Close Starts → Pull Data → Flag Anomalies → Draft Variances → Prepare Packet

Close and Reconciliation Co-Pilot

Flags anomalies, prepares close packets, and drafts variance explanations, so month-end close runs faster and the recurring reconciliation errors get caught early.

The Problem

Month-end close is slow and the same errors resurface.

Month-end close takes days of manual cleanup. Variance explanations are written from scratch.

What Changes

Anomalies flagged, packets prepared, variances drafted.

Flags anomalies, prepares close packets, and drafts variance explanations before your team starts. Turns a 3-day process into a review exercise.

Humans stay in control: Your accountant reviews and closes. The agent flags and drafts. It removes the manual hunting, not the close.

HOW THE AGENT WORKS

TRIGGERLLMAPIDECISIONACTIONWAIT

TRIGGERClose BeginsPeriod close cycle starts

APIPull FinancialsGet the period ledger and prior periods

LLMFlag AnomaliesSpot unusual entries and variances

LLMDraft VariancesExplain notable movements

DECISIONPacket Ready?

ACTIONPrepare PacketAssemble the close packet for review

The agent doesn't close the books. It flags anomalies and drafts explanations. Your accountant reviews, adjusts, and closes.

HOW TO BUILD IT

Three levels of depth. Pick the one that matches where you are.

For the ops person who needs to understand what's involved and brief their team.

Your LedgerPeriod financials

The AgentWorkflow engine + LLM

Your ClosePacket + variances

WHAT YOUR TEAM PROVIDES ONCE

Ledger access - current and prior period data
Anomaly rules - what counts as unusual
Variance threshold - what needs an explanation
Packet format - your close packet structure
Review owner - who reviews and closes

What happens day-to-day: Close starts. The agent pulls the period, flags the entries that look off, and drafts variance explanations against budget and prior period. Your accountant opens a prepared packet and reviews exceptions instead of building everything from a blank sheet.

For the IT person or technical lead who needs to scope the integration.

INQUIRY SOURCES

Accounting / GL

Prior periods

Budget

WORKFLOW ENGINE (N8N)

Trigger

API - Pull financials

LLM - Flag anomalies

LLM - Draft variances

Branch - ready?

Prepare packet

Route for review

CONNECTS TO

Accounting (Yardi / AppFolio / QuickBooks)Read: GL, budget, prior periods

Document / PDF builderAssemble close packet

Notifications (email / Slack)Send packet to the accountant

Workpaper storeAttach supporting detail

WITHOUT PMS API

Agent works from a trial-balance export and drafts the packet and variance notes. Review stays manual.

WITH PMS API

Agent reads the live GL and prepares a packet with anomalies and variances flagged. Best experience.

For the person who wants to build this agent step by step. Each node below maps to an n8n workflow node.

TRIGGERNode 1

Trigger - Close Begins

Manual kickoff or scheduled at period end.

Output: { period, prior_period }

APINode 2

HTTP Request - Pull Financials

Get the period GL, prior period, and budget.

Output: { gl_now, gl_prior, budget }

LLMNode 3

LLM - Flag Anomalies

Spot unusual entries: duplicates, missing accruals, out-of-range balances.

Output: [{ account, issue, amount, note }]

You flag anomalies in a period close.

Using the GL, prior period, and ANOMALY RULES, return entries that look wrong:
- account, issue (duplicate / missing_accrual / out_of_range / sign_flip), amount, note
Respond ONLY with a valid JSON array.

ANOMALY RULES: {anomaly_rules}
GL NOW: {gl_now}
GL PRIOR: {gl_prior}

OUTPUT

[
  { "account": "6210-Landscape", "issue": "out_of_range", "amount": 9800, "note": "2.3x prior 3-month average; possible double-posting." }
]

LLMNode 4

LLM - Draft Variances

Explain movements beyond the threshold vs budget and prior period.

Output: [{ account, variance, explanation }]

You draft variance explanations for a close packet.

For each account beyond the VARIANCE THRESHOLD, write a plain-language explanation grounded in the data. No speculation.
Respond ONLY with a valid JSON array.

VARIANCE THRESHOLD: {variance_threshold}
GL NOW: {gl_now}
GL PRIOR: {gl_prior}
BUDGET: {budget}

OUTPUT

[
  { "account": "5120-Plumbing", "variance": "+42% vs budget", "explanation": "Emergency water heater replacements at two units drove the overage." }
]

DECISIONNode 5

Condition - Packet Ready?

IF anomalies triaged and variances drafted → assemble. ELSE → flag what needs source data.

Output: Branch: READY (assemble) or GAPS (flag)

ACTIONNode 6

Prepare Packet

Assemble the close packet with anomalies, variances, and workpapers, and route to the accountant.

Output: Close packet prepared for review.

MVP vs Advanced — Where To Start

MVP — START HERE

Manual kickoff
Trial-balance export
Rule-based anomaly flags
Variance notes
Packet to a doc
Email review

ADVANCED — ADD LATER

Full Video Walkthrough Coming Soon

From close kickoff to a prepared packet - step by step.

Everything on this page is free to learn.

When you're ready to build — do it yourself or bring us in.

Book a call to scope this

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Frequently asked questions

Close and Reconciliation Co-Pilot is an AI agent that flags anomalies and drafts variance explanations before month-end.

Month-end close is slow and the same errors resurface. The Close and Reconciliation Co-Pilot addresses this — it flags anomalies and drafts variance explanations before month-end.

No — your team stays in control. Your accountant reviews and closes. The agent flags and drafts. It removes the manual hunting, not the close.

This is 2 of 6 agents in Finance & Accounting. → · Explore all 10 departments →