AI-Native GCC 3.0
for Private Equity
A shared AI-native GCC institutionalizes value creation across the portfolio with a fund-level capability that drives faster EBITDA, lowers execution risk, & strengthens exits
Start with a single pod, prove ROI in 6–8 weeks, then scale into a self-evolving, AI-native delivery engine.
We’ve spent over a decade operating
GCCs for Fortune 100 enterprises
Backed by 2,500+ engineers across AI, data, cloud, DevOps, and QE, we bring the scale of a global integrator with the precision of a boutique transformation partner.
Proven real-world success running large-scale GCCs
- Launched an AI-native GCC in 90 days
- Right-shored delivery; scaled 260+ engineers across U.S., Canada, India within months
- Delivered 19 cross-functional AI-augmented pods aligned to value streams
- Enabled 4× faster releases, 45% lower engineering cost, and 24% higher online conversions
- Modernized the architecture to enable AI-led omnichannel innovation, with embedded DevSecOps, AI-powered SRE, observability, and delivery telemetry
This is GCC 3.0 in production—converting transformation spend into structural EBITDA uplift & buyer-ready digital proof
Private Equity value creation is shifting
Buyers now reward digitally clean, operationally efficient, AI-enabled businesses—not fragmented, asset-by-asset transformation.
We help PE firms institutionalize value creation across the portfolio through a shared AI-native Global Capability Center (GCC), powered by the TechBlocks AI Transformation Engine. You get repeatable execution that accelerates EBITDA, reduces execution risk, and strengthens exit multiples.
Why PE firms are moving to a shared GCC model
TechBlocks’ shared AI-native GCC enables PE firms to:
- Reuse execution platforms, playbooks, and AI agents across assets
- Enforce consistent digital hygiene, governance, and controls
- Retain institutional knowledge across deals
- Deliver faster, lower risk value creation
This isn’t centralized IT. It’s repeatable value creation infrastructure.
Client Success
In savings over 5 Years
Faster release cycles, moving from high-risk to modern AI delivery velocity
Lower engineering costs, with streamlined GCC 3.0 POD-based execution
Scaling Retail Transformation & Velocity with an AI-Native GCC for North America’s Largest Arts & Crafts Retailer
Challenges
Our client, North America’s largest arts and crafts retailer, invested $30M into a digital transformation initiative that spiraled into a $120M overrun, with two years of delays and little progress to show. Their offshore delivery center in China had become a liability—burning $2.2M per month, dependent on in-person releases, and burdened with undocumented systems and Chinese-only documentation. Fragmented U.S. and Canadian tech stacks, legacy systems with no transparency, and a vendor model that ran on ticket-driven delivery slowed every release and amplified risk. At the same time, a 185% year-over-year surge in product listings and rising omnichannel expectations required faster iteration, better system resilience, and improved customer experience. Without a reset, they risked losing both competitiveness and customer trust.
Solutions
TechBlocks transitioned the client’s operations from chaos to control by launching an AI-native Global Capability Center (GCC) and modernizing their retail technology stack end to end:
- Launched an AI-native GCC in 90 days and executed a right-shoring strategy that cut monthly burn from $2.2M to $1M
- Reverse-engineered critical applications and established a scalable reference architecture with embedded DevOps practices
- Scaled the GCC to 260+ specialists across Canada, the U.S., and India, organized into 19 cross-functional PODs
- Modernized delivery by splitting key monoliths into microservices, deploying CI/CD with DevSecOps, and introducing AI-powered SRE agents for 24/7 monitoring and automated incident response
- Gave executives real-time visibility into sprint and release health through delivery telemetry
- Optimized Cloud infrastructure as code (IAC) and FinOps, replatformed 12+ Canadian digital platforms, and enhanced omnichannel experiences with BOPIS, curbside pickup, last-mile delivery, and automated self-checkout
What makes TechBlocks different
A fund-level AI transformation engine, not another GCC
Most GCCs just add capacity. The operating model doesn’t change, so delivery stays fragmented, quality is uneven, and execution is slow. TechBlocks’ shared GCC changes the system and turns AI from experimentation into real operating leverage, powered by three foundations:
AiDE: AI-Native Delivery Engine
AI agents embedded across the full SDLC (Plan – Build – Test – Deploy – Operate) to compress cycle time, standardize controls, and scale execution without scaling cost.
Outcome-Based Model
Commercials aligned to PE economics and outcomes: EBITDA uplift, cost reduction, PMI velocity, and exit readiness.
TechBlocks Enterprise AI
Your “golden path” to practical, scalable AI. TechBlocks Enterprise AI unifies the right models, data, and delivery automation into one governed execution layer, so you can scale AI without stitching together tools, vendors, or frameworks.
AI-Led Business Transformation
We operationalize AI transformation through a practical, outcome-led, maturity journey, ensuring consistent and governed progression across portfolio companies.
1: AI Enablement
3–6 months
Intelligence embedded into existing workflows for fast efficiency gains.
2: Tactical AI-Augmentation
6–9 months
AI-augmented pods drive predictive operations & measurable EBITDA impact.
3: AI-Native
9–24 months
Autonomous, self-optimizing systems embedded into platforms & decisions.
The PE Value Creation Engine
Institutionalized Portfolio Value Creation
Predictable execution at portfolio scale across diligence, 100-day execution plans, PMI, & exit readiness.
- Faster diligence-to-execution handoff
- Consistent delivery quality
- Institutional knowledge retained & reused across deals
- Portfolio-wide consistency and visibility through shared standards, playbooks, and KPI telemetry
Faster EBITDA Uplift
We deploy small, AI-augmented pods for automation, revenue operations, modernization, and PMI acceleration.
- EBITDA impact in 6–8 weeks
- 15–25% EBITDA uplift
- 30–50% lower cost-to-execute
Exit-Ready by Design
Always-on digital hygiene, real-time telemetry and risk controls, and portfolio-wide standards are built in from day one.
- Reduced diligence friction
- Lower remediation spend
- 1–2× EBITDA multiple protection
Outcome-Based Engineering
Pilot fast, scale what works, and pay only for outcomes.
- Pilot first with 1–2 AI-native pods and prove ROI in 6–8 weeks
- Scale what works by expanding into a shared GCC across the portfolio
- Pay only for outcomes with pricing aligned to EBITDA uplift, cost reduction, PMI velocity, and exit readiness
Capital Efficiency by Design
Capital stays focused on growth and value creation, not permanent overhead, duplicated tooling, or bloated run-rate.
- 20–30% lower transformation cost per asset
- 25–40% lower tech & ops run-rate
- 3–5× faster PMI timelines
- No permanent headcount required
Expertise you can trust
“TechBlocks is one of the best engineering companies, especially for creating an offshore COE for S&P with hundreds supporting enterprise platforms. They’ve delivered in tough situations, ramped up quickly, and consistently exceeded expectations.”
Pratik Modi, Head of Technology – S&P Global
Global Financial Information & Analytics Provider.
Ready to institutionalize value creation across your portfolio?
Stop funding one-off transformations and build a repeatable, AI-native value creation engine with GCC 3.0. Talk to a PE value creation advisor and let’s explore what’s possible.
