✅ Steal These 3 AI Plays

The hype cycle is over. AI is now driving real revenue, real workflow shifts, and real adoption across the enterprise.

This week’s issue breaks down 3 strategic AI plays worth copying. From agent-powered workflows to revenue-driving feature launches.

These aren’t headlines. They’re moves you can use now.👇

Top 3 AI Power Moves This Week

1. Salesforce Goes All-In on Workflow Agents

Salesforce announced plans to acquire Regrello, an AI-native automation startup focused on multistep business processes. The move gives Salesforce instant access to agentic tech that can execute tasks across customer, ops, and finance stacks.

Why It Matters?

Salesforce is going beyond LLMs and chatbots. With Regrello, it’s embedding real automation into enterprise pipelines.

Takeaway:

→ Build or acquire workflow agents aligned to existing systems

→ Prioritize deep integration, not shiny bolt-ons

→ Use proven automation ROI to justify expansion

2. Google Turns Search Into an AI Agent

Google expanded its “AI Mode” across global markets, now offering personalized agent-like behaviors handling tasks, pulling data, and anticipating user needs directly within Search.

Why It Matters?

Search isn’t about keywords anymore. It’s turning into your AI concierge. Expect user expectations to follow.

Takeaway:

→ Embed AI where user intent is obvious and outcomes measurable

→ Design for proactivity, not just response

→ Revisit your own “search box” and ask where can AI do more

3. Zoom’s AI Bet Pays Off

Zoom raised its full-year revenue and earnings guidance on the back of strong enterprise demand for its AI Companion tools used in meetings, note capture, and follow-ups.

Why It Matters?

AI is no longer a cost center. It’s now a forecast booster. Companies are paying for real productivity enhancements.

Takeaway:

→ Track AI features' direct impact on revenue, not just time saved

→ Use AI to deepen core product usage, not as add-ons

→ Let user behavior guide where AI lives next

AI-ducation

Why 95% of AI Pilots Fail and How to Flip the Script

MIT’s August report shows 95% of generative-AI pilots are still failing in enterprise despite better models and hype. The root cause? Poor use-case design, unclear metrics, and zero adoption planning.

Here’s how to do it differently

→ Start with impact, not novelty

Choose one critical workflow: sales prospecting, customer onboarding, vendor compliance. Anchor to a business KPI from day one. AI that touches revenue or risk gets buy-in fast.

→ Embed human-in-the-loop from the beginning

AI can draft, propose, filter but humans approve. Governance isn’t optional. It's your reliability moat. Set up escalation paths and review checkpoints from day one.

→ Track full-cycle value, not just time saved

Time saved is a false win. Measure reduction in error rates, improvement in SLAs, or revenue lift. Then scale what actually works not what feels good in a demo.

✔ Bottom line

You don’t need AI transformation. You need one needle-moving win. Start small, prove value fast, and scale from confidence not speculation.

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AI in Action

India’s AI Strategy = Moats, Not Mayhem

At the ET Soonicorns Summit, India’s top execs reframed AI not as job-killer but as a sovereignty engine. The focus: domestic AI stacks, talent upskilling, and long-term data moats.

How They Did It

→ Linked AI to national strategy, not just corporate roadmaps

→ Elevated moats as key to enterprise defensibility

→ Shifted hiring focus to augmentation, not replacement

Why It Matters

This is AI as industrial policy, not just tech buzz. That mindset shift has deep implications for business leaders with global exposure or regulatory oversight.

TAIN’s Take

→  Build AI as a moat, not just a feature

→ Localize when data, policy, or market trust demand it

→ Train teams for augmentation, not replacement. They’ll adopt faster

✔Bottom line

Sovereign AI isn’t just for governments. It’s a lesson in strategic framing every operator should study.

Poll + Thanks for reading!

Thinking about expanding the newsletter into more actionable playbooks and tools, but only if it’s useful to you.

Which one sounds most helpful for you right now?

1. How real companies are using AI
→ Playbooks you can adapt and steal

2. AI systems by role
→ Templates for founders, marketers, ops, etc.

3. One great AI tool each week
→ 1 tool, 1 use case, fast setup

Reply with 1, 2, or 3. That’s it. Helps me shape what comes next.

That’s this week’s AI Newsroom. Built to help you move faster, work smarter, and stay ahead of the AI curve.

Stay sharp. Move fast.
- Jason Smircich