AI & Workflow Engineering

AI Workflow Automation & Integration | NubroTech

Expert solutions for AI Workflow Automation & Integration | NubroTech. Build fast with senior engineers. We engineer autonomous agents, RAG knowledge systems, and seamless API pipes that automate manual workflows in 14 days flat.

Book an AI Scope CallExplore SaaS MVP Services →
14 Days
Delivery Sprint
100%
Code Ownership
60%+
Token Cost Savings
Zero
Junior Devs / Padding
Capabilities

What we build into your AI workflows

Autonomous Agent Workflows

Design and deploy task-driven agents using LangChain, OpenAI Function Calling, and Claude Tools that autonomously browse, query databases, and execute multi-step business logic.

Custom RAG & Vector Knowledge Bases

Connect your proprietary documents, databases, and APIs to LLMs using pgvector and Supabase with ultra-low latency semantic search and grounded answers.

Intelligent ETL & Data Pipelines

Automate complex document parsing, unstructured data extraction (PDFs, invoices, receipts), schema normalization, and automated webhook synchronization.

SaaS AI Copilots & Assistant Panels

Embed streaming AI copilots directly into your web dashboard with context awareness, keyboard shortcuts, suggested actions, and audit logging.

LLM Routing & Cost Optimization

Route tasks across OpenAI, Anthropic, DeepSeek, and open-source models with semantic caching and fallback chains to cut API latency and reduce monthly token bills by 60%+.

Production Guardrails & Security

Implement robust input validation, PII redaction, prompt injection defense, schema enforcement with Zod, and rate-limiting for enterprise compliance.

Production Architecture

Modern, maintainable AI infrastructure

Full-Stack AI Pipeline

We do not write fragile demo notebooks. We build production-ready TypeScript and Python backends with asynchronous queues, telemetry logging, and continuous evaluation.

LLM OrchestrationLangChain, LlamaIndex, Vercel AI SDK
Vector DatabaseSupabase pgvector / Pinecone / Qdrant
Backend ServicesNext.js Route Handlers / FastAPI / Node.js
Task QueuesRedis, BullMQ, Inngest, Celery
ObservabilityLangSmith, Helicone, OpenTelemetry
DeploymentVercel, Docker, AWS ECS, Fly.io

The 14-Day Delivery Sprint

[Days 1–3]Schema & Pipeline Design

Architecture lock, prompt evaluation benchmark, and database schema setup.

[Days 4–8]Vector Search & Agent Logic

Embedding ingestion, tool definitions, error boundaries, and webhook bridges.

[Days 9–12]UI Stream & Real-time Integration

Front-end copilot components, streaming tokens, markdown rendering, and UX polish.

[Days 13–14]Guardrails, Security & Handoff

Load testing, security checks, CI/CD pipeline, and complete repository handoff.

Schedule an AI Scope Review
FAQ

Frequently asked questions

How fast can you build and integrate an AI workflow?
Our standard sprint delivers custom AI agent workflows and API integrations in 14 calendar days. We establish prompt pipelines, vector databases, and UI interfaces with daily builds.
Which AI models and providers do you work with?
We integrate OpenAI (GPT-4o, o1, o3-mini), Anthropic Claude (Sonnet 3.5/3.7), Groq, Mistral, DeepSeek, and open-source LLMs hosted via Ollama or vLLM.
Can you connect AI workflows to our existing database or CRM?
Yes. We integrate with PostgreSQL, Supabase, MySQL, HubSpot, Salesforce, Stripe, Slack, Notion, and any REST or GraphQL endpoint using secure serverless webhooks.
Do you provide full source code ownership?
Always. 100% of the codebase, prompts, architecture diagrams, and configuration scripts are handed over directly to your private GitHub repository on Day 14.
Launch Fast

Automate your workflows with senior AI engineers

Book a free 15-minute technical discovery session. We will evaluate your workflow, recommend models, and lock down a fixed sprint scope.

Book Your AI Scope Call

Fixed scope • 14 days • Full repository handover