AI for Regulated Finance
Most of your onboarding and compliance work is still done by hand.
AI can change that, if it is built for regulated finance.
We work with regulated finance firms on onboarding, KYC, compliance, and document operations.
The data is confidential, the audit requirements are real, and the systems have to hold up under regulatory scrutiny.
Compliance and onboarding
What the work involves today
Onboarding is mostly reading
The workload keeps growing
Compliance time is spent on documents, not risk
Accuracy and audit pressure never let up
Built for regulated finance
A lot of this can be automated. But not with generic AI.
A lot of onboarding, compliance, and document work is a good fit for AI. But off-the-shelf tools do not survive a regulated firm. The work has to be built for that reality.
Custom, not off-the-shelf
Built for confidential, regulated data
Auditing and guardrails built in
Human review built in
Where we focus
What we can help with
The first step is usually not building. It is working out which onboarding, compliance, or document AI opportunity is genuinely ready, what the path to production looks like, and where the constraints are.
Onboarding and KYC operations
KYC, client due diligence, and document checks — the repetitive work that slows every new client relationship.
AI to automate extraction, flag risks, and keep every output traceable.
Document review and compliance
Extracting structured information from contracts, regulatory filings, and client correspondence.
Turning unstructured content into reliable inputs for compliance, reporting, and operational decisions.
AI that holds up in production
Getting AI through the governance, audit, and regulatory requirements of a regulated firm.
Strategic guidance, implementation, or both, depending on where you are.
Sector delivery experience
Led by someone who put AI into production inside a Fortune 5 regulated business
Clearlead is led by Paul Ferguson, former Director of Data Science at UnitedHealth Group, a Fortune 5 insurer and regulated financial services business. He spent 8 years at UHG delivering AI and machine learning at scale, inside the governance, production, compliance, and audit environment of a regulated business.
That background is directly relevant here. Onboarding, KYC, compliance, and document operations in finance share the same production and audit demands Paul worked inside at UHG. He knows what regulated AI actually requires, and where these projects stall in large organisations. That is the experience he brings, not borrowed domain knowledge.
Paul also holds a PhD in information retrieval and NLP and has 20+ years in applied AI and data science across insurance, finance, telecoms, and retail.
You work directly with Paul from the first conversation. No handoffs after the sale, no junior team handling the work behind the scenes.
What clients and colleagues say
Paul is exceptional. We've been so lucky to have him work with us on our health insights engine the past few months. His communication skills are fantastic, he works quickly and thoroughly. We had a number of changes to the scope and plan and he adjusted well to accommodate us.
Angela Edwards
CEO and Founder, Elli Cares
Paul was brought in as an external AI consultant with expertise in search systems to provide guidance on a project to implement an AI-driven supplier sourcing system. As part of this he also built a supplier data enrichment system. I was very happy with Paul's contribution to the project and would have no hesitation in recommending him.
Bill Watts
Managing Director, Eagle Exports
Paul is a great person to work with, and I wouldn't hesitate to recommend him for any role or project. It is rare to find someone who excels in technical expertise as well as interpersonal skills. I have no doubt that all his clients will benefit from his deep technical domain knowledge, his attention to detail and his personal touch.
Peter Cogan
VP Data Science, Optum (UnitedHealth Group)
Paul came into [Qualcomm] to work on the flagship technical capabilities of the company and, in that role, rapidly became a leading light, sharing his broad knowledge and insight with the product team and having direct influence on the roadmap. Diligent and intelligent, he was a key player in the team and a pleasure to work with.
Andrew Pegum
Director of Engineering, Qualcomm
Ready to talk?
A free 30-minute intro call to talk through the onboarding, compliance, or document operations work you have in mind.