Training course · Perplexity · Accounting

Perplexity for Accounting Teams

AI-powered research with Perplexity: cited answers, source control, Spaces, Deep Research and systematic fact-checking.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Perplexity with the everyday processes of Accounting. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Perplexity combines language models with live web search and delivers answers backed by numbered citations. That makes it particularly suited to work where currency and traceability matter: market and competitor monitoring, research into regulation and standards, supplier and partner due diligence, or preparing decision papers. In this practical day you learn to phrase research questions precisely, steer the choice of sources deliberately and use follow-up questions to turn an initial answer into a robust research result.

You work with Spaces, where you group research on a topic, add your own files and set instructions for the team. With Deep Research you produce extensive reports that evaluate many sources and bring them together in a structured way. Quality is a key focus: you learn to assess sources, cross-check claims and recognise typical failure patterns such as outdated or misattributed information. We also address data protection and licensing questions for business use. You leave with a reusable research process tailored to your own function.

Accounting is shaped by recurring processes, high document volumes and strict requirements for proper bookkeeping. Generative AI and automation provide real relief: AI assistants extract data from supplier invoices, suggest account assignments, explain transactions under local GAAP or IFRS and draft queries to suppliers or internal departments. AI agents support account reconciliations, the month-end close and the preparation of documents for external auditors and tax advisers. Responsibility for correct postings stays with people, but routine work shrinks, leaving time for exceptions, process improvement and analysis. The prerequisites are clear review steps, documented procedures and tools that respect requirements for traceability and immutability, such as the German GoBD principles.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • General ledger and accounts payable accountants
  • Accounts receivable specialists
  • Financial accountants preparing statements
  • Heads of accounting
  • Shared service centre staff

Typical challenges we address

  • Processing high volumes of documents in many formats on time
  • Resolving reconciliations and open items during the month-end close
  • Accounting correctly for complex transactions under GAAP, IFRS and VAT rules
  • Providing complete, traceable records for audits and tax inspections

What you will be able to do

  • You phrase precise research questions and steer the choice of sources deliberately.
  • You assess sources by origin, currency and reliability and trace claims back to the original.
  • You organise research in Spaces and combine web sources with your own documents.
  • You use Deep Research to produce structured reports and decision support.
  • Use AI for document processing, account assignment suggestions and reconciliations with clear review steps.
  • Use AI assistants to clarify GAAP, IFRS and VAT questions and verify the answers professionally.
  • Design AI-supported processes that meet bookkeeping compliance requirements and are fully documented.

Course outline

Module 1 Foundations of AI-powered research
  • How it works: language model, live web search and citations
  • How it differs from a classic search engine and a general chat assistant
  • Framing research questions precisely: time frame, region, source type
  • Follow-ups and drilling down instead of one-off queries
Module 2 Steering and assessing sources
  • Narrowing sources: web, academic literature, your own files
  • Targeting primary sources, official websites and specialist publications
  • Assessing source quality: origin, currency, vested interests
  • Tracing quotes and figures back to the original source
Module 3 Spaces and teamwork
  • Setting up Spaces for topics, projects or client requests
  • Uploading your own documents and combining them with web sources
  • Storing instructions for consistent output formats
  • Sharing research and turning it into pages or reports
Module 4 Deep Research and structured reports
  • Tackling broad questions with Deep Research
  • Producing market overviews, competitor comparisons and topic briefs
  • Turning results into tables, side-by-side comparisons and executive summaries
  • Recognising the limits of in-depth research and refining results
Module 5 Fact-checking, data protection and workflow
  • Systematic fact-checking: counter-research and spotting contradictions
  • Typical failure patterns: outdated, misattributed or fabricated details
  • Data protection, enterprise licences and handling confidential queries
  • A reusable research process and source documentation
Module 6 Practice lab: Accounting
  • Invoice data extraction
  • Account assignment and guidance
  • Reconciliation support
  • Dunning and supplier communication
  • Close checklists and procedures
  • Audit request preparation
Module 7 Data protection, quality & transfer to daily work
  • AI-supported accounting processes must meet bookkeeping requirements such as the German GoBD, in particular traceability, immutability and up-to-date procedural documentation. Invoices and bank data contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Invoice data extraction

AI reads incoming invoices in PDF or e-invoicing formats, checks mandatory VAT details, suggests supplier, GL account and cost centre and flags incomplete or unusual documents for review.

Account assignment and guidance

An AI assistant explains transactions such as prepayments, provisions or capitalisation of assets, proposes possible journal entries and points to the relevant rules, which you then verify professionally.

Reconciliation support

Automations compare bank transactions with receivables and payables, match payments to open items and produce a list of unexplained differences with suggested explanations for the month-end close.

Dunning and supplier communication

AI drafts polite, factual payment reminders, queries about missing purchase order numbers or credit note requests and adapts tone and language for domestic and international customers and suppliers.

Close checklists and procedures

From existing notes, AI creates structured closing checklists, work instructions and sections of the procedural documentation required for compliant bookkeeping, which the team reviews and maintains.

Audit request preparation

When auditors or tax inspectors send requests, AI helps structure the questions, map the evidence required and draft clear explanations of postings, estimates and judgements.

Prerequisites

Experience with online research in a professional context; no prior AI knowledge is required. You have a basic knowledge of financial accounting and work regularly with an ERP or accounting system.

Technical requirements

A laptop with an up-to-date browser and a Perplexity account; we recommend Pro or Enterprise access to use Spaces with files and Deep Research in full.

Data protection & compliance

AI-supported accounting processes must meet bookkeeping requirements such as the German GoBD, in particular traceability, immutability and up-to-date procedural documentation. Invoices and bank data contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Tue, 24 November 2026 Online Request
  • Thu, 3 December 2026 Hanover Request
  • Thu, 17 December 2026 Online Request
  • Thu, 14 January 2027 Munich Request
  • Wed, 20 January 2027 Online Request
  • Wed, 3 February 2027 Stuttgart Request

Frequently asked questions

How does Perplexity differ from ChatGPT or a search engine?

A search engine returns a list of links, and a general chat assistant often answers from its training data. Perplexity searches the web at the moment you ask, summarises what it finds and backs each statement with citations. That makes it particularly well suited to current, verifiable research – although you still need to assess the sources yourself.

Can I rely on Perplexity's citations?

Citations make verification much easier, but they do not replace it. Occasionally a statement is attributed to a source that does not say quite that, or an outdated page is used. In the course you learn a lean fact-checking routine that lets you quickly verify critical statements against the original source.

Is Perplexity suitable for confidential research within a company?

Enterprise plans offer additional commitments on data use and administration. Even so, you should not put trade secrets or personal data into queries unless your internal policy explicitly allows it. We discuss how to phrase queries so that sensitive details stay protected while the research remains useful.

Are AI-supported postings compliant?

AI provides suggestions, but postings are made in your compliant accounting system after review by staff. What matters are documented review steps, logging and updated procedural documentation. In the course we work out how to embed AI steps cleanly in your process and make them transparent to auditors.

How well does AI handle invoices with different layouts?

Modern models usually process varied layouts and structured e-invoices reliably, but they make mistakes with blurred scans or unusual formats. Plausibility checks such as total reconciliation, VAT rate validation and supplier master data matching are therefore essential. We show how to build these controls into your workflow.

How much does “Perplexity for Accounting Teams” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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