Apex Lab
AWS Partner with the AI Services Competency
AI Accelerator Program for Fintech by Apex Lab & AWS

Idea to live feature in 6 weeks Built on AWS. No cost. No risk.

Financial services companies process thousands of documents, queries, and transactions daily. We prioritise your best AI opportunity and build it as a secure, compliant, production-ready feature on AWS, at no cost to you.

Use Case Examples

Intelligent Document Processing

Automated extraction and validation of financial documents (statements, contracts, invoices) with 95%+ accuracy.

AI Customer Support

RAG-based chatbot handling 70% of tier-1 support queries about accounts, transactions, and products.

Personalized Financial Advisor

RAG chatbot that analyzes customer history to provide tailored savings recommendations, investment suggestions, and spending insights.

What will you get?

AI Roadmap

Workshops to explore fintech use cases (intelligent document processing, fraud detection, customer service automation, predictive analytics) prioritized by ROI and feasibility.

Full-stack MVP

A deployable AWS build of your top use case, for example automated KYC verification or claims processing, running on your own data and ready to ship.

Scaling Action Plan

A clear roadmap for scaling and adopting your new feature, including technical requirements, resource needs, and an implementation timeline.

Who is it for?

Wealth Management Firms

Exploring portfolio optimisation, market analysis, or client reporting automation.

Digital Banks & Neobanks

Building AI-powered customer service, personalized financial advice, or credit scoring.

Insurtech

Developing claims processing, risk assessment, or policy recommendation engines.

How it works

  1. 1.

    Application & Intro Call

    Submit your application in a minute and schedule a quick call to explore fit, timeline, and next steps.

    We customise the process to match where you are and what you need to move forward.

  2. 2.

    Workshop #1: AI Roadmap Prioritization

    About:

    • • Introduction to your business
    • • Explore and prioritise the most impactful AI use case
    • • Assess technical project readiness

    Outcome: Selected AI project use case

    Resource needed: 2 people for 2 hours

  3. 3.

    Workshop #2: Use Case Refinement

    About:

    • • Align on project goals, success criteria, and metrics
    • • Design high-level architecture and approach
    • • Agree on next steps and project roadmap

    Outcome: Detailed project plan

    Resource needed: 2 people for 2 hours

  4. 4.

    AWS Project Approval

    About: AWS evaluates the project plan and determines co-funding for the full-stack MVP development.

    Outcome: Go or no-go decision

    Resource needed: 30 mins for alignment

  5. 5.

    Full-stack MVP Build

    About: Our engineering team delivers the agreed project scope in collaboration with your team.

    Outcomes:

    • • Production-ready feature for your selected use case
    • • Documentation and data-driven insights
    • • Clear action plan to scale beyond the program

    Resource needed: 1–2 hours weekly from business and technical stakeholders

  6. 6.

    Project Wrap-Up

    About:

    • • Explore eligibility for additional AWS funding programs
    • • Align the scaling roadmap based on feature performance and validation results

    Outcome: Scaling roadmap and funding options for what comes next

    Resource needed: 1 hour for the wrap-up session

Success stories

Silta

FinTech

Your data room, live on every call

Source-cited answers in under 10 seconds, from a 100 to 200 document data room.

A real-time meeting companion that listens to a live investor call, detects the question being asked, and retrieves the answer with its source before the moment passes.

Read the full story

FAQ

Want to go from idea to live feature with zero risk?

Join the Fintech AI Accelerator and get your AWS co-funded, production-ready feature plus a clear roadmap to scale it, with zero cost and zero risk.