Works With the Tools You Already Use

Claude can be connected to these services, among others. Your team keeps working in the same tools as before.

Claude

All of the following services can be connected to Claude:

Google Ads logo

Google Ads

Google’s advertising platform. Companies use it to run ads in Google search and on websites, and to track budgets, clicks and conversions.

Matomo logo

Matomo

A web analytics tool that can run on your own server. It shows how many people visit your website, where they come from and which pages they read.

HubSpot logo

HubSpot

A CRM for marketing, sales and customer service. Teams keep contacts, companies, deals and email history in one place.

Slack logo

Slack

A team chat. Conversations run in topic channels and direct messages instead of internal email.

Asana logo

Asana

A project and task management tool. Teams plan work as tasks with owners, due dates and status.

monday.com logo

monday.com

A work management platform. Teams organise projects, tasks and workflows on shared boards.

Atlassian (Jira, Confluence) logo

Atlassian (Jira, Confluence)

Jira tracks tasks, tickets and projects, mostly in software and IT teams. Confluence is the team wiki for documentation and meeting notes.

Google Drive logo

Google Drive

Google’s cloud storage. Teams store and share files and work together in Google Docs, Sheets and Slides.

Dropbox logo

Dropbox

A cloud storage service for keeping files in sync across devices and sharing them with others.

Box logo

Box

A cloud storage platform for businesses, with a focus on access permissions and secure sharing of documents.

PostgreSQL logo

PostgreSQL

An open-source database. Many business applications, such as order or customer systems, store their data in it.

Supabase logo

Supabase

A hosted backend platform built on PostgreSQL. Developers use it as the database and login system for web and mobile apps.

Amazon Aurora logo

Amazon Aurora

A database service from Amazon Web Services, compatible with PostgreSQL and MySQL, used for business applications that run in the AWS cloud.

Your own system

Your order system, ERP or another internal tool. If there is no ready-made connection, a custom connector links it to Claude.

Marketing and analytics: Google Ads, Matomo, HubSpot

Communication and projects: Slack, Asana, monday.com, Atlassian (Jira, Confluence)

Files: Google Drive, Dropbox, Box

Databases: PostgreSQL, Supabase, Amazon Aurora

Using something else, or an internal system of your own? It can be connected through a custom connector.

What I Set Up for You

Two offers that can be booked separately or together. You don't need any AI expertise in-house.

Management Brain

A personal knowledge system for executives, built on Andrej Karpathy's "LLM wiki" idea: Claude keeps an organised, linked set of notes up to date for you, so you no longer have to search through files.

  • After a client visit you drop your notes and the contract draft into one folder. Claude files them, links them to the client and updates the summary you read before the next meeting.
  • You record the weekly management meeting. Afterwards you have the minutes and a task list per person. Transcription can run on your own computer, so the recording never leaves the device.
  • Recurring work becomes one request ("skills"): "Prepare my one-on-one with Anna" pulls together what happened since the last one; "Write this up as a proposal" produces a document in your company design.
  1. Documents, notes, meeting recordingsTranscription runs on your own computer
  2. Claude organises them
  3. Your searchable knowledge base
Everything you drop in ends up in one place you can ask questions of.

Claude with connectors

Claude is connected to the tools your team already uses, so people ask a question instead of logging into five systems.

  • Before a customer call, your sales lead asks from their phone for the open deals and the last contact, instead of clicking through HubSpot.
  • Reading is the default. When someone asks Claude to create a task or send a message, Claude shows exactly what it will do and waits for a "yes".
  • Your own order system or an internal database can be connected too. For systems without a ready-made connection, I build a custom connector.
  1. Your question
  2. Claude
  3. Your tool, e.g. HubSpot
You ask in plain language. Claude looks it up in your tool and brings the answer back.

What This Looks Like Day to Day

Typical questions from a normal working week. The names and figures are examples.

