The UK Mortgage and Advisory Factfind: The Operational Guide to Accuracy, Compliance, and Client Completion

A factfind is the formal record of an applicant's financial circumstances, expenditure, and borrowing objectives. Under Financial Conduct Authority (MCOB and Consumer Duty) rules, it provides the evidential basis needed to prove that a recommended mortgage or protection product is both affordable and suitable.

In practice, data gathering is where most mortgage applications lose momentum. Asking clients to complete multi-page paper questionnaires or unguided PDFs often leads to abandoned forms, incomplete figures, and hours spent chasing basic documents. When clients stall during intake, turnaround times stretch and administrative costs rise before an adviser has delivered advice.

The operational challenge lies in balancing thorough compliance with a simple client experience. While networks and appointed representative regimes require complete records covering verified income, committed outgoings, and potential vulnerability indicators, static forms force applicants to wade through irrelevant questions. This produces poor data that paraplanners must clarify and re-enter into network back-office systems.

Improving your factfind process means replacing static documents with progressive, role-specific data collection. By routing applicants through questions tailored to their employment status and borrowing requirements, brokerages capture cleaner data on the first pass, reduce pre-submission re-work, and increase case capacity without adding headcount.

What Is a Factfind in UK Financial Services?

In UK regulated financial advice, a factfind is the structured collection and evidentiary record of a client's personal, financial, and circumstantial data. It serves as the operational and legal foundation underpinning any regulated recommendation—whether for a residential mortgage, buy-to-let portfolio, protection policy, or wealth management strategy.

Far from being a passive administrative form, the factfind serves a critical dual function within an advisory business:

• Operational assessment and affordability: It gathers the raw financial data—income streams, credit commitments, regular outgoings, and deposit sources—required to stress-test affordability against lender criteria and establish commercial viability.

• Regulatory compliance and audit defence: It constitutes the permanent evidential record proving the adviser has complied with Financial Conduct Authority (FCA) rules, including Know Your Customer (KYC) requirements, Mortgages and Home Finance: Conduct of Business (MCOB) suitability standards, and Consumer Duty mandates to deliver good outcomes and avoid foreseeable harm.

Preliminary Factfinds vs Full Regulatory Records

In high-performing brokerages, the data capture process is split into distinct operational phases rather than approached as a single, intimidating questionnaire. Understanding the boundary between an initial discovery capture and the final regulatory record is essential for maintaining momentum without compromising compliance.

Treating the factfind as a progressive journey—moving from a preliminary filter to a fully verified regulatory record—ensures that advisers do not burden prospective clients with excessive data requests before establishing basic mortgage feasibility.

Regulatory Foundations: FCA Suitability, KYC, and Consumer Duty

In UK retail financial services, a factfind is not merely an intake questionnaire. It is the legal and evidentiary bedrock of every piece of regulated advice. Under the Financial Conduct Authority (FCA) regime, failing to capture complete, verified client data leaves an advisory firm exposed to enforcement action, ombudsman awards, and unenforceable contracts.

Structuring an effective factfind requires balancing statutory requirements across distinct sourcebooks while adhering to the overarching Consumer Duty.

MCOB and COBS: Affordability and Suitability Benchmarks

Depending on whether a firm provides mortgage broking, pure protection, or wealth advice, data collection sits under different chapters of the FCA Handbook:

Consumer Duty: Active Protection Over Passive Compliance

The introduction of Principle 12 and PRIN 2A (Consumer Duty) has fundamentally altered factfind design. Where older factfinds operated as static liability shields, the Duty demands that data capture actively identifies risks and supports good consumer outcomes:

• Preventing Foreseeable Harm: The factfind must surface structural risks early, such as debt consolidation risks, upcoming fixed-rate expiry cliffs, or unhedged income loss. If an applicant seeking a high-LTV mortgage holds zero income protection or emergency reserves, the factfind must document this gap.

• Testing Consumer Understanding: Forms cannot rely on boilerplate legal waivers. The collection process must assess whether the applicant genuinely understands product features, terms, and repayment strategies.

• Identifying Characteristics of Vulnerability: Advisers must proactively record drivers of vulnerability—including health conditions, life events (such as divorce or bereavement), financial resilience, and digital capability—to adapt service delivery accordingly.

