Senior Director Sales Operations & Strategy at Applied Systems

Christian has dedicated his career to mastering the art and science of building high-growth Sales and Marketing organizations. He has extensive experience leading global Revenue Operations, Sales Operations, CRM Technology Strategy, Sales Enablement, Analytics, and Customer Strategy Consulting at Fortune 50 clients.  

Skills Include
-Sales Processes Optimization
-Sales Enablement
-BI & Analytics
-Sales & Marketing Technology
-Sales Support
-GTM Strategy
-Business Transformation 
-Leading global teams (50+)

Technology Proficiency 
-CRM (Salesforce, Dynamics) 
-Marketing Automation (Marketo, Marketing Cloud) 
-Sales Engagement (Outreach, Level 11) 
-Customer Success (ChurnZero) 

Previous clients include: Microsoft, Apple, Time Warner Cable, Verizon, EMC, Cisco, Coty, AbbVie, and others

Christian Fischer

Product Manager | Doctorate Research Scholar | Bridging Vision, Strategy, and Execution 🚀📈

“Strategy without execution is a hallucination. Execution without strategy is just noise.”

I exist in the space between—where ambitious roadmaps meet the rigorous reality of delivery.

Over the last 16 years, I’ve evolved from a hands-on builder to a strategic partner for B2B SaaS, FinTech, and Enterprise leadership teams. My edge isn't just experience; it's the convergence of deep academic research (Doctorate in Strategic Management) and hard-won operational scars.

I don’t just "manage" products. I optimize the engines that build them.

𝐓𝐡𝐞 3𝐏 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: Turning Chaos into Predictability
I approach every transformation through the lens of People, Process, and Products. This is the repeatable system I use to help businesses ship 30% faster and cut operational costs by 20%.

1. 𝐏𝐞𝐨𝐩𝐥𝐞 (𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 & 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐲): Great products are built by autonomous teams, not micromanaged ones. I build the leadership guardrails that allow teams to run fast without crashing. I focus on "boring" efficiency—removing the friction so your best talent can focus on high-value execution.

2. 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 (𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 & 𝐀𝐈): While others talk about AI potential, I operationalize it. I architect custom agentic workflows that automate governance and slash reporting time by 40%. I treat "Time-to-Value" as the only metric that matters, using AI to turn "status updates" into proactive risk mitigation.

3. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 (𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐕𝐞𝐥𝐨𝐜𝐢𝐭𝐲 & 𝐒𝐜𝐚𝐥𝐢𝐧𝐠): Great tech means nothing if it doesn't sell. I bridge the gap between Product and Sales, having directly supported pre-sales engagements that closed over $10M in deals in under 8 months. I ensure your product isn't just a "feature set," but a scalable commercial engine.

𝐇𝐚𝐫𝐝-𝐖𝐨𝐧 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐚𝐫𝐬
The Builder: Took a B2B ESG SaaS platform from whiteboard sketch to Tier-1 enterprise launch.

The Scaler: Orchestrated high-stakes travel insurance implementations for industry giants, integrating complex legacy systems with modern aggregators.

The AI Strategist: Architected custom AI-powered governance tools that predict delivery bottlenecks before they hit the bottom line.

Is your delivery currently predictable, or are you fighting chaos?

📩 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 to build the future of your product engine. 

🌐 𝘐𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘰𝘯 𝘦𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯 𝘢𝘵: 𝘵𝘩𝘦𝘢𝘣𝘩𝘪𝘯𝘢𝘷𝘨.𝘤𝘰𝘮

Abhinav Goel

𝐓𝐡𝐞 𝐀𝐈 "𝐡𝐨𝐧𝐞𝐲𝐦𝐨𝐨𝐧 𝐩𝐡𝐚𝐬𝐞" 𝐢𝐬 𝐨𝐯𝐞𝐫. 2026 𝐢𝐬 𝐭𝐡𝐞 𝐲𝐞𝐚𝐫 𝐨𝐟 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐭𝐫𝐮𝐭𝐡.


