Fractal Achieves AWS Generative AI Consulting Services Competency to Guide Responsible, End-to-End Enterprise Adoption

Fractal earned AWS Generative AI Consulting Services Competency, signaling depth and outcomes. For leaders, it means a faster path from pilots to production with guardrails.

Published on: Oct 24, 2025
Fractal Achieves AWS Generative AI Consulting Services Competency to Guide Responsible, End-to-End Enterprise Adoption

Fractal Earns AWS Generative AI Consulting Services Competency: What Executives Should Know

NEW YORK, Oct. 23, 2025 - Fractal has achieved the Amazon Web Services (AWS) Generative AI Consulting Services Competency, a marker that signals proven technical depth and measurable client outcomes on AWS for generative AI programs.

This AWS distinction identifies partners capable of guiding the full lifecycle: strategy and responsible AI frameworks, model development and customization, deployment and operations, and ongoing governance. For leaders under pressure to turn pilots into P&L results, this reduces execution risk and shortens time to value. Learn more about the program on the AWS Generative AI Consulting Services Competency page.

Why it matters for your roadmap

  • Clarity from day one: a structured path from strategy to production, not just proofs of concept.
  • Lower integration risk: solutions built to align with your AWS stack, security policies, and data estate.
  • Governance first: responsible AI, compliance, and risk management embedded in delivery.
  • Industry traction: foundation models adapted to targeted use cases across sectors.
  • Accountability: competency recognition backed by customer success evidence.

What Fractal brings

  • Strategic Advisory: Generative AI roadmaps, investment theses, and responsible AI principles.
  • Model Development & Customization: Building and fine-tuning foundation models for cross-functional and industry-specific needs.
  • Deployment & Operations: Secure operations, performance optimization, and lifecycle management for applications and workloads.
  • Governance & Risk Management: Frameworks for compliance, security, and ethical use, aligned with enterprise controls.

"Achieving the AWS Generative AI Consulting Services Competency reflects our commitment to enabling clients to unlock the full potential of generative AI responsibly and effectively," said Vikram Magon, Vice President - AWS Partnership, Fractal. "This recognition validates our ability to deliver end-to-end consulting services that help businesses innovate, accelerate adoption, and achieve measurable outcomes with AWS technologies."

Proof points executives will care about

Fractal has a record of delivering generative AI solutions that improve customer experiences, streamline operations, and fuel new capabilities across industries. The firm already holds AWS competencies in Data & Analytics, DevOps, Consumer Goods, Retail, and Financial Services.

Analyst recognition includes Leader placement in the 2025 Forrester Wave for Customer Analytics Service Providers, leadership positions in Everest Group's 2025 Peak Matrix for AI and Analytics Services, and ISG's 2024 assessments for Data Engineering and Data Science Services.

A 90-day plan to real outcomes

  • Identify two use cases with clear economics (e.g., agent-assisted service, knowledge search, marketing content ops) and set target metrics.
  • Stand up responsible AI guardrails: data policies, human-in-the-loop, monitoring, and incident response.
  • Select approach: fine-tune foundation models vs. retrieval-augmented generation; validate with a controlled pilot.
  • Deploy on AWS with security woven in: identity, isolation, cost controls, and observability.
  • Measure and iterate: track quality, latency, cost per task, and ROI; create a rollout playbook.

Questions to pressure-test your generative AI strategy

  • Which top three use cases have quantified value and executive sponsors?
  • What responsible AI framework and governance checkpoints are enforced today?
  • How will we control model drift, prompt leakage, and sensitive data exposure?
  • Do we have a clear build/buy/fine-tune decision and a cost-per-outcome target?
  • What is our plan for change management and workforce enablement at scale?

About Fractal

Fractal is an enterprise AI company focused on enabling better decisions across the business. Its portfolio includes Asper.ai (interconnected decisions for revenue growth) and Analytics Vidhya (a leading data science community). Fractal incubated Qure.ai, which advances the rapid identification and management of tuberculosis, lung cancer, and stroke.

A dedicated research team works on foundational AI, reasoning systems, and agentic approaches. Launched products include MarshallGoldsmith.ai, Vaidya.ai, Kalaido.ai, and the open-source reasoning model Fathom-R1-14B.

Fractal employs 5,000+ professionals across 18 locations, including the United States, Canada, UK, Netherlands, Ukraine, India, Singapore, South Africa, UAE, and Australia. The company has been recognized as one of India's Best Companies to Work For (Top 100, 2025), a Great Workplace for eight consecutive years, and among India's Best Workplaces for Women for five years. It was named a Leader in the 2025 Forrester Wave for Customer Analytics Service Providers and holds leadership positions in Everest Group and ISG assessments.

Next step for leadership teams

If you're building internal capability alongside partner-led delivery, explore practical skills paths for executives and teams on Complete AI Training by job role.


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