The Proportionality Principle: Gathering Material Facts Without Friction

Firms frequently misinterpret compliance by subjecting every client to an exhaustive, monolithic questionnaire. However, FCA guidance emphasises proportionality: the depth of data collected must correspond directly to the scope and nature of the advice sought.

Subjecting a straightforward remortgage client to a 35-page omnibus form covering estate planning and speculative investment experience creates unnecessary operational friction. Worse, onerous administrative hurdles can deter consumers from completing the process, contradicting Consumer Duty rules on consumer support and access to advice. Modern practices maintain regulatory compliance by capturing all necessary material facts using tailored dynamic pathways, ensuring high evidentiary standards without creating unnecessary barriers to advice access.

The Anatomy of a Modern Factfind: Hard Facts vs Soft Facts

A compliant, high-converting factfind must satisfy two distinct demands: the rigid, quantitative criteria required by mortgage underwriters, and the nuanced, qualitative narrative required by Financial Conduct Authority (FCA) suitability standards. When advisory firms treat data capture as a monolithic checklist, clients face cognitive fatigue, and advisers spend valuable interview time untangling misfiled numbers.

Auditing and improving your factfind process starts with isolating two fundamental data types: hard facts and soft facts.

Hard Facts vs Soft Facts: Core Definitions

• Hard facts: The verifiable, empirical data points that determine borrowing capacity and basic eligibility. These include verifiable personal details (legal names, dates of birth, three-year address history), gross and net income, current debts, active credit commitments, property valuations, and baseline expenditure. Hard facts are binary and measurable; they are cross-referenced directly against payslips, tax calculations, bank statements, and credit reports.

• Soft facts: The qualitative insights that explain the human context behind the numbers. These encompass stated client objectives, individual risk tolerance, anticipated future lifestyle plans (such as planned career breaks, family expansion, or retirement timelines), and specific attitudes towards fixed versus variable debt. Soft facts cannot be verified via third-party documents, but they provide the legal justification for why an affordable mortgage product is genuinely suitable.

The Six Structural Components of an Advisory Factfind

An effective factfind architecture groups hard and soft data into six operational components, ensuring clear progression for the client and a structured audit trail for compliance officers:

1. Personal profile: Core identity records, marital status, nationality, residential status, and dependent details.

2. Income and employment: Detailed breakdown of remuneration structures, including basic PAYE salary, guaranteed versus discretionary bonuses, overtime, or self-employed net profit and director dividends.

3. Balance sheet: A comprehensive inventory of tangible assets, liquid reserves, existing mortgage balances, personal loans, hire purchase agreements, and revolving credit facilities.

4. Living costs: Granular expenditure analysis separated into basic essential living costs, committed expenditure (contractual liabilities), and basic quality-of-life spending.

5. Preferences and objectives: Specific borrower priorities regarding payment certainty, flexibility to overpay, capital repayment strategies, and acceptable mortgage terms.

6. Vulnerability indicators: Documented assessments of potential vulnerability under Consumer Duty drivers, including physical or mental health conditions, life-event shocks, low financial capability, or constrained resilience.

Why Factfinds Stall: The Four Operational Friction Points

When an enquiry stalls between the initial meeting and case submission, the issue is rarely a sudden loss of client intent. In most advisory practices, the bottleneck stems from operational friction. Capturing the comprehensive dataset demanded by FCA suitability guidelines, MCOB affordability checks, and Consumer Duty regulations places heavy demands on both the applicant and the practice team.

Across high-volume advisory firms, stalled files cluster around four distinct administrative and structural barriers.

Friction 1: Cognitive Overload Caused by Monolithic Static Questionnaires

Presenting a customer with an exhaustive 16-page static document or a continuous, unsegmented online form creates immediate drop-off. A standard PAYE applicant faced with irrelevant questions—such as complex partnership dividend schedules, offshore assets, or commercial leases—experiences decision fatigue. When applicants encounter questions that do not apply to their circumstances, they either abandon the task or enter rough estimates simply to bypass the field, degrading the integrity of the factfind.

Friction 2: Ambiguous Expenditure Categorisation

Lender affordability calculations depend on clean distinctions between contractual liabilities and everyday living expenses. However, unguided clients routinely struggle to categorise their outgoings accurately:

• Committed expenditure: Irrevocable contractual obligations that will persist post-completion, such as personal loans, hire purchase agreements, and child maintenance.

• Basic essential expenditure: Expenses required for basic health and living, including food, municipal taxes, utilities, and compulsory insurances.

