Tim Pratt

Senior Finance PMM | AI Agent Builder for the Office of the CFO | P2P, Q2C & finance automation | Ex-finance ops + PMM

[Tim Pratt @thetimpratt]

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

[Tim Pratt @thetimpratt]

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? 👇

[Tim Pratt @thetimpratt]

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.

[Tim Pratt @thetimpratt]

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

[VentureBeat @VentureBeat]

The AI paradox: How tomorrow's cutting-edge tools can become dangerous cyber threats (and what to do to prepare) https://t.co/rYd34a1bYM

[Wiz @wiz_io]

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

[Tim Pratt @thetimpratt]

What's your take? Will AI Agents make the web better or more impersonal?

Dive deeper into this AI revolution here: https://t.co/fdOyvYa945

[Tim Pratt @thetimpratt]

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?

[Pearl AI @heypearlai]

RIP Photoshop.

Gemini 2.0 now can edit image by talking to it , it's insane.

Here’s how it works:

[Tim Pratt @thetimpratt]

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.

[Tim Pratt @thetimpratt]

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!

[Tim Pratt @thetimpratt]

Awesome presentation! Very exciting, the future is now!

[Salesforce @salesforce]

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

[Tim Pratt @thetimpratt]

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?

[Databricks @databricks]

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

[Tim Pratt @thetimpratt]

@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.

[Tim Pratt @thetimpratt]

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"

[Ramon Sanders @ramonsanders007]

https://t.co/gRt0EmzBSW

[Tim Pratt @thetimpratt]

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

[Tim Pratt @thetimpratt]

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: 👇

[Tim Pratt @thetimpratt]

🚘🤖 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

[Tim Pratt @thetimpratt]

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

[Indian Tech & Infra @IndianTechGuide]

🚨 A student from Kerala, Devdutt has designed a machine which uses AI to write his homework in his own handwriting.

[Tim Pratt @thetimpratt]

@HRTechSeries I agree! Building multi agent teams using Gen AI and ML will provide business value. Understanding how to demonstrate ROI is key.

[Tim Pratt @thetimpratt]

Great explainer! 🤓 Expanding on this: Beyond understanding parameters/weights, tools like adjusting temperature, prompt engineering, RAG, flow control, & fine-tuning can massively enhance results. Excited for future models with even larger parameters—better context = next-level insights!