Training course · Perplexity · Tax Advisory

Perplexity for Tax Advisers

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

“Perplexity for Tax Advisers” is designed for roles such as Tax advisers and practice owners, Tax assistants and tax technicians and Accountants working in tax practices and shows step by step how to use Perplexity productively, safely and transparently in Tax Advisory – from the fundamentals to advanced workflows.

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Quality is a key focus: you learn to assess sources, cross-check claims and recognise typical failure patterns such as outdated or misattributed information.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.

Tax advisory firms are under pressure from staff shortages, rising client expectations and a constant stream of legislative changes, administrative guidance and court rulings. Used responsibly, generative AI can provide real relief. AI assistants summarise case law and tax authority guidance, structure facts from client documents, draft client newsletters and objection letters and answer routine questions in plain language. Automation supports document intake, deadline management and client communication. Professional judgement and liability remain with qualified tax advisers, but research and drafting become faster. The key prerequisite is safe handling of client data: professional secrecy, professional conduct rules and the GDPR determine which tools may be used and how.

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?

  • Tax advisers and practice owners
  • Tax assistants and tax technicians
  • Accountants working in tax practices
  • Payroll staff
  • Practice managers and digital transformation leads

Typical challenges we address

  • Tracking and interpreting legislative changes, official guidance and court rulings promptly
  • Requesting and structuring incomplete client records
  • Reducing the time spent on submissions, objections and client correspondence
  • Coping with deadlines and seasonal peaks with limited staff

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 research, summaries and draft submissions and verify results against primary sources.
  • Automate client communication and document processes in your practice.
  • Use AI while respecting professional secrecy, professional conduct rules and the GDPR.

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: Tax Advisory
  • Summarising case law
  • Drafting objections and submissions
  • Client communication
  • Document checklists
  • Automated document intake
  • Knowledge management
Module 7 Data protection, quality & transfer to daily work
  • German tax advisers are bound by professional secrecy under the Tax Advisers Act and Section 203 of the Criminal Code; client data may only be shared with AI providers contractually bound to confidentiality and processing data in line with the GDPR. Otherwise, facts must be consistently anonymised.
  • 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

Summarising case law

An AI assistant summarises rulings, tax authority guidance or draft legislation, highlights key points and affected client groups and drafts internal technical updates that qualified advisers then check against the original source.

Drafting objections and submissions

Based on anonymised facts, AI produces a structured draft of an objection, a request to suspend enforcement or a reply to the tax office, including an outline of the arguments for further professional work.

Client communication

AI drafts clear client newsletters, explanations of tax assessments and reminders about missing documents, adapted for private clients, freelancers or businesses.

Document checklists

For income tax returns, annual financial statements or payroll queries, AI creates tailored checklists based on the client profile, reducing follow-up questions and repeated requests.

Automated document intake

An automation sorts incoming client documents, recognises document types, applies consistent file names and passes them to the practice software or flags missing information.

Knowledge management

Internal guidance notes, review templates and model wording are prepared and made searchable with AI support, so staff can access proven practice know-how more quickly.

Prerequisites

Experience with online research in a professional context; no prior AI knowledge is required. You work in a tax practice or corporate tax department and have a basic grounding in tax law.

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

German tax advisers are bound by professional secrecy under the Tax Advisers Act and Section 203 of the Criminal Code; client data may only be shared with AI providers contractually bound to confidentiality and processing data in line with the GDPR. Otherwise, facts must be consistently anonymised.

Suggested dates

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

  • Tue, 24 November 2026 Online Request
  • Wed, 9 December 2026 Berlin Request
  • Tue, 15 December 2026 Online Request
  • Fri, 15 January 2027 Stuttgart Request
  • Wed, 20 January 2027 Online Request
  • Wed, 3 February 2027 Hanover 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.

May client data be entered into AI tools?

Only under strict conditions: the provider must be bound to confidentiality as a service provider, data processing must be contractually GDPR-compliant and inputs must not be used for training. Otherwise, work with anonymised facts. In the course we develop practical rules tailored to your practice.

Can AI give binding answers to tax questions?

No. AI assistants can be wrong about provisions, deadlines or case law and may not know the latest changes. They are useful for structuring, first drafts and research pointers. Professional judgement and liability stay with qualified advisers, who check every statement against legislation, commentaries and case law.

How much does “Perplexity for Tax Advisers” 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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