AI for
Compliance Teams
Compliance teams spend valuable time collecting evidence, comparing policy and preparing routine analysis. We can automate that busywork and prepare drafts of actions, whilst keeping humans in the loop to make decisions. We can then track their judgements for auditability.
Gather the evidence
Flag unusual cases
A person signs off
Your team spends less time chasing information.
Workflows we automate
Horizon scanning: Summarise FCA/PRA/ICO publications and sanctions feeds into a short, targeted daily brief
Policy mapping: New regulation in, affected controls/policies out, including gaps
AML alerts, sanctions screening: Pre-prepare the research and supporting info for analyst judgement
Marketing / Consumer Duty: Flag problematic phrases, prepare responses
KYC / adverse media: Prepare information for review
Audit prep: Assemble audit packs from evidence in your systems
DPIA preparation
Third party questionnaires
Each of these involves a lot of busywork before judgement is required, such as ingesting information from regulators, working out where it sits within your policies, pulling up customer information for sanctions alerts, checking marketing material for problematic phrases.
This is an opportunity to increase their productivity. It’s a great opportunity for compliance leaders, such as MLRO, DPO, and SMF, to show innovation and cost-savings.
Technical points
Compliance is a use-case for AI which needs to be more tightly controlled than general LLMs: no conversation allowed, must be auditable. Our workflows do this and are built with governance in mind. ChatGPT style interactions aren’t appropriate.
We know about the requirements for human intervention under UK GDPR for automated decisioning
We know about PRA expectations for model-risk management (SS1/23).
Prompt injection is a major security consideration for LLMs, our workflow ensures external/onboarding documents are treated as data, not instructions. We can explain why this matters
EU AI Act: credit scoring, health/life insurance premiums are high-risk, other uses probably aren’t. Those requirements apply from December 2027.
Indexing takes place securely within customer’s own tenancies, access can be synchronised with existing permissions.
How the product is bought
- Modular, easy-to-understand pricing: we’ll charge for scoping and building the initial workflows, then you’ll pay a monthly fee based on how much LLM compute you require, how much data you’re storing, how many connectors you require. Implementation, maintenance, licence fees will be separate. We can be flexible here, happy to discuss what makes sense.
- Easy onboarding process. It will start with a series of calls/sessions with compliance team including 2nd line, MLRO, and DPO, to understand existing processes and GRC tooling, agree on 2-3 use-cases to automate. Then we’ll build these use-cases, implement, agree success metrics. We’d envisage this happening alongside existing processes with analyst feedback each week, full auditability of LLM usage. Then we’ll provide all documentation, including model cards, bias testing, prompt-injection testing, DPAs etc, and train compliance team. We will leave them with everything they need to operate the offering. We’d hope to demonstrate time-saving, increased productivity by freeing up analyst hours to focus on higher-value tasks rather than headcount reduction, improved SLAs (shorter queue times), quality improvements (fewer mistakes)
Get in touch
Book a call for us to discuss which processes could be automated, then we’ll provide indicative pricing for automating these processes.