From OpenClaw to Alice 27: What Financial Professionals Really Need Is AI That Can "Get Things Done"

OpenClaw After gaining popularity, many are asking: Is the Agent era finally here?

But the first question that comes to my mind isn’t that.

It’s—

Why does each wave of AI seem so close to the financial industry, yet when it actually gets implemented, it always falls short?

The gap has never been about whether it can speak or generate decent analysis. The real challenge is whether it can connect with financial professionals’ data, tools, methodologies, and workflows. Ultimately, it’s not just about answering a question but truly completing the task.

What financial professionals truly need is not a chatty AI, but an intelligent work system that can deliver results.

1. The watershed for financial AI isn’t just about better “talking,” but about better “doing.”

Over the past few years, we’ve seen too many “smart” AIs. They can summarize, reason, express, and explain logic convincingly. But once they enter real financial scenarios, problems arise.

They may struggle to handle professional data. They may falter when performing fund screening, bond analysis, or thematic research within investment frameworks. When asked to produce deliverables ready for client meetings, leadership, or investment committee discussions, they often start to falter.

The financial industry has never been one that can be cracked solely through language skills. The real threshold isn’t just “can they speak,” but whether they can decompose complex financial analysis logic, verify data, utilize tools and calculations, self-correct when issues arise, and deliver final results.

Therefore, the true watershed for financial AI isn’t just about better “talking,” but about better “doing.”

Alice 27 isn’t just a traditional financial Q&A AI. It’s more like a task execution system tailored for financial scenarios. You give it not just a question but a goal; it doesn’t just generate an answer but links data, tools, analysis, and output around that goal, ultimately delivering the results to you.

(Diagram 1: Alice 27 “Goal Input — Capability Invocation — Analysis Execution — Result Delivery” chain)

2. Skills are not just prompts but an intelligent avatar of a financial professional.

This time, Alice 27 proudly launches the long-awaited professional financial Skills in China. Skills are not just prompts. They are more like encapsulating a financial expert’s methodology, steps, and judgment paths into a reusable “intelligent avatar.”

Think of it as turning what you can do into what the system can do; transforming your experience into reusable processes; turning one-time efforts into consistent delivery.

Now, these capabilities can make even bigger leaps through Alice 27. It offers hundreds of official Skills (awaiting your unlock), and will continue to unlock more as users deepen their engagement.

This means you’re not fighting alone but gradually building a more complete AI professional team. Let your Skills connect to the Wande ecosystem’s vast arsenal of MCP and Agent tools.

(Diagram 2: Over a hundred official Skills continuously unlocking)

3. What makes Alice Skills truly different?

To sum up the uniqueness of Alice Skills in a few words:

• Not just a prompt, but an intelligent avatar.
• Not just Q&A, but delivering results directly around a goal.
• Not just theoretical “armchair strategizing,” but capable of “deploying troops and commanding.”

On ordinary AI platforms, the same Skills can only perform simple web searches and knowledge queries. On the Wande platform, your Skills can invoke hundreds of MCP and Agent tools designed specifically for financial scenarios, delivering ready-to-use professional capabilities—realizing an intelligent financial operating system.

(Diagram 3: Core highlights of Alice Skills)

4. What truly moves financial professionals is never just concepts but the realization of “Isn’t this exactly what I do every day?”

(a) Using the deep logic of “star analysts” to write your investment memos

Fund managers often ask: “Is this company worth buying?”

Everyone who has done it knows the tedious process: key investment logic, financial analysis, catalyst timelines, comparable valuation, risk assessments. This isn’t just filling templates but restoring a complete analysis chain. Why is Lenovo’s acquisition a key variable? What does Apple’s 56% concentration mean? How does IPO in Hong Kong reshape valuation? These questions form judgments that truly support investment decisions.

The “Listed Company Investment Memo” skill is born for this purpose! It becomes your investment decision-making avatar.

Sample prompt:

Help me analyze the investment value of Luxshare Precision

(Diagram 4: Listed company investment memo case)

(b) How to make everyone a “star financial advisor”?

A financial manager’s real client needs: 500,000 funds, 1-3 years horizon, preference for tech industry, moderate risk tolerance. How should they allocate?

Preparing a plan might take days: screening products, comparing yields and drawdowns, analyzing volatility and Sharpe ratios, assessing scale, holdings, fund managers, and then organizing a comprehensible proposal.

Using the “Fund Screening and Investment Advice” skill, Alice 27 transforms this scattered, tedious, heavily manual process into a professional delivery within 2 minutes. You input client needs, and it outputs a fund allocation suggestion closer to real business scenarios.

Sample prompt:

Help me select recommended funds. I am a balanced investor with 500,000, aiming for mid-term investment, with a preference for tech.

(Diagram 5: Fund allocation case)

© Following a “20-year bond veteran” to trade

Bond analysis and trading require quick multi-dimensional analysis (macro, liquidity, supply/demand, yield curves, market sentiment…), to judge interest rate trends and trading strategies.

Alice 27 codifies the analysis logic of a 20-year bond trading expert into a “Bond Yield Trend Analysis” skill. It uses a mature analysis framework from short, medium, to long-term global perspectives, verifying all data and trends, and finally providing judgments.

Sample prompt:

Use the “Bond Yield Trend Analysis” skill to analyze how to operate the Chinese 10-year government bond in the coming week.

(Diagram 6: Bond yield trend analysis case)

5. Conclusion

OpenClaw has shown the imagination of general Agents. Alice 27 takes this imagination into the professional realm of finance, embedding it into real workflows.

For financial professionals, the value isn’t just “Q&A,” but a method that understands you, connects with professional data, calls expert tools, executes complex tasks, and finally delivers results—an intelligent financial work system.

As AI begins to shift from “dialogue” to “action,” from “answering” to “delivering,” and from “tools” to “avatars,” the true transformation of the financial industry may have only just begun.