OUR EXPERTISE

AI Solution Delivery

AI has been a foundational part of our software delivery practice since 2023 - we’ve only continued to learn and adapt as the ecosystem has advanced. Our expertise has resulted in a framework that helps you determine what to keep, what to build, what to modernize, and what to retire in order to move your business forward.

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Model 2 AI Delivery

Model 2 AI Delivery

Our AI-native methodology disrupts the conventional software delivery lifecycle cycle and empowers us to build with speed and confidence. Humans act as the conductor: we determine the direction, make decisions, and review outcomes; AI is the accelerator, performing the heavy lifting across the SLDC that results in profoundly faster delivery.

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Case Study

Case Study

Accelerated Product Engineering for a Digital Wealth Platform
Originally estimated to be 8 months of work, our Model 2 approach enabled our team to deliver a solution in just 12 weeks. We designed and built a connectivity layer that integrated trading, record-keeping, fund administration, and other operations for managing alternative investments into a single purpose-built platform.
200+
Case Types and Subtypes
5+
Servicing Domains
Full SDLC
AI Coverage Define to Deploy
// THE CHALLENGE
  • Case management used as a passive tracker, with actual work scattered across email, spreadsheets, and disconnected systems
  • Manual, procedure-driven processes with no structured lifecycle, milestone controls, or audit trail
  • Weak approval controls and fragmented investor data spread across multiple platforms
  • No intelligent routing, prioritization, or automatic classification of incoming requests
// THE SOLUTION
  • AI agents embedded across intake, identity verification, document validation, workflow orchestration, and case closure
  • Standardized request taxonomy and reusable workflow patterns applied consistently across all servicing areas
  • Unified data model with two-way connectivity to fund manager systems via a standardized API layer
  • Real-time operational intelligence with AI-driven bottleneck detection and continuous process improvement
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Relevant Insights

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Why exception handling is the real bottleneck in KYC and AML

This piece explains how exception handling, straight-through processing, and queue design shape KYC onboarding speed and AML compliance outcomes.

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The credibility gap between AI ambition and production reality

This piece explains the AI credibility gap in wealth management, shows how AI washing appears, and outlines how teams move pilots into production.

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The true cost of waiting to act on AI

A clear look at the cost of waiting on AI, with practical guidance on early use cases, risk controls, and where firms start seeing measurable gains.

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Delivering AI value while you build the data foundation

A practical guide to sequencing AI use cases, foundation work, governance, and measurement so wealth firms can show value within 3 to 6 months.

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