AI Deep-Dive Pack — 12 Entry Points × 8 Priorities × 6 MCP Tools
Consumer Duty (PS22/9), vulnerable customer guidance (FG21/1), fair treatment under COBS/ICOBS/MCOB.
Automate Consumer Duty outcome monitoring and product governance mapping across FCA Handbook sourcebooks.
Detect vulnerability indicators via NLP on call transcripts and complaints data. Early warning for FG21/1 failures.
Parse Consumer Duty rules and Dear CEO letters into machine-readable obligation trees with cross-references.
Forecast consumer harm hotspots by product and demographic. Predict firms failing Consumer Duty outcome tests.
Aggregate complaints data, Ombudsman decisions, and firm disclosures into unified supervisory evidence.
Extract terms from KIDs and suitability reports. Automate pre-approval of financial promotions for vulnerable groups.
Generate Consumer Duty board reports and Parliamentary briefings from RegData and Gabriel sources.
Live financial promotions monitoring for vulnerability red flags. Consumer Duty dashboards with threshold alerts.
UK MAR, MiFID II onshored transaction reporting, wholesale surveillance for fair and transparent markets.
Automate transaction reporting validation under SUP 15A/MiFIR. Cross-reference ARM submissions with market data.
Graph-based detection of insider dealing, layering, spoofing, wash trading via anomalous order flow analysis.
Decode UK MAR, ESMA guidelines, and FCA Market Watch into actionable surveillance parameter updates.
Model market abuse probability by instrument and venue. Optimise false-positive reduction in surveillance engines.
Correlate news flow, PDMR disclosures, and price movements into coherent investigation narratives.
Parse order book snapshots and communications. Extract evidence from chat, email, and voice transcripts.
Market cleanliness statistics and enforcement summaries for FCA Board and HM Treasury.
Sub-second surveillance across LSE, Aquis, Cboe Europe. Live cross-venue manipulative strategy detection.
MLR 2017, FCA Financial Crime Guide, JMLSG guidance, UK sanctions. FCA AML/CTF supervision of 23,000+ firms.
Automate CDD/EDD, PEP screening, and HMT OFSI sanctions matching. Map MLRO reporting obligations.
Transaction graph analysis detecting layering, structuring, mule networks across payments and crypto exchanges.
Parse MLR 2017, FATF recommendations, and FCA Dear CEO letters into compliance checklists.
Model firm-level financial crime risk using enforcement history and SAR patterns. Predict emerging typologies.
Aggregate SAR intelligence, OSINT, Companies House data, and adverse media into investigation dossiers.
Extract beneficial ownership from complex structures. Parse trust deeds and source of wealth documentation.
MLRO board reports, FCA financial crime returns, and NCA referral documentation automation.
Live HMT OFSI sanctions screening. Adaptive transaction monitoring with correspondent banking overlays.
FCA crypto perimeter, financial promotions regime (PS23/6), MLR registration, HM Treasury future framework.
Automate MLR registration compliance for crypto providers. Monitor financial promotions under PS23/6.
Detect unregistered crypto operations. Monitor DeFi protocol risks and stablecoin reserve adequacy.
Parse HMT crypto consultations and FATF Travel Rule/MiCA into UK-specific compliance frameworks.
Model crypto contagion risks to UK financial stability. Forecast regulatory perimeter expansions.
Correlate on-chain analytics, exchange attestations, and conduct data into regulatory intelligence packages.
Parse whitepapers, token docs, and smart contract audits. Extract risk disclosures from promotions.
Crypto market oversight for HM Treasury. MLR registration pipeline analytics and compliance statistics.
Live blockchain monitoring for illicit flows. Real-time promotions scanning across social media and platforms.
FCA SDR, anti-greenwashing rule (Nov 2024), UK Green Taxonomy, TCFD/ISSB alignment.
Automate SDR label eligibility and anti-greenwashing checks. Map sustainability claims to evidence.
Detect greenwashing in investment marketing. Flag ESG data quality issues and inconsistent claims.
Parse SDR rules (PS23/16) and UK Taxonomy criteria into compliance action plans for asset managers.
Model ESG risk transmission. Forecast regulatory stringency and mandatory disclosure expansion.
Aggregate TCFD disclosures, CDP responses, and ESG ratings into validated SDR labelling evidence.
Extract sustainability claims from prospectuses. Cross-reference against SDR naming rules.
SDR implementation progress and anti-greenwashing enforcement analytics for HM Treasury and DESNZ.
Monitor fund sustainability labels. Track ESG data provider compliance and live greenwashing indicators.
FCA Innovation Hub, Regulatory Sandbox, Digital Sandbox, Kalifa Review implementation.
Automate sandbox application assessment. Map innovative business models to FCA Handbook rules.
Detect emerging risks from sandbox participants — novel harm vectors and operational resilience gaps.
Parse Kalifa Review recommendations and international sandbox comparisons into policy intelligence.
Model fintech trajectories and regulatory perimeter implications. Forecast authorisation requirements.
Aggregate sandbox outcomes and international benchmarks into policy evidence for Treasury and DBT.
