The Stack
Each layer has a single job. The claims platform is the operational system of record. The CRM is the customer engagement system. The data warehouse is the analytical system. No single tool does all three — that path leads to operational debt at exactly the wrong moment.
Claims Management System
Core operational engine — case lifecycle from accepted lead to settlement
Purpose
The claims platform is the processing backbone of the operation. It manages the full lifecycle from accepted lead through to live claim, settlement or closure. It handles matter creation, task workflow, document management, SLA tracking, fee tracking, audit trail and correspondence history. Everything else in the stack reads and writes through this system for case state.
SaaS Options
Recommendation
Recommendation
The tools listed are recommendations only. If a claims platform is already in place and functional, do not replace it — design everything else around it. The priority is API accessibility. Whatever system is in use should expose read/write endpoints so the intake layer, portal and analytics pipeline can connect to it without manual data entry.
CRM & Customer Communication
Relationship layer — contact state, engagement, segmentation, campaign orchestration
Purpose
In the PCP redress market, the quality of communication after lead capture will directly affect conversion, retention and case completion rates. The CRM holds contact state, engagement history, consent preferences and campaign logic. It triggers the communication journeys across email, SMS and WhatsApp. It does not replace the claims platform — it manages the customer while the claims platform manages the case.
SaaS Options
Open Source / Build
Recommendation
SuiteCRM is the recommended direction — open source, fully customisable, and capable of handling the contact management, segmentation and communication orchestration this operation requires. It avoids long-term SaaS licensing cost at volume and gives full control over the data model. Requires engineering resource to stand up and maintain, but that cost is well-justified at the scale this platform needs to operate.
Lead Intake & Partner Integration
Mediator layer — validates, deduplicates and routes leads from all external sources
Purpose
Without a dedicated intake layer, every lead partner becomes a custom integration problem and that gets messy fast at volume. This layer provides REST API endpoints for partner submissions, schema validation, deduplication, source attribution, fraud checks, consent capture, routing rules, enrichment hooks, status callbacks, throttling, rate limiting and partner API key management. It is the most important custom-build layer in the whole estate.
Core Pattern
Supporting Tools
Benson Goldstein Context
An intake layer may already be operational in some form. The first step is to document what currently exists — existing partner feeds, form submissions, deduplication logic — before deciding what to extend versus rebuild. The intake platform at missoldcarfinancehelp.co.uk already handles lead submission, credit check validation, deduplication and e-signature capture. That is a working foundation to build from, not replace.
Internal Lead Generation & Media Buying
Direct acquisition — owned landing pages, paid media, attribution
Purpose
Purchased leads from third parties carry volume risk and quality variability. Internal direct acquisition gives the firm control over cost, quality and timing — critical when the FCA redress window opens and CPL across the market spikes. This layer covers owned claim intake journeys, Meta and PPC media buying, conversion tracking, postbacks and full-funnel attribution back to media source.
Platform Stack
Already Live
Benson Goldstein Context
The internal acquisition layer is already operational. missoldcarfinancehelp.co.uk is live with a full PCP claims intake journey including credit check, lender selection, e-signature and CRM submission. This is a working foundation — the task is to extend its capacity, optimise conversion, and ensure its output feeds cleanly into the formalised intake service in Layer 3.
Credit Check Service
Soft credit checks, agreement discovery, eligibility scoring
Purpose
Credit check and agreement data perform three roles: eligibility qualification, case evidence, and commercial intelligence. The service should be treated as its own bounded component — not a call buried inside the intake journey. It performs soft checks (no consumer credit score impact), returns secondary agreement discovery across all finance agreements on file, and feeds results into both the intake layer and the claims platform.
Bureau / Provider Options
Device / Fraud Layer
Build Rationale
Credit checking should be treated as a dedicated service boundary with its own API contract — not a call buried inside the intake journey. Building this layer means the credit check results are available consistently to the intake layer, claims platform and analytics pipeline. Valid8 is already operational in the existing intake journey and is the natural foundation to build this service around.
Client Portal
Self-service — claim status, document upload, communication, retention
Purpose
At bulk volume, a weak portal experience becomes a direct operational cost — clients who cannot self-serve generate inbound call and email volume that scales linearly with case numbers. A well-built portal reduces drop-off, keeps clients warm through a long claim lifecycle, and handles document collection without staff intervention. Treat portal UX as a conversion asset, not a side project.
Core Features
Tech Stack
Build Rationale
Off-the-shelf legal portals rarely match the specific data model of a PCP redress operation — particularly around multi-agreement management, credit check result display and lender-specific claim status. Building on the same React / Next.js stack as the intake journey also means shared component logic and faster iteration.
Telephony Stack
Inbound and outbound calling — CRM integrated, transcripts into analytics
Purpose
Voice, CRM and case workflows can easily drift apart without a deliberate integration design. Call outcomes and transcripts must push automatically into the CRM and analytics pipeline — not require manual entry. At volume, telephony becomes a significant operational cost centre and a key source of case intelligence. Buy a capable platform and integrate it properly rather than patching a basic system with workarounds.
SaaS Options
Integration Requirements
AI Agent Layer
Triage, follow-up, summarisation — human-in-loop governance required
Purpose
AI is genuinely useful in this context for triage, productivity and controlled communications — but badly governed AI in a legal setting can cause serious harm. The use cases must be constrained, outputs must be logged, and humans must remain in control where legal judgement is involved. Start with the low-risk, high-value productivity cases and expand the scope as governance matures.
