AI and Value Migration

Published by Stephen Dann in AI · Tuesday 29 Sep 2026 · 8:30
Tags: AI, Value

AI and Value Migration for Financial Advice Firms

AI is shifting value across all businesses, as an example, we will discuss how AI is increasing the value of the human dimension in financial advice firms.

Executive summary

AI will not remove value from financial advice; it will shift value from routine information work towards judgement, trust, accountability and implementation.

The strategy should not be framed as AI adoption, but as a redesign of how the firm creates, protects and scales client value.

The ambition should be an AI-enabled, human-led financial planning firm that uses controlled pilots, redesigned workflows, improved client experiences, sharper propositions, faster processes and scalable operating models to deliver stronger client outcomes and commercial value.

1. Plan around where value is moving

AI is making research, comparison, drafting and administration increasingly abundant and fast. These will become expected capabilities rather than sources of differentiation.

Expect declining value in:

· Routine research and information provision

· Standard investment and product comparisons

· Generic financial reports and market commentary

· Manual meeting preparation and note production

· Repetitive onboarding, review and administration

· Propositions differentiated mainly by technical knowledge

Value is likely to increase in:

· Interpreting what information means for each client

· Helping clients make difficult decisions

· Understanding family circumstances, emotions and competing priorities

· Providing reassurance during uncertainty

· Encouraging action and maintaining accountability

· Coordinating decisions across investments, pensions, tax, protection and later-life needs

· Remaining accountable for recommendations and outcomes

The strategic question is not “What can AI do?” but “What will clients value more because AI exists?”

2. Move from delivering advice to delivering outcomes

The proposition should be described and designed around what clients achieve, rather than the activities advisers perform.

Activity-led proposition

We provide financial advice

We manage investments

We conduct annual reviews

We provide retirement planning

We undertake cash-flow modelling

Outcome-led proposition

We help clients make confident financial decisions

We help clients fund the life they want without taking unnecessary risk

We keep clients’ plans aligned as their lives and circumstances change

We help clients enter retirement with clarity, confidence and control

We show clients what is possible and what decisions they need to make

AI may prepare outputs, but advisers must own the interpretation, recommendation and client outcome.

3. Strengthen the “human premium”

Trust, judgement, accountability, leadership, influence and belonging become more valuable as information becomes cheaper.

They should be explicit priorities in strategy, recruitment, training and performance management.

Advisers should be developed to:

· Exercise judgement where there is no clear right answer

· Explain complex choices simply and calmly

· Understand the emotional context of money decisions

· Challenge clients constructively

· Move clients from intention to action

· Manage difficult family and intergenerational conversations

· Build durable trust beyond the advice process

· Accept professional responsibility for recommendations

Technical competence remains essential, but it becomes the entry requirement rather than the principal differentiator.

4. Become a “hybrid professional” firm

The winning model is not advisers competing with or avoiding AI, but advisers combining professional judgement with AI-supported capability.

AI could prepare:

· Initial research and product comparisons

· Meeting briefings and summaries of previous conversations

· Draft review packs and suitability-report components

· Cash-flow scenarios and questions requiring further investigation

· Draft follow-up communications and action lists

· Missing information and unusual changes for review

· Personalised educational material

· Administrative actions for human review

The adviser should retain responsibility for:

· Understanding the client

· Testing assumptions

· Interpreting risks and trade-offs

· Determining suitability

· Making and explaining recommendations

· Identifying vulnerability and emotional concerns

· Securing informed client agreement

· Approving all consequential outputs

The principle should be: AI prepares; advisers decide and remain accountable.

5. Redesign workflows, not just individual tasks

Occasional AI use may save time, but strategic advantage requires workflow redesign across four stages:

1. Use: individuals employ AI for isolated tasks

2. Integrate: AI becomes part of defined workflows

3. Standardise: methods, standards and controls are codified

4. Leverage: develop services and client experiences that were previously uneconomic or impractical

Each priority workflow should have a clear specification covering:

· Intended outcome

· Approved information and data sources

· Defined process

· Required quality standard

· Checks and exceptions

· Human intervention point

· Accountable approver

These four workflow stages provide the operating discipline for the five-stage strategic roadmap: establish control, codify the model, transform the client experience, redesign propositions and scale what is distinctive.