• Discretionary expenditure: Lifestyle costs that could realistically be curtailed to service a debt, such as subscriptions, entertainment, and gym memberships.

Without contextual prompts explaining these boundaries, applicants frequently double-count outgoings by including credit card repayments under household bills, or omit contractual debts altogether. This forces advisers to spend hours untangling bank statements before sourcing can begin.

Friction 3: Disconnect Between Factfind Completion and Initial Document Verification

Treating factfind data collection and document gathering as separate, consecutive phases guarantees delays. If a borrower declares a gross basic income of £50,000 without providing supporting evidence concurrently, the adviser may draft research and select products based on flawed numbers. When the payslips are finally uploaded days later, uncovering salary sacrifice schemes or fluctuating bonuses, the initial research collapses and the case returns to square one.

Friction 4: Re-Keying and Compliance Friction With Network Back-Office Software

Even when a client returns their data promptly, administrative bottlenecks often prevent the case from moving forward. Appointed representatives and regulated firms must log complete audit trails within their prescribed network compliance back-office systems. When client-facing capture tools do not map cleanly to compliance systems, administrators must manually transcribe dozens of fields. This manual re-keying introduces transcription errors, ties up valuable paraplanning capacity, and leaves viable cases sitting inactive in internal queues.

Data Collection Methods Compared: Paper, Static PDFs, and Dynamic Portals

How an advisory firm captures factfind information dictates both operational margin and turnaround time. While the statutory duty to obtain accurate client information remains identical regardless of medium, the operational delivery channel directly governs completion speed, administrative re-keying, and regulatory exposure under UK GDPR.

Traditional Paper and Fillable PDFs: The Latent Overhead

Many brokerages still rely on 15- to 25-page Word templates or static PDFs distributed ahead of an initial consultation. This approach introduces structural friction for two reasons:

• Cognitive fatigue: A static document presents every conceivable question at once. Employed first-time buyers must visually filter past commercial lending queries, director dividends, and complex buy-to-let portfolio schedules, leading to perceived complexity and abandonment.

• Double-entry waste: Data collected on paper or flat PDFs must be manually transcribed by an adviser or administrator into network compliance systems and sourcing engines, multiplying the risk of transcription error.

Advisers using a modern client portal or interactive smart factfinds remove this friction by rendering only relevant sections, ensuring clients see questions tailored directly to their circumstances.

The Risk Profile of Sending Unencrypted Financial Data Over Email

Distributing static factfinds and supporting documentation via standard email creates severe regulatory vulnerabilities under the UK Data Protection Act 2018 and UK GDPR Article 32 (Security of Processing). A standard mortgage factfind contains special category data, explicit financial histories, National Insurance numbers, and banking details.

Standard email protocols transfer information across third-party mail servers in plain text unless end-to-end transport encryption is strictly configured across both the sender and receiver. Once delivered, unencrypted PDFs sit indefinitely in local client 'Downloads' folders and unsecured adviser inboxes, leaving sensitive records vulnerable to mailbox interception and credential stuffing.

Dynamic digital portals replace unencrypted email attachments with bank-grade encryption in transit and at rest, multi-factor authentication, and magic link logins. This guarantees a verifiable audit trail of exactly when a client viewed, entered, and submitted their financial circumstances.

Designing Efficient Journeys: Adapting for Complex Scenarios

A static questionnaire forces every client through the same rigid sequence of questions regardless of circumstance. For a straightforward PAYE employee, navigating questions regarding shareholder funds and balance sheets causes confusion. Conversely, a limited company director faced with a single "annual income" field cannot accurately reflect their remuneration structure. Modern advice firms resolve this friction by deploying dynamic logic routing that adapts the journey in real time.

Employment Logic: PAYE vs Self-Employed Branching

Employment data represents the highest risk of client misinterpretation. Rather than presenting an exhaustive list of fields, dynamic smart factfinds route clients down distinct pathways based on their primary employment status:

Segmenting the data capture this way prevents clients from guessing where their income belongs, reducing the time advisers spend clarifying tax calculations prior to sourcing.

Joint Applicant Journeys: Managing Shared Expenditure

Joint applications introduce duplicate data risk, particularly across committed and discretionary outgoings. When two applicants complete a questionnaire independently, they routinely enter shared household bills twice—effectively doubling their council tax, utilities, and grocery figures. This artificial inflation can distort early affordability models before an adviser reviews the case file.