I spent the last three years being wowed by what Generative AI could do. But as I look across the landscape today, I see a massive gap between "running a pilot" and "realizing profit."

Industry data suggests nearly 80% of enterprise AI initiatives are stuck in "Pilot Purgatory"—cool demos that never scale to production.

Why? Because they skipped the foundational work of digital transformation.

As a consultant helping businesses bridge this gap, I’ve developed a 3-stage framework to move clients from experimental noise to measurable ROI. It’s not about buying more tools; it’s about fixing the plumbing and sharpening the strategy.

Swipe through to see the "Pilot-to-Profit" framework. 👉

If your organization is stuck in the pilot phase, which of the three hurdles in the carousel is holding you back? Let's discuss in the comments. 👇

#DigitalTransformation #AIStrategy #ProductManagement #ProjectManagement #OperationalAI #2026Trends

Dr. Abhinav Goel

Senior Product Consultant | Reducing Delivery Chaos & Boosting Shipping Speed by 30% | Cutting Operational Costs by 20% via AI-Driven Transformation | B2B SaaS & Enterprise Strategy

The 2026 Reality Check: Why 80% of AI Pilots Stall

AI doesn't fix a broken process. It just makes it faster and more expensive.

I’m seeing a dangerous trend since late 2025: Leadership teams throwing "Agentic AI" at "Delivery Chaos" and expecting a miracle.

Here is the cold reality: If your Jira backlog is a mess, your PRDs are vibes-based, and your tribal knowledge is scattered across Slack—AI won't save you. It will only hallucinate your failures at scale.

In my 16 years of IT execution, I’ve found that you cannot automate what you haven't governed.

This is why I use the 3P Framework (People, Process, Products) to fix the "Informatics Plumbing" before we turn on the AI engine. To get that 30% shipping increase, we don't start with prompts. We start with:

Process Sanitization: Cleaning the data debt so AI agents have a "Source of Truth" to parse.

Governance Guardrails: Defining the "People" logic so the AI doesn't ship code that breaks the API—or the bank.

Outcome Alignment: Ensuring the "Product" velocity is actually moving the needle on MRR, not just clearing tickets.

The 2026 Lesson: Don't automate the chaos. Dissolve it first.

Is your team currently building a "Digital Moat" or just an "AI-Powered Pile of Debt"? 👇

#DigitalTransformation #ExecutionGovernance #3PFramework #ProductLeadership #AIStrategy #B2BSaaS

Three years ago, I led one of the most complex "Informatics Plumbing" projects of my career: Building a Unified ESG Reporting Platform from a whiteboard sketch to a Tier-1 enterprise launch.

The "Strategy" was simple: Provide the Chief Sustainability Officer (CSO) with a real-time dashboard.

The "Execution Reality" was a battlefield of dependencies:

1. Fragmented Data: We had to pull and harmonize data from multiple legacy enterprise systems and third-party utility APIs.

2. Core Team Gridlock: I was managing dependencies across four different core teams, each with their own priorities and sprint cycles.

3. The "Unified" Challenge: We weren't just building a UI; we were building a translation layer for disparate data sets that had never "spoken" to each other before.

How we crossed the finish line: Instead of adding more meetings, we ruthlessly focused on Execution Governance. We built a "Single Source of Truth" for the program itself—synchronizing the core teams and treating the CSO's dashboard as the only north star that mattered.

The Result: We didn't just launch on time; we delivered a workable, scalable platform that turned "utility data" and "enterprise silos" into a strategic command center for the CSO.

The Lesson: You don't win by having the best roadmap. You win by managing the dependencies that the roadmap ignores.

When the "Informatics Plumbing" is messy, do you have a system to clear the pipes? 👇

#ProductLeadership #ESG #DataOrchestration #ExecutionGrit #DigitalTransformation #EnterpriseSaaS

Agile was designed for a world where humans did 100% of the thinking. In 2026, if you are still using 2010 playbooks, you aren’t "Lean"—you’re lagging.

Over the last 16 years in IT and throughout my DBA research, I’ve seen $M investments in Gen AI fail. Not because the tech was bad, but because the foundation was missing.

