ADVISORY

Find Where AI Can Accelerate Your Data Engineering. Before You Invest.

A focused 1-2 week engagement for data and engineering leaders running large-scale programs. We identify where AI and automation can cut costs by 30-50%, accelerate delivery timelines, and replace 60-80% of manual engineering work across your data lifecycle.

Advisory Engagement Run ยท Discovery to Executive Business Case
Week 1: DiscoveryComplete
Current workflows, tools, bottlenecks, and team capability assessment
Opportunity MappingComplete
Automation opportunities with immediate ROI potential identified
Week 2: Strategy & RoadmapComplete
Prioritized acceleration roadmap with realistic business case
Executive-Ready OutputsComplete
Operating model, upskilling plan, and implementation priorities
WHO THIS IS FOR

If these questions sound familiar, this advisory is for you.

Where do we start with AI-augmented data engineering?

How do we cut costs and deliver faster at the same time?

Is AI-powered acceleration real or just hype for our use cases?

How do we upskill data teams for AI-driven delivery?

Can we realistically achieve 40% cost savings with faster timelines?

Which tools and accelerators actually fit our environment?

WHAT WE DELIVER

Clarity in 1-2 weeks. Not months.

01

Week 1: Discovery

Current state analysis of workflows, tools, team capabilities, and bottlenecks across your entire data engineering lifecycle. Identification of automation opportunities with immediate ROI potential.

02

Week 2: Strategy and Roadmap

Prioritized acceleration roadmap, specific tool and accelerator recommendations, cost savings analysis with realistic ROI projections, AI-native operating model, team upskilling plan, and executive-ready business case.

WHAT YOU WALK AWAY WITH

Actionable outcomes, not slide decks.

DeliverableWhat It Gives You

Acceleration Roadmap

6-12 month plan with quick wins in 30-60 days

Cost Savings Analysis

30-50% reduction targets with specific initiatives

Tool Recommendations

Which accelerators and tools to deploy for each bottleneck

AI Operating Model

Team structure, roles, and frameworks for AI-native delivery

Upskilling Plan

Competency gaps, training paths, and enablement approach

Executive Business Case

Presentation-ready with ROI, cost-benefit, and implementation plan

WHY 3X

Practitioners, not consultants.

01

Fortune 50 Engineering Experience

Guidance from leaders who have delivered enterprise data programs at scale, not consultants with generic frameworks.

02

Independent Recommendations

We recommend what fits your situation: 3X accelerators, commercial tools, custom builds, or a combination. No vendor lock-in agenda.

03

1-2 Weeks to Clarity

Actionable roadmap and executive business case in days, not months-long assessment cycles that delay decisions.

30 minutes to determine if this is right for you.

Schedule a discovery call. Share your current challenges and goals. We'll tell you honestly whether advisory engagement is the right next step or if a different approach makes more sense.

Frequently Asked Questions

Answering common questions about 3X Data Engineering to help you get started on your modernization journey.

Traditional assessments take 8-16 weeks and deliver high-level strategy documents. Our 1-2 week advisory delivers actionable, engineering-grade recommendations with specific tools, code samples, and implementation steps you can execute immediately.
No. We provide independent recommendations on the best approach for your situation - whether that is 3X accelerators, commercial tools, building custom solutions, or a combination. You are under no obligation to proceed with 3X products.
We often work alongside SIs to provide specialized AI acceleration expertise they lack internally. We can augment your SI relationship or work independently - whichever serves you best.
Absolutely. Our goal is to empower your teams, not create dependency. The advisory includes upskilling plans, training recommendations, and frameworks your team can use independently.
Minimal. We typically work with metadata, architecture diagrams, process documentation, and sample code. We do not need access to production data or sensitive information for the advisory engagement.

Let's talk scale.

Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.

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