Are you automating for speed - or for success?

If you've felt the sting of scaling a messy process, you're not alone.

Chat below about how to avoid the pitfalls of "AI acceleration" to get it right.

#salesforce #agentforce #ai #disruption #innovation

3. Think about outcomes. Are you designing for efficiency or for an exceptional customer experience?

AI can be your greatest ally, but only if you're prepared to wield it responsibly.

This is why I emphasize process-led AI adoption with every client:

1. Map the steps. What is the process solving for? Where are the gaps?

2. Govern your data. Bad garbage data feeds bad decisions, AI or not.

And what it multiplies depends entirely on the foundation you've built:

1. If your processes are clear and customer-centric, AI enhances them.

2. If your processes are unclear or outdated, AI scales the chaos.

Here's the hard truth: If your underlying processes are broken, automating them with AI doesn't fix the problem.

It makes it worse.

Faster mistakes, higher costs, and amplified inefficiencies.

AI is not a silver bullet.

It's a multiplier.

The question isn't if AI will transform your business, but when you'll let it.

And your competitors aren't waiting.

What's your biggest concern about implementing AI in your startup?

#AIStrategy #StartupLife #TechLeadership #GenerativeAI #FutureOfWork #StartupFounder #Salesforce

3. Code generation accelerating dev workflows by orders of magnitude.

This isn't academic theory anymore.

Companies deploying AI + RAG systems are seeing verified results with minimal hallucinations.

We're not in the trough of disillusionment - we're in a Cambrian explosion of innovation.

Thanks to Jon for the privilege to join his great podcast.

#salesforce #podcast #innovation

www.youtube.com/watch?v=Daw2...

open.spotify.com/episode/1XN2...

The future developer orchestrates rather than codes.

Are you prepared to conduct this new tech symphony?

#AITransformation #TechEvolution #FutureOfCode #UpskillingInTech

Essential skills to master:

1. RAG: Enhance AI with verified data

2. Prompt Engineering: Craft precise AI instructions

3. Vector Databases: Power intelligent data retrieval

4. System Architecture: Design AI-integrated solutions

5. AI/ML Foundations: Understand your new tools

1. Wave 1 (Now): AI augments coding, boosts senior dev productivity

2. Wave 2 (Next): AI agents automate routine tasks, code becomes mostly AI-generated

3. Wave 3 (Future): AI-native development demands new "AI Engineers"