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Artificial Intelligence

Northstar AI

An AI operations assistant designed to summarize business information, automate repetitive workflows and surface actionable insights.
Type
Product concept
Focus
Applied AI
Platform
Web app · Agents · Integrations

Northstar AI is a product concept created by Cordo Labs to illustrate our approach. It does not represent a client engagement, and the names and data shown are fictional.

The challenge

Why a system like this needs to exist.

Operations teams spend hours triaging email, reading contracts and invoices, and copying information between tools. Generic chatbots don't solve it: they can't access internal systems, can't be trusted to take action and don't fit into existing workflows.

Northstar AI is a concept for an internal assistant that works across a company's documents, inboxes and business systems. It reads what arrives, extracts what matters, drafts the next step and hands off to a person whenever judgment is required.

Our approach

How we'd approach it.

The principles that shape both the product and its architecture.

  1. 01

    Start with the workflow

    Identify high-volume, well-defined tasks where automation saves real time and mistakes are recoverable.

  2. 02

    Ground every answer

    Retrieval over approved sources with citations, so any output can be verified in one click.

  3. 03

    Keep humans in the loop

    Confidence thresholds and review queues for anything consequential.

  4. 04

    Measure continuously

    Evaluation sets and production monitoring catch regressions before users do.

Key capabilities

What the platform does.

  • Document intelligence

    Structured fields extracted from invoices, contracts and forms, checked against validation rules.

  • Workflow orchestration

    Multi-step agents that classify, enrich and route work across systems.

  • Knowledge search

    Natural-language answers across internal documentation, with sources attached.

  • Inbox triage

    Incoming requests summarized, categorized and assigned automatically.

  • Custom integrations

    Connectors for CRM, ERP, ticketing and document storage platforms.

  • Review & evaluation console

    Review queues, prompt versions and quality metrics in one place.

Architecture

A system designed to scale.

A layered architecture that keeps responsibilities clear and every part replaceable as the product grows.

Technology

  • Python
  • TypeScript
  • OpenAI
  • Anthropic
  • PostgreSQL
  • Redis
  • Docker
  1. L1

    Interface

    • Assistant & review app
    • Chat integrations
  2. L2

    Orchestration

    • Agent runtime
    • Tool calling
  3. L3

    Intelligence

    • LLM providers
    • Embeddings
  4. L4

    Data

    • PostgreSQL + pgvector
    • Document store
  5. L5

    Infrastructure

    • Job queues
    • Observability

Designed outcomes

What it's built to deliver.

These describe what the system is designed to achieve, not measured results from a live deployment.

  • 01

    AI workflow orchestration

    Repetitive multi-step tasks completed end to end, with oversight where it matters.

  • 02

    Document intelligence

    Unstructured documents turned into clean, validated data.

  • 03

    Custom integrations

    Insights delivered inside the tools teams already use every day.

Next concept

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Available for select projects

Building something similar?

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