Monday morning, marketing leadExample

“How did our Google Ads campaigns do yesterday?”

Google Ads logoLooks up yesterday's campaign figures in Google Ads

Yesterday: 1,240 clicks at €0.62 per click. "Spring offer" had the most clicks, "Brand" the most conversions.

Thursday, after the newsletter went outExample

“How many visitors came to the website from the newsletter this week?”

Matomo logoReads this week's visitor sources in Matomo

312 visits from the newsletter since Tuesday, most of them on the pricing page.

Ten minutes before a customer callExample

“What's the latest with [Company]? Open deals and last contact.”

HubSpot logoChecks the company record in HubSpot

One open deal, "Annual licence", in negotiation. Last contact: a call with the purchasing manager on 3 March.

Just before the project meetingExample

“Which Jira tickets for the website relaunch are still open and who owns them?”

Atlassian (Jira, Confluence) logoSearches the relaunch project in Jira

Four open tickets: two with Lukas (design), one with Sara (content), one unassigned.

First morning back after a day offExample

“Summarise what I missed in the #sales channel yesterday.”

Slack logoReads yesterday's messages in #sales on Slack

Three things: a new enquiry from [Company], the trade-fair stand is confirmed, and Anna needs your approval on a discount.

Looking for a documentExample

“Find the latest framework agreement with [Supplier] in Drive.”

Google Drive logoSearches Google Drive

Found "Framework agreement [Supplier] 2026, v3", last edited two weeks ago. Here is the link.

Preparing the monthly reportExample

“How many orders did we ship last month?”

PostgreSQL logoCounts last month's shipped orders in the company database

418 orders shipped last month, 23 more than the month before.

Right after a conversationExample

“Create an Asana task for Anna to send the offer by Friday.”

Asana logoPrepares a task in Asana and asks before creating it

Here is the task I would create:

Create task?

"Send offer" · assigned to Anna · due Friday

Claude waits for confirmation before creating the task.

Planning the next quarterExample

“What did we decide about the new pricing in last Tuesday's management meeting?”

Looks it up in the minutes of last Tuesday's meeting

Prices rise by 5% from 1 July for new customers only. Existing contracts stay unchanged until renewal. Owner: Sara.

How It Works

From the first conversation to workflows your team builds on its own.

  1. 1

    Alignment and data approval

    We agree on goals, the tools involved and which data Claude may work with.

  2. 2

    Preparation and dry run

    I set up accounts, connectors and workflows and test them with your real use cases before the team gets involved.

  3. 3

    Setup workshop with the team

    One afternoon in which everyone gets set up and works through their first tasks with Claude.

  4. 4

    Q&A session and one-on-one follow-ups

    A joint session for open questions, plus short individual appointments for anyone who needs them.

  5. 5

    Build session for your own workflows

    Together with the team, we turn recurring tasks into workflows that everyone can reuse.

Security and Data Protection

Before anyone starts, it is clear which data Claude may work with and who has access.

Clear data rules

Written rules on which data may go into Claude and which may not, so nobody has to guess.

Company accounts

Everyone works with a company account instead of a private one, so you keep control over access and data.

Protection against accidental uploads

Connectors and permissions are set up so that sensitive data is not shared by mistake.

Data processing agreements

I help you clarify the data processing agreements with the providers involved.

Jan Schulz

About Me

I'm Jan Schulz, a Fullstack Developer and AI Engineer. Over more than two decades I've worked in enterprise development, founded startups and led AI development projects. Alongside building systems, I teach: I run hands-on workshops and coaching on AI for companies, universities and individuals.

Learn About Me

Let's Talk

In a free, no-obligation first conversation, we look at where Claude could help your team and what a sensible first step would be.

Have a free 30-minute consulting

[Price on request]

This is an independent consultancy. Claude is a product of Anthropic. All product names and logos are trademarks of their respective owners and are used for identification only; their use does not imply any affiliation or endorsement.