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- The era of the AI Agent Manager is here
The era of the AI Agent Manager is here
Also, how to scale up research and report preparation
Welcome back, HyperAgent. The world is moving fast; it is up to us to keep updated with the latest news and trends. But it's also up to you to keep yourself educated on how to work with the latest news and trends. This week, we explore how you can prepare to become manager of AI Agents and teach you how to prepare for important research, report generation, and presentations.
Today’s Insights
Are you ready to become the Manager of AI Agents?
AI is your career co-pilot—master it to master your future
Interview-glasses lets you ace any job interview
Future symptom solver for medical claims?
AI FOR INSURANCE PROFESSIONALS THIS WEEK
🔝 Ai rises to the top of insurers’ tech agendas
Two-thirds of senior insurance executives now rank AI as their number-one technology and innovation priority, according to the International Insurance Society’s 2025 Global Priorities Survey—up from just 17 percent in 2021. Carriers that master AI will set the pace, while slow movers risk falling out of the race.
Here is what you need to do to jump the AI bandwagon::
Build your AI literacy. Block one hour a week to read, watch, or take a micro-course on core AI concepts. Read this newsletter, too 😎
Experiment in low-risk areas. Use AI copilots for tasks like document review or market research to score quick wins.
Map one “high-value” use case. Pick a process that is data-heavy and repetitive—claims triage, for example—and sketch how AI could streamline it.
Talk to your tech team. Ask what data, tools, and talent gaps you need to close to take that use case live.
Share results with peers. Turning early lessons into case studies helps you build momentum and keeps the organisation aligned.
The IIS surveyed nearly 20,000 insurance leaders worldwide. Respondents picked their top three issues across six priority categories. AI emerged as the single most important issue, leapfrogging perennial worries such as inflation and cyber security. Executives cite AI’s power to cut costs, strengthen analytics, and fuel new-product growth—making it indispensable for competitiveness in 2025 and beyond.
🎩 Are you ready to become the Manager of AI Agents?
AI agents have moved from “nice-to-have copilot” to “core head-count.” Microsoft’s 2025 Work Trend Index finds that 82 % of business leaders say this is the year they must redesign strategy and operations for digital labor, and 81 % expect agents to be deeply woven into workflows within 18 months. The firms already doing this—the report calls them frontier firms—are growing faster and reporting higher employee optimism than everyone else.
Microsoft segments the AI Agents into three phases:
Phase 1 – Assistant agents (copilots) Perform one step at a time—draft an email, summarize a policy, pull loss-run data. They sit beside you, shaving minutes off familiar tasks so you can move quicker without changing the workflow itself.
Phase 2 – Digital-colleague agents (task owners) Handle an entire task or mini-project when you give the order. They plan the steps, loop through data sources, and return a finished work product—a researcher agent creating a go-to-market deck, or a quoting agent that prices a mid-market fleet submission. You steer; they drive the task.
Phase 3 – Autonomous process agents (workflow owners) Run whole business processes end-to-end while you oversee the exceptions. Think of a chain of agents that triage, investigate, and pay simple motor claims without human touch, calling you in only when judgement or empathy is required. Humans set direction; the agent system executes at scale.
What this means for insurance
Insurance is tailor-made for phase-two and phase-three agents. Structured data, rule-based decisions, and repeatable workflows let agents quote, underwrite, or settle straightforward claims in minutes. No wonder 77 % of insurance executives are already somewhere on the AI-adoption curve, up sharply from 61 % a year ago. Early movers report quicker cycle times and fresher capacity for human judgment—exactly where client trust is won or lost.
Your next moves
Learn to lead agents. Treat them like junior analysts: set goals, check output, refine prompts.
Re-write KPIs. Track NPS lift, loss-ratio impact, and turnaround time instead of inbox volume.
Invest in AI literacy. Certifications in Azure/OpenAI, agent-workflow design, and prompt engineering are already showing up in job specs.