To avoid this, dynamic workflows divide expenditure into two distinct tiers:

• Household-level expenditure: Captured once across the joint file (utilities, broadband, insurances, council tax, and general housekeeping). One applicant completes this section on behalf of the property.

• Individual financial commitments: Captured separately per applicant (unsecured loans, credit card balances, personal hire purchase agreements, student loans, and maintenance arrangements).

Separating shared domestic outgoings from personal debt lines preserves data accuracy without requiring either applicant to re-enter basic living expenses.

Handling Sensitive Disclosures Securely

Adverse credit events and personal medical histories represent common points of client drop-off. Borrowers often feel uncomfortable recording missed payments, defaults, county court judgments (CCJs), or medical disclosures for protection advice, particularly within shared email chains or unsecured documents.

Addressing sensitive facts requires clear framing and technical privacy:

• Contextual reassurance: Inline prompts must clarify why the information is legally required under FCA suitability standards and explain that disclosing historical issues early allows the adviser to select an appropriate lender or insurer.

• Granular privacy controls: In joint cases involving sensitive protection underwriting or individual credit repairs, each applicant should be able to submit sensitive data privately via a secure client portal rather than exposing personal disclosures to a co-applicant where privacy is requested.

• Audit-ready encryption: Sensitive data inputs should be protected by encrypted sessions and multi-factor authentication, ensuring private details remain strictly between the individual applicant and the advising firm.

Step-by-Step Workflow: Moving from First Touch to Completed Factfind in 48 Hours

Shortening the journey between initial enquiry and completed data capture requires a structured operating model rather than repeated administrative chasing. By decoupling administrative data entry from advisory discovery, brokerages can compress turnaround times down to 48 hours while capturing higher-quality suitability notes for FCA compliance.

Stage 1: Pre-qualification and automated invitation link distribution

Immediately following an inbound enquiry or referral, the adviser or administrator conducts a rapid triage to establish high-level eligibility. Once confirmed, an automated workflow issues an invitation via magic link to the client portal. This prompt delivery captures the client while their intent is highest, setting clear expectations that baseline information is required prior to the formal consultation.

Stage 2: Client self-completion of baseline hard facts prior to formal discovery

The client completes their foundational personal and financial information independently through a responsive digital factfind. This step captures baseline hard facts:

• Three-year address and residential status history.

• Employment details, continuous service dates, and basic salary structures.

• Existing credit commitments, credit limits, and monthly debt repayments.

• Dependants, basic household composition, and current property details.

Because the client enters routine facts at their own pace, the firm avoids spending billable consultation time typing postcodes and national insurance numbers.

Stage 3: Adviser-led discovery call focused on soft facts, validation, and priority setting

With baseline data populated in advance, the adviser reviews the file before dialling in. The conversation focuses on nuanced areas that digital forms cannot reliably assess:

• Soft facts and motivations: The driving reasons behind the transaction, future career plans, and lifestyle aspirations.

• Expenditure realities: Probing committed versus discretionary outgoings to ensure realistic budgeting under Consumer Duty rules.

• Vulnerability and preferences: Identifying health concerns, life transitions, or resilience constraints to inform mortgage term and protection discussions.

Stage 4: Cross-referencing factfind numbers against supporting documents (payslips, bank statements)

The administrative team or paraplanner cross-references declared figures against verified evidence. Basic salary, overtime, and bonuses are checked against three months of payslips and P60s, while bank statements are audited for undisclosed personal loans, child maintenance, or gambling transactions. Discrepancies are flagged and corrected directly within the working case record before sourcing.

Stage 5: Final sign-off and filing into the network compliance audit trail

Once reconciled, the completed factfind summary is published to the client portal for digital review and declaration. Once signed off, the finished data pack and evidence documents are exported into the firm’s appointed representative or network back-office software, cementing an immutable, timestamped audit trail for quality assurance.

How Advizo Streamlines the Factfind Process

For appointed representative brokerages and directly authorised practices alike, replacing an entrenched network system is rarely an option. Compliance teams require their specific back-office record for supervisory oversight, file audits, and regulatory reporting. However, forcing clients to endure legacy forms often causes friction, delays, and incomplete data.

Advizo resolves this operational tension by functioning as the firm's front-line client interaction layer. Your network CRM remains the definitive compliance record, while Advizo handles day-to-day engagement, client tasks, secure portal access, and factfind collection without disrupting back-office compliance workflows.

