This site is a positioning house for agentic tools sold into the Office of the CFO. Read it in this order if you build or market those products. Do not start with autonomy. Start with who owns the miss. 1. The four arguments Trust before autonomyFinance buyers reject the agent-as-hero story. Lead with control, then capability.https://www.timpratt.me/trust-before-autonomy/ The
Most agentic AI deals do not die because a rival agent told a better story. They die because the buyer already has a default. Hire another clerk. Keep the RPA bot. Use the ERP screen. Send the pile to shared services. Stand up a chatbot and call it a pilot. If the first conversation never names that
Agentic AI in Finance: What Buyers Compare It To Read More »
Most agentic close products still lead with autonomy. The homepage says the agent can post, reconcile, and finish the close. The demo shows journals moving. The room nods. Then a Controller asks who owns a bad entry, whether the posting can be explained, and whether “faster close” means fewer controls. That is where the story
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Most agentic AI pitches fail in the same place: not in the demo, but in the handling of CFO agentic AI objections. Finance buyers rarely say “this is unimpressive.” They say something more specific, more cautious, and more revealing. If the response is generic, the deal slows down. If the response shows you understand the
What CFOs Actually Push Back On When Agentic AI Is Pitched Read More »
Illustrative positioning case based on common patterns in agentic finance products. Not a client case study. Most agentic finance products still lead with autonomy. This before-and-after case on agentic AP positioning shows why that story fails with finance buyers, and what a control-first rewrite looks like. The demo shows invoices moving end-to-end. The narrative promises
Before → After: Positioning an Agentic AP Exception Product for the Office of the CFO Read More »
Agentic AI governance finance questions dominated the audience chat during OpenAI’s recent webinar on how its own finance team uses AI. The demos focused on faster forecasting, live scenario collaboration, automated workflows, and interactive dashboards. One presenter even joked about making forecasting “great again.” The audience asked different questions. According to reporting by Adam Zaki on CFO.com
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A Controller once told me, after a polished demo of an autonomous invoice-processing agent: “This is impressive. But if it posts the wrong entry, whose job is on the line, yours or mine?” The conversation ended shortly after. That question sits at the center of almost every serious evaluation of agentic AI in the Office
Trust Before Autonomy: Why Finance Buyers Reject Agentic AI Read More »
An Accounting Engineer is a hybrid professional who combines deep finance domain expertise with the ability to design and operate agentic workflows, while embedding strong governance, guardrails, and human oversight into the system. This role is especially critical inside product and product marketing teams that are building or selling agentic AI solutions into the Office of
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Traditional product positioning was built for tools that wait for instructions.Agentic AI doesn’t wait. When your product can plan, decide, and execute multi-step workflows with minimal human input, the classic linear model breaks: Category → Problem → Solution → Features/Benefits → Differentiation → Outcome That framework still works for conventional SaaS. It falls short in the Office of
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Agentic AI is fundamentally different from the tools finance teams have used for decades. These systems don’t just automate tasks, they plan, decide, and execute complex, multi-step workflows with minimal human input. This shift creates a major challenge for Product Marketing leaders: traditional positioning frameworks no longer work well in the highly regulated, risk-averse environment of
Practical PMM Frameworks for Agentic AI in the Office of the CFO Read More »