FINTECH · Agentic AI · Risk · Data Mesh

    From 3 Days to 30 Seconds

    Agentic AI rebuilds credit risk for a Tier-1 global bank.

    TIER-1 GLOBAL BANK · $2T+ AUM // 16 WEEKS // BOLT GROUP

    99%Faster credit risk analysis
    Built with
    Apache Kafka
    Snowflake
    LangChain
    AWS
    PyTorch
    Kubernetes
    Python
    Terraform
    The situation

    A Tier-1 bank managing over $2 trillion in assets was losing deals to speed. Credit risk assessments took three days. Basel III/IV compliance was manual. Fifteen-plus data sources lived behind fifteen-plus interfaces. The cost — roughly $40M in annual opportunity loss from delayed lending decisions.

    Why it mattered
    3 daysManual turnaround per borrower
    15+Fragmented data sources
    ManualBasel III/IV documentation
    $40MAnnual opportunity cost
    client
    Tier-1 Global Bank · $2T+ AUM
    duration
    16 weeks
    services
    Generative AI, Data Engineering, Cloud
    sector
    Banking & Financial Services
    The approach

    Four moves, built to compound.

    1. 01

      Unified data mesh

      Fifteen-plus sources — mainframes, Bloomberg, credit bureaus, CRM — consolidated behind a real-time API layer on Kafka and Snowflake.

    2. 02

      Agent swarm

      Specialized AI agents run data extraction, financial analysis, regulatory checks, and report generation in parallel — not sequentially.

    3. 03

      Risk scoring engine

      Proprietary ML model trained on 10+ years of credit history. 99.7% classification accuracy. Fully explainable to regulators.

    4. 04

      Compliance automation

      Basel III/IV checks, stress testing, and audit trails generated automatically. 80% reduction in reporting overhead.

    Delivery discipline
    • Principal-ledSenior engineers and architects on the keyboard from week one. No staffing pyramid, no handoffs to juniors mid-engagement.
    • Production-firstEvery artefact ships behind a load balancer. We measure success in throughput, latency, and uptime — not slides.
    • Outcome-boundScope, milestones, and acceptance criteria locked at kickoff. We commit to the metric that moves your P&L.
    Technology
    1. 01Apache Kafka
    2. 02Snowflake
    3. 03LangChain
    4. 04AWS Bedrock
    5. 05PyTorch
    6. 06Kubernetes
    7. 07Python
    8. 08Terraform
    16 WEEKS · GENERATIVE AI · DATA ENGINEERING · CLOUD · SHIPPED
    The outcome

    What shipped. In production.

    0%
    Faster analysis
    3 days → 30 seconds
    $0M
    Annual savings
    Recovered lending revenue
    0%
    Error rate
    Across 50,000+ assessments
    0%
    Compliance overhead
    Reduction in manual reporting
    0%
    Model accuracy
    Historical benchmark
    15+
    Data sources
    Unified in real time
    The insight
    "The bottleneck wasn't analyst capacity — it was decision latency. Replacing the workflow, not the workers, is what unlocks revenue."
    BOLT GROUP // PARTNER'S NOTE // BOLT GROUP // PARTNER'S NOTE // FINTECH
    How we engage

    Three shapes. One delivery standard.

    A / Fixed-scope build

    Defined outcome. Fixed price.

    We scope, build, and ship a discrete production system end-to-end. Best when the brief is sharp and the deadline is real.

    B / Retained capacity

    Embedded pod. Monthly cadence.

    A senior pod plugs into your team for a multi-quarter horizon. Roadmap evolves; the engineers stay constant.

    C / Advisory & audit

    Senior eyes. Surgical scope.

    Architecture review, model audit, or technical due diligence. Days to weeks. Written recommendations, not slideware.

    Start the conversation

    Let's build what's next.

    No SDR queue. No discovery deck. Pick a slot or send a note — Dean replies within four business hours.