AVEVA

Spearheaded overhaul of Customer Success operations across APAC (12 markets; ~150 staff), reducing escalations by 35% and improving SLA compliance to 98%

Drove margin expansion—commercialized support offerings to lift gross margins by 4 percentage points within six months

Piloted GTM launch for global Solutions Support, generating $3 M net-new ARR in the first quarter post-launch

Scaled governance, documentation & process frameworks, cutting onboarding time by 50% and ensuring 100% audit readiness

Program Manager | APAC Operations

Cisco

Spearheaded data-driven workflow adoption across Sales, CS, Engineering, Marketing & CX—aligning 5 functions and empowering 400+ users to make real-time decisions

Drove change management initiatives, influencing VP/C-level stakeholders to embed AI practices, boosting team productivity by 25%

Scaled a $16 M data platform to deliver a 360° view of the customer journey, reducing churn by 15% and accelerating cross-sell by 20%

Piloted cross-functional automation in Finance, Sales, Marketing & Support, cutting manual handoffs by 60%

Senior Program & Change Manager  | Data & AI

ServiceRocket

Scaled automation across Marketing, Legal, Procurement, Finance, Project & Helpdesk teams—implementing the Atlassian stack to automate 120+ workflows and slash manual tasks by 40% 


Drove “digital by default” shift, lifting team throughput by 50% and reducing average ticket resolution time from 24 hrs to 8 hrs 


Spearheaded creation of a centralized workflow knowledge base, cutting onboarding ramp-up by 60%

Business Development Manager | Business Workflow Automation

Huawei Technologies

Spearheaded development of a modern infrastructure networking platform for MSPs, extending refresh cycles to 3 years and cutting capex by 30% 


Drove solution design & delivery—executed 25+ POCs on AWS/Azure, generating $1.5 M in new engagement pipeline 


Scaled post-deployment support processes, improving platform uptime to 99.9% and reducing incident response times by 45%

Solutions Sales Manager | Channel Partner

KEMP Technologies

Design solutions for Application Delivery infrastructure -> Prepare cloud migration (AWS, Azure) -> Size and Scope projects, running demos and Proof of Concept -> Implementation and delivery of the projects for customers.

Solutions Architect

IoT Principal Consultant

Senior IT Engineer

PicNet Pty Ltd

IT Engineer

5G Networks Pty Ltd

IT Support Engineer

Senior Program Manager @ Cisco | Change Manager | Project Manager | AI & Data | Business Development

Operations & GTM executive with 15+ years driving $100M+ revenue growth, building data platforms, and scaling global teams across APAC and EMEA. 

Proven track record in P&L optimization, digital transformation, and stakeholder alignment—from VP to field teams.

Also, love content. Growing to:

-> 24k followers on LI
-> Generated 1M impressions with AI Organic Content
-> 650k people read my content

I am passionate about:

-> P&L Management & Margin Expansion
-> Digital Transformation & Platform Scaling
-> GTM Strategy & Revenue Acceleration
-> Cross-Functional Leadership & Change Management
-> AI & Data-Driven Decision Making


Results:

- Driving margin % growth commercializing support offerings and services
- Built a $16M data platform at Cisco to give full 360 view of customer journey -- unified 5+ business functions
- Change management and influencing VP / C-level stakeholders in making data driven decisions
- Cross function leadership, building and automating workflows within Finance, Sales, Marketing, Support, Project and Product Management teams
- Led APAC-wide customer success ops overhaul—improving NPS by 10 pts


I can scale operations, drive digital transformation, and accelerate revenue. Let’s connect!

Made by 1 person.

Now it's a $1B franchise.

What started as a solo project became a timeless legend.

But it didn’t just shape game design.

It shaped how I think about building anything worthwhile.


Some lessons

1. Constraints breed creativity

Jordan Mechner rotoscoped animation using his brother jumping in their backyard.

Budget = $0.

Tool = a VHS camera.

