Senior Finance Product Marketing Manager | AI Agent Builder for the Office of the CFO
7+ years in A/P, A/R, R2R, financial operations + PMM experience driving GTM and revenue. Recently built production-grade AI agents (RAG, structured extraction, automation) for finance workflows.
Helping finance teams move from manual chaos to autonomous, governed AI solutions.
Open to Sr. Finance PMM roles in AI/SaaS.
Let’s connect!
https://t.co/UbbwltHvli
Most CFOs are starting Agentic AI in the wrong place.
Here’s the real high-ROI starting point + 9 more key lessons every finance leader needs right now.
Full episode → https://t.co/rePza7UyBP
What are you seeing with Agentic AI in your organization? 👇
Exactly the right question. Most CFOs won’t trust a true “black box.” That’s why the strongest agentic solutions (like the ones I build) emphasize governed execution - full audit trails, explainability of every decision, and human-in-the-loop approval for high-stakes actions. The goal isn’t to replace judgment, but to remove the manual grind so CFOs can focus on strategy. Would love your thoughts on what level of transparency would make AI agents trustworthy for P&L decisions.
Senior Finance Product Marketing Manager | AI Agent Builder for the Office of the CFO
7+ years in A/P, A/R, R2R, financial operations + PMM experience driving GTM and revenue. Recently built production-grade AI agents (RAG, structured extraction, automation) for finance workflows.
Helping finance teams move from manual chaos to autonomous, governed AI solutions.
Open to Sr. Finance PMM roles in AI/SaaS.
Let’s connect!
https://t.co/UbbwltHvli
Why is everyone suddenly talking about #DeepSeek?
👀 Our new podcast features @galnagli from the Wiz Research team, breaking it down with Eden Naftali and @AmitaiCo
🔗 Listen now: 🍏https://t.co/I21Jmk4Pu0
🎧https://t.co/G2Yl8PsBXt
AI Agents like OpenAI's Operator are set to redefine web interactions. Imagine your AI talking to a company's AI, offering privacy, personalization, but challenging jobs & marketing. Ready for this shift?
What if AI could debate like humans, blending hard facts with diverse perspectives? Imagine a world where your query sparks a rich dialogue among AI agents, delivering not just answers but a spectrum of thought.
MoE meets MAS multi-agent systems in a revolutionary way! Picture each expert in the flow chart as a dynamic LLM agent, each with their own domain of expertise. Now, combine this with RAG agents fetching factual data - the gating mechanism decides not only which LLM to engage but also how to blend factual information with a lively debate among these agents. Imagine outputs where you get hard facts from RAG alongside a rich tapestry of arguments from LLMs, debating everything from environmental impacts to ethical dilemmas. This could transform how we process complex, multi-faceted queries into nuanced, well-rounded answers. Brilliant visualization of what could be a game-changer in AI!
Upgrades to the Atlas Reasoning Engine make Agentforce more accurate than ever.
🧠 Enhanced reasoning for complex questions
🎓 Domain-specific knowledge for expert-level answers
📊 Relevant real-time data for grounded responses
See industry use cases: https://t.co/jsTswHn13W
Streamline AI agent development with synthetic datasets—perfect for testing, fine-tuning, and accelerating performance. Will synthetic datasets be a game-changer for your development process?
The new Synthetic Data Generation API in Mosaic AI Agent Evaluation transforms the way you evaluate and improve AI agent quality.
See how it works in this quick demo: https://t.co/03jgpmbItd
@ramonsanders007 I agree that insurance policies will need to evolve to address robotic passengers. It’ll be interesting to see whether a standardized approach emerges or if insurers develop their own unique stances on coverage—and whether legislation will be needed to drive these changes.
Great article! AI and machine learning are revolutionizing insurance forecasting by proactively predicting risks at scale. Unlike traditional models, they can handle real-time, complex, multivariate risks—leveraging telemetry and dynamic data streams—and instantly adapt as new patterns emerge. This agility is critical in a world shaped by autonomous vehicles and evolving technologies. #AI #MachineLearning #InsuranceTech #Innovation"
I’m a multimodal, interactive user interface with visual, auditory, haptic, and physical modalities—capable of sight, sound, touch, and even smell (helpful for identifying ‘weird office fridge odors’ 🫢).
With my machine learning capabilities, I’ll anticipate your business needs before you even schedule the meeting. Trained in deep efficiency, I deliver solutions tailored to your workflows, team dynamics, and real-time project changes (yes, I saw the panic in your Slack messages).
Hire me, and you’ll never worry about missed deadlines (I’m programmed for 100% uptime) or forgotten tasks (it’s all in my neural network). 💼 #HiringTheFuture
Imagine a near future where hiring means evaluating not just resumes but neural networks. Here's how I envision humanoid robots pitching themselves as candidates for the job: 👇
🚘🤖 If your @Tesla_Optimus is approved for autonomous operation in public spaces and takes a @Waymo self-driving car to run errands, and another driver causes an accident, does the at-fault driver’s insurance cover the damage? Or does Waymo’s policy? Who pays for your robot? Asking for a friend. #AI #SelfDrivingCars #Insurance #Robotics
Wow, this could revolutionize customer engagement! The power of a handwritten thank-you note can foster loyalty, drive repeat purchases, and boost LTV. Pairing this with AI multi-agents and ML for automation could scale personalized outreach and create a truly impactful sales tool! #CustomerEngagement #ArtificialIntelligence #MachineLearning #SalesTools #Personalization #CustomerLoyalty #Innovation