How Agentic AI changes the game

AI tools vs. AI agents: Why the next leap in financial advice will close the gap

The financial advice industry has been experimenting with AI for years. Most advisory firms now use AI tools for file notes, client newsletters, and basic document drafting. But these incremental improvements haven't solved the fundamental challenge: making quality advice accessible and profitable at scale.

The next leap forward isn't about better AI tools—it's about AI agents that can autonomously manage entire workflows. This shift promises to transform financial advice from a high-touch, low-scale service into something that can reach millions of Australians who currently go without professional guidance.

From single tasks to complete workflows 

Current AI tools require constant human intervention. An advisor might use ChatGPT to draft an email, then switch to another tool to analyse a document, then manually compile everything into a client file. Each task needs a human prompt, review, and integration step.

AI tools are digital assistants—helpful but limited. They excel at individual tasks but can't connect the dots between them. An advisor still needs to orchestrate the entire process, moving data between systems and ensuring nothing falls through the cracks.

AI agents work like a coordinated team. Think of the difference between having a helpful assistant and having an entire back-office team that communicates seamlessly. AI agents can handle complete processes autonomously—from initial client inquiry through onboarding, fact-finding, analysis, draft advice preparation, and compliance checking.

When a new client submits their information, an AI agent can verify their identity, extract data from uploaded documents, cross-reference it with market data, identify planning opportunities, prepare draft scenarios, and flag any compliance issues—all before the advisor even sees the file.

This end-to-end automation transforms advisor productivity. Instead of spending hours on administrative tasks for each client, advisors can focus their time on the high-value interactions that clients actually pay for: strategic thinking, relationship building, and complex problem-solving.

From reactive to proactive guidance

Traditional AI tools wait for instructions. You ask them to analyse something, and they analyse it. You ask them to draft something, and they draft it. But they don't think ahead or spot opportunities you haven't considered.

AI agents continuously monitor and optimise. They don't just react to requests—they proactively identify opportunities and potential issues across an advisor's entire client base.

An AI agent might notice that a client's portfolio has drifted from their target allocation and automatically prepare rebalancing recommendations. It could identify tax-loss harvesting opportunities as market conditions change, or flag when a client approaches contribution limits before they miss optimisation opportunities.

Timely guidance becomes automatic. Instead of waiting for annual reviews to identify planning opportunities, AI agents can monitor client situations continuously and initiate communications when action is needed.

When a client's income increases due to a promotion, the agent can immediately model updated contribution strategies and alert the advisor to schedule a strategy session. When market volatility creates opportunities, the agent can prepare personalised communications explaining the implications for each client's specific situation.

This proactive approach ensures clients receive timely guidance without requiring additional advisor time—in fact, it often reduces time by preparing everything the advisor needs for efficient client conversations.

The economic breakthrough: profitable advice at scale

Here's where AI agents solve the fundamental economics of financial advice. Current models require significant advisor time per client, making advice uneconomical for anyone without substantial assets.

Dramatically reduced time per client. When AI agents handle the entire administrative and analytical workflow, advisor time per client can drop by 70-85%. What previously took hours of advisor time can be completed in minutes of review and approval time.

Scalable personalisation. AI agents can deliver highly personalised advice and communication at scale. Each client receives guidance tailored to their specific situation, but the advisor doesn't need to manually craft every interaction.

Economic viability for middle-income clients. When advisor time per client drops dramatically, the economics of advice change fundamentally. Clients who couldn't justify $4,000 in advice fees can access comprehensive guidance at price points that work for both sides.

This isn't about cutting corners or reducing service quality—it's about eliminating the administrative burden that currently prevents advisors from serving more people effectively.

The economic breakthrough: profitable advice at scale

Faybl closes the advice gap

The shift from AI tools to AI agents addresses both sides of the advice gap equation. Advisors can serve more clients profitably, while clients can access professional guidance at affordable price points.

Supply increases when advisors can scale. When administrative burden drops dramatically, advisors can handle larger client books without sacrificing service quality. The artificial cap of 90-100 clients per advisor begins to lift.

Demand increases when advice becomes accessible. When technology reduces delivery costs, advice becomes economically viable for the millions of Australians currently priced out of professional guidance.

The result is a market that works for everyone: advisors build stronger, more profitable businesses while more Australians gain access to the financial guidance they need.

It's a massive transformation—and that's why we created Faybl to help advisory firms harness the power of AI agents and close the advice gap for good.

Faybl lets wealth management firms scale their support safely to deliver faster, tailored financial advice, so advisors can focus on what they do best — build relationships, think strategically, communicate context and be the trusted guide for their clients.

Our purpose-built AI general agent is transforming the way financial planning works, with human-led, AI-augmented workflows that increase efficiency, speed up the client interactions and reduce error rates and non-compliance.

Faybl offers deeply structured knowledge management specific to financial planning, and is tailored for operations such as Xplan and Intelliflo, while integrating with email, clients and CRMs.

It has built-in security siloes designed for client and advisor peace of mind. By partitioning data at the enterprise, client and workflow levels, Faybl ensures security and prevents data bleed. 
This unlocks long-term memory capability, allowing better capture, retrieval, interrogation and reporting of client data.

And with the power of Agentic AI, Faybl offers predictive foresight and auto-execution — within regulatory guardrails.

Faybl looks ahead to proactively collect and prepare information across the entire advisory process, learning your workflows and automatically readying the data needed for each next step, without overreach.

The result is faster financial advice, planners who can focus on what matters, and more happy clients. 

Find out more at faybl.com