Finance Accounting Operations

BORME Risk Tracker

A monitoring agent for Spanish tax and legal advisors that reads the official Iberian bulletins (BORME, BOE, AEAT) on a fixed cadence, detects company and administrator risk signals — concursos de acreedores, sanciones, embargos, multi-company administrator overlaps, NIF revocations — and writes a clean, structured alert report into a Google Docs file. Each run dedupes against entries the agent has already surfaced, scores severity, and links back to the original bulletin entry so the advisor can act fast on the highest-priority items.

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Agent snapshot

Built for finance accounting work, not a generic template.

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Finance Accounting Operations

Sample input

Build an agent to bORME Risk Tracker. Use Google Sheets and Google Docs. Focus on operations. Return a ready-to-review result after each run.

Sample output

Every business morning, scans BORME, BOE, and AEAT bulletins for your watchlist entities, flags insolvencies, sanctions, and multi-company administrators, dedupes against the past 14 days, and ships a structured alert to Google Docs.

Workflow brief

Where BORME Risk Tracker fits in a finance accounting automation system

BORME Risk Tracker is designed for a specific recurring job: a monitoring agent for Spanish tax and legal advisors that reads the official Iberian bulletins (BORME, BOE, AEAT) on a fixed cadence, detects company and administrator risk signals — concursos de acreedores, sanciones, embargos, multi-company administrator overlaps, NIF revocations — and writes a clean, structured alert report into a Google Docs file. Each run dedupes against entries the agent has already surfaced, scores severity, and links back to the original bulletin entry so the advisor can act fast on the highest-priority items. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.

A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.

In this setup Twin uses Google Sheets and Google Docs as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.

What this agent automates

This run includes 8 concrete steps from the published agent data.

Signal 1 · 1

Read the entity watchlist (company names, NIFs, administrators, sectors) from the connected source

Signal 2 · 2

Pull the latest bulletin sections published since the last successful run

Signal 3 · 3

Use Twin AI to extract structured entries and match them to the watchlist

Signal 4 · 4

Classify each match by signal type and assign a severity score

Signal 5 · 5

Filter out entries already stored in the Agent Database from prior runs

Signal 6 · 6

Render a structured report grouped by severity with source links

Integrations used

BORME Risk Tracker connects Google Sheets and Google Docs.

Google Sheets

Connected in this agent

Google Docs

Connected in this agent

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