I call it the 3P Framework:

1. People: Moving from "Managers" to "Architects of Synthetic Teams."

2. Process: Replacing rigid sprints with "Agentic Loops."

3. Platforms: Treating LLMs as Team Synapses, not just chatbots.

Generative AI isn't a tool you "add" to a team; it’s a team member you must integrate.

I’m deep-diving into the 'Process' pillar in my upcoming book, The Fourth Wave.

What’s your biggest friction point with AI right now? Is it the People, the Process, or the Platform?

#GenAI #ProductManagement #3PFramework #DigitalTransformation #theabhinavg

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Why I’m Betting on Gemini over ChatGPT in 2026 (And why "More" isn't always "Better") 


​The AI landscape is shifting. We’ve moved from "Who’s smartest?" to "Who fits my workflow?"

​Similarweb’s January 2026 data proves it: ChatGPT’s dominance has slipped from 87% to 68% in a year, while Google Gemini has tripled its share to nearly 20%.

​As a product managment practitioner testing these tools daily, here’s my unfiltered take on why the leaderboard is changing:

​1. Google Gemini: The "Goldilocks" AI
This is now my daily driver. Gemini has mastered concise, actionable output. It provides just the right amount of information without the fluff.

​The Edge: Its integration into Google Workspace means it's an assistant that lives in my docs and emails, not just another tab.


​2. Perplexity: The "Researcher's Firehose"
An incredible fact-checker, but often overwhelming for daily management. It's like a librarian bringing you 20 books when you asked for a single answer. Great for deep dives, but can offer too much "noise" and not enough "signal."


​3. ChatGPT: The "Generic Veteran"
It started the revolution and remains a stable choice. But in 2026, it feels like the "safe, generic" option. It lacks the ecosystem-level "muscle" that Gemini uses to actually execute tasks across my projects.



​The 2026 Reality:
The "AI War" isn't about being the smartest; it's about being the most useful. Google’s "Distribution Moat" is real. When AI is built into your existing tools, the friction of switching tabs disappears.

​Do you prefer the deep-dive "Overload" of research tools, or the integrated "Just Right" flow of ecosystem AI? 👇

​#AIStrategy #DigitalTransformation #ProductManagement #Gemini3 #ChatGPT #ProjectManagement #2026Trends

In 2026, the "AI Hype" has been replaced by the ROI Inquisition. I’m currently seeing a recurring pattern in B2B SaaS and Enterprise teams: They have 20+ fragmented AI subscriptions across Marketing, Product, and Sales—most of which don’t talk to each other.

This is Shadow AI, and it is the #1 silent killer of operational margins this year.

As an execution partner, here is the "Strategic Cleaner" reality: Most "AI Transformation" projects fail because they add tools instead of orchestrating systems. When you have fragmented AI, you aren't gaining velocity; you’re just creating a new form of technical debt.

To find that 20% operational saving, we have to stop "buying" and start "rationalizing":

Audit the Redundancy: If three different departments are paying for three different "summarization" agents, you aren't scaling; you’re bleeding.

Centralize the Logic: The goal isn't to have "AI in every tool." The goal is to have a Common Logic Layer that orchestrates your delivery.

Focus on the Plumbing: Real ROI doesn't come from a chatbot. It comes from automating the "Informatics Plumbing"—status reports, risk flagging, and backlog grooming.

In 2026, the competitive moat isn't how much AI you use. It’s how much of that AI is actually tethered to a measurable business outcome.

Are you still collecting AI tools, or are you architecting an engine? 👇

#AIStrategy #DigitalTransformation #OperationalExcellence #SaaS2026 #ProductLeadership #CostOptimization

𝐒𝐢𝐥𝐢𝐜𝐨𝐧 𝐕𝐚𝐥𝐥𝐞𝐲 𝐢𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐫𝐨𝐧𝐠 𝐝𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧.


While everyone is fighting over the "smartest chatbot"... A lab in Pune just changed the future of cancer treatment.

