MAZ NEXA
00 Internal Workshop

AI & Claude for Account Management

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Agenda

What this hour covers

Two parts. First the fundamentals, so the tool makes sense. Then the practical applications in account management, mapped to the work you already do.

Foundations
AI fundamentals01
Claude and Claude Code02
Key terms explained03
How to prompt it well04
Practical applications in account management
Meeting preparation05
Research06
Proposal development07
Strategic planning08
Day-to-day efficiency09
01 Foundation · AI fundamentals

Start with the basics

Three ideas before anything else. Keep them simple. The detail is for the room.

Artificial Intelligence
Large Language Models
Claude
What is AI

Software that learns

Instead of following fixed rules, it learns patterns from huge amounts of data, then uses them to understand language and produce useful work.

What are LLMs

The language engines

Large Language Models are AI trained on massive amounts of text to read and write like a person. Claude, and tools like it, are LLMs.

Why Claude

Considered the leader

Among today's models, Claude stands out for clear reasoning, top tier writing, a very long memory in a single chat, and the ability to act on real tasks. It is our model of choice.

02 Claude & Claude Code

Claude, and Claude Code

Two close terms people mix up. The difference is simple.

Claude

The AI itself

This is what you talk to. In the app, on the web, or on your phone. You ask, it answers, writes, and gets things done.

Claude Code

Claude at full strength

It is Claude working from your computer as a stronger agent: it uses your tools, runs tasks, and builds things, not just chats.

Read this first

You do not need Claude Code on day one. Your daily entry points are the Claude app, the connectors, and Claude Design. Claude Code is the power layer you reach for when you want to push further: build a tool, automate a workflow, or connect Claude to a platform that has no ready made connector. We standardise on the CLI because it is the most capable and the most flexible.

Mac Install in four steps
terminal
# 1 · check Node is 18 or newer
$ node --version
v22.11.0

# 2 · install Claude Code
$ npm install -g @anthropic-ai/claude-code

# 3 · go to your project and launch
$ cd ~/projects/launch && claude

# 4 · sign in via the browser when asked
# check it worked:
$ claude --version
Prefer no terminal? There is a Claude desktop app for Mac and Windows that runs Claude Code with no command line at all. Same engine, friendlier door.
On Windows? Use the native installer or run inside WSL. The commands are otherwise the same.
Why the CLI specifically? Full control of your files and tools, runs locally, scriptable, and it connects to anything through MCP.
One requirement. Claude Code needs a paid Claude plan or API access. The free plan does not include it.
03 The words you'll see

A few terms, made simple

You will see these on screen and in menus. Here is what they actually mean, in plain words.

API

A doorway between apps

Short for Application Programming Interface. Think of it as a doorway one program uses to talk to another. It is how custom tools connect to Claude.

MCP

One standard, any tool

Short for Model Context Protocol. A shared standard that lets Claude plug into almost any tool, even ones without a ready made connector.

claude.md

A simple notes file

A file named claude.md. The .md means Markdown, a simple text format. Claude reads this file first to learn the rules and context for your project.

Connectors

Ready made links

Ready made, one click links to tools you already use, like Gmail or Slack.

Skills

Saved know how

Saved instructions that teach Claude how you like a task done, so it comes out your way every time.

Plugins

Bundled workflows

Skills and connectors bundled together so a whole workflow is ready at once.

04 How to talk to it

Better input, better output

This is the single highest leverage skill in the room. Same tool, very different results, depending on how you ask. Four moves cover most of it.

Move 01

Be specific

Say exactly what you want and who it is for. Asking for a post gives a weak result. Asking for a 120 word LinkedIn post for a marketing manager, confident not salesy, gives a strong one.

Move 02

Give context

Paste the brief, the notes, the data. Claude cannot read your mind or your inbox unless you bring it in. More context, better answer.

Move 03

Show an example

One sample of what good looks like beats a paragraph describing it. Give it a past deck or email and say match this.

