The Future of Financial Advice: Process-Driven Orchestration

David Deegan
David Deegan 12 min read

Moving beyond document-based workflows to digitised, orchestrated processes that seamlessly coordinate work between team members and AI assistants

We know how impactful good advice can be for clients. The challenge is that delivering quality advice takes time, and most firms hit a ceiling on how many clients they can serve.

Breaking through that ceiling requires better coordination. Not just between your team members (advisers, paraplanners, admin staff, offshore support) but increasingly, with AI too.

That's where orchestration comes in: building digitised, structured processes that allow work to flow seamlessly between everyone involved, with clear handoffs and complete visibility.

Think about what's involved in delivering a single piece of advice. The initial client meeting. Research and data gathering. Strategy formulation. Document drafting and review. Each step involves different people, often working in different places. For most firms, coordinating all of this is still largely manual. The middle part of the process is where things get complicated. Work gets stuck. Files live in different places. Nobody has a clear view of where things are up to.

Now consider what happens when you want to bring AI into this mix. AI is powerful, but it's only as useful as the context you can provide it. A human team member can work through ambiguity: ask questions, piece things together, fill in the gaps. AI needs structure. If your processes aren't digitised, it's hard to delegate work to an AI agent effectively. The more organised your process, the more you can leverage AI to help.

When you get orchestration right, you can deliver more advice to more people, without sacrificing quality or stretching your team too thin.

Getting there requires three things: seeing where traditional workflows fall short, digitising your processes so work can actually flow, and then orchestrating that work across your team and AI.

The Problem: Fragmentation and Invisibility

Traditional financial planning workflows suffer from several critical issues:

Document Silos

Critical information lives in Word documents, Excel spreadsheets, and PDFs scattered across shared drives, making it impossible to get a complete view of any client situation.

Manual Handoffs

Work passes between team members through emails, chats, and verbal conversations, creating bottlenecks and confusion about who has what and what needs to happen next.

Zero Visibility

Practice principals and managers have no real-time view of where work is in the pipeline, making it impossible to identify bottlenecks or forecast capacity accurately.

Scaling Limitations

Growth means hiring more people to do the same manual processes, with no real efficiency gains. The business model doesn't scale; it just gets more expensive.

These aren't minor inconveniences. They're fundamental structural problems that prevent advice firms from operating efficiently. And they can't be solved by simply working harder or hiring more people.

The solution starts with digitisation.

The Foundation: Complete Digitisation

The first prerequisite for orchestrated workflows is getting everything out of documents and into a proper digital system. I'm not talking about creating more digital documents. I mean converting every form, every data point, every checklist into structured data.

When information is truly digitised, something transformative happens: it becomes actionable. Specific data points enable precise, deterministic calculations: tax projections, insurance needs, contribution limits. That would be impossible if the same information were locked in Word documents.

Those calculations, combined with the underlying client data, provide the rich context AI needs to analyse strategies with real specificity. And when recommendations themselves are captured as data rather than text in a PDF, new possibilities open up: you can track how recommendations evolve, report on strategy patterns across your client base, and gain insights that were previously invisible.

Document-Based vs Fully Digitised

Document-Based:

  • Information locked in files
  • Manual searches to find anything
  • No automation possible
  • Invisible to AI tools
  • No clear version history

Fully Digitised:

  • Structured, searchable data
  • Instant access for all team members
  • Workflows can be automated
  • AI can read and analyse it
  • Complete audit trail built in

This is the critical foundation. Without complete digitisation, you can't orchestrate anything. You're still just shuffling digital documents around instead of paper ones.

With digitised data in place, orchestration becomes possible.

Process Orchestration: Your New Operating System

With digitised data as the foundation, we can now build something powerful: orchestrated processes, workflows where every task, every handoff, and every responsibility is explicitly defined and tracked. It's the same principle that transformed manufacturing: when you can see every step, assign clear responsibility, and build in quality checks along the way, everything runs more smoothly. (I've written more about applying these ideas to advice workflows here.)

In an orchestrated workflow, the system knows:

  • What work needs to be done for every client at every stage
  • Who is responsible for each task (human or AI)
  • When work should be handed off to the next person or system
  • Where bottlenecks are forming in real time
  • How to route work based on specialisation and capacity

This isn't about removing human judgement. It's about creating a framework where humans can focus on high-value work while the system handles coordination, tracking, and routine tasks.