Extract risk features from sandbox applications. Parse proof-of-concept reports into assessments.
Innovation Hub analytics, cohort performance, and UK fintech competitiveness for Treasury.
Track applications pipeline, testing timelines, and post-sandbox authorisation conversion rates.
MiFID II/MiFIR onshored, Wholesale Markets Review, consolidated tape, UK equity market structure.
Automate best execution monitoring and transaction reporting validation across 400+ firms and ARMs.
Detect systemic risk: counterparty concentration, liquidity withdrawal, clearing member stress.
Parse Wholesale Market Review reforms and Primary Market Bulletins into compliance guidance.
Model liquidity stress scenarios. Predict venue migration and consolidated tape impact.
Aggregate market quality metrics and execution stats for equity market structure reviews.
Parse prospectuses and listing applications. Extract structured data from STORs.
Wholesale supervision reports, transaction reporting dashboards, and venue oversight analytics.
Live microstructure monitoring — order book quality, quote stability, clearing house risk margins.
FCA oversight of SIPPs, drawdown, scams. TPR/FCA joint strategy for DC schemes, dashboards, value for money.
Automate suitability compliance for pension transfers (COBS 19.1). Map value for money to FCA/TPR framework.
Detect scam indicators — cold calling, unauthorised schemes, suspicious transfers. Flag drawdown risks.
Parse pension freedom reforms and TPR governance codes into integrated compliance guidance.
Model retirement income adequacy by cohort. Predict drawdown exhaustion and forecast scam volumes.
Aggregate scheme charges, performance, and member outcomes into value for money evidence.
Extract terms from SIPPs and trust deeds. Parse pension illustrations against statutory assumptions.
Pension market oversight and scam prevention analytics for DWP, TPR, and Work and Pensions Committee.
Monitor dashboard readiness. Track scam intelligence via Action Fraud and FCA warning list updates.
Consumer Duty for advice, Advice Guidance Boundary Review, simplified advice, closing the advice gap.
Automate suitability review against COBS 9A. Validate fact-find completeness and risk profiling.
Detect suitability failings — unsuitable profiling, overconcentration, inappropriate product selection.
Parse Advice Guidance Boundary Review and simplified advice proposals into compliance frameworks.
Model the advice gap by demographic. Predict consumers at risk of poor outcomes without advice.
Aggregate suitability reviews, complaints, and Ombudsman determinations into quality benchmarks.
Extract suitability rationale from advice files. Assess disclosure completeness and consistency.
Adviser supervision analytics and advice gap analysis for Treasury and FCA Board.
Live suitability monitoring across platforms. Track Ombudsman case volumes by advice type.
Enforcement strategy (2024), criminal prosecution, civil penalties, RDC decisions, Tribunal appeals.
Automate case lifecycle from preliminary assessment through RDC referral to Tribunal. Track limitation periods.
Detect repeat offender patterns and recidivism risk. Identify enforcement-worthy conduct via threshold analysis.
Parse enforcement guidance, decision notices, and Tribunal judgments into precedent libraries.
Model enforcement outcomes by violation type and cooperation level. Predict resource needs.
Correlate trading records, communications, and filings into prosecution-ready evidence bundles.
Process millions of documents — email threading, privilege detection, TAR/predictive coding.
Enforcement pipeline analytics and penalty benchmarking for FCA Board and Treasury Committee.
Live investigation tracking — document collection, scheduling, and cross-jurisdictional cooperation.
FCA data strategy (2024–2027), RegData/Gabriel migration, synthetic data, digital reporting.
Automate data validation and quality checks. Streamline Gabriel-to-RegData migration and reporting calendars.
Detect data quality degradation. Identify regulatory coverage gaps via cross-dataset analysis.
Parse data strategy publications and RegTech studies into technology roadmap intelligence.
Model regulatory data needs 3–5 years ahead. Predict obsolete collections and emerging requirements.
Aggregate RegTech capabilities and international comparisons into technology investment evidence.
Extract structured data from unstructured submissions. Parse annual reports into machine-readable datasets.
Data strategy progress, RegData analytics, and capability assessments for FCA Board and GDS.
Live pipeline health across RegData and third-party feeds. Real-time data quality dashboards.
Treasury Select Committee scrutiny, FSMA 2000/2023, post-Brexit regulatory framework.
Track Parliamentary Questions, Committee recommendations, and Government responses requiring FCA action.
Detect reputational risk from debates and Committee reports. Flag policy tensions between objectives.
Parse Hansard, Treasury Committee evidence, and FSMA 2023 secondary legislation into accountability intel.
Model scrutiny trajectories. Predict Committee inquiries and forecast legislative changes to FCA powers.
Aggregate Parliamentary evidence, annual reports, NAO reviews, and PAC recommendations into packages.
Extract commitments from FCA correspondence. Cross-reference against delivery timelines and outcomes.
Parliamentary briefings and Treasury Committee evidence preparation. Automate FSMA s1F reports.
Live Parliamentary monitoring for FCA-relevant debates. Track LROs and statutory instruments.