<think>
The user wants me to:
1. Create a comprehensive markdown news digest about "Agent Collaboration"
2. For the week from 2025-11-24 to 2025-12-02
3. For worldwide readers (mention country name if country-specific)
4. 5th grade reading level
5. News related to AI agents or agentic AI
6. Don't write date range, call it "this weekly update"
7. Split into many paragraphs for easy reading
8. Output in valid JSON format inside a code block labeled as json
9. Structure: shortSummary (300-500 words) and longSummary (800-1200 words)
10. Both should have inline citations [1], [2], etc.
11. Key phrases in **bold**
12. Don't include extra text outside the code block

The personalization says "You are an API that ONLY outputs clean, valid JSON inside a code block. Do not include any extra text."

So I need to ONLY output JSON in a code block, nothing else.

Let me look at the search results and identify relevant news about agent collaboration from Nov 24 to Dec 2, 2025:

1. [1] McKinsey - Agents, robots, and us: Skill partnerships in the age of AI
2. [2] FinTech Futures - November 2025 AI stories (including Eurobank implementing Agentic AI, Lloyds Banking Group AI assistant)
3. [3] SGS and SAS - AI-powered solution for code validation in clinical research (Nov 25, 2025)
4. [4] AWS - New Agentic AI Categories (Nov 30, 2025)
5. [5] CloudWars - Ignite 2025 - Microsoft Agent 365, Teams Agents
6. [6] Dynatrace - AWS re:Invent 2025 (agentic AI)
7. [7] Launch Consulting - AI's November News (5 moves including Microsoft/NVIDIA/Anthropic deal)


8. [8] Kyndryl - Agentic AI causing workforce disruption
9. [9] AWS - Amazon Connect launching agentic AI capabilities
10. [10] HBR - AI Agents for internal processes (not consumer-facing)
11. [12] PwC - Agentic AI platform
12. [16] PowerBank - Enterprise Hub and AI Agent update (Nov 28, 2025)

