From fraud detection to regulatory reporting, reconciliation to risk scoring — we build AI systems that handle the high-volume, rule-bound work so your finance teams focus on decisions that actually require human judgment.
Six operational pain points where AI delivers the fastest, most measurable return.
Rule-based fraud systems miss the patterns that AI detects — velocity anomalies, behavioural signals, cross-channel inconsistencies that no human analyst can monitor at scale.
Regulatory reports — GDPR, AML, MiFID, Basel — require hours of manual data gathering every period. AI automates the extraction, validation, and formatting so analysts review rather than build.
Matching transactions across ERP, bank statements, and CRM manually — with thousands of line items — is where errors hide and month-end close gets delayed.
AP teams re-key data from invoices, purchase orders, and contracts into finance systems. Each touch point is a potential error, a delay, and a cost.
Credit and portfolio risk models built years ago can't process the volume and variety of signals available today. AI risk scoring runs continuously on live data.
Finance teams produce cashflow forecasts manually from multiple data sources — a process that takes days and is already outdated by the time it's presented to the board.
Each built on your internal data, deployed in your secure environment. No data leaves your infrastructure.
ML models trained on your transaction history identify fraudulent patterns — velocity anomalies, geographic inconsistencies, device fingerprinting signals — in real time. Alerts surface in your existing systems with explainable reasoning, not just a flag.
AI pipelines match transactions across ERP, bank statements, and operational systems — flagging discrepancies, suggesting matches for ambiguous items, and routing exceptions to the right analyst. Month-end close reduces from days to hours.
Regulatory reports are assembled automatically from your data systems — transaction logs, customer records, risk assessments — validated against regulatory requirements, and formatted for submission. Analysts review rather than build.
AI extracts structured data from invoices, purchase orders, and financial documents — validates against purchase orders and supplier master data — and posts directly to your finance system. Approval routing happens automatically based on amount and supplier.
ML models trained on your historical cashflow, seasonal patterns, customer payment behaviour, and pipeline data generate rolling 13-week forecasts — updated daily, not monthly. Scenario modelling lets finance teams stress-test assumptions in real time.
AI credit scoring models trained on your portfolio history, payment behaviour, and external data signals produce continuous risk scores — surfaced in your CRM or lending platform as real-time signals, not point-in-time assessments.
An AI assistant trained on your financial policies, procedures, and historical data that answers internal queries in natural language — "What was our Q3 gross margin by product line?" or "What's the approval threshold for capex over £50k?" — without requiring IT to pull a report.
AI generates P&L narratives, variance analysis, and management commentary from your financial data — following your house style and reporting structure. Board packs are assembled automatically and ready for CFO sign-off, not CFO construction.
All AI operates within your secure Azure or AWS infrastructure. ISO 27001 certified, RBAC enforced, full audit trail on every AI action.
Every AI output — fraud flag, risk score, anomaly alert — comes with reasoning your team can review, challenge, and trust.
We integrate with Sage, Xero, QuickBooks, SAP, Oracle, Microsoft Dynamics, and custom ERP. No system replacement.
GDPR-compliant data handling, encrypted pipelines, role-based data access — built for regulated environments from day one.
We model the business case for each AI use case before a line of code is written. You know the expected return before committing budget.
Six capabilities — all working together on your existing finance infrastructure.
Reconciliation, invoice processing, compliance reporting, approval workflows — fully automated and integrated with your finance systems.
Learn more →Real-time finance dashboards, cashflow forecasting, portfolio intelligence — live intelligence replacing static monthly reports.
Learn more →Internal finance AI assistant — natural language queries over your ERP and BI data, without requiring IT or SQL.
Learn more →Fraud detection models, credit risk scoring, churn prediction for lending portfolios — ML trained on your data.
Learn more →Invoice extraction, contract clause analysis, KYC document processing — structured data from unstructured inputs, posted directly to finance systems.
Learn more →Bespoke finance portals, treasury management tools, client reporting platforms — built with AI features from the ground up.
You need the board pack ready faster, forecasting to be reliable, and the finance team focused on analysis rather than data gathering. AI is a productivity and accuracy story for you.
Regulatory deadlines are non-negotiable. Manual compliance processes are your biggest risk. AI that automates gathering, validates against rules, and creates audit trails is exactly what you need.
Your team is drowning in invoice processing, reconciliation, and chasing approvals. You need AI that handles the repetitive work so your people can focus on the exceptions that actually need judgment.
Every engagement starts with understanding your specific processes — not a generic AI pitch.
We map your finance workflows, identify the highest-volume manual tasks, and quantify the ROI opportunity — before any commitment.
Data architecture, integration plan, security model — all reviewed by your IT and compliance teams before development begins.
AI models trained on your data, integrated with your finance systems — with working demos every two weeks throughout delivery.
Live in your secure environment with RBAC, audit logging, and continuous model monitoring. We don't disappear after go-live.