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29/07/2026

Most executives think financial literacy is the goal.

It's actually just the starting point.

Financial literacy is now a baseline skill.

It is not what separates exceptional leaders anymore.

The skill separating great leaders today is financial thinking.

Most leaders use the terms interchangeably.

But they are not the same thing

Financially literate executives understand the numbers.

Financial thinkers challenge the numbers.

Financial thinkers ask questions like:
↳ Should we invest now or wait?
↳ Is our fastest growing business actually profitable?
↳ Which customers create value, and which create revenue?
↳ What will this do to cash flow six months?
↳ What decision are these numbers forcing us to make?

Too many executives stop at explaining the numbers

The executives who create the most value challenge assumptions, connect numbers to strategy, and drive smarter decisions.

Companies don't outperform because leaders understand the numbers.

They outperform when leaders use the numbers to make better decisions

That's the moment finance starts shaping the business,

Executives do not need to become CFOs.

But they do need to think like one.

Next time you're in a numbers review, don't just discuss
"what the numbers mean."
Discuss "what decision do these numbers force us to make."

That's the shift from financial literacy to financial thinking.

The image below shows what that shift looks like in practice.
From budgeting and cash flow to risk, reporting, and decision-making.

♻️ Share this with a leader who thinks reading the P&L is the hard part.
Follow 𝐦𝐞 (𝐀𝐌𝐀𝐍𝐃𝐄𝐄𝐏 𝐊𝐀𝐔𝐑) and 𝐁𝐞𝐯𝐞𝐫𝐥𝐲 𝐃𝐚𝐯𝐢𝐬 for insights on organizational performance.

𝗚𝗦𝗧𝗜𝗻𝗱𝗶𝗮: Extension of timeline for implementation of mandatory "Ship To GSTIN" and Voluntary Closure of E-Way Bill func...
10/06/2026

𝗚𝗦𝗧𝗜𝗻𝗱𝗶𝗮: Extension of timeline for implementation of mandatory "Ship To GSTIN" and Voluntary Closure of E-Way Bill functionalities

02/05/2026

𝗛𝗼𝘄 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻 𝗔𝗜 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝗙𝗶𝗻𝗮𝗻𝗰𝗲?

Register for AI bootcamp now: https://lnkd.in/d_9nqkVg

Most finance teams want to use AI
Very few know where to start

The result
Too many tools
No clear impact
And growing frustration across FP&A and accounting teams

But don't worry, I already have built a roadmap
Already used by 1000s of finance teams

Here’s the framework 👇

1. Start with a corporate AI license
• Enterprise-grade security and privacy
• Clear rules for your finance team
• No shadow AI usage

2. Automate finance processes first
• Use AI to generate scripts
• Python + AI = fast automation
• Focus on repetitive tasks

3. Automate payables with AI
• AI AP tools connected to your ERP
• Invoice capture, checks, postings
• Immediate time savings

4. Add AI-native finance tools
• Forecasting
• Reporting
• Planning and analysis
• Pick tools that solve one clear problem

5. Create custom AI agents
• Custom GPTs or Copilot agents
• Gemini Gems for finance use cases
• Your own finance copilots

6. Build AI workflows
• Text analysis
• Code automation
• Audio workflows
• Insights from large datasets

7. Move to AI forecasting
• Only once data foundations are ready
• Predict trends, not just report history

And if you have some problems or questions
about this AI Roadmap

You can join us here in Live Masterclass next week on Tuesday

Save your seat here: https://lnkd.in/d_9nqkVg

I’ll walk through this roadmap live
Practical examples, no buzzwords

• Automate reporting, forecasting, and analysis without writing code
• Cut days of manual finance work down to minutes
• Save 20–40+ hours per month with AI workflows
• Adopt AI securely and stay ahead of fast-changing tools

Built specifically for CFOs, FP&A and finance teams

Live on Tuesday
EDT: 11am | UK: 4pm | CET: 5pm

💬 Where is your finance team today on this roadmap

🔁 Repost if this helps you structure your AI journey

18/04/2026

📢 𝐀𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐓𝐚𝐱𝐩𝐚𝐲𝐞𝐫𝐬,
𝐅𝐢𝐥𝐞 𝐲𝐨𝐮𝐫 𝐆𝐒𝐓𝐑-3B 𝐛𝐲 20𝐭𝐡 𝐀𝐩𝐫𝐢𝐥, 𝟐𝟎𝟐𝟔 𝐭𝐨 𝐚𝐯𝐨𝐢𝐝 𝐥𝐚𝐭𝐞 𝐟𝐞𝐞𝐬!

Everyone says they want ROI (Return on Investment) from AIBut most teams still chase hype over systemsAnd I’ve seen how ...
17/04/2026

Everyone says they want ROI (Return on Investment) from AI
But most teams still chase hype over systems

And I’ve seen how that plays out 👇

🚀 The Real Problem

I was in a conversation with a marketing team recently.

They were excited about:

→ new AI tools
→ new features
→ new “breakthroughs”

Everything sounded impressive

But when I asked:

👉 “What business problem is this solving?”