The Team Orchestration Model

Modern advice firms have diverse team structures: advisers who manage client relationships, paraplanners who do deep strategy work, back-office staff handling administration, offshore resources for research and data gathering, and now AI agents that can take on specific tasks alongside the team.

With visibility into your processes, you can allocate work intentionally. Advisers should be in front of clients, not chasing paperwork. Paraplanners should be deep in strategy, not re-keying data. AI agents can handle structured tasks like extraction and drafting. When work flows to the right place with clear handoffs at every step, the whole team operates at its best.

Here's how the stages of the advice process might look in an orchestrated workflow.

The Orchestrated Financial Advice Workflow

Stage 1: Client Onboarding

The client books an appointment (self-service or admin-assisted) and receives an automated confirmation with a link to a pre-meeting questionnaire. They upload documents through a client portal.

System

  • Appointment scheduling and confirmation emails
  • Document request automation
  • CRM record creation

AI-Assisted

  • Extracting data from uploaded documents
  • Pre-filling authority forms
  • Generating client summary report
  • Drafting meeting agenda

Human-Led

  • Reviewing the summary and meeting agenda prior to meeting

Stage 2: Discovery and Fact Find

The adviser meets with the client to understand their situation, goals, and concerns. The meeting is recorded and transcribed.

System

  • Meeting recording and transcription

AI-Assisted

  • Generating file notes from the transcript
  • Extracting and structuring data for CRM import

Human-Led

  • Conducting the meeting
  • Building the relationship
  • Capturing the fact find

Stage 3: Research and Analysis

Product research is gathered, data is extracted from statements, and the client's situation is analysed against strategy rules.

System

  • Comparison tables and charts
  • Cashflow modelling
  • Tax calculations
  • Preliminary strategy evaluation

AI-Assisted

  • Extracting data from product statements
  • Generating narrative analysis
  • Providing context and trade-offs

Human-Led

  • Reviewing recommendations
  • Applying professional judgement
  • Refining the strategy

Stage 4: Strategy Discussion and SOA

If needed, the adviser meets with the client to discuss options and trade-offs. Once the direction is confirmed, the SOA is prepared.

System

  • Formatted presentation or PDF
  • SOA document generation
  • Fee calculations

AI-Assisted

  • Generating discussion materials
  • Drafting SOA narrative sections
  • Reviewing SOA for discrepancies

Human-Led

  • Presenting options to client
  • Finalising recommendations
  • Paraplanner refining SOA
  • Adviser sign-off

Stage 5: Implementation

Applications are submitted, progress is tracked, and the client is kept informed throughout.

System

  • Application form generation
  • Progress tracking
  • CRM updates from providers

AI-Assisted

  • Drafting client progress updates
  • Drafting final confirmation
  • Reviewing implementation vs SOA

Human-Led

  • Submitting applications
  • Following up outstanding items
  • Quality checking

Stage 6: Ongoing Service

The engagement wraps up with a completion email and survey, and the next review is scheduled.

System

  • Client status updates
  • Review scheduling
  • Checklist validation for audit

AI-Assisted

  • Drafting completion email
  • Reviewing file for completeness

Human-Led

  • Confirming everything is in order
  • Nurturing the client relationship

Notice what's happening here: the system and AI work together at every stage. System automation handles the structured, deterministic work (calculations, templates, comparisons, tracking). AI handles the narrative, contextual work (summaries, drafting, analysis). And humans stay in control, reviewing outputs, making decisions, and nurturing the client relationship.

This isn't about replacing people. It's about freeing them to do what they do best.

The Strategic Role of AI

Here's the critical insight about AI in orchestrated workflows: AI should be a participant in the process, not a replacement for it. Just like you might hand off research tasks to an offshore team member or technical calculations to your paraplanner, you can hand off specific tasks to AI.

Effective AI integration means:

Clear Task Definition

Give AI specific, well-defined tasks with clear context, just like you would brief a team member on a specific piece of work.

Defined Handoff Points

Humans do upfront work, hand off to AI for specific analysis or generation, then humans review and finalise the output.

