Architecture
The system's four layers: orchestration, collection, processing, presentation.
The Mission Growth architecture has four layers. Each layer carries a single responsibility and passes its output to the next. As a result, the system runs as one continuous flow from data collection to insight generation and action delivery.
How it works
| Layer | Role | Output |
|---|---|---|
| Orchestrate | Decides who the work is for, with which rules, and in which module | Operating frame |
| Collect | Pulls data from platforms and brings it onto a common ground | Current data and signal set |
| Process | Interprets the data, correlates it, and sets priorities | Insight and action |
| Present | Delivers the result on the right channel in the right format | Report, notification, chat output |
Orchestrate
This layer sets the context the system runs in. The same module can operate with different priorities, sensitivity thresholds, and delivery preferences across different companies.
Decisions resolve through four levels:
- Per-call request: Parameters specific to that call.
- Customer and project settings: Organization-specific preferences and constraints.
- Module defaults: The module's built-in behavior.
- Global defaults: System-wide baseline settings.
This structure lets new capabilities be added to the existing system in an orderly way.
Collect
Data comes from two main sources:
- Built-in integrations: Platforms that work through authorized connections.
- Native connectors: Integrations that need more specific access or deeper observation.
The collection layer converts incoming data into a form usable on the shared decision surface, normalizes it, and surfaces the health of the data flow.
Collection can run in continuous monitoring or scheduled mode.
Process
The decision logic runs in this layer. Here, Mission Growth does the following:
- Selects the right specialist: Kayra activates the suitable specialist agents based on the incoming task.
- Interprets context: Current data, past decisions, and active rules are evaluated together.
- Structures the output: Insight, action, and confidence level are separated and prepared for presentation.
This layer flags inconsistent data, checks quality, and makes results traceable.
Present
The insight is routed to the channel that fits the context best:
- Product panel
- Messaging channels
- PDF report
- Real-time chat stream
The goal is to land the decision inside the user's workflow.
Infrastructure components
| Component | Role |
|---|---|
| API layer | Secure data exchange with external clients |
| Data layer | Multi-tenant storage and search |
| Agent orchestration | Task distribution among specialist agents |
| Model routing | Suitable model chain and failure resilience |
| Memory layer | Recall of historical context |
| Integration layer | Platform access and action channels |
| Observability | Visibility into errors, performance, and flows |