There was no clear answer

That’s the gap

🧠 The Shift That Changes Everything

There are two types of teams now:

Hype Chasers

→ follow trends
→ adopt tools quickly
→ hope ROI follows

System Builders

→ start with problems
→ test small
→ scale what works

That’s where real ROI is created

⚙️ What Actually Drives ROI (Marketing Lens)

It’s not more AI

It’s better problem selection + ex*****on 👇

🎯 Start with One Painful Problem

👉 What I’ve seen:

Teams trying to “AI everything”

→ nothing moves

⚠️ Focus creates results

🧪 Build the Simplest Prototype

👉 Example:

Instead of rebuilding your entire funnel

→ automate one campaign workflow

⚠️ Complexity kills momentum

📊 Measure Before You Scale

👉 What I’ve seen:

Teams scaling too early

→ amplifying inefficiencies

⚠️ If you can’t measure it
you can’t scale it

⚙️ Add AI Only If It Multiplies Results

👉 Example:

Manual process works

→ AI makes it faster, smarter, scalable

⚠️ AI should amplify
not replace broken systems

🎯 The 2026 Marketing Reality

AI in digital marketing is no longer about:

❌ Trying every new tool
❌ Following hype cycles
❌ Moving fast without direction

It’s about:

✅ Solving real problems
✅ Building simple systems
✅ Scaling what actually works

🧠 The Real Insight

Hype gets attention

Systems get results

I’ve seen simple workflows outperform
“advanced AI stacks” more times than I can count

Because:

→ clarity beats complexity
→ ex*****on beats excitement

⚙️ The Leadership Shift

Before asking:

“Which AI tool should we use?”

Ask:

→ What problem are we solving?
→ What does success look like?
→ Can we prove impact first?

That’s how ROI is built

🎯 Final Thought

We’ve seen this before

Shiny tools get the spotlight

Boring systems deliver the results

The teams winning in 2026:

→ don’t chase hype
→ they build what works

💬 What’s one simple win you’ve seen beat the hype?
📌 Save this your AI ROI playbook

🔁 Repost to help someone avoid hype and focus on results
➕Thank to Sandeep Gulati🎯 for 𝗔𝗜 × 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 × 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀

13/04/2026

𝗦𝗮𝗹𝗲𝘀 𝗽𝘂𝘀𝗵𝗲𝘀 𝗳𝗼𝗿 𝗴𝗿𝗼𝘄𝘁𝗵.
𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗽𝘂𝘀𝗵𝗲𝘀 𝗳𝗼𝗿 𝗰𝗮𝗽𝗮𝗰𝗶𝘁𝘆.
𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆.

The way they communicate is what turns strategy into results or friction.

No one is wrong.
But no one is aligned either.

Your business strategy is your ambition.
Your finance strategy is your reality check.
Your operations strategy is your proof of concept.

Most executive teams have the first.

Some build the second.

Very few fully operationalize the third.

Almost none have all three working together.

Three different languages.
Three different lenses.
One company.

I work with executive teams that have brilliant business minds, sharp instincts, and bold vision, but struggle to see strategic results.

For this, business, finance, and operations must tell the same story, but through different lenses .

I put together this breakdown below of how each function thinks, what questions they’re asking, and what they’re solving.

Finance leadership has to build a language that communicates through the lens of each department.

This is how communication is aligned across departments.

If your company is doesn't have mapped communication across departments.
Save this. Share it with your leadership team.

If you want to build and map all three strategies in less than 30 days.

08/04/2026

𝐂𝐥𝐚𝐫𝐢𝐭𝐲 𝐢𝐬 𝐬𝐩𝐞𝐞𝐝. 𝐖𝐡𝐞𝐧 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐫𝐢𝐠𝐡𝐭𝐬 𝐚𝐫𝐞 𝐮𝐧𝐜𝐥𝐞𝐚𝐫, 𝐭𝐰𝐨 𝐭𝐡𝐢𝐧𝐠𝐬 𝐡𝐚𝐩𝐩𝐞𝐧: 𝐓𝐡𝐞 𝐰𝐫𝐨𝐧𝐠 𝐩𝐞𝐨𝐩𝐥𝐞 𝐦𝐚𝐤𝐞 𝐭𝐡𝐞 𝐜𝐚𝐥𝐥. 𝐎𝐫 𝐰𝐨𝐫𝐬𝐞, 𝐧𝐨 𝐨𝐧𝐞 𝐝𝐨𝐞𝐬.

And that’s where momentum dies.

I've updated my C-Suite Decision Rights table, and it confirms what most leadership teams get wrong:

I’ve worked with leadership teams that spent weeks aligning on decisions because they lacked structure.

High-performing executive teams don’t just define strategy, and who owns decisions.

They answer, in advance:
↳ Who has the final say?
↳ Who is responsible for shaping the recommendation?
↳ Who needs to be informed and who doesn’t?

Companies that scale efficiently don’t have fewer decisions to make.
They make them faster, cleaner, and with less friction.

if your leadership team feels stuck, or is constantly revisiting the same conversations, start here:

Map your decision rights.

You don’t need another meeting.

