Colin has over 30 years of experience across wealth management and adviser technology, and Paul focuses on making advice businesses simpler, more efficient, and exit-ready.
They discuss what that looks like for the intermediaries they work with, focusing on the operating model, the evidence, and how reliably the firm delivers outcomes.
You can watch this video on YouTube or listen to the interview on Spotify.
The thread running through the conversation is practical: simplify how the firm works, measure outcomes properly, and strip out avoidable manual effort. That improves client experience and makes the business easier to value, whether you ever sell or not.
Why Exit Readiness Has Become a Strategic Discipline
“Exit-Ready” Is About Optionality
Silverback’s starting point is simple: If the business depends on informal knowledge, founder heroics, and manual workarounds, it becomes fragile.
Paul describes his current focus as helping firms “get businesses exit ready”.
He then holds leadership teams to account for the changes required to make that real.
That accountability matters because “exit readiness” is easy to postpone because it's seen as solely about selling.
But readiness is also about efficiency today - and is better implemented when a firm is functioning well than when it's too late.
Transformation Starts With a Clean Map of Reality
Adviser firms often adopt different tools over the course of years, but never fully rebuild their operating model to match.
That leaves duplicated effort, partial integrations, and data scattered across platforms, CRMs, and spreadsheets.
It drives up cost-to-serve and makes consistent oversight harder.
A useful first move is to “start with a clean piece of paper”.
Map how work actually flows through the firm, then decide what should be standardised, automated, or removed.
Consumer Duty, Cost-to-Serve, and the Advice Gap
Consumer Duty Pushes Firms Towards Evidence
When Colin talks about regulation, he keeps coming back to evidence: changes that firms must be able to demonstrate.
One of the most concrete examples of where impact can be made is a support-capacity target.
A firm where each adviser effectively required 0.9 full-time equivalent support was aiming to reduce that to 0.6 over the next couple of years - an ambitious target only possible with automation.
He points to meeting transcription as a straightforward starting point, as well as “data cleansing tools” that can improve accuracy in some setups.
Such automated tools can remove avoidable admin so firms can reinvest time in client-facing work and service improvement.
What “Exit-Ready” Looks Like in Practice
Simplify the Proposition Before You Add New Tools
Paul’s strongest valuation example comes down to simplification.
He contrasts a typical fragmented setup with a streamlined alternative.
In one case: multiple platforms, low profitability, and a support-heavy model.
In another: one platform, a centralised investment proposition, and a tighter operating structure.
In his experience, that shift translated into a big difference in valuation multiples.
Businesses that are easier to understand, run, and oversee are easier to underwrite.
"Financial adviser businesses have taken on board a lot of technology... that’s become a bit of a mess, actually."
Paul Miles, Principal, Silverback Consultancy
Use Segmentation to Protect Outcomes
Segmentation can sound like a commercial exercise but it can also be a customer-outcome tool.
If you offer “full service” to everyone, you often end up with inconsistent delivery. Inconsistent delivery is hard to defend as fair value.
A practical segmentation model makes the service promise explicit:
Service definition: what a client receives, how often, and what “good” looks like.
Hand-off rules: when complexity, vulnerability, or life events trigger a different level of support.
Evidence: the MI that shows whether each segment is receiving what it was promised.
It also makes automation safer because edge cases are designed in, rather than discovered during a problem or in a complaint.
What Consolidators and Buyers Are Really Buying
Data Quality and MI Decide How Fast Integration Happens
Colin says that consolidators often worry about data quality and MI first.
These concerns are linked to questions about whether the acquiring firm can manage outcomes, risks, and service consistently post-deal.
There is always a risk of poor outcomes if consolidation is not governed and monitored effectively.
The aim is to reduce reliance on one-off reporting and fragile manual work and making data-driven processes more systematic.
Honesty Up Front Improves Consolidation Outcomes
One of Paul’s most important points is about people and expectations.
Post-sale, it will not feel the same to people in the business. Pretending otherwise increases the chance of disappointment and attrition.
He stresses the importance of both sides being honest about what will change. Matching operating models and expectations is how consolidations can avoid unnecessary integration challenges.
For sellers, that means understanding the buyer’s platform and process requirements early.
Where appropriate, it also means planning a multi-year glide path to align, as change doesn't happen overnight.
AI and RegTech Can Reduce Risk - If They Are Governed
Transcription Is the Gateway Use Case
Transcription stands out as a key example, because it is easy to pilot, measurable, and linked directly to capacity.
Done well, it compresses a workflow that used to involve dictation, manual typing, and iterative clean-up.
It can produce a near-real-time record that feeds onboarding, suitability documentation, and follow-up communications.
The governance is important though. You are still processing sensitive data, so privacy and accountability controls matter.
AI File Checking and GRC Tools Are Changing Oversight
Colin also points to the growth of RegTech and GRC tooling that can automate parts of compliance monitoring, such as file checking.
Instead of a manual process, often based on sampling rates that vary by adviser, firms can systemise checks.
Automation can help spot missing information, inconsistent disclosures, or process drift.
The strategic benefit is that oversight becomes more continuous, rather than waiting for periodic audits.
That supports both Consumer Duty monitoring as well as acquisition due diligence.
Identity and Trust Still Sit Underneath the Operating Model
Trust comes from verifiable controls and day-to-day proof.
That's true whether you are running or selling a business.
As firms integrate, outsource, and automate, they widen the set of people and systems that handle client data and communications.
That makes basics like domain protection and secure channels harder to treat as “IT tasks” alone - as they become core operational foundations.
With a simpler proposition, a clearer operating model, and trustworthy MI, it becomes easier to protect outcomes, trust, and reputation and to run the firm at a sustainable cost.
FAQs
What Does “Exit-Ready” Mean If You Are Not Planning to Sell?
It means you can run the firm without relying on informal workarounds.
You have a clear proposition, reliable MI, and processes that deliver consistent outcomes.
It also makes recruitment, succession, and resilience easier.
How Does Consumer Duty Change the “Value” Conversation?
It pushes firms to evidence outcomes and fair value across different customer groups.
It reduces reliance on assumptions about what clients are getting for their fee.
Where Should an Advice Firm Start With AI?
Start with a contained use case like meeting transcription.
Measure time saved and error rates.
Put privacy, retention, and accountability controls in place before you scale.
What Do Consolidators Typically Look for First?
Clean, trustworthy data and MI that can support governance post-acquisition.
They also look for an operating model that can realistically be aligned to the buyer’s platform and processes.
Paul, CEO and Founder of Beyond Encryption, is an expert in digital identity, fintech, cybersecurity, and business. He developed Webline, a leading UK comparison engine, and now drives Mailock, Nigel, and AssureScore to help regulated businesses secure customer data.