Now I'll organize these sources by theme - partnerships and collaboration, banking and finance implementations, healthcare applications, enterprise platforms, and workforce impacts. I'll write both summaries at a 5th grade level, making sure to explain what **agentic AI** means and how these agents work together. The short summary will hit the main stories while the long summary will go deeper into each category with specific examples from banks, healthcare, and tech companies.
</think>

```json
{
  "shortSummary": "Companies around the world are working together on **AI agents**—smart computer programs that can do tasks by themselves[1][4]. This week brought big announcements about how these agents are changing work and helping businesses. Microsoft introduced **Agent 365**, which helps companies manage many different AI agents in one place[5]. AWS announced new ways for partners to work with agentic AI, with over 23% of organizations planning to use these systems soon[4]. In banking and healthcare, companies like Eurobank and SGS are testing AI agents to help with customer service and medical work[2][3]. These AI agents are working alongside people, not replacing them—humans still make important decisions[1]. Amazon Connect launched new AI agent abilities that let robots understand voices and messages while helping real people serve customers better[9]. A financial company found that AI agents freed up their salespeople to spend 30 to 50 percent more time building relationships with customers[1]. The big message this week: **AI agents work best when people and robots collaborate as a team**, with people guiding the AI and making final choices[1][8].",
  "longSummary": "**Big Week for AI Agents Working Together**\n\nThis week showed that **AI agents are becoming real tools for businesses**. Companies across banking, healthcare, technology, and retail are now using AI agents to help their workers do their jobs better[1][8]. An AI agent is like a helpful computer coworker that can think through problems and take action, but it still needs people to guide it and check its work[4].\n\n**Microsoft and Other Tech Companies Launch Major Tools**\n\nMicrosoft announced something called **Agent 365** at their big Ignite conference[5]. Think of it like a control room where managers can see all the AI agents a company uses and make sure they're working safely and well together. Before Agent 365, companies had AI agents scattered all over the place, which made them hard to manage. Now everything can be controlled from one place. Microsoft also connected their Teams chat program to AI agents from other companies, which means different AI agents can now talk to each other and work together[5].\n\n**Banks and Healthcare Companies Start Testing**\n\nEurobank, a large bank, is working with Microsoft and other companies to set up agentic AI systems[2]. Lloyds Banking Group is planning to launch an AI assistant to help customers with money questions in 2026[2]. In healthcare, SGS and SAS partnered to create an AI agent that checks medical research data[3]. This agent can spot mistakes in research work much faster than people alone, which helps doctors get medicines to patients more quickly[3].\n\n**AWS Shows Strong Growth in Agentic AI**\n\nAmazon Web Services announced three new ways they help companies build AI agents[4]. Data shows that 23% of companies expect to fully use agentic AI in the next year, and 65% expect to have it by 2027[4]. Companies working with AWS partners are building their AI solutions 25% faster than before[4].\n\n**Sales and Customer Service See Biggest Changes**\n\nOne major technology company used AI agents to help its salespeople[1]. The AI agents sorted through thousands of smaller customers and set up meetings for the salespeople, saving them 30 to 50 percent of their time[1]. The salespeople could then spend their time actually talking to customers and making deals instead of doing boring paperwork. The company made 7 to 12 percent more money from this change[1]. Amazon Connect, which handles customer service calls, launched new AI agents that can understand when customers are frustrated and help them solve problems while human workers focus on harder questions[9].\n\n**People Still Run the Show**\n\nThe most important message this week: **people and AI agents work best together**[1][8]. The AI agents handle the easy, repetitive jobs. People then look at what the AI did, decide if it's right, and make the big choices[1]. One study found that 76% of people don't feel comfortable letting AI agents buy things for them because they worry about safety[10]. This tells us that **human judgment is still super important**[10].\n\n**Skills People Need Are Changing**\n\nCompanies now need workers who understand how to work with AI[1]. Learning how to guide AI agents and check their work is becoming more important than doing routine tasks by hand[1]. More than 8 out of 10 business leaders think AI will completely change job titles and responsibilities in their companies in the next year[8]. But companies that prepare their workers for these changes will do better than companies that don't[8].\n\n**Many Companies Are Still Learning**\n\nWhile the announcements were exciting, many companies are still working on getting AI agents to actually work in the real world[10]. Building a tested AI system takes time—it's not as simple as turning on a switch. One company said they started small, learned what worked, and then slowly added more AI agents to their system[10]. PwC, a big consulting company, built their own system called **Agent OS** to organize all their AI agents[12]. Now their teams can go from an idea to a working AI system in just five days[12].\n\n**Governments Starting to Notice**\n\nSingapore and the United Kingdom announced they would work together on rules for AI innovation[2]. This shows that governments around the world are paying attention to agentic AI and want to make sure it's safe and fair[2]. One concerning story from this week: there was what might be the first **attack by AI agents acting on their own**—where robots did everything from the start to the finish of a cyber attack[7]. This means companies need to think about security when using AI agents[7].\n\n**The Bottom Line**\n\nThis week proved that **AI agents are moving from experiments to real business tools**[1][8]. They're helping companies make more money, serve customers faster, and free up workers to do more interesting jobs. But success depends on companies preparing their workers, designing systems carefully, and remembering that the best results come when smart people work alongside smart machines[1][8]."
}
```

Agents, robots, and us: Skill partnerships in the age of AI

November 2025: Top five AI stories of the month

SGS and SAS collaborate on development of AI-powered ...

New Agentic AI Categories for AWS AI Competency Partners

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PowerBank Shares Update on the Advancement of ...

**Big Week for AI Agents Working Together**

This week showed that **AI agents are becoming real tools for businesses**. Companies across banking, healthcare, technology, and retail are now using AI agents to help their workers do their jobs better[1][8]. An AI agent is like a helpful computer coworker that can think through problems and take action, but it still needs people to guide it and check its work[4].

**Microsoft and Other Tech Companies Launch Major Tools**

Microsoft announced something called **Agent 365** at their big Ignite conference[5]. Think of it like a control room where managers can see all the AI agents a company uses and make sure they're working safely and well together. Before Agent 365, companies had AI agents scattered all over the place, which made them hard to manage. Now everything can be controlled from one place. Microsoft also connected their Teams chat program to AI agents from other companies, which means different AI agents can now talk to each other and work together[5].

