01
Agent
Understand the task, establish a plan and select the capabilities required to complete it.
Deldai Platform
From enterprise data to intelligent action.
Deldai's platform vision connects enterprise data, AI models, agents, tools and workflows through a common operating layer. Availability depends on the specific workflow, integrations and deployment configuration; not every architecture capability is currently offered as a generally available product feature.
Deldai Core
Intelligent Runtime
The intended runtime layer brings models, context, tools and enterprise workflows into a coherent operating model. The capability list describes the architecture direction; specific runtime features must be validated for each proposed engagement.
Orchestration
Model routing
Memory and context
Tool execution
Evaluation
Policy controls
Observability
Runtime Lifecycle
From an enterprise task to a controlled outcome.
This lifecycle illustrates the target operating model for intelligent systems. It is an architectural view, not a claim that every stage is available as a turnkey, generally available Deldai feature today. Current scope and implementation readiness are confirmed during technical discovery.
02
Model
Route reasoning and generation through the model or models appropriate for the task.
03
Retrieval
Ground decisions with relevant enterprise knowledge, memory and contextual evidence.
04
Tools
Connect intelligence to approved APIs, applications, databases and enterprise workflows.
05
Policy
Apply identity, permissions, guardrails and execution constraints before actions are taken.
06
Evaluation
Measure task quality, correctness and behavior against defined expectations.
07
Observability
Trace decisions, tool calls, latency, failures and cost across the execution lifecycle.
08
Recovery
Detect failure and support retry, fallback, correction or human intervention.
09
Business outcome
Connect the execution back to a measurable enterprise result rather than an isolated model response.
Platform Architecture
Data. Intelligence. Action.
The architecture groups the intended system into three layers. Individual technologies, connectors and execution capabilities may require separate implementation and validation.
01
Data
Connect and prepare the enterprise data that intelligent systems depend on.
- Enterprise data
- Data products
- Pipelines
- Streaming
- Lakehouse and analytics
02
Intelligence
Bring models, retrieval, agents and reasoning into a coherent intelligence layer.
- LLMs and embeddings
- RAG and knowledge
- Agents
- Memory
- Evaluation and reasoning
03
Action
Connect intelligence to the tools, APIs and workflows that operate the enterprise.
- Tools and APIs
- Enterprise workflows
- Automation
- Business systems
- AI applications and copilots
Built In
Governance across the system.
Security
Protect identities, access, data and AI interactions across the system.
Governance
Apply policies, controls and evaluation throughout the AI lifecycle.
Observability
Trace, measure and understand models, agents, tools and workflows in production.
Operating Model
Intelligence is a system, not a feature.
Deldai is developing an operating-layer approach to connect enterprise data, intelligence and action. For capabilities available to evaluate now, see the documentation and release notes; broader platform work is scoped separately.
01Connect
02Understand
03Reason
04Act
05Observe
Enterprise Intelligent Systems
Build AI as an operating system for the enterprise.
Explore current workflows or discuss a scoped enterprise AI use case with Deldai. Production suitability is assessed against your requirements, controls and environment.