SLASH ENGINEERING COSTS WHILE ACCELERATING INNOVATION
Retain your top engineers, empower them with AI, and offload routine work to cost-effective teams - all with complete visibility and control.
=>> Click to download the free Lean Engineering Readiness Scorecard and gain actionable insights to reduce costs, improve efficiency, and accelerate innovation
Designed for U.S. product and engineering leaders
The Problem
AI is changing how software is built. Work that previously required full teams can now be delivered by a smaller group of high-performing engineers with the right tools and workflow.
Most engineering organizations still operate with 2015-style team structures. Only 10–20% of the team members are top talent; the rest are bogged down with maintenance, templating, and other commodity tasks that AI and a governed, right-shored capability can complete faster and at a lower cost.
Forward-looking companies are reshaping their teams now to avoid high payroll, slow innovation, and bloated processes.
Our Approach
| Strategic Actions |
Description |
| Retain the top 10–20% of your talent, empowered by AI-enabled workflows |
Keep your A-player core, empowered with AI tools, to set architecture, standards, and manage complex change. |
| Right-shore programmable tasks to our U.S.-governed, Asia-based delivery teams at ~50% of the cost | Shift routine, programmable tasks to cost-effective teams in Asia, managed with U.S. governance. |
| Maintain quality, reduce spend, stay in full control via SLAs and accountable execution |
Ensure high-quality delivery with clear SLAs, proper documentation, and strong accountability. |
What This Looks Like in Practice: Demo Calculation
A U.S. company employs 40 engineers at approximately USD 10,000 per month each.
- Baseline payroll: USD 400,000 per month
- Retain 10 top engineers: USD 100,000
- Remove 20 mid-level roles: USD 200,000 saved
- Add a Gradion delivery unit: USD 50,000
- AI covers the remaining productivity requirement

Net savings: ~USD 150,000/month (~USD 1.8M/year.)
Reinvestment Potential: The savings can be reinvested to scale high-value activities, enhance productivity, or drive further innovation in key business areas, such as increasing capacity in growth areas and investing in high-value talent.
Output is maintained and often improves because the retained core focuses on high-value work, while AI and strategic reallocation streamline operations.
Addressing the Concerns
| Trust |
Gradion combines named senior consultants with vetted delivery teams. Work runs under SLAs, secure access patterns, and clear accountability. |
| Morale | Top engineers gain focus and better tools. Low-value work and bottlenecks are removed. Ownership and standards are clarified. |
| Risk |
Vendor capacity is easier to scale than headcount. Contracts, KPIs, and quality gates provide measurable control. |
Why Organizations Select Gradion

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Elite consulting power to plan, structure, and optimize the operating model
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Execution at scale, at half the cost via Asia delivery centers measured against SLAs
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AI-augmented delivery embedded in workflows to increase output and quality
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Flexible engagement that scales up or down without lock-in
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Results focus that goes beyond a report to accountable execution
Built for U.S. Leaders

Secure governance, data compliance, and high-velocity output

Talent retention and team morale protection

Flexible, scalable engagement—not a fixed-cost offshore team
FREE DOWNLOAD
LEAN ENGINEERING READINESS SCORECARD: BENCHMARK YOURSELF AND GAIN INSTANT CLARITY
Why This Scorecard?
Engineering organizations today are under pressure to deliver faster, smarter, and more cost-effectively. But true “lean” engineering is not just about reducing cost - it requires:
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AI-enabled workflows
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Globally distributed but right-shored teams
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A culture of continuous improvement
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Systems that align engineering velocity with business outcomes
This scorecard provides CTOs and VPs of Engineering with a structured self-assessment to quantify where they stand, and where gaps could slow transformation.
In This Free Scorecard, You’ll Be Able To:
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Benchmark your organization against lean engineering maturity models.
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Evaluate how well your teams leverage AI-enabled development and automation tools.
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Assess right-shoring strategy - balancing global cost optimization with speed, IP protection, and collaboration quality.
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Measure leadership alignment around productivity vs. innovation trade-offs.
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Identify whether your engineering systems, data flows, and governance support scale without friction.
What You’ll Gain
1
Clarity
Understand if your engineering model supports lean delivery or still carries legacy inefficiencies.
2
Actionable Insights
Translate scores into concrete improvement priorities.
3
Strategic Alignment
Position your team to move from “cost-center engineering” to a lean, AI-enabled business driver.