyped into Tally. The MIS pack rebuilt from the same five exports. The notice reply researched after everyone's gone home.
You already use AI for a formula, a draft, a second opinion on a clause. It works, you close the tab, and nothing you built last month is waiting this month.
You don't sit through a session on AI in accounting. You build the machines that match, key and draft — on your own files, every total tied to a check-figure.
GSTR-2B against the purchase register, invoice by invoice, every GSTIN
One miss becomes blocked ITC, then a notice, then interest — you find it by reading every line
Bank statements, invoices and contract notes keyed into Tally by hand
The month's most repetitive work, repeated per client, with a transposed digit waiting in it
Month-end close, then the MIS pack, rebuilt from the same five exports
From scratch each cycle, because last cycle's version was never reusable
Variance commentary written last, after the data wrangling
The part the board actually reads, written on whatever attention is left
Notice replies — 142(1), 143(2), a GST show-cause — researched from the Act up
The same research again for the next client, all through assessment season
Busy season
Weeks one client deep, and almost none of it needed your judgment
You can be perfectly disciplined at your end. If the vendor files late, your 2B won't show the invoice — and you find it one line at a time.
The finding is the part you hand over. The judgment stays yours.
The shift
What you keep when the weekend ends.
Trust as the product
Every session live. Every artifact delivered. Privacy is Module 0: redact, compute, rejoin — PAN, GSTIN and client names stay on your laptop. Zero upsell.
Premium restraint as proof
Two weekend days. 25 seats. One lead instructor, two floor coaches on your screen. The cap is what two coaches can reach.
The artifacts
Ten machines. Built on your files. Yours.
Each kills a job on the ledger above, and re-runs next month for every client on your list.
01skill + config
Finance AI Trust Charter + redaction Skill
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 Keying statements into Tally by hand
03agent
GST 2B reconciliation agent + exception report + vendor chaser emails
Kills Invoice-by-invoice 2B recon across every GSTIN
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 the rest
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 real client, redacted, closed end to end in front of the room. The close that eats your weekend, run in one session, every number tied to a check-figure.
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 extracted to 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
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
Kill the keying. Then build what it blocked.
Day 1 — Kill the keying
The data-entry and reconciliation grind goes first. By lunch, any PDF becomes structured data. By day's end: a GST 2B agent, a bank-and-ledger recon workflow and an Excel Skill, running on your files.
Day 2 — Build the advisory side
Clean data becomes output a client actually reads. Build the MIS dashboard, the variance Skill, the notice-reply agent, the MIS-to-video explainer — then wire them into one command center. Audit-trailed deliverables that regenerate each close instead of being rebuilt.
The trust layer, and the reason a CA can say yes to any of this. Where your data actually goes: consumer ChatGPT and Claude versus no-train, enterprise and zero-retention settings, local models, on-device OCR. Then the weekend's rule — redact, compute, rejoin: strip PAN, GSTIN and names to tokens, let the model work on structure, map back locally. Demo: the same prompt, leaky and redacted, side by side.
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.
model optimizationskillscontext orchestrationThree ugly real documents — a scanned bank statement, a non-standard vendor invoice, a contract note — extracted live with OCR plus Claude or GPT for field-mapping and GL coding. The model-optimization lesson: when cheap OCR beats a frontier call, and how per-field confidence scores drive a human-review queue. Output: CSV plus a Tally-XML or 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 build. Upload a real GSTR-2B JSON and purchase register, then build a Claude Code agent live: it matches on GSTIN, invoice number, value and tax, classifies each row — exact match, value mismatch, missing in 2B, missing in books, probable late-filer — and writes the exception report. Chunking thousands of invoices, deterministic matching in pandas, model judgment only on the fuzzy residual — you don't pay a frontier model to compare two numbers.
Hands-on Run the agent on your own client's 2B + purchase register; leave with this month's exception report and vendor chasers.
agentscontext orchestrationmodel optimizationworkflowsFirst n8n build of the weekend. Adapt a community reconciliation template live: ingest bank feed + ledger, auto-match, propose GL codes from history, push unmatched items to a 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.
workflowsagentsmodel optimizationA reusable Claude Skill, not one-off prompts: hand it a messy file and get back the formula, the VBA macro, the Power Query M-code and a documented, cleaned model. Plus a mode that documents a model you inherited from someone who left. This is where “I'm not technical” stops being true.
