The difference isn't the technology. It's the operating model built around it.
74% of AI's economic value today flows to just 20% of companies – using the same tools as you, but generating 7x more value from them*.
* PwC 2026 AI Performance Study.
The AI Performance Gap
Many companies mistake buying AI tool licenses for engineering revolution. Yet, when the overall operating model remains manual, you still face multiple roadblocks:
Informal Learning
AI knowledge is often experimental, lacking a structured enablement program.
Governance Friction
Enterprise constraints and security uncertainty slow down software tool adoption.
No ongoing dependencies
AI is used at the individual level but not embedded into repeatable software delivery processes.
Branded AI Experience
Efficiency improvements remain local to individuals, without measurable business-level impact.
“The real challenge is transforming individual efficiency gains into collective, organization-wide performance.”
Claudio González
Global CTO at intive
Embed AI. Don't Just Attach It.
We propose a proven 4-stage methodology to evolve your engineering teams into AI-native organizations:
Identify
Pinpoint exactly where AI can unlock measurable impact to define baseline KPIs and success criteria.
Define
Design the AI-native operating model with standardized workflows and embedded governance tailored for your environment.
Implement
Institutionalize the model across all teams for repeatable, KPI-driven AI-native delivery.
Scale
Embed the model in one live project to validate cycle time, quality, and output gains.Identify
Pinpoint exactly where AI can unlock measurable impact to define baseline KPIs and success criteria.
Define
Design the AI-native operating model with standardized workflows and embedded governance tailored for your environment.
Implement
Embed the model in one live project to validate cycle time, quality, and output gains.
Scale
Institutionalize the model across all teams for repeatable, KPI-driven AI-native delivery.
What you gain:
Empowered Engineers:
From initial requirements definition and design to coding and testing, AI copilots streamline every phase of development.
Autonomous Workflows:
We integrate copilots and agents directly into your delivery process.
Shared
Intelligence:
Intelligence:
We embed AI-native workflows into real projects with measurable results.
Quality
at Scale:
at Scale:
We blueprint your AI-augmented SDLC with governance and
success metrics.
Faster
Delivery:
Delivery:
We train and upskill your teams to operate in an AI Native model.
Backed by 26
years of enterprise trust
intive’s AI-native transformation services are built on 26 years of delivering high-impact, cross-industry software engineering solutions. Global brands and industry leaders have trusted intive for years:
Proof in action
intive partnered with a large fintech platform to scale AI-native software engineering, achieving:
0
%
increase in total development output
0
%
faster feature delivery cycles
0
%
faster modernization implementation
Start your AI Native journey with us:
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