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01 / AI-Powered Solutions

AI Business Operating Assistant

A single, conversational workspace where business owners and teams can ask questions about their operations, retrieve information and trigger routine workflows — without switching between a dozen tools.

Status:ConceptIn Development
assistant.workspaceConcept UI
What needs my attention this week?
