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AI Transformation for Financial Services: RAISE, AI Readiness Assessment, and Enterprise Delivery
Scaling AI in financial services requires strong governance, integration, and measurable value. In this edition, we explore practical steps for
When AI Coding Tools Become an Engineering Workflow Problem
A guide to spotting hidden overhead before AI-accelerated development scales across teams -> AI adoption is not the same as
AI-Accelerated Delivery for Platform Engineering Lifecycle With Anthropic Claude
Internal platform engineering teams use generative AI to speed up delivery, but arbitrary prompting and generic retrieval rarely hold up
AI-Assisted Delivery Inside a Large Enterprise Codebase
Akvelon engineers introduced a structured AI-assisted workflow for large legacy systems where development often depends on fragmented documentation, distributed knowledge,
Engineering AI Impact: Scalable Platforms, Reliable Pipelines, and Production AI
This edition focuses on a practical question many enterprise teams face today: how to make AI, analytics, and data systems
AI-Assisted RFP Analysis and Estimation Workflow
From RFP Inputs to Spec-Driven Delivery Plans Akvelon developed an AI-assisted RFP analysis and estimation workflow for presales, discovery, and
AI-Turbocharged Systems: Scaling Agents, Workflows, and Infrastructure
This edition focuses on how enterprise teams build and scale AI in real systems – across engineering partnerships, agent workflows,
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Our clients speak
David, the Engineering Manager of Reddit’s Ads Measurement Core Team, expresses his appreciation for the partnership with Akvelon, noting the exceptional support and high-quality engineers provided by Akvelon.
Michael Lu, Principal Software Engineering Manager at Microsoft Azure, reflects on a multi-year partnership with Akvelon. What started with UI development grew into a full offshore team delivering data pipelines, ML, and AI innovation. He highlights Akvelon’s technical strength, proactive solution design, and clear, responsive communication.
Akvelon stays responsive to feedback, adapts as needs evolve, and consistently delivers.
It’s a partnership that frees stakeholders to focus on business, not micromanagement.
That’s why Microsoft continues to trust Akvelon with complex engineering work.