Human Quality Control

AI output always flows back to a human for review, refinement, and final approval before moving to the next stage.

This approach gives you the efficiency of AI while maintaining the quality, judgement, and relationship management that clients expect from professional financial advice.

Continuous Improvement Through Transparency

Here's where orchestration becomes truly powerful: when everything is visible, everything can be improved.

In a document-based workflow, you can't see where work is getting stuck. You don't know if your paraplanner is waiting on advisers to provide feedback, or if clients are taking weeks to provide documents, or if compliance checks are the real bottleneck.

In an orchestrated system, you can see:

  • Average time spent at each stage of the process
  • Which team members have capacity and which are overloaded
  • Where work is piling up (your bottlenecks)
  • Which types of clients or scenarios take the longest
  • The total end-to-end time for advice delivery

This visibility enables systematic improvement. With orchestration, you can actually identify your constraints, measure the impact of changes, and continuously optimise your workflow.

Getting Started: A Practical Approach

This might feel like a big shift, and it is. But you don't need to overhaul everything at once. The goal is to build momentum. Start with one stage of the process, get it working well, and let that success inform what you tackle next. Here's a practical approach:

1. Start with Digitisation

Pick one stage of the advice process, maybe client onboarding or research and analysis, and digitise everything in that stage. Convert every form to digital data capture, every checklist into a structured step.

2. Map the Handoffs

Document who does what and when work gets passed between team members. Make these handoffs explicit in your system rather than happening through email or chat.

3. Add AI Strategically

Identify two or three specific tasks where AI could add value, maybe extracting data from documents, analysing strategy options, or generating initial draft reports. Start small and expand as you gain confidence.

4. Build Visibility

Create dashboards that show where work is in the pipeline, who's working on what, and where delays are occurring. Make this visible to the whole team.

5. Iterate and Improve

Use the data you're now collecting to identify bottlenecks and inefficiencies. Make targeted improvements and measure the impact. Repeat continuously.

The Benefits Across Stakeholders

When orchestration works well, it benefits everyone involved:

For Practice Principals and Managers

Complete oversight of the pipeline. Clear data on capacity, turnaround times, and where work is getting stuck. The ability to make informed decisions about resourcing and process improvements.

For Advisers

More time for what matters most: client relationships and strategic guidance. Less time chasing documents, following up on tasks, or wondering where things are up to.

For Paraplanners and Admin Staff

Clear instructions on what needs to be done. No ambiguity about priorities or next steps. Less time spent hunting for information or waiting on handoffs.

For Clients

Faster turnaround on advice. Transparency about the process and timeline. A more professional, organised experience overall.

Looking Forward

A few years ago, we didn't have access to AI tools that could genuinely contribute to the advice process. Now we do. It's like having a team member who can work around the clock, but only if we design our processes to make use of them.

That's the opportunity in front of us: to rethink how we structure our workflows, how we digitise our data, and how we hand off work between team members. Not just for the sake of AI, but because better orchestration makes the whole process more enjoyable to deliver and more accessible for clients.

When we get this right, we can serve more people with quality advice. And in an industry where good advice genuinely changes lives, that's an opportunity worth pursuing.

It starts with digitisation. It builds with orchestration. And it becomes even more powerful when you bring AI into the mix.

What We're Building

This is the thinking behind what we're building at Advice Innovation Hub with Strategy Engine, a platform designed to bring orchestration and AI to the advice process.

Our starting point is strategy analysis. When client data flows into Strategy Engine, it evaluates that data against a comprehensive framework of financial planning strategies and generates detailed analysis. For advisers and paraplanners, this means having a solid foundation to work from. It surfaces what's relevant, highlights opportunities, and gives you a head start on formulating recommendations.

Strategy analysis is where we're focused today. Over time, the goal is to expand into more stages of the orchestrated workflow.

If you're interested in learning more, you can reach out via the contact form.

About the Author

David Deegan

David Deegan

With over 20 years in financial services, I've seen the industry from every angle: as an adviser, scaling offshore operations, and now as a founder focused on innovation. At Advice Innovation Hub, I'm building a suite of tools that leverage AI and workflow orchestration to help advisers and their teams reduce turnaround time, meet compliance demands, and deliver advice more efficiently.