You need clarity.

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Please share your thoughts in the comments
♻️ If this is helpful, Like and Repost to help others
Follow me and Beverly Davis for strategic finance insights.

08/04/2026

🛑𝗚𝗦𝗧𝗡 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝘀 ‘𝗜𝗠𝗦 𝗢𝗳𝗳𝗹𝗶𝗻𝗲 𝗨𝘁𝗶𝗹𝗶𝘁𝘆’ (𝘃𝟭.𝟬) 𝘁𝗼 𝗘𝗻𝗵𝗮𝗻𝗰𝗲 𝗧𝗮𝘅𝗽𝗮𝘆𝗲𝗿 𝗖𝗼𝗻𝘃𝗲𝗻𝗶𝗲𝗻𝗰𝗲

In a significant step towards improving ease of compliance and enhancing digital convenience for taxpayers, Goods And Services Tax Network (GSTN) has launched a new IMS Offline Utility (Version 1.0) over GST portal, offering much-needed relief for taxpayers and professionals who manage large volumes of data.

This Excel-based tool is designed to enable taxpayers to efficiently take actions on the Invoice Management System (IMS) dashboard in an offline mode.

👉For further details and to download the utility, taxpayers may visit the official GST portal under the ‘Downloads’ section.
📍Link - https://lnkd.in/d3yQ_Ghf
Thanks to CA Chetan R Kakani Chartered Accountant for this contribution and update.
IMS invoicemanagementsystem 𝗚𝗼𝗼𝗱𝘀 𝗔𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗧𝗮𝘅 𝗡𝗲𝘁𝘄𝗼𝗿𝗸

07/04/2026

𝗠𝗼𝘀𝘁 𝘁𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝗺𝗮𝗿𝗸𝗲𝘁𝗲𝗿𝘀 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲
𝗔𝗻𝗱 𝗷𝘂𝘀𝘁 𝘂𝘀𝗲 𝟭𝟬% 𝗼𝗳 𝗶𝘁

Then wonder why the output feels average

🚀 The Real Problem

It’s not the model

It’s the setup

Because in AI-powered systems (and digital marketing workflows):

Claude Code isn’t a chatbot
It’s an operating layer.

🧠 The Shift Most People Miss

Average users:

→ Prompt
→ Get output
→ Start again

High performers:

→ Configure
→ Systemise
→ Reuse

That’s where the leverage is.

⚙️ 12 Claude Code Features That Actually Matter

If you’re building anything serious, this is your stack 👇

1️⃣ CLAUDE.md → Your Memory Layer

Defines:

• Rules
• Standards
• Context

👉 Marketing Example:

Brand tone, ICP, messaging rules
→ No re-explaining every prompt

2️⃣ Permissions → Your Control Layer

Decide:

• What Claude can access
• What it cannot touch

👉 Prevents risky automation in production workflows

3️⃣ Plan Mode → Think Before Acting

Claude:

→ Plans first
→ Executes after approval

👉 Turns AI into a decision system, not a guessing engine

4️⃣ Checkpoints → Your Safety Net

Auto snapshots of your project

👉 Rollback instantly when things break

5️⃣ Skills → Your Reusable Intelligence

Predefined workflows Claude auto-runs

👉 Marketing Example:

• Campaign builder
• Report generator
• Content frameworks

6️⃣ Hooks → Your Enforcement Layer

Trigger scripts at key moments

👉 Unlike prompts:

Hooks = 100% enforced rules

7️⃣ MCP → Your Data Connection Layer

Connect to:

• Databases
• APIs
• External tools

👉 This is where AI stops guessing
and starts operating on real data

8️⃣ Plugins → Your Extension Layer

Add:

• Integrations
• Capabilities
• Custom workflows

9️⃣ Context Management → Your Precision Lever

Control what Claude sees

👉 Better context = better output

🔟 Slash Commands → Speed Layer

Shortcuts for repeat tasks

👉 Faster ex*****on, less friction

1️⃣1️⃣ Compaction → Cost + Efficiency

Compress conversations

👉 Reduce tokens, maintain performance

1️⃣2️⃣ Subagents → Parallel Ex*****on

Break tasks into smaller agents

👉 Run workflows simultaneously

🎯 The 2026 Reality

AI isn’t limited by capability.

It’s limited by how you structure it.

🧠 The Real Insight

Most people think:

“Better prompts = better results”

Wrong❌

It’s:

Better systems = better results

⚙️ Marketing & Business Use Case

With proper setup:

→ Claude reads your strategy docs
→ Applies brand rules automatically
→ Pulls real campaign data (via MCP)
→ Generates insights

That’s not prompting

That’s AI infrastructure

🎯 The Leadership Shift

AI in 2026 is no longer about:

❌ Chatting
❌ Drafting
❌ Experimenting

It’s about:

✅ Designing reusable systems
✅ Enforcing rules with precision
✅ Connecting AI to real data

If you’re not using these features
You’re not using Claude Code.
You’re just chatting with it

🔁 Repost to help someone unlock 90% more from AI
➕ Follow Sandeep Gulati for 𝗔𝗜 × 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 × 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀

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