Smart Structure and Dynamic Employment Pathways

Rather than presenting applicants with a static, sprawling form, Advizo utilises smart factfinds featuring an 8-section guided journey designed specifically to maintain client momentum and drive high completion rates. The interface breaks the information-gathering exercise into logical, digestible segments that prevent cognitive fatigue.

Crucially, the journey responds dynamically to applicant input. When an individual specifies their working arrangement, Advizo activates dynamic employment pathway logic that automatically adapts between PAYE and self-employed applicants:

• PAYE applicants: Presented strictly with fields for basic salary, guaranteed allowances, overtime, commission, and employer details, bypassing redundant corporate trading questions.

• Self-employed applicants: Guided through pathways tailored to sole traders, partnerships, or limited company directors, capturing shareholdings, net profits, salary, and dividend histories without showing irrelevant PAYE prompts.

Cohesive Hand-off to Document Collection

Capturing accurate numbers is only half the battle; those numbers must reconcile with primary evidence. Advizo connects the factfind directly to automated document requests inside the client portal. As soon as financial figures are declared, the system aligns corresponding file requests.

To accelerate file verification, Advizo provides one-click AI analysis for payslips, bank statements, and identification documents. Instead of administrators manually parsing multipage PDF downloads to cross-check gross figures, tax deductions, or salary credits against declared income, the analysis extracts key data instantly for adviser validation.

Predictable, Simple Seat Pricing

Modernising data collection should not create financial or licensing overheads as administrative teams scale. Advizo provides transparent pricing at £95 per seat per month, covering both advisers and administrative team members. This single tier includes unlimited factfinds, client portal access, AI document analysis, and document requests, enabling firms to run clean, professional data capture workflows across their entire client pipeline.

Frequently Asked Questions About the Factfind Process

Operational leaders and appointed representatives regularly encounter regulatory and practical friction when structuring their factfind workflows. Below are the answers to the most common questions raised by advisory practices.

Is a digital factfind accepted by network compliance teams?

Yes. Appointed representative networks and compliance providers require evidence of robust fact-checking, comprehensive Know Your Customer (KYC) data, and a clear audit trail. They do not require clients to type data directly into the network's back-office portal. Modern brokerages frequently capture information using dynamic client-facing systems—such as Advizo's smart digital factfinds—and review the output before lodging the compliance record in their network CRM.

How detailed does client expenditure need to be under Consumer Duty?

Expenditure analysis must be sufficiently granular to test affordability against realistic scenarios and avoid foreseeable harm. Lenders and FCA supervisors expect advisers to clearly differentiate between:

• Committed expenditure: Contractual commitments such as personal loans, credit card balances, hire purchase agreements, and maintenance payments.

• Basic essential expenditure: Non-negotiable household costs, including council tax, utilities, food, insurances, and transport.

• Discretionary expenditure: Quality of life spending, including gym memberships, holidays, and dining out.

Under Consumer Duty, relying purely on broad Office for National Statistics (ONS) averages without checking client-specific figures against bank statements increases compliance risk, particularly for stretched or vulnerable borrowers.

How often should a mortgage factfind be updated for existing clients?

A mortgage factfind must be updated before issuing any new advice. For a remortgage, further advance, or capital raising, advisers must complete a full data refresh, reassessing income, debts, property valuations, and client objectives. For an internal product transfer, while a streamlined journey is common, advisers must still verify that circumstances, retirement horizons, and vulnerabilities have not changed before confirming suitability.

Can a client complete a factfind independently, or must an adviser be present?

A client can complete hard factual data collection independently—such as biographical details, address history, current debts, and income figures—via a self-service portal. However, an adviser must conduct an interview to establish soft facts, interrogate preferences, evaluate attitude to risk, and assess potential characteristics of vulnerability. Self-directed completion gathers baseline data, but the adviser remains legally responsible for the suitability assessment.

What is the difference between a factfind and a suitability report?

While closely linked, these two documents serve distinct regulatory purposes across the advice lifecycle:

Conclusion: Building a Scalable Factfind Workflow

For UK mortgage brokerages and advisory practices, the factfind is no longer just a static regulatory requirement. Handled poorly, it acts as a primary source of pipeline friction, forcing clients into frustrating forms and burying administrative teams in chasing missing data. Handled effectively, it sets the standard for the entire advisory relationship, establishing credibility, accelerating time to submission, and producing clean data that satisfies both FCA scrutiny and lender expectations.

