Applied AI Systems & Workflow Engineering

We engineer autonomous systems that eliminate manual operations and revenue leakage.

Off-the-shelf AI wrappers and brittle no-code templates break the moment your volume scales. Coreten Labs diagnoses high-friction bottlenecks inside growing B2B companies and builds production-grade workflows, custom AI agents, and resilient API pipelines.

The Engineering Standard

Most businesses don't have an AI problem. They have an integration reliability problem.

Connecting a single prompt to a webhook takes ten minutes. Engineering a system that handles rate limits, race conditions, and messy edge cases without silently dropping customer data requires real architecture.

Brittle No-Code Wrappers

The Fragile "Wrapper" Trap

Silent Scenario Collapse

Low-code workflows crash on HTTP 429 rate limits during traffic spikes, burning credits and dropping orders.

Unchecked LLM Hallucinations

Free-text chatbots invent pricing, misquote policies, and damage brand trust with real buyers.

Disconnected Silos

Teams still spend 15+ hours a week reconciling CSVs across Shopify, ERPs, couriers, and QuickBooks.

Production-Grade Systems

The Coreten Production Standard

Buffered Queue Architecture

Token-bucket reverse proxies and Redis/BullMQ queues absorb webhook bursts with zero data loss.

Deterministic Guardrails & HITL

Strict JSON schema validation, confidence thresholds, and 1-click Human-in-the-Loop approvals.

End-to-End State Reconciliation

Automated cross-system ledgers that flag discrepancies and generate dispute sheets automatically.

Core Capabilities

Three pillars of applied operational engineering.

Workflow Orchestration

Event-Driven Workflow & ERP Synchronization

We replace manual spreadsheet glue work with fault-tolerant automation pipelines that keep your CRM, ERP, warehouse management system, and storefronts in continuous lockstep.

Key Deliverables:
Multi-channel inventory & order state synchronization
Automated financial, Stripe, and 3PL/courier invoice reconciliation
Webhook orchestration with dead-letter queues & Slack/Discord exception alerts
Autonomous AI Agents

Tool-Calling AI Agents & Custom MCP Servers

We build domain-specific agents connected directly to your internal tools via the Model Context Protocol (MCP)—enabling safe data retrieval, triage, and execution with human oversight.

Key Deliverables:
Official Meta WhatsApp Cloud API lead qualification & booking engines
Internal SOP & document retrieval (RAG) assistants with strict source citation
Custom MCP servers bridging LLMs with Notion, CRMs, and SQL databases
Data & API Engineering

High-Precision API Bridges & Telemetry Pipelines

When off-the-shelf connectors don't exist or hit scale ceilings, we engineer custom middleware, document parsers, and lightweight operational dashboards tailored to your stack.

Key Deliverables:
Vision-LLM extraction pipelines for complex invoices, bills of lading, and PDFs
Rate-limit reverse proxies protecting Airtable, Make, and legacy ERP APIs
Custom internal admin panels and real-time operational ledgers
Production Blueprints

Inside the systems we architect.

Explore how we solve high-friction operational bottlenecks across e-commerce, SaaS, logistics, and service operations.

Omnichannel ERP & Inventory Sync Engine

Step 1
Storefront Webhooks
Shopify / Wholesale
Step 2
Cloud Run Ingress
Token Validation
Step 3
Redis FIFO Queue
BullMQ Idempotent
Step 4
Atomic ERP Sync
Batch SKU Mutator
Step 5
Drift Reconciler
Hourly State Audit
Diagnosed Bottleneck

Simultaneous sales across Shopify Plus, wholesale portals, and marketplaces trigger asynchronous webhook bursts. Standard connectors lag by 15–30 minutes, causing oversold SKUs and manual inventory adjustments.

Engineered Architecture

A high-throughput ingress on Google Cloud Run buffers peak order traffic into an idempotent Redis queue. Batched ERP delta transactions execute with row-level locks, backed by a cron drift-checker that guarantees cross-platform consistency.

Verified ROIEliminates variant overselling during flash volume spikes; reduces manual stock reconciliation to zero.
Engagement Protocol

From operational diagnosis to production deployment in 21 days.

Step 01•Days 1–3

Root-Cause Workflow Audit

We don't start by pitching software. We audit your current tools, map where data or revenue is leaking, and deliver a fixed-scope technical architecture blueprint with clear ROI math.

Step 02•Days 4–16

Isolated Sprint Engineering

We build your custom agents, API bridges, and error-handling queues in a staging environment—stress-testing against rate limits and malformed inputs without disrupting your live team.

Step 03•Days 17–21

Production Deployment & Handoff

We deploy to your cloud infrastructure (or manage it for you), configure real-time Slack/WhatsApp health alerts, and hand over complete documentation and team training.

Runtime Infrastructure
Python / FastAPI
Async Core Services
Node.js / TypeScript
Type-Safe Handlers
n8n / Make
Orchestration & Logic
Model Context Protocol
MCP Tool Calling
WhatsApp Cloud API
Official Meta Webhooks
PostgreSQL / Redis
ACID State & Queues
Initialize Diagnostic

Stop paying skilled people to act like human APIs.

Tell us which manual workflow is slowing your team down. In a 20-minute diagnostic call, we will map the exact bottleneck and tell you candidly how to automate it.

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