Our AI Agent Portfolio
Software Engineering
Product Management
Marketing & Branding
Human Resources
Admin & Operations
Retail Banking
Thoughts On Emerging AI Agentic Architectures
Crafting Agent Ecosystems That Think, Act, and Evolve
Agent Composability Pattern
ReAct (Reasoning and Acting) Framework
Hierarchical Multi-Agent Architecture
Manager-Worker Pattern
Memory-Augmented Context Windows
Perception-Reasoning-Action Loop
Agentic Workflows Pattern
SquareShift's Layered Agent Operating Model
Core, Adapters, and Cross-Cutting Concerns
Core Intelligence
Strategy Layer
Task Planning & Goal Mapping, Meta-Goal Management
Memory Layer
Context Retention & Knowledge, Long-Term Storage
Reasoning Layer
Multi-Step Logic CoT & ToT, Uncertainty Quantification
Adapters
Perception
Multimodal Understanding
Tool Execution
API & Function Calling
Learning
Feedback Processing
Interaction
Conversational I/O
Deployment
Infrastructure & Serving
Observability
Monitoring & Metrics
Cross-Cutting Concerns
Security: Input validation, safety mechanisms, and attack prevention ensure robust system protection.
Ethics: Value alignment, bias mitigation, and impact assessment guide responsible AI behavior.
Business Value: ROI alignment, use case optimization, and cost management ensure meaningful outcomes.
Ecosystem: Integration standards, plugin architecture, and third-party compatibility enable seamless interoperability.
Governance: Audit systems, compliance frameworks, and oversight mechanisms maintain organizational control.
User Trust: Explainability, predictability, and transparency build confidence in AI-driven decisions.