Lesson? Lack of resources forces better design.

2. Polish > features

The original game was only 12 levels.

But every jump, trap, and swordfight felt right.

He spent weeks perfecting animation timing.

Small scope, masterful execution > bloated mess.

3. Ignore the applause. Finish the game.

Nobody cared while he was building it.

No press. No support from his publisher.

He just kept building.

Sometimes your job is to ship, not trend.

4. Feedback loops are everything

 Prince of Persia taught players through dying.

Jump. Fall. Learn. Repeat.

It didn’t punish failure ; it made failure productive.

In life? Tight feedback loops compound fast.

5. Make your first 10 seconds iconic

That falling gate in level one?

Memorable. Tense. Teaches timing instantly.

Your product, pitch, or post needs that too:

Hook instantly. Teach subtly. Leave a mark.

6. Start solo. Scale later.

 PoP was built by 1 person, over 3 years.

Then ports, sequels, and studios came later.

The best things start with obsession, not org charts.

7. Timelessness > trends

No cutscenes. No microtransactions. No gimmicks.

Just clean design, smooth gameplay, and soul.

That's why we're still talking about it 30 years later.

The real legacy of Prince of Persia?

It was never just a game.

Houman Asefi

Senior Program Manager | Change Manager | AI GTM

🔴 BREAKING: OpenAI just launched the App SDK… and 99% of VPs still think it’s “just for devs.”

WRONG!

No, this isn't “just another dev tool.”

This is ChatGPT talking directly to your apps;  Slack, Notion, Salesforce, SAP, Atlassian, Tableau…

All inside a single interface. No switching tabs. No chasing data. No bottlenecks.

Executives, listen up:

This is what digital transformation was supposed to look like; until now it’s been vaporware, decks, and stalled change programs.

Here’s what changes starting this week👇

💰 VP of Finance

→ Ask: “What was our gross margin trend across regions last 3 months?”
→ ChatGPT pulls the data from Netsuite + Tableau + emails
→ You get the actual answer + driver breakdown; in plain English
→ Then it drafts the board summary slide

✅ Financial storytelling, reporting, and variance analysis; in 3 minutes, not 3 days.

🏗 VP of Operations

→ Ask: “What POs are still open past due in SAP?”
→ Follow up: “Tag the vendors and send escalation emails.”
→ ChatGPT executes it through your SAP + Outlook integration

✅ You’re no longer a dashboard reader. You’re a command center.

📦 VP of Supply Chain

→ Ask: “What’s our current stock risk across top 5 SKUs?”
→ ChatGPT pulls real-time status from inventory system
→ Suggests reorder timing + updates procurement task in Jira

✅ Supply chain firefighting becomes proactive intelligence.

📣 VP of Marketing

→ Ask: “Pull our top-performing email campaigns from HubSpot last quarter.”
→ “Now draft new versions for our holiday push. Keep CTRs >4%.”

✅ It’s not automation. It’s execution intelligence.

🧑‍💼 VP of HR

→ Ask: “Who hasn’t completed compliance training?”
→ ChatGPT checks your LMS, lists employees, and sends nudges via Slack.
→ Also flags burnout signals from recent time-off patterns

✅ People ops with surgical precision; zero spreadsheets.

You’re not building agents.

You’re giving ChatGPT the keys to your existing systems; securely, natively, instantly.


You don’t need to learn a new platform.

You don’t need a change management rollout.

You just need one prompt.

This is the moment where ChatGPT becomes the enterprise command line.

And VPs who move fast?

 They’ll 10x output without hiring.
 They’ll reduce meetings by 80%.
 They’ll make every team 5x more autonomous.

🔮 No more dashboards.

You have ChatGPT; talking to every app you use; doing what you ask.

The SDK is here.

 
👇 Drop a "⚙️" and share some ideas and use cases inside boring industries.