Phase 1 Use Cases
Governance Requirements
Analytics, Data Pipelines & Warehouse
Analytical system of record — source quality, conversion intelligence, operational MI
Purpose
Stand the warehouse up early. At scale, the ability to see what is actually happening — lead quality by source, conversion rates by journey step, case progression velocity, communication effectiveness — is a direct competitive advantage. The warehouse is the analytical system of record. Build it before the volume arrives so it is producing intelligence from day one, not being retrofitted when the business is already underwater.
SaaS / Managed
Key Data Domains
Compliance & Governance
Consent, retention, access control, audit trails — SRA and GDPR from day one
Purpose
Teams frequently assume existing legal qualifications cover the compliance layer. They do not. The platform must implement its own explicit controls around consent capture, data retention, access logging and audit trails — independent of the firm's SRA obligations. The FCA / SRA joint crackdown on CMCs and law firms operating in this space makes this a front-line risk, not a backlog item.
SaaS Options
Open Source
Integration & API Management
Gateway, event bus, standards — stops the stack becoming spaghetti
Purpose
Too many tools with too many fragile hand-offs creates operational drag at exactly the moment the business cannot afford it. An API gateway plus event-driven integration patterns stops the stack turning into a collection of brittle point-to-point connections. Define the integration standards early — canonical data model, authentication pattern, error handling contracts — and every new integration becomes a configuration exercise, not an engineering project.
SaaS / Managed
Open Source
Cloud Infrastructure & Security
AWS managed primitives — security baseline, IAM, observability from day one
Purpose
Run on AWS unless there is a strong reason not to. Use managed primitives — RDS, ECS or Lambda, S3, CloudFront, CloudWatch — rather than self-managing infrastructure. Bake security and governance into the platform design from day one: IAM roles, encryption at rest and in transit, VPC isolation, audit logging via CloudTrail. Security is not a phase two item in a legal services platform handling personal financial data.
Core AWS Services
Security Baseline
Build Order
Assuming a claims platform and some lead intake capability already exist, this is the sequence that gets the firm to scale-ready without over-building in the wrong direction at the wrong time. The FCA calendar is the external constraint that shapes Phase 1 and 2 priority.
Phase 1
Stabilise the Core
Start immediately — before FCA rules land
Phase 2
Improve Acquisition & Servicing
Target completion: Q2 2026
Phase 3
Scale Operations
In place before Q3 2026 payment wave
Phase 4
Advanced Intelligence
Q4 2026 and into 2027
Decision Framework
The rule is simple: buy commodity infrastructure where the market has solved the problem. Build where there is genuine competitive differentiation — the intake logic, the routing rules, the client portal, the intelligence layer. Every custom build should earn its engineering cost.
Claims Management
SaaS Direction
Proclaim / Osprey / LEAP — use existing if in place
Build Direction
Not recommended early
CRM
SaaS Direction
—
Build Direction
SuiteCRM
Lead Intake
SaaS Direction
Extend existing if in place
Build Direction
Custom intake service if not
Media Buying
SaaS Direction
Native ad platforms + Everflow
Build Direction
Custom forms and attribution
Credit Check Service
SaaS Direction
Valid8, Checkr, bureau APIs
Build Direction
Custom service wrapper
Client Portal
SaaS Direction
Vendor portal if capable enough
Build Direction
Custom React / Next.js portal
Telephony
SaaS Direction
Aircall / Twilio / Five9 / Connect
Build Direction
Asterisk — more ops overhead
AI Layer
SaaS Direction
Anthropic / OpenAI APIs as model layer
Build Direction
Custom orchestration — open source tooling
Analytics / Warehouse
SaaS Direction
—
Build Direction
Metabase / dbt / Airbyte / PostgreSQL
Compliance
SaaS Direction
OneTrust / LogicGate / Vanta
Build Direction
Wazuh / policy-led controls
API Management
SaaS Direction
—
Build Direction
Kong / APISIX / Tyk
Cloud Infrastructure
SaaS Direction
AWS managed services
Build Direction
Self-managed if necessary
System Architecture
The twelve layers don't operate in isolation. This is how data flows through the platform — from lead acquisition through to settlement — and where each component sits in the overall system design.
Internal Media & Landing Pages
missoldcarfinancehelp.co.uk · Meta Ads · Everflow
External Lead Partners
Third-party generators · API submissions
Lead Intake & Partner Layer
Validation · Deduplication · Routing · Source attribution
Credit Check Service
Valid8 · Checkr · Tri-bureau soft checks
CRM & Customer Comms
SuiteCRM · Email · SMS · WhatsApp · Journeys
Claims Management System
Proclaim · Case lifecycle · Workflow · SLA
Client Portal
Progress · Docs · Self-service
Telephony
Aircall · Twilio · Transcripts
AI Agent Layer
Triage · Summarisation · Follow-up
Analytics, Data Pipelines & Warehouse
Metabase · dbt · Airbyte · PostgreSQL · Source quality · Conversion intelligence · Operational MI
AWS Cloud Infrastructure
ECS · RDS · S3 · CloudFront · CloudWatch · IAM · VPC isolation · Security baseline