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AI for Financial Services That Keeps Decisions Moving and Controls Intact

HAeX builds practical AI solutions for banks, building societies, lenders, insurers, wealth managers, payment providers and FinTech firms. From customer support assistants and financial crime workflows to document reviews and AI governance, each system is designed around customer outcomes, data protection, operational resilience and accountable decision-making.
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Explore Our Financial Services AI Solutions
  • Controls built in
  • Faster case handling
  • Human accountability retained
AI for Financial Services That Keeps Decisions Moving and Controls Intact

Customer data protected

Access permissions, approved data sources and retention rules are defined before any AI-supported process goes live.

Decisions remain reviewable

Sensitive or high-impact outcomes are passed to authorised staff, with clear records showing how each case was handled.

AI use stays documented

Models, suppliers, data flows, system owners and approval requirements are recorded so risk and compliance teams can review them.

Active Operational controls

Automation supports routine checks and case preparation without removing escalation routes, monitoring or final responsibility from the firm.

Where Financial Services Work Slows Down

Small delays soon become large backlogs.

Too many manual checks

Too many manual checks

Applications, claims, transactions and customer requests often pass through several teams. Staff repeatedly gather documents, compare records and complete the same checks.

Customers wait for updates

Customers wait for updates

Customers expect quick answers and clear next steps. When information sits across different systems, even a simple update can take time.

Controls are hard to evidence

Controls are hard to evidence

Firms need to show what each AI system does, what data it uses, who owns it and how errors are reviewed.

The best starting point is controlled, repetitive work. Reduce manual handling, keep important decisions with staff and document the process clearly.

The checks remain. The process becomes easier.

See how AI can improve a typical account-opening journey.

  • Without Connected Support
The customer waits while staff search product pages, eligibility rules and internal guidance.
  • Initial enquiry
Application details are copied into several internal systems.
  • Application submitted
Documents are reviewed manually. Missing evidence may not be found until later.
  • Identity checks
The customer contacts the firm because the next step is unclear.
  • Progress update

Staff re-enter approved information and prepare standard documents before activation.

  • Account opened
  • With AI Support
The customer receives an answer based on approved product and onboarding information.
  • Initial enquiry
Application data moves securely into the correct systems for review.
  • Application submitted
Missing documents are flagged early. Unusual cases go to an authorised colleague.
  • Identity checks
The customer receives clear updates and instructions at each stage.
  • Progress update
Approved records and documents are prepared while final responsibility stays with the team.
  • Account opened

Practical AI Services for Finance

HAeX AI Solutions for regulated firms

Firms exploring AI for financial services need more than a new tool. They need useful systems that fit existing processes, support customers and stand up to internal review. HAeX helps firms plan, build, automate, govern, recruit and train.
  • 01 · Consult

Choose the Right Use Cases

AI Consultancy
HAeX identifies where AI can reduce handling time, support staff and improve customer outcomes. You receive a clear plan based on your systems, data, priorities and regulatory duties.
  • Business and technology readiness review
  • Use cases ranked by value and risk
  • Costed implementation roadmap
  • Board and leadership briefings
  • 02 · Build

Build AI Around Your Firm

Custom AI Development
We build assistants, applications and analytical tools around your approved data, policies and user permissions. Each solution connects with your current systems and passes sensitive cases to the right person.
  • Internal knowledge assistants
  • Customer and adviser support tools
  • Document and case-review applications
  • CRM, platform and API integrations
  • 03 · Automate

Reduce Manual Handling

AI Automation
AI can support routine work across onboarding, complaints, claims, fraud operations and reporting. Clear rules decide which tasks can move automatically and which need staff review.
  • Customer document preparation
  • Complaint sorting and routing
  • Transaction alert preparation
  • Management reporting workflows
  • 04 · Govern

Keep AI Under Control

AI Governance & Compliance
Clear policies and records show how AI is selected, approved and monitored. Risk, compliance, legal and technology teams can see who owns each system and how customer information is protected.
  • AI and model inventories
  • Data and customer-impact reviews
  • Human oversight standards
  • Supplier and change controls
  • 05 · Recruit

Hire for Regulated Work

AI Recruitment
Financial firms need people who understand more than technology. HAeX finds engineers, data specialists and AI leaders who can work with sensitive information, model controls and regulated customer journeys.
  • Financial data scientists
  • Machine learning engineers
  • AI product leaders
  • Governance specialists
  • 06 · Train

Help Teams Use AI Well

AI Training
Training uses familiar financial services tasks. Teams learn how to protect customer data, check outputs, use approved tools and recognise when a person must take over.
  • Operations team training
  • Board and leadership workshops
  • Risk and compliance sessions
  • Responsible-use programmes

Not Sure Where to Start?

The Financial Services AI Readiness Assessment shows where AI may help, what needs attention first and which controls should be in place.

