Panax MCP: Bring Live & Enriched Treasury Data Into Claude
Treasury AI has a data problem. We fixed it.
Finance teams have been asking the same question for a while: why does AI feel so limited when it comes to actual treasury work? The answer is usually sitting in your export folder.
AI models are only as useful as what they can see. For most finance teams, what they can see is an outdated CSV pasted into a chat window, reformatted by hand. Ask Claude about your cash position and the answer comes back from a snapshot. Meanwhile, your actual accounts have moved.
There's a name for what's missing: Finance-Native AI. A model built on live, structured, categorized treasury data is a different category of tool: one where the intelligence starts at the data layer, not on top of an export. That's what we’ve built.
Panax was built to be that data layer from day one: global bank connectivity, standardized, with an AI enrichment engine that turns raw transactions into something a model can reason over.
Today, we're making it available directly in Claude.
The Panax MCP
Two offerings, available now.
Panax Connect normalizes bank data at the source. Every institution has a different format, a different API, a different set of edge cases. Connect handles that and returns a single, clean interface across accounts, currencies, and geographies. When Claude queries your balances, that's what it's reading from.
Panax Enrich takes what Connect pulls and structures it for AI. Every transaction gets categorized, labeled, and contextualized, trained specifically on treasury data. That specificity matters: generic categorization gets treasury wrong in ways that compound quietly. When Claude tells you what moved and why, it's reading data that's already been made interpretable. The model doesn't have to guess because the work is done before it asks.
Ask about your cash position across entities. Ask which outflows crossed a threshold last week. Ask for a currency breakdown before a board call. Claude goes back to your live accounts for each answer, through Panax, and returns what's actually there.
Why the infrastructure matters
Any finance platform can build a Claude connector. What it touches is the question.
Finance-Native AI requires finance-native infrastructure. Connect and Enrich are the same layer that powers the full Panax platform: direct integrations with SAP, Oracle, NetSuite, and Yardi, bank connectivity across global institutions, categorization built for treasury specifically. The MCP exposes that layer to Claude.
For teams that want everything in one place - visibility, forecasting, reconciliation, reporting - the full platform is how that works.
Connect and Enrich are available standalone for teams that want to bring Panax into the AI workflow they already have. Either way, the data is the same.
Data connectivity for finance: everything you need to know
Cash flow management is the lifeblood of your treasury operations. It allows you to properly and accurately track the money that is coming in and out of your business and to forecast cash flow needs. A comprehensive and reliable data set is the basis for a reliable and effective management of cash flow.
Sefi Itzkovich
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Aug 29
,
2024
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5 min
About Panax
Panax secures $10M series A funding round
As businesses navigate an increasingly uncertain economic landscape, managing cash flow, liquidity, and financial risks has never been more critical. Today, we’re excited to announce that Panax has secured $10 million in Series A funding, led by Team8 and TLV Partners, to further our mission of transforming treasury management for mid-market and large enterprises.
Panax Team
5 min
Cash Management
The Modern CFO Mindmap: 14 Domains of Finance Leadership
Today’s CFOs aren’t just closing the budget, they’re driving sustainable business growth. They’re expected to drive innovation, expansion, and digital transformation for the business, while safeguarding fiscal discipline, regulatory compliance, and risk management.
But in a world where interest rates, inflation, and global trade conditions can shift overnight, this is tricky. So CFOs need to act with speed, agility, and precision.
Achieving this requires using AI, automation, and predictive analytics to guide strategy; keeping data clean, governed, and connected across systems; staying ahead of ESG and tax rules; building teams fluent in both numbers and technology; and managing input from boards, investors, regulators, and business leaders. All, without losing focus.
In such an environment, the true measure of a CFO’s leadership lies in their ability to turn reactive tasks into proactive decision-making, risk into opportunity, and foresight into measurable, lasting value.
What a load.
What is the CFO Mindmap?
The CFO Mindmap isa visual framework of the modern CFO’s 2025 responsibilities. It organizes all the key domains, responsibilities, priorities, and decision areas of a CFO in a holistic and structured way. With the CFO Mindmap, financial leaders can strategize, plan and enhance their financial programs for the next 12-18 months.
We built the CFO mindmap based on in-depth conversations with dozens of CFOs, spanning our own customers, industry peers, and finance leaders we engaged with on LinkedIn, at events, and through professional forums. By synthesizing these real-world insights with market research and trend analysis, we created a mindmap that reflects both the day-to-day realities and the strategic imperatives of modern finance leadership.
How to use the CFO Mindmap
The CFO Mindmap helps CFOs focus on what matters most and lead with clarity and alignment.
The CFO Mindmap can be used for:
Strategy and planning of the upcoming year(s)
Aligning the team on roles and responsibilities
Facilitating conversations across the organization
Benchmarking focus and priority topics to the rest of the industry
Serving as an educational and awareness-raising tool.
The CFO Mindmap domains
We’ve mapped the modern CFO’s world across 14 key domains, from cash flow and compliance to AI, ESG, and beyond.
Not surprisingly, AI has become a central theme in these domains. As AI becomes a core driver of transformation in finance, it plays a role in every one of the 14 domains outlined in the mindmap (as well as having a domain of its own). This means that AI is both a supporting tool and a core component of the modern CFO’s agenda.
Focus areas and recommendations for 2025-2026
The CFO mindmap is an extensive, strategic blueprint that captures the full scope of a modern finance leader’s responsibilities, challenges, and opportunities. It distills complex priorities into a single, comprehensive view. This enables CFOs to quickly identify focus areas, uncover gaps, and align actions with the organization’s broader vision.