It’s called 1Cell.Ai Inc. And it’s a masterclass in Execution.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦: Traditional diagnostics are slow and fragmented. The Solution: AI-powered "Cell Biopsies" with 1-in-a-billion precision.

𝐓𝐡𝐞 𝐒𝐭𝐚𝐭𝐬: → 70% faster results. → $16M Series A. → Nobel-Prize winning board.

𝐓𝐡𝐞 𝐑𝐞𝐚𝐥𝐢𝐭𝐲: The most impactful AI isn't "generative." It's predictive and precise.

Stop building toys. Start building systems.

What's the "Single Cell" problem in your industry?

📰 𝐀𝐩𝐩𝐥𝐞 𝐣𝐮𝐬𝐭 𝐩𝐫𝐨𝐯𝐞𝐝 𝐰𝐡𝐚𝐭 𝐈’𝐯𝐞 𝐛𝐞𝐞𝐧 𝐬𝐚𝐲𝐢𝐧𝐠 𝐚𝐥𝐥 𝐰𝐞𝐞𝐤: 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐞𝐚𝐭𝐬 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐟𝐨𝐫 𝐛𝐫𝐞𝐚𝐤𝐟𝐚𝐬𝐭.


If you’ve been following my posts this week, you know where I stand on the current AI landscape:

On Friday, I argued that Google Gemini is currently winning the "daily driver" war because of its superior execution—it doesn't just chat; it integrates and gets things done.

On Monday, I warned that 80% of AI pilots stall because companies try to build on shaky, unproven foundations instead of focusing on operational reality.
Yesterday, the world's largest tech company proved both points.

Apple’s decision to partner with Google to power Siri with Gemini is a significant admission that speed of execution matters more than building everything in-house. They realized their internal foundation wasn't ready to compete, so they swallowed their pride and orchestrated the best available external solution.

This changes the game for every Product and Strategy Leader:
  1. The "Not Invented Here" syndrome is dead. If Apple can outsource their AI brain, so can you.
  2. The new battleground isn't IQ; it's Experience. 

By late 2026, Android and iOS will share the same Gemini "logic layer." The differentiator won't be how smart the phone is, but how it applies that intelligence (Proactive Agents vs. Private Assistants).

The era of building your own foundation model is over. The era of Strategic Orchestration has begun.

See the visual breakdown of this shift below. 👇

#AIStrategy #AppleGoogle #Gemini #DigitalTransformation #ProductManagement #Leadership #Execution

Pep Guardiola doesn't tell Erling Haaland how to kick a ball. He builds a Process where the ball reaches Haaland in the "Half-space" at exactly the right micro-second.

That is the difference between a "Tool" and a "System."

In SaaS, your LLM is your Haaland. It has the raw power to score. But if your Process is broken, your "star player" just stands there waiting for a pass that never comes.

Founders often ask me: "Which AI tool should I buy?" That’s like asking: "Which boots will make my striker score?"

Instead, ask: "Is my team’s architecture designed to feed the AI the right data at the right time?"

Successful implementation is 20% Platform and 80% Process.

Are you playing "Route One" football with your AI, or are you building a system for dominance?

#ManCity #Leadership #AIStrategy #ProductLeadership #ManchesterCity #theabhinavg

Systems-Beat-Tools.pdf

The "Reactive OS" is dead. 🪦

For 40 years, we’ve been the operators. We open the apps, we click the buttons, we wait for the result. But the game just shifted with Moltbot (formerly Clawdbot).

There is a reason tech leaders are panic-buying Mac Minis right now. They aren't buying hardware; they are buying a 24/7 Digital Employee.

We are moving from SaaS (Software as a Service) to AaaS (Agent as a Service). An OS that doesn't just help you work, but actually works for you while you sleep.

If your product strategy doesn't account for "agentic" interfaces, you’re still building for the last decade.

I’ve broken down the full strategic shift on my blog. 
🔗 https://lnkd.in/gKJk6Gei

#FutureOfWork #Moltbot #AIStrategy #ProductManagement #B2BSaaS

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Christian Fischer

Abhinav Goel

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The Battle

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