The Future of Financial Advice: Process-Driven Orchestration
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.