Own the culture shift. Run a small pilot, share the metrics, and coach peers—leaders who normalize agent work become the next execs.
Agents won’t replace you; they’ll promote the people ready to manage them. The sooner you act, the sooner you trade busywork for business impact.
CUTTING-EDGE AI
Anthropic CEO Dario Amodei published a new blog highlighting the critical need for "mechanistic interpretability" in AI, arguing that understanding models’ inner workings could become humanity’s safeguard as they grow increasingly powerful.
Amodei stressed that AI is different from traditional software because decision-making emerges organically, making its operations unclear even to creators.
He revealed that Anthropic has mapped over 30M "features" in Claude 3 Sonnet, representing specific concepts the model can understand and process.
The CEO compared the ultimate goal to creating a reliable “AI MRI” for diagnosing models and better understanding their “black box”.
He said AI is advancing faster than interpretability, leaving us unprepared for AI systems like a “country of geniuses in a datacenter,” coming as early as 2026.
This is directly relatable to insurance companies because insurers have the responsibility of explainability (meaning that they need to be able to explain why underwriting models and claim decision models are acting the way they are). If you start using AI to support these decisions, insurers need to be able to explain why these decisions have been made by the AI.
Anthropic has been leading the charge on AI safety, and Amodei’s essay frames understanding models’ inner workings as not just a technical challenge but a prerequisite for safely deploying their advanced versions. The question is if the other frontier labs will be as patient — and so far the answer has been no.
THE INSURANCE AI ACADEMY
Your perfect AI research assistant - for free
Google NotebookLM is an integrated research workspace. It lets you bring all the background material for a project—documents, slide decks, web pages, YouTube transcripts—into a single notebook and query that content in plain language. One notebook can hold up to 50 individual sources totalling about 25 million words, so even large policy libraries or multi-year project files fit comfortably.
Why it belongs in your preparation toolkit
When insurance teams scope a new product, redesign a claims process, or assess a regulatory change, information is often scattered across SharePoint folders and email threads. Notebook LM removes that fragmentation. Once your sources are uploaded, you can:
ask targeted questions (“Which clauses in these circulars impact flood extensions?”) and receive answers linked back to the original passage;
generate briefing notes or FAQs that cite every source used;
listen to an Audio Overview—a short spoken summary of the material—while travelling between client meetings.
Typical insurance-sector use cases
Regulatory impact reviews: Upload supervisory circulars and past position papers; query the notebook for clauses that raise reserving or disclosure requirements, then export a concise impact memo for the compliance team.
Product-development research: Combine market studies, loss-cost data, and competitor wordings. Notebook LM surfaces contrasting limits, exclusions, or pricing assumptions so you can spot differentiation opportunities sooner.
Large-loss retrospectives: Gather adjuster reports, engineering surveys, and legal correspondence. Ask the notebook to outline common root causes and recommend preventive wording changes.
Board-level briefing packs: Feed in actuarial slides, risk-committee minutes, and external ratings commentary. Generate a digest with inline citations, ensuring leadership sees the evidence behind each recommendation.
Getting started
Create one notebook per initiative (e.g., “2026 Motor Product Launch”).
Upload the ten–fifteen core documents everyone refers to first.
Use the chat pane to draft a two-page concept note; follow each citation back to verify accuracy.
Schedule a short weekly slot to add new sources so the notebook stays current.
YOUR CAREER, YOUR FUTURE
AI is your career co-pilot—master it to master your future
Generative AI has rapidly evolved from a technical productivity booster to an essential personal and professional companion. In 2025, real-world use cases show AI being used to organize daily life, provide emotional support (like therapy and companionship), enhance learning, and help individuals find personal meaning—all while becoming cheaper, faster, and more customized through innovations like custom GPTs, chain-of-thought reasoning, and broader voice command integrations.
Highlights:
Top Use Cases: Therapy, organizing life, enhanced learning, healthier living, and finding personal purpose now dominate how people use GenAI.
