✅ Delete the Work. Deploy the Agent.

AI agents aren’t responding to prompts. They’re running dashboards, sending emails, updating CRMs, and triggering workflows… all without human clicks.

While most teams are still typing commands, smart operators are handing off the execution to agents.

This week: 3 AI power plays you can apply to reclaim time and tighten execution.👇

Top 3 AI Power Moves This Week

1.  Google AI Overviews Hit 2B Users

The search game has changed. Google revealed 2 billion users now see AI-generated summaries in Search, with 100M+ using its new “AI Mode.”

✔ Why It Matters?

Your top-of-funnel visibility may no longer depend on page rank, but on whether LLMs can summarize you correctly.

✔ Run This Play:

→ Rewrite key pages for LLM readability (answer-first, structured, clean)

→ Add “summary cards” on-site that match AI layout

→ Test how your brand appears in AI Mode; adjust SEO accordingly

LLMs are the new SERP (Search Engine Results Page). Position yourself for the crawl.

2. Salesforce secures AI with Copilot Trust Layer

Salesforce launched its Copilot Trust Layer to isolate prompts, model actions, and user data. It also acquired Aylien to improve AI-driven data extraction.

✔ Why It Matters?

Enterprise AI adoption now hinges on compliance and control. Buyers want transparency: who triggered what, when, and why.

✔ Run This Play:

→ Design workflows where prompts, outputs, and data access are clearly segmented

→ Add logging and rejection logic for sensitive interactions

→ Expect “AI explainability” questions in every new RFP

The AI systems that win are the ones you can explain.

3. OpenAI’s ChatGPT Agent Becomes a Real Teammate

OpenAI launched “ChatGPT Agent,” a modular agent layer that runs code, browses the web, edits spreadsheets, and completes workflows with supervision.

✔ Why It Matters?

LLMs just graduated from assistant to operator. These agents link actions across apps, like fetching Stripe payouts, summarizing them, and sending the results with no manual input.

✔ Run This Play:

→ Deploy a Stripe → Notion → Email pipeline using GPT-4 and Zapier

→ Add approval rules and action logs for auditability

→ Track time reclaimed across your team

You’re not automating the task. You’re removing it.

AI-ducation

When Should an Agent Act vs Ask?

Agentic AI isn’t just about automation. It’s about delegation. And great delegation depends on decision logic.

Most teams focus on what agents should do. Few define when agents should do it, or if they should ask first. That’s where breakdowns happen.

Smart systems build a control layer that separates:

• Auto-completion (safe, repeatable, low risk)

• Ask-for-review (medium risk, user dependent, uncertain inputs)

• Escalation (exceptions, sensitive actions, failed logic)

That’s not overkill. It’s what lets agents run with autonomy without breaking things.

Whether you're building agents for customer support, finance, HR, or reporting, trust is earned through judgment.

And judgment is built by:
Mapping Intent → Confidence → Next Action

TAIN Playbook – 3 Steps to Apply It Today:

✅ Step 1: Choose a 4–6 step process (e.g. onboarding, ticket triage, weekly reporting)

✅ Step 2: Label each step: Act, Ask, or Escalate based on risk and ambiguity

✅ Step 3: Create fallback logic: approval triggers, context logging, or human handoff

Great agents don’t act blindly. They act with purpose.

AI in Action

How Sappi Replaced 60 Minutes of Reporting With 1 Agent

Sappi, a global paper and packaging manufacturer, built an internal agent called, “Hermes,” that reduced a weekly report from 60 minutes to under 3.

✔ How They Did It?

• Hermes pulls financial data across systems

• Formats slides and refreshes deliverables on command

• Built using UiPath + internal APIs with AI summarization layered in

• Scaled from finance to ops within weeks

✔ TAIN’s Take

 If you send a recurring report, sales update, board brief, or compliance pack, you can automate it:

✅ Identify one 30–60 min workflow you run every week

✅ Build an agent to pull, format, and deliver the asset

✅ Wrap with Slack or PDF output and simple rollback triggers

→ Reply with “Workflow” to scope a system like this for your team.

AI Tools

Multiply Output Without Burnout

1. Apollo.io
AI prospecting + free outbound strategy masterclass
→ Launch scalable outreach with AI = less gruntwork, more replies
→ Bonus: Free masterclass on building world-class outbound

✅ Best for: Growth pros layering AI into GTM

2. Reclaim.ai
AI calendar + 20% off for 6 months if you switch
→ Auto-schedules focus time, habits, & meetings. Built for execs tired of calendar chaos
→ Bonus: Switching tools? Get 20% off for 6 months

✅ Best for: Busy operators replacing Calendly or Motion with smarter automation

Note: Some links are affiliate. We only recommend tools we’ve tested and trust to drive real ops results.

Thanks for reading!

That’s a wrap for this week’s The AI Newsroom.

The goal? Help you move faster, build smarter, and cut the grunt work.

If there’s something you want more of—tools, strategy, or use cases—just hit reply and let me know.

- Jason Smircich

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