But to make it even more actionable, below are the top recommendations derived from this framework and the modern challenges CFOs are facing.
1 - AI-Native becomes a must
If a resource is published in 2025 and doesn’t mention AI, does it even get read?
In 2025-6, the key to driving strategic growth and mitigating risks is AI. Whether the issue is manual workflows, fragmented data, static reporting, inaccurate forecasts, or slow decision-making, AI can help.
AI embeds automation and insights into financial workflows, proactively surfacing opportunities and recommendations. These capabilities enable finance leaders to make faster, more informed decisions, maintain tighter liquidity control, and scale operations without adding headcount.
The recommendation: Replace guesswork and reactive processes with AI-native, always-on intelligence so you can move from scattered, slow decision cycles to a confident, strategic, and opportunity-driven finance function.
2 - AI Risks vs. rewards
AI is not a plug and play solution.
While AI offers finance teams unprecedented agility, visibility, and risk insight, it also introduces challenges and risks that must be addressed to ensure financial stability.
Key risks include data leakage(exposing highly sensitive financial and counterparty information), AI hallucinations (where flawed outputs could drive poor decisions) ensuring compliance, ensuring data quality, and securing connections between AI models and external data sources.
The recommendation: Adopt a disciplined AI strategy anchored in strong data governance, context-aware fact-checking, and privacy safeguards. This includes validating outputs before use in decision-making, implementing permission controls for data access, avoiding insecure input into public AI tools, and ensuring regulatory compliance frameworks are met. Plus, a robust, well-structured data infrastructure ensures accurate, timely, and properly modeled data maximizes AI’s value and minimizes errors.
Not sure where to start? We recommend paying a visit to your CTO.
3 - Gatekeepers vs. growth
“The evolving role of the CFO…”
Traditionally, CFOs were seen primarily as budget protectors. Their focus was on safeguarding resources, minimizing risk, and ensuring that financial processes ran smoothly and efficiently.
While those responsibilities remain, today’s business environment demands much more. Modern CFOs are expected to actively identify and pursue opportunities for growth, like optimizing working capital or strategically allocating investment.
The recommendation: AI equips CFOs with the ability to spot opportunities faster, assess investment impact, and adapt strategies to shifting market conditions. Look for AI tools that can help you model multiple financial scenarios, so you can make decisions based on data while still managing the risk.
4 - 24/7 Continuity
What are your plans for Saturday night?
Cash flow, risk, and opportunity don’t pause for business hours. Round-the-clock operations ensure that insights, alerts, and actions happen in real time and AI can flag and potentially act on opportunities (within approved guardrails) while you sleep. This constant operational alertness safeguards the business from disruptions, enhances agility, and empowers you and your time as strategic professional leaders.
The recommendation: Prioritize investing in finance tools that deliver rapid ROI and operate around the clock, including continuous, real-time monitoring and AI decision support.
What’s Next?
You’re welcome to share with your colleagues.
We’re diving into the Mindmap in a series of webinars with global CFOs. Watch the first one here.
If you have feedback, additions or would like to participate in the CFO Mindmap webinar series, please contact us.
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Cash Management
Cash flow management survey 2025: The results are in
To get more insight into the state of AI and automation in cash flow management in 2025, we commissioned a survey of 200 senior finance professionals. Its purpose is to shed light on their current methods, challenges and priorities.This report was administered online by Global Surveyz Research, an independent global research firm. The survey is based on responses from CFOs, VPs Finance, Directors/Heads of Finance, Controllers, and Treasurers across a mix of industries including tech, E-commerce, real estate, asset- based companies, hospitality, and manufacturing.
Naomi Goldberg
5
Cash Management
What controllers need to know about treasury management in pre-treasury teams
Here’s what controllers in lean pre-treasury teams need to know about taking ownership of treasury management
Naomi Goldberg
10
Cash Forecasting
Mastering cash flow forecasting methods for strategic financial decisions
Whether managing a Fortune 500 company or a growing mid-market enterprise, maintaining a reliable cash flow forecast means you have the insights to make informed financial decisions. But with multiple methods available, in addition to deciding whether top conduct a direct or indirect forecast, how do you determine which one suits your organization’s needs?
Naomi Goldberg
12 min
Cash Forecasting
Pros and cons of cash flow forecasting every finance professional should know
Cash flow forecasting (CFF) is essential in the modern finance world because it predicts incoming and outgoing cash, giving decision-makers more room to make informed decisions. It’s a powerful ally for planning and risk management, but it does come with challenges. During the next few minutes, we’ll cover the advantages and disadvantages of cash flow forecasting.
Naomi Goldberg
5 min
Cash Application
Automating processes for lean finance teams with complex treasury needs
As finance teams face increasing pressure to do more with less, automation has become a critical tool for improving efficiency and accuracy. However, implementing new systems and processes can be a significant challenge, especially for lean teams that are already stretched thin.
Naomi Goldberg
5 min
Cash Forecasting
Is AI in cash forecasting just hype?
In a recent conversation between Adi Barak, VP of Product at Panax, and Joel Jeselsohn, VP of Finance at Tangoe, the two finance experts dove deep into the challenges and opportunities facing finance teams around cash forecasting, especially for mid-sized global companies. They touched on topics such as the impact of inflation, the importance of cash forecasting, and the role of automation and AI in financial processes. Here are the main takeaways from their discussion.
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