#OpenAI #AppSDK #ChatGPTEnterprise #FutureOfWork #ProcessAutomation #VPtoolkit #FullStackCapitalist #DigitalTransformation #EnterpriseAI

🔴  OpenAI killed thousands of startups in an instant.

Agent Builder launch will change the AI race and make it a 2-horse race IMO.

Long terms, it's Google vs. OpenAI.

Short term, here’s who actually wins the next 24 months (and why):

💬 Assistants

OpenAI and Google split consumer mindshare. I bounce between ChatGPT and Gemini. You do too.

🏢 Enterprise

Microsoft’s distribution is a cheat code. OpenAI powers the guts; Google holds serve where Workspace rules.

🔎 Search

Google keeps defaults. Perplexity becomes the power user front-end. Expect “research mode” to go mainstream.

🧠 Safety/Regulated

Anthropic plays the long game. Banks and healthcare want reliability, evals, and receipts.

⚡ Latency-Critical

Groq wins where milliseconds matter. Voice, robotics, trading UIs. Different game, different champions.

🛠️ Agents + Automation

Agent Builder is real. Simple automations get absorbed. Open-source and on-prem (hello n8n) survive by going deeper: privacy, control, compliance.

🎥 Social Video

Sora 2 is a shot at the feed. But creators follow money + moderation. Meta isn’t asleep.

Bottom line?

No single throne short term. Surface area beats slogans.

Pick your lane by distribution, data, or milliseconds.

Also, AI race is becoming a tribal war.

The more the CEO can play with the emotion of masses, they have a higher chance to win AI race.

Who did I miss?

#AI #OpenAI #Google #Anthropic #Agents #Groq #Perplexity #Strategy

I am irrelevant.


And that’s exactly why I win.

Every 10 years, the world resets.

📟 1990s → Personal computers
📱 2000s → Social media
☁️ 2010s → Mobile & cloud
🤖 2020s → AI and automation
🧠 2030s → Quantum or brain-computer interface (pick your poison)

I have no clue how the next tech works.

 Zero idea what “qubits” do.

 Can’t explain neural lacing.

I’m not a scientist.

But I know one thing better than most:

Adapt. Fast.

I’ve done it again. And again.

🖥 I self-taught PCs in the 90s
📣 I rode the social wave in the 2000s ... millions of impressions
📱 I became a mobile/cloud SME for enterprises in the 2010s
⚙️ I now build AI growth loops & SEO automation for mid-market businesses

Every decade, the tools change.

But the mindset doesn’t:

→ Be the first to learn.
→ Translate tech into business. $$ specifically.
→ Deliver value before the market wakes up.

So what’s next?

By 2030, I’ll be the go-to person who helps companies adopt quantum computing.

Not in 6 months, but in 6 weeks.

Because when the new tech hits, the scramble starts.

 And the ones who already adapted will own the future.

📌 That’s the bridge I build. Always.

 From bleeding-edge tech → to business value.

Competitors move, Pulse knows.

OpenAI launched ChatGPT Pulse.

It whispered exactly what mattered to your business in real time...

1/

You don’t check dashboards anymore.

Pulse taps your shoulder and says:

“Your top 3 clients are about to churn.”
“Your competitor dropped prices 18 minutes ago.”
“Your factory floor had 3 downtimes in 1 shift.”

No search bar.

No Friday scramble.

Just signal > action.

2/

📉 Why does this matter?

Because most dashboards are graveyards.

We’ve all seen it:
 • 17 tabs open
 • 97 dashboards built
 • 0 business decisions changed

You feel data-rich, but you’re action-poor.

3/

🔥 Pulse flips the table.

It turns your business from:

 • Reactive → Anticipatory
 • Data-driven → Signal-driven
 • Monitor-heavy → AI-orchestrated

Imagine replacing daily standups, risk logs, and “just flag it if…” with a GPT agent that knows your KPIs better than your COO.

4/

Let’s make it real.

