We map your existing manual workflows, failure rate benchmarks, legacy API limitations, and target business SLAs.

We design explicit state transition graphs, error recovery paths, rate-limit retry policies, and human verification gates.

We code the microservices, custom Pydantic schemas, RAG vector chunking indexes, and automation pipelines.

class InvoiceExtraction(BaseModel):
    invoice_number: str
    vendor_name: str
    line_items: List[LineItem]
    total_tax: float = Field(description="Tax in USD")

We connect external webhooks, legacy databases, message queues, and authentication gates with zero token leakage.

We intentionally inject 429 rate throttles, malformed payloads, API timeouts, and network breaks to verify recovery policies.

We deploy persistent containerized instances on high-availability cloud infrastructure with zero-downtime migrations.

We configure end-to-end tracing for token expenditures, step-level latency, execution anomalies, and human approval bottlenecks.

We refine prompt context windows, tune vector retrieval weights, and optimize SQL/Redis queries based on real execution data.