Move 04

Iterate

Treat the first reply as a draft. Shorter. More direct. Drop the jargon. Push it until it is right.

Weak prompt

Write a social media post.

Strong prompt

Write a 120 word LinkedIn post for a coffee brand launching a new cold brew. Friendly and confident, end with one clear call to action.

Part 02

Practical applications in account management

The work you do every week, now with Claude in the loop.

05 Meeting preparation

Every conversation, captured and current

Connect Claude to where the client work actually happens: your email, Google Workspace, Slack, and your meeting recorders. Then nothing slips.

Connects to
Google Calendar
Gmail
Google Meet
Zoom
Slack
Fireflies.aiFireflies.ai
Read AIRead AI
Communication

Email, Google, Slack

Draft and reply to client emails in your voice. Pull threads, search the history, and keep every channel with every client in one place.

Meeting intelligence

From call to action plan

Connect the recorders you run. Claude reads the transcript and gives you the summary, the decisions, and the action plan the moment the call ends.

The point

You walk into the next meeting already briefed on the last one. You know what was said, what was promised, and what the action plan is, without scrubbing through an hour of recording.

06 Research

Know the client, the competitor, and track the results

Claude researches the client, their competitors, and their social presence and visibility, tracks the results, and turns what it gathers into something you can present.

NotebookLM

A powerful research tool and one knowledge base per client. Upload everything about a client into one place, reports, documents, transcripts, and it builds a single source, answers your questions grounded only in your material, and produces strong research you can trust.

Listening & data connects through
MeMetricool
VSVista Social
RRRobinReach
SySyften
ApApify

For anything else, a niche platform or a private source, wire it up directly through the API, the CLI, or MCP. If the data exists, Claude can usually reach it.

Check

Always verify the facts before anything reaches a client. Claude can sound certain and still be wrong. Check names, numbers, and any claim before you rely on it.

07 Proposal development

From blank page to pitch

The slow part of a pitch is rarely the thinking. It is the building. This is where the time comes back.

Claude Design

Turn the strategy into a proposal and a pitch deck, on brand, fast. Describe what you want and shape it by chatting, no slow work in the slide editor.

On brand

Fast, and in your style

It holds your colours, fonts, and tone. You review and adjust by chatting instead of hours of manual formatting.

Which when

A simple rule

Claude for the thinking and writing. Claude Design to build the deliverable. NotebookLM to digest the source pile. Use the right one and you stop fighting overlap.

08 Strategic planning

Build the strategy, then prove it

We use everything we gathered, the client study, the research, our own homework. But we do not hand the final call to AI. Every strategy gets checked.

Shape

Built on real data

Feed Claude the brief, the research, and the numbers you prepared. It helps you build the client strategy and find the weak spots early.

Validate

Our own evaluator

We built a tool that scores any strategy against our historical data and knowledge base. Junior or senior, every plan runs through it, and we keep improving it.

Measure

Read the results

When the work runs, feed it the outcome. It reads the numbers, tells you what moved, and points to the next step.

MAZ NEXA

The MAZ NEXA Evaluator

Our own tool for scoring any strategy or plan against our data and knowledge base. Our team uses it, junior and senior, and we update it continuously.

Open the evaluator
The principle

AI does the heavy lifting. People make the call. Our evaluator is how we keep that honest.

09 Day-to-day efficiency

Your week, lighter

Put the pieces together and the account manager week changes shape. Less admin, more of the work that actually needs you.

Monday

Briefed before you start

Claude reads last week's calls and drafts your client status updates while you have your coffee.

Through the week

The grind, compressed

Emails, summaries, research, and reporting, all faster. The repetitive part stops eating your day.

Pitch time

Built, not laboured

Deck and proposal on brand in a fraction of the time, so the energy goes into the idea.

Three things to try tomorrow

Remember

Keep client data where it belongs, and check the facts before anything goes out. The tool is fast. You are still the one who signs off.

Start here

Your growth starts here.

Pick one client, one workflow, and let Claude carry the repetitive half. Then build from there.