Take the Readiness Assessment

Our Financial Services AI Process

Four steps from use case to controlled launch

A working demonstration is only the beginning. HAeX addresses ownership, data, customer impact and monitoring early so each project has a practical route into production.
Step 1

Define the Use Case

Operations, technology, risk, compliance and data teams agree the goal, customer impact and decision boundaries.

Step 2

Prepare the Controls

Data sources, permissions, suppliers, human checks and escalation routes are documented before development moves forward.

Step 3

Test Real Cases

AI will be tested using approved data and realistic scenarios. Accuracy, fairness, handling time and failure cases are reviewed.

Step 3

Launch and Monitor

The system goes live with named owners, staff training, performance measures and scheduled reviews.

Signs a Process Needs Attention

Several of these issues may point to a good AI use case.

  • Customers wait too long for onboarding updates.
  • Staff enter the same information into several systems.
  • Complaints depend on manual sorting.
  • Analysts spend too much time preparing alerts.
  • Advisers search lengthy policies for routine answers.
  • Teams use public AI tools without clear rules.
  • Leaders cannot see every AI system in use.
  • Compliance evidence is prepared manually.

Sound Familiar?

HAeX can identify where AI may reduce delays, improve visibility and support better decisions.

Book a Meeting with our Team

Questions to Ask an AI Supplier

What every financial firm should check

Ask HAeX the same questions. The answers can become clear requirements for operations, risk, compliance, security and technology teams.
Ask them… The common answer The HAeX answer
Who owns the final outcome? “Your team remains in control.” Every automated action, recommendation and escalation has a named owner and a clear decision boundary.
What customer data is used? “Your data stays secure.” Each data source, purpose, processor, location, retention period and permission is documented.
How are poor outputs found? “We test accuracy before launch.” Testing covers accuracy, inconsistent treatment, unusual cases and customer impact. Monitoring continues after launch.
Can a decision be reviewed? “A member of staff can intervene.” Customer-impacting decisions include a clear review route and meaningful human involvement.
What happens during disruption? “Our platform has high availability.” Dependencies, fallback processes, recovery steps and incident owners are agreed before launch.

Why Financial Firms Choose HAeX

Built for Regulated Financial Services

AI may affect applications, fraud checks, claims, complaints, advice and customer support. HAeX builds the required safeguards into the project rather than adding them at the end.
  • Customer outcomes can be measured
  • People retain decision ownership
  • Approved data guides responses
  • Audit records support review
Explore Our Governance Approach

Included With Every Build

  • AI and data impact review where required
  • Included
  • Model, supplier and data records
  • Included
  • Human review and escalation design
  • Included
  • Accuracy and customer-outcome testing
  • Included
  • Monitoring and incident materials
  • Included

Who we work with

We Serve all types of financial services

Banks and Building Societies

Retail, commercial and mutual banking organisations improving onboarding, servicing, financial crime operations and internal processes.

Lenders and Credit Firms

Mortgage providers, specialist lenders and credit businesses reducing application effort and improving customer communication.

Insurers and Wealth Firms

Insurers, brokers, investment managers and advisers supporting claims, policy servicing, research and access to approved information.

Payments and FinTech Firms

Payment providers, digital platforms and FinTech businesses improving fraud response, compliance operations and customer support.

HAeX Free Resources

Our Three tools to help you plan

Each resource helps financial firms answer an important question before investing in a larger AI project.
  • Free Tool

AI Readiness Assessment

Answer a short set of questions about your processes, data, technology and controls. Receive a readiness score and practical next steps.

Take the assessment
  • Free Tool

AI Opportunity Finder

Explore where AI may support onboarding, customer service, compliance, fraud operations, claims and internal analysis.
Find AI Opportunities
  • Free Tool

AI Policy Starter

Create an editable policy covering approved tools, data handling, staff duties, oversight and escalation.
Generate your policy

Helpful FAQs

Frequently asked questions

Access rules, data sources, storage locations and retention periods are agreed before development begins. Each solution uses only the information required for its task, with permissions and human review matched to the level of risk.

HAeX records data flows, system owners, testing results, decision boundaries and escalation routes. Monitoring and review requirements are also defined so risk, compliance and technology teams can see how the system performs after launch.

Start with a repetitive process that creates delays but does not require AI to make the final decision. Onboarding checks, document handling, complaint routing and internal policy searches are often practical starting points.

Yes. AI can prepare documents, identify missing information, classify cases, organise alerts and draft updates. Sensitive or unusual cases can be routed to trained employees for investigation and approval.

Find the Right AI Starting Point for Your Firm

Bring us one onboarding, servicing, compliance, fraud, claims or reporting process that is consuming staff time or slowing customers down. HAeX will identify where AI can help, what must remain under human control and what a practical first phase should include.
Book Your Financial Services AI Consultation
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