Technical Implementation

Blindspots in integration architecture, deployment, performance, data pipelines, security architecture, and maintenance.

Blindspots in this category

TEC-001ResilientCriticality 6/10

Integration Architecture Weaknesses

Occurs when AI systems are poorly integrated with enterprise architecture, creating bottlenecks, single points of failure, and operational inefficiencies that undermine the AI system's value.

“Will this AI system work reliably with our existing technology infrastructure?”

TEC-002ReliableCriticality 5/10

Model Deployment and Versioning Issues

Emerges when organisations lack proper version control and deployment processes for AI models, leading to deployment failures, inability to roll back problematic updates, and loss of model reproducibility.

“How do we manage updates and changes to our AI models in production?”

TEC-003ReliableCriticality 6/10

Performance and Latency Problems

Occurs when AI systems fail to meet latency, throughput, or cost requirements at production scale, forcing trade-offs between accuracy and performance that were not anticipated.

“Will our AI system perform fast enough for our business requirements?”

TEC-004ReliableCriticality 7/10

Data Pipeline Reliability Issues

Manifests when data pipelines underpinning AI lack monitoring, error handling, and resilience, leading to silent failures that produce incorrect AI outputs for extended periods.

“How reliable are the data flows that feed our AI systems?”

TEC-005ResilientCriticality 8/10

Security Architecture Vulnerabilities

Emerges when AI architecture is designed without security-by-design principles, leaving APIs, data flows, and model interfaces exposed to exploitation.

“How secure is our AI system architecture against cyber threats?”

TEC-006ReliableCriticality 5/10

Maintenance and Support Challenges

Occurs when organisations deploy AI without an honest assessment of long-term maintenance capability, leading to system decay, capability loss, and accumulating technical debt.

“Do we have the technical capabilities to maintain and support our AI systems long-term?”