Shift to Human-Centric Applications: The most common uses are emotional, relational, and self-improvement driven—AI is helping users not just do more, but be more.
Wider Adoption: Costs have fallen, access has widened, and users have grown more sophisticated, blending caution (privacy concerns) with higher expectations for AI as a personal agent.
Agentic Future: There’s a growing desire for AI tools to act (not just advise)—hinting that task-execution by AI will be the next major wave.
What does this mean for insurance professionals?
Insurance is about relationships, guidance, and proactive service, and GenAI is moving straight into that territory. If clients are already using AI to manage their emotions, their goals, and their learning, they will expect insurers and agents to be just as responsive, personalized, and proactive.
Customer Expectations Will Skyrocket: Clients will expect real-time, empathetic, highly personalized advice—delivered faster and more thoughtfully, often with AI-powered tools on the front lines.
Your Daily Work Will Shift: Manual workflows (claims processing, policy drafting, underwriting support) will increasingly be handled or accelerated by AI. Your value will lie in coaching the AI, spotting exceptions, and adding human judgment.
Career Growth Depends on AI Literacy: Professionals who can guide, correct, and optimize AI outputs—not just use them—will rise fastest. Understanding AI-driven personalization will be key to leading client relationships and internal projects.
Privacy and Trust Are Your Differentiators: Clients are wary about data use. Insurers who demonstrate transparent, ethical AI practices will build stronger loyalty and trust.
AI isn’t taking your job. It’s giving you a chance to do the meaningful work that clients actually value most. But you’ll need to adapt, upskill, and rethink how you deliver insurance services in a human-centered, AI-augmented world.
👀 AI Agent of the week: Find and enrich LinkedIn professionals automatically
Looking to find people with a certain job title or job function in a specific industry in a specific area of the world? Look no more. The AI agent of the week automates and enriches LinkedIn profiles with contact details based on a very simple search. Try it here. Good for job hunting and corporate outreach
PRODUCTIVITY TOOLS AT HOME AND AT WORK
Linda: Turn conversations into short, shareable podcast episodes. Linda will interview you through a guided process and then turn the results of the interview into a podcast.
PageOn: Al-Powered visual content creation. With just text input and Al conversation, effortlessly tackle complex tasks in minutes, from presentation content to visual charts.
Perplexity on WhatsApp: Perplexity is now available for you to chat with directly on WhatsApp.
PROMPT OF THE WEEK
Resolve workplace conflicts:
Prompt: Act as a workplace conflict resolution expert and leadership coach. I’m dealing with a conflict at work involving [briefly describe the situation]. Help me analyze the root cause of the conflict from multiple perspectives — including mine, the other party’s, and the team’s. Suggest communication strategies to de-escalate the situation, rebuild trust, and move forward constructively. Include psychological or emotional intelligence techniques (like reframing, active listening, or “I” statements), as well as a step-by-step conversation plan. If relevant, offer advice on when to involve a third party and how to document things professionally. End with one reflection question I should ask myself to grow from this experience, and one small action I can take today to reduce tension.WHAT’S TRENDING
Storm Trooper: Japan has successfully tested the world's first drone system that can trigger and safely guide lightning strikes. This breakthrough technology could help prevent the estimated $702M to $1.4B in annual lightning damage across Japan - time to rethink policy wordings and premiums.
Symptom Solver for medical claims? The Microsoft-supported non-profit Foundation 29 just unveiled a tool called DxGPT that lets you input your symptoms to get a list of possible diagnoses — and it even works for rare illnesses.
AI-first (one more): Just like Shopify, the CEO of language-learning app Duolingo declared that his company is now officially AI-first, meaning employees and prospective hires will be evaluated based in part on their AI expertise.
Ace your next interview: Eighteen-year-old builder Eddy Xu claims he just created “AI interview glasses” that can clone your voice and answer technical interview questions in real time.
AI IMAGES OF THE WEEK
Dubai-based aggregator InsuranceMarket.ae has been announced as an insurance Superbrand. See if you can spot the mascot.
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