Orchestration
Model routing, structured outputs, tool calling and explicit state transitions.
Technical capability
The model is one component. The system is the product.
NeuBlink’s advantage is infrastructure discipline: repeatable deployment, fallbacks, observability, secure integration and a human who can explain what happened.
Capability status
A clear boundary between what exists, what is offered and what must be proven.
The list below describes the engineering approach NeuBlink can implement. It is not a claim that every adapter or production control is already deployed for a customer.
| Capability | Status | Evidence boundary |
|---|---|---|
| Synthetic workflow demo | Implemented | Deterministic UI with fictional data; no model or customer system is connected. |
| Discovery and workflow mapping | Commercial offer | Begins after payment and access to the agreed workflow owner and systems. |
| WhatsApp, CRM, SharePoint and booking adapters | Customer-dependent | Design and adapter path; provider, credentials and allowed operations are confirmed per pilot. |
| RAG, model routing and tool calling | Pilot/custom implementation | Built against the customer’s data boundary and acceptance set; not current public runtime proof. |
| Observability, audit and recovery | Deployment requirement | Evidence is produced per deployment; this site does not claim an existing customer trace. |
| Security controls | Baseline/SOW requirement | Controls are scoped in the proposal and are not a certification or independent audit claim. |
| Production deployment | Offered custom work | No existing customer deployment is represented on this site. |
| ROI, revenue and containment | Measurement framework | Scenario inputs and agreed KPIs only; no outcome is guaranteed. |
Retrieval
RAG, document chunking, metadata filters, citations and retrieval evaluation.
Tools
APIs, databases, CRM writes, booking, email and WhatsApp behind allow-listed functions.
Safety
Authorization boundaries, prompt-injection tests, PII controls, human handoff and refusal paths.
Observability
Trace IDs, latency, token/cost budgets, tool events, queue state and dead-letter visibility.
Operations
Secrets in runtime config, tenant isolation, environment promotion, rollback and acceptance evidence.
Data
PostgreSQL/D1 where appropriate, object storage for documents and clear retention/deletion rules.
Evaluation
Golden sets, edge cases, regression tests, reviewer labels and customer-owned acceptance criteria.
Architecture pattern
Inbound → orchestration → tools → decision boundary → evidence.
channel
└─ capture + consent
└─ classify + retrieve
└─ authorised tools
└─ draft / act / escalate
└─ trace + evaluate + reportSecurity is scoped, not declared