Technology Strategy & Infrastructure Lens (AIR-T℠)
Whether your data, infrastructure, security and platform controls can carry AI at the stage you are running now, and the one you are aiming for.
Whether the technology estate can carry AI in production.
The Technology Strategy & Infrastructure Lens (AIR-T) measures whether an organization's technology infrastructure, data systems, security posture, and governance architecture are capable of supporting AI in production, not just in a pilot. It surfaces the conditions that determine whether a technically successful model can be integrated, scaled, secured, governed, and measured once it reaches the systems where the business runs.
It is one of three lenses in the Octant AI Reality (AIR) Index℠. Each answers a different question, and each is a separate client decision.
Organizational
Whether the enterprise is designed and governed to deploy AI at scale.
Technology
Whether the technical foundation exists to build, deploy, and run AI reliably.
Leadership
Whether leaders can bridge AI strategy and technical execution.
Eight dimensions of technical foundation.
The AIR-T evaluates eight dimensions, each scored on the AIR maturity scale and interpreted against the organization's deployment stage.
Data Infrastructure & Quality
Is the data foundation solid and accessible enough to support AI?
Technology Architecture & Integration
Can the tech stack support, scale, and integrate AI into existing systems?
AI Development & Deployment Environment
Can you build, test, and deploy AI in a repeatable, governed way?
Security & Access Control
Is access to AI systems, data, and models appropriately controlled and secured?
AI Governance & Risk Management
Are model risk controls and evaluation gates built into the platform?
Regulatory & Compliance
Does the organization understand its obligations and can it demonstrate them?
Pilot-to-Production Maturity
Where does the organization sit in its deployment path, and can it move forward?
AI Performance Measurement
Are you tracking whether AI is doing what it is supposed to do?
Five levels, from improvised to optimized.
Every dimension is scored on the same five-level scale used across the Octant AI Reality (AIR) Index, so each score can be described precisely rather than asserted.
Scores are read against your deployment stage.
A Pilot-stage organization scoring a 2 has room to run. An Optimization-stage organization with the same score is carrying production risk it cannot see.
Historic data, not connected to the enterprise, with clear performance measures. You're testing, not deploying.
Connected to the enterprise, with live data flowing through AI. The focus is validation, does this work in our environment?
The system is live, and you're making system-level changes with AI in place to reach optimal ROI and performance.
Where would your organization land?
Octant runs a confidential AIR-T assessment across all eight dimensions, interpreted against your deployment stage. If we have run an AIR-O, both scores land in the same report.
Request an assessment