This turns adviser knowledge from individual expertise into an organisational asset.

6. Reinvest the capacity released

Time saved is not automatically value created. Unless recovered time has a defined purpose, it will be absorbed by more administration or higher volumes of low-value output.

Create protected value time and reinvest efficiency gains in:

· More meaningful client conversations

· Proactive contact at important life events

· Better preparation for complex decisions

· Stronger prospect conversion and follow-up

· Intergenerational relationships with clients’ families

· Coaching clients to implement agreed actions

· New propositions and services

· Adviser training in judgement, communication and leadership

Every automation initiative should therefore state both:

1. What work will take less time?

2. What higher-value activity will replace it?

7. Use AI to improve the client experience, not simply reduce cost

There are four levels of opportunity:

Productivity:

Reduce preparation, administration and drafting time

Quality:

Improve consistency, identify omissions and strengthen checking

Client experience:

Provide faster, clearer and more personalised communication

New value creation:

Create services that were previously too costly to provide

The greatest strategic opportunities may be in:

· More personalised follow-up after every client meeting

· Proactive prompts linked to life events and changing circumstances

· Scenario-based guidance between formal reviews

· Financial education tailored to each client and family member

· Lower-cost advice or guidance for clients’ children and emerging-affluent households

· Continuous plan monitoring rather than annual review dependency

Avoid the production trap: more reports, emails and content only create value when they improve decisions, relationships or client outcomes.

8. Redesign how future advisers learn

Automating junior work could break the traditional development path for the next generation of advisers.

Research, first drafts, document checks and meeting notes may be low-value outputs, but they have historically helped junior employees recognise patterns and develop judgement.

The apprenticeship model should be redesigned by:

· Earlier exposure to client meetings

· Clear explanation of recommendation logic and trade-offs

· Structured critique and verification of AI output

· Supervised responsibility for smaller decisions

· Review of previous advice outcomes

· Assessment of reasoning and judgement, not task completion alone

· Training on when not to rely on AI-generated answers

A strong pipeline of experienced human judgement could become a material competitive advantage.

9. Recommended strategic direction

1: Understand and establish control

Map tasks as “assist, automate or human”; establish governance; select low-risk pilots; agree the desired client outcomes.

Outcome: A controlled evidence base and clear strategic direction

2: Integrate and codify

Build approved workflows; document methods; improve data quality; train all teams; protect human approval points.

Outcome: Consistent productivity and quality improvements

3: Transform the client experience

Use released capacity for personalisation, proactive contact and stronger implementation support.

Outcome: Higher client engagement, trust and retention

4: Redesign propositions and talent

Develop new services, revise pricing and segmentation, and establish a new adviser-development model.
Outcome: New revenue streams and a stronger talent pipeline

5: Scale the distinctive model

Embed the strongest propositions across the firm; retire low-value processes; position explicitly around client outcomes.

Outcome: A differentiated, scalable, AI-enabled financial planning business

10. Measures that should appear in the strategic plan

Measure client and commercial value, not AI usage alone:

Relevant measures include:

Adviser time spent directly with clients
Time to prepare and complete a client review
Cost to serve by client segment.
Revenue and contribution per adviser.
Client retention and referral rates.
Client confidence and understanding after advice
Percentage of agreed client actions completed.
Meeting-to-recommendation turnaround time
Error, rework and compliance-exception rates.
Priority processes supported by automation
Number of new services tested and commercially validated.
Proportion of AI-assisted work receiving documented human approval
Junior progression towards client-facing and decision-making responsibility

11. Questions for strategy discussions

What is becoming easier, cheaper or more common in financial advice?
What is becoming more difficult, scarce or valuable?
What are clients requesting more or less frequently?
What do clients genuinely buy beneath the formal advice deliverable?
Which parts of the client experience require trust, empathy, judgement or accountability?
What work should AI prepare, and where must it stop?
What will you do with the capacity it releases?
Which new client need can now be served economically?
How would you design the business if it were starting today?
Which current service or process is the firm retaining mainly because of history?

12. Conclusion

Do not protect routine work that technology is making cheaper.

Use AI to release capacity, redesign the operating model and move the firm towards stronger faster client outcomes, deeper trusted relationships and more scalable commercial advantage.