Replacing Fragmented Manual Workflows With A Governed AI Platform

SmartDev partnered with a Dutch BFSI startup to replace a failing, manually-coded financial advisory prototype with a governed AI workflow automation platform. We rebuilt the platform end-to-end with AI agent grounded in a structured case knowledge base, a real-time risk assessment engine, and an automated guardrail layer that validates every AI response before it reaches an end-user, employer, or consultant.
Industries

BFSI (Fintech)

Solutions

AI Workflow Automation for Compliance & Risk

Products and Services

Financial Management Platform

Timescales

September 2025 (Ongoing)

Country

Netherlands

Business Overview

A Dutch BFSI startup’s financial advisory prototype was failing: high overhead, slow and inaccurate outputs, no AI layer — just hand-coded logic with no way to audit what it produced. For a financial services product, that’s a compliance risk, not just a UX one.

Delivered an AI Workflow Automation, it is built around a governed AI workflow — an AI agent grounded in a structured knowledge base, real-time risk assessment, and a guardrail layer validating every response before it reaches a user.

With the support of SmartDev, a startup gains many results from 70% faster and more accurate, 30% lower operational cost, 55% fewer bugs and 80% user satisfaction that three things a manual or ungoverned AI build can’t deliver together.

The Challenges

  • No AI or Governance Capability: The client had zero in-house AI or intelligent-systems experience, and no internal capability to govern what an AI agent could safely say to end-users.
  • Manual, Error-Prone Workflow: An earlier manual-logic build drove high overhead, low accuracy, slow response times, and a confusing user flow — the classic signature of a process with no automation layer.
  • Legacy Platform Limitations: The existing system’s outdated architecture created technical debt and made it infeasible to bolt on AI features, let alone AI features that could be audited or validated.
  • No Structured Risk / Case Knowledge: Recommendations and guidance had no consistent source of truth — without a structured knowledge base, every AI output risked being inconsistent or unexplainable to a reviewer.
  • Vision vs. Reality Gap: The client’s vision for compliance-grade, AI-driven financial guidance required building an entirely new platform and workflow infrastructure, not patching the old one.

The Solutions

  • Full-Scope Workflow Automation Platform: Designed and built a comprehensive web portal from scratch for end-users, employers, consultants, and administrators with role separation built in from day one.
  • AI Agent on a Governed Knowledge Base: Built a virtual assistant grounded in a structured knowledge base of cases, so every answer traces back to defined, reviewable logic instead of an unconstrained model response.
  • Guardrail-Validated Responses: Added an automated validation layer (guardrails) that checks every AI-generated response against approved boundaries before it reaches a user,  turning “AI said so” into a controlled, defensible output.
  • Automated Risk & Health Assessment: A financial data calculation engine assesses each user’s financial/risk position in real time, replacing manual review with a consistent, repeatable process.
  • Proposal Generation & Audit-Ready Tracking: Smart proposal generation and goal-tracking give every recommendation a documented, timestamped trail.
  • Scenario & Life-Event Risk Visualization: Interactive tools let users model life events (marriage, home purchase, retirement) and see the financial and risk implications visualized before they commit.

Our Technology Stacks

React
Tailwind CSS
Node.JS
FastAPI
LangGraph
Cohere
Langfuse
Redis
PostgresSQL
MongoDB
Azure
Grafana
Confluence
Prometheus

How It Works

1. Capture & retrieve

User queries go through the front-end portal to a retrieval engine, which pulls the relevant context and calculation logic.

2. Generate the response

The AI agent combines that context with the query to generate a grounded response.

3. Validate & deliver

Every response passes automated guardrail validation before reaching the user, employer, or consultant.

Outcomes & Results

Improved User Engagement

Early interactions show strong user interest in the AI assistant and scenario planning tools.

Smarter, Defensible Decisions

Personalized, guardrail-validated insights help users make better, more confidently-informed financial decisions.

Efficient Advisor Collaboration

Consultants can track user progress and provide timely, targeted advice against a consistent, auditable data trail.

Compliance-Ready Foundation

Built for long-term growth, allowing future compliance frameworks and integrations to be added without a platform rebuild.

50%

faster risk assessment and recommendations

70%

less manual compliance documentation

35%

higher advisor engagement

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