Hands-on Point the Skill at one of your own inherited models; get back a documented version plus the M-code to maintain it.
skillscontext orchestrationmodel optimizationConnect a trial-balance or ledger export and build a parameterized close-to-report dashboard with Claude Code (Python and DuckDB behind a light front end): refresh the MIS, build the variance bridge, generate the pack and the deck. The move from a spreadsheet you rebuild to an app you re-point at any client's data. Report_Final_REALLY_FINAL stops existing.
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 builds. A variance-commentary Skill turns an actuals-versus-budget table into board-ready narrative in your firm's tone, finding the drivers itself. A notice-reply agent takes a 142(1), a 143(2) or a GST show-cause, classifies it, retrieves the sections, CBDT circulars and case law from your own library over MCP, and drafts a citation-backed reply for you to review. That MCP answers the hallucination objection: the model cites your sources or nothing.
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 month's MIS as a short narrated video an SMB owner will actually watch. 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 Skill for engagement letters, fee proposals, advisories and tax-planning notes. Numbers are 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 or Sheets, n8n, Claude Code) that tracks every client's GST, TDS, ITR and ROC deadlines and document status, chases clients on WhatsApp and email, and triggers the Day 1 and Day 2 agents per client. Then the durability playbook: where each artifact lives, how to version it, how to update prompts when models change, plus 30 days of support and office hours.
Hands-on Stand up your command-center with your real client list; run one client end to end — docs in → extracted → reconciled → reported → video out.
agentsworkflowsdashboardingMCPsplatform developmentcontext orchestration
Fit check
The room this is built for.
This is for you if
- You're a CA in practice, solo or small firm, carrying GST, TDS, ITR and ROC across a long client list.
- You're a Big-4 or mid-tier audit associate and busy season is the reason you're reading this.
- You own the month-end close, the MIS pack or the board deck in an FP&A seat.
- You're a fractional or outsourced CFO running the books for several SMB clients at once.
- You already use ChatGPT for a formula or a draft, and you want something that re-runs every month.
This is not for you if
- You want a recording to watch later. Every session is live, on your files.
- You want a tool you buy and forget. You build these yourself, and you maintain them.
- You can't bring real or realistically anonymized working files. Your data is the whole point.
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.
Bring your real (or 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 “zero-to-ready” install video
- The anonymization / redaction template — so no client PAN/GST data leaves your machine
If your install breaks, a coach fixes it before Day 1.
The guarantee
What we promise, and what each one means.
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 own files, 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 / ₹41,500 INR, stated plainly. Set deliberately per market, not converted.
Honored money-back guarantee
If Day 1 doesn't deliver, 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 the rule is hard-wired: AI proposes, you dispose. Every numeric output ships with a check-figure.
Built inside professional-ethics boundaries: the machines draft and analyze. Judgment, sign-off and attest responsibility stay with you.
The trade
List the close work only you can do.
Write it down and most of the list isn't judgment. It's matching, keying, formatting and chasing — work that carries your name because nothing else was built to hold it. That's what moves onto the machines this weekend. Judgment, sign-off and the client relationship stay yours.
$500 / ₹41,500 once · kept forever · re-run every close
Open your last close and mark the parts that needed your judgment. Everything unmarked is what you hand over.
Apply
Application-only. 25 seats. One cohort a month.
The seat
$500₹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 countdowns. No scarcity theater. When the 25 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 / ₹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. Redact → compute → rejoin: strip PAN, GSTIN and names to tokens, let AI work on structure, map back locally. You also configure no-train and zero-retention settings on your own accounts.
You don't — that's 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 own Act/circular library over MCP, not invented case law.
Yes. The demos use Indian 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. The durability playbook covers updating them when models change.
One price, once, for ten machines you keep and re-run every close, for every client on your list. Nothing is metered, and there's no back-end program to buy. No-cost EMI in India.
Those are presentations. Here everything runs live on your real files: the instructor writes new agents from scratch in front of you. You go home with working artifacts, not a recording.
The artifacts are model-agnostic, and the durability playbook covers versioning and prompt updates for when models move. You get 30 days of support and office hours for your first real close.
That's the trade: one weekend now against the weekend the close takes every month. The flagship runs a full client close live, in one session, so you see the trade before you go home.
PROTOCOL 03 — THE CLOSE
One weekend. Ten machines on your ledgers. Nothing to renew.
Bring one real client's files. Leave with the crew that closes their month, and every month after.
Live · 25 seats · kept forever · $500 / ₹41,500