Here’s how Pulse changes 5 industries overnight:

🧾 Finance: Detects fund withdrawals before clients leave.
🚧 Construction: Flags safety risks in real time; not at end-of-week.
🛠️ Manufacturing: Predicts breakdowns based on complaint and maintenance signals.
🛍️ Retail: Connects eComm drops + TikTok sentiment in the same alert.
⛏️ Mining: Surfaces compliance breaches before site shutdowns happen.

5/

🎯 Who wins?

Not the team with more dashboards.

The one that designs fewer but smarter signals.

Start with this:

 → What 5 alerts would change your month?
 → What decisions can your team make 3 days sooner?

Build that into Pulse.

6/

This is what AI literacy actually means.

It’s not “can you use ChatGPT?”

It’s:
 • Can you define the signal?
 • Design a trigger?
 • Act without waiting on a 12-person approval chain?

That’s the new operational edge.

And once your competitor turns it on?

You’ll either be briefed… or blindsided.
—
This is a concept from my latest blog: “ChatGPT Pulse: How Enterprise Ops Will Change in Weeks, Not Months.”

📬 Subscribe to Full Stack Capitalist for bold takes + practical playbooks → https://lnkd.in/gNMAjYWP

👇 Drop a comment:

 What’s ONE metric you’d want Pulse to watch for you; 24/7?
—
#AI #EnterpriseOps #SignalNotNoise #ChatGPTPulse #FullStackCapitalist #SaaS #GPT4 #Finance #Construction #Retail #Manufacturing #Mining #FutureOfWork

OpenAI is rumored to be launching Agent Builder tomorrow.

It changes everything for non-technical execs inside “dinosaur” companies.

We’re entering the No-Code AI Ops Era

Here’s what that means for:

🧾 VPs of Finance
 → Build an agent that reviews, flags, and categorizes receipts in real-time
 → Auto-generate P&L reports from ERP data
 → Catch fraud faster than any manual system

📦 VPs of Supply Chain
 → Real-time procurement alerts
 → AI agents that optimize inventory across regions
 → Autonomously re-route orders based on weather + risk feeds

📢 VPs of Marketing
 → Weekly AI-generated competitor intelligence briefings
 → 24/7 social sentiment scanning
 → Campaign content built, repurposed, and localized by agents; on autopilot

Mental Model: From Staff to Systems

Most leaders scale with people.

Great leaders scale with systems.

Exceptional leaders scale with intelligence.

Before: You hired a team of analysts.

After: You deploy a team of agents.

This is the shift from human workflows to autonomous intelligence networks.

You don’t need 5 new tools. 

You need 1 intelligent layer across your existing stack.

The 3-Week Playbook

 Here’s how boring businesses are going from spreadsheets to smart agents; faster than you think:

Week 1:
 → Identify 3 recurring workflows (e.g. monthly reports, supplier alerts, churn tracking)
 → Map decision points with simple IF/THEN logic

Week 2:
 → Use OpenAI’s new Agent Builder to prototype the flows
 → Pull data from Excel, ERP, or CRM using prebuilt connectors

Week 3:
 → Test → Tweak → Deploy
 → Track results: speed, cost, risk reduction

Why this matters now

The same way Shopify unlocked e-commerce for everyone…

Agent Builder could unlock AI for every boring back office.

→ No code
→ No PhD
→ No dev team

Just business brains building intelligence on command.

Bottom Line:

If you’re a VP still using humans for rules-based work, you’re bleeding margin.

The next comp advantage isn’t headcount.

It’s headless ops.

Curious what agents your team could deploy this month?

#AgentEconomy #OpenAI #AIinOperations #B2BInnovation #Automation #FinanceOps #SupplyChainTransformation #MarketingOps #GeneralistPrinciple #BoringBusinessSuperpowers #NoCodeAI #LLM

Ooops!