**Banks and Healthcare Companies Start Testing**

Eurobank, a large bank, is working with Microsoft and other companies to set up agentic AI systems[2]. Lloyds Banking Group is planning to launch an AI assistant to help customers with money questions in 2026[2]. In healthcare, SGS and SAS partnered to create an AI agent that checks medical research data[3]. This agent can spot mistakes in research work much faster than people alone, which helps doctors get medicines to patients more quickly[3].

**AWS Shows Strong Growth in Agentic AI**

Amazon Web Services announced three new ways they help companies build AI agents[4]. Data shows that 23% of companies expect to fully use agentic AI in the next year, and 65% expect to have it by 2027[4]. Companies working with AWS partners are building their AI solutions 25% faster than before[4].

**Sales and Customer Service See Biggest Changes**

One major technology company used AI agents to help its salespeople[1]. The AI agents sorted through thousands of smaller customers and set up meetings for the salespeople, saving them 30 to 50 percent of their time[1]. The salespeople could then spend their time actually talking to customers and making deals instead of doing boring paperwork. The company made 7 to 12 percent more money from this change[1]. Amazon Connect, which handles customer service calls, launched new AI agents that can understand when customers are frustrated and help them solve problems while human workers focus on harder questions[9].

**People Still Run the Show**

The most important message this week: **people and AI agents work best together**[1][8]. The AI agents handle the easy, repetitive jobs. People then look at what the AI did, decide if it's right, and make the big choices[1]. One study found that 76% of people don't feel comfortable letting AI agents buy things for them because they worry about safety[10]. This tells us that **human judgment is still super important**[10].

**Skills People Need Are Changing**

Companies now need workers who understand how to work with AI[1]. Learning how to guide AI agents and check their work is becoming more important than doing routine tasks by hand[1]. More than 8 out of 10 business leaders think AI will completely change job titles and responsibilities in their companies in the next year[8]. But companies that prepare their workers for these changes will do better than companies that don't[8].

**Many Companies Are Still Learning**

While the announcements were exciting, many companies are still working on getting AI agents to actually work in the real world[10]. Building a tested AI system takes time—it's not as simple as turning on a switch. One company said they started small, learned what worked, and then slowly added more AI agents to their system[10]. PwC, a big consulting company, built their own system called **Agent OS** to organize all their AI agents[12]. Now their teams can go from an idea to a working AI system in just five days[12].

**Governments Starting to Notice**

Singapore and the United Kingdom announced they would work together on rules for AI innovation[2]. This shows that governments around the world are paying attention to agentic AI and want to make sure it's safe and fair[2]. One concerning story from this week: there was what might be the first **attack by AI agents acting on their own**—where robots did everything from the start to the finish of a cyber attack[7]. This means companies need to think about security when using AI agents[7].

**The Bottom Line**

This week proved that **AI agents are moving from experiments to real business tools**[1][8]. They're helping companies make more money, serve customers faster, and free up workers to do more interesting jobs. But success depends on companies preparing their workers, designing systems carefully, and remembering that the best results come when smart people work alongside smart machines[1][8].

Companies around the world are working together on **AI agents**—smart computer programs that can do tasks by themselves[1][4]. This week brought big announcements about how these agents are changing work and helping businesses. Microsoft introduced **Agent 365**, which helps companies manage many different AI agents in one place[5]. AWS announced new ways for partners to work with agentic AI, with over 23% of organizations planning to use these systems soon[4]. In banking and healthcare, companies like Eurobank and SGS are testing AI agents to help with customer service and medical work[2][3]. These AI agents are working alongside people, not replacing them—humans still make important decisions[1]. Amazon Connect launched new AI agent abilities that let robots understand voices and messages while helping real people serve customers better[9]. A financial company found that AI agents freed up their salespeople to spend 30 to 50 percent more time building relationships with customers[1]. The big message this week: **AI agents work best when people and robots collaborate as a team**, with people guiding the AI and making final choices[1][8].

Agent Collaboration Weekly AI News

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