AML oversight
Track review dates, risk indicators and unresolved actions across client files.
2 reviews need attention
AI for UK accountancy practices
AI for accountancy that's as precise as your standards.
Keen Quant Ltd builds controlled AI tools for accountancy practices, financial advisers, fintech start-ups and payment service providers. Every output has a clear source, a reason and a permission trail.
Precision matters.
Practice performance view
Monitored
£2.84mmanaged revenue
18.6%margin movement
07items for review
Every flagged movement links to its source data and explanation.
Explainable outputs for review
Role-based access controls
Audit-ready activity trails
Accounting system integration
Partner review pack
March management report
Gross margin34.8%
Variance+6.2%
Revenue rose after recurring advisory work expanded. Source: approved ledger and engagement data.
Accountant reporting automation
AI management reporting for accountants.
Assemble client reports from approved accounting data, then give partners a narrative they can inspect before it reaches a client. The system points to variances, trends and benchmarks without hiding the working.
- Generate delivery-ready dashboards for partner and client review.
- Explain movements in plain language beside the relevant figures.
- Compare performance with selected industry or client measures.
Compliance monitoring analytics
Keep oversight visible before a threshold becomes a problem.
Continuous checks surface exceptions, evidence and ownership across AML, KYC and regulatory reporting work.
KYC controls
Match required checks to client status, with a record of who approved each decision.
Controls within threshold
Regulatory reporting
Monitor data completeness and submission milestones before a report leaves the business.
Next submission in 9 days
Transaction review
Anomaly queue
TX-04821Unusual payment timing
92% confidence
TX-04798New beneficiary pattern
78% confidence
TX-04762Location and amount shift
64% confidence
Fraud detection dashboards
Alerts with the reason attached.
Machine learning can spot unusual transaction patterns at a scale a review team cannot. The decision still needs context, so each alert shows the signals that drove its confidence score.
Explainable AI
Reviewers can see the amount change, beneficiary history and timing pattern behind a flag. That makes escalation easier to defend.
Designed for payment service provider AI and fintech teams that need controlled review.
Fintech regulatory reporting
Turn reporting deadlines into a controlled process.
Collect approved data, run checks, prepare the right format and keep a clear record of review. Each stage has an owner.
01. Collect
Bring together data from agreed systems and reporting periods.
02. Validate
Check missing fields, unusual values and submission rules.
03. Prepare
Generate a structured report with pre-submission checks.
04. Approve
Give the right reviewer a complete evidence trail.
Client portfolio view
Margin by engagement
Lower contributionHigher contribution
Financial adviser analytics
See which client work deserves more attention.
Combine revenue, delivery cost and service-line data to show margin by client or engagement. Partners get a practical view of growth opportunities and relationships that need a closer review.
- Surface high-value clients and services with room to grow.
- Flag underperforming relationships before the next review.
- Give advisers a concise summary for a commercial decision.
A measured next step
Build AI that your regulators and clients can trust.
Tell Keen Quant Ltd where reporting, oversight or profitability work is slowing your team. We deliver from Bray, Windsor and Maidenhead, with a clear conversation about data, permissions and review.