The Three Core Principles of Scalable Data Capture

Modernising your advisory practice does not require lowering your compliance standards. Instead, high-performing brokerages scale their case throughput by building their data intake around three practical operational rules:

• Keep data entry proportionate: Avoid presenting applicants with exhaustive lists of fields that have no bearing on their transaction. Front-load essential questions to establish eligibility and advice direction, leaving secondary details for downstream conversations or structured document requests.

• Adapt logic dynamically: Static templates fail because client situations diverge immediately. Applying pathway branching—such as showing corporate dividend and salary history only to limited company directors while presenting clean gross and net breakdowns to standard PAYE employees—protects clients from cognitive fatigue.

• Pair collection with operational workflows: A submitted form is only half the battle. High-performing practices tether data capture directly to automated task creation, instant document checklists, and secure communication channels rather than leaving completed documents idle in an inbox.

Operational Comparison: Outdated Capture vs Scalable Architecture

Modernise Your Brokerage with Advizo

Transitioning away from clunky data collection does not mean undertaking a painful overhaul of your network compliance setup. Advizo sits alongside your existing network system, managing day-to-day intake, document collation, and client interactions through an intuitive 8-section guided journey with built-in employment pathway logic.

To see how smart digital factfinds and practice management workflows can reduce admin hours and eliminate pipeline stalls across your firm, contact the Advizo team today to book a demo.

How Advizo Streamlines the Factfind Process

For mortgage brokerages and appointed representatives, replacing an established network CRM is rarely feasible or necessary. Advizo sits alongside your existing network systems, allowing your network software to remain the designated compliance record while Advizo manages your day-to-day operational pipeline, client communications, and intake workflows.

Advizo's smart factfinds streamline onboarding using an 8-section guided journey. To keep the process relevant and prevent client drop-off, built-in employment pathway logic adapts fields dynamically depending on whether an applicant is PAYE or self-employed. Clients complete their details securely through a branded client portal secured with magic link sign-in, multi-factor authentication, and automatic session timeouts.

Available at £95 per seat per month with unlimited cases, factfinds, and workflow automations, Advizo helps firms turn data gathering into a predictable administrative asset. Book a demo to see Advizo's smart factfinds and practice management workflows in action.

Frequently asked questions

What are the FCA requirements for a mortgage factfind?

Under FCA MCOB rules and Consumer Duty principles, a mortgage factfind must capture sufficient information to assess suitability, affordability, and eligibility. This includes verifying client identity, current and historic credit commitments, detailed income sources, basic essential and committed expenditure, future retirement plans, and any identifiable characteristics of vulnerability.

What is the difference between hard facts and soft facts?

Hard facts are quantifiable, objective data points such as employment status, gross annual income, mortgage balances, date of birth, and existing credit cards. Soft facts encompass qualitative information, including financial goals, attitude to risk, retirement intentions, preferences regarding payment certainty, and personal concerns that guide which product recommendations are genuinely suitable.

How can brokerages improve factfind completion rates?

Firms can significantly improve completion rates by adopting progressive disclosure rather than sending an exhaustive 30-page static form. Gathering core details first, using pathway logic to hide irrelevant sections such as self-employed accounts for PAYE workers, and breaking data capture into structured phases helps applicants finish forms without friction.

Can a digital factfind replace our network back-office system?

No. For appointed representatives and networked brokerages, the network CRM remains the formal system of record for compliance audits and regulatory file checks. A dynamic front-end platform is used operationally to gather data and verify documents efficiently, after which the clean, verified data is transferred into the required compliance archive.

Conclusion: Building a Scalable Factfind Workflow

The factfind should not serve as an administrative hurdle that stalls viable mortgage cases. When structured effectively, it functions as the operational engine of your firm, establishing regulatory compliance, confirming affordability parameters, and demonstrating adherence to FCA Consumer Duty standards before advice is delivered.

Principals looking to scale their advisory teams should audit where their intake process currently slows down. Moving away from cumbersome static documents in favour of dynamic, mobile-friendly collection journeys reduces drop-offs, ensures cleaner case submissions, and frees up advisers to focus on delivering high-quality advice.

Important information

This article provides general operational information and does not constitute financial, legal, regulatory, data-protection or compliance advice. Firms should consider their own FCA obligations, network or principal requirements and internal procedures.