When your favourite design tool; built on world-class infrastructure... suddenly collapses under “increased error rates,” it’s a reminder:

No matter how advanced our tech stack gets, AI still depends on human-designed systems that break under human-made pressure.

We’ve entered a strange era where:

Our creativity depends on algorithms.
Our work depends on uptime.
Our productivity depends on prompt engineering.

And yet… when one platform goes dark, the entire digital economy feels it.

Designers can’t export. Marketers can’t post. Founders can’t pitch.

So here’s the question I’ve been thinking about 👇

If AI is the new electricity, what happens when the lights go out?

Maybe the future is about making humans more resilient when it fails.

Curious; what’s your “backup plan” when AI tools go down?

OpenAI hit a $500B valuation…

…but the INSANE part? Most employees refused to cash out.

 Here’s why that should terrify Google; and maybe you too. 👇

1/

This wasn’t a funding round.

It was a $6.6B secondary sale; employees selling stock to Thrive Capital, SoftBank Investment Advisers, T. Rowe Price, and others.

$10B was offered.

Only $6.6B was taken.

That means 1 thing:

OpenAI’s own team thinks $500B is cheap.

2/

They’re not betting on ChatGPT.

They’re betting on the next platform shift.

LLMs aren’t just powering chatbots.

They’re becoming the infrastructure layer of:

Search
Productivity
Finance
Education
Agents
Entire companies


3/

Look at the top 5 most valuable startups in the world:

OpenAI – $500B
SpaceX – $400B
ByteDance – $330B
xAI (Elon) – $200B
Anthropic – $183B

3 out of 5 are LLM-first.


4/

So why didn’t OpenAI employees sell?

Because they’re insiders.

They know what’s coming next:

GPT-5 training on custom hardware
Sora 2 launching with Pixar-level tools
Multimodal agents replacing SaaS tools
$100B data centers already in the works


They’re trying to own the next web.

5/

 The takeaway for the rest of us?

🚫 You won’t beat OpenAI at AI.
✅ But you can build with it.

The same way Shopify let you ride the ecom wave…

OpenAI is giving you APIs, models, agents, even GPTs.

The next unicorns won't build AI.

They’ll build on AI.

//

Your thoughts?

Drop it below. Let’s connect.

#OpenAI #Startups #VC #LLMs #AI #Sora #ChatGPT #SamAltman #TechTrends #AGI #AIInfrastructure

You don’t need followers. You need Sora.

OpenAI just launched Sora 2.

This is:

Create stories that you could have never told..

Build business around viral videos.

Also, TikTok creators just got god mode.

Why it matters:

Sam Altman calls this the “ChatGPT moment for creativity.”

But it’s more than that.

This is a platform shift; the kind that killed Blockbuster, launched YouTube, and made Instagram influencers millionaires.

And this time?

The tools are free. The audience is infinite.

And the only limit is how weird you’re willing to get.

But wait... here’s the problem:

The same tool that lets you direct a short film in 12 seconds…

...can also deepfake your face into a bullying video.

The Sora team knows it. Their launch thread explicitly calls it out.

The goal? Optimize for long-term wellbeing, not dopamine loops.

Let’s hope they stick to it.

Takeaway for businesses and creators:

This is your window.
You don’t need a studio.
You don’t need an agent.

You need 3 things:

A story worth telling
A weird idea worth testing
The guts to hit “publish” while the rules are still being written

The Sora era has begun.

🎬 What will you create?

🔁 Repost if you feel the creative floodgates cracking open

💬 Comment with the first thing you’d make using Sora

 📥 Follow me for more “future just arrived” moments

#Sora #OpenAI #AIvideo #ContentCreation #AGI #SamAltman #AIcreators #ViralVideo #FutureOfWork #ShaanStyle

Apple didn’t invent the MP3 player. 

They just sold it as an iPod.

“Change of presentation” rule:

If they don’t like your product, don’t change the product 

Change how it’s served.

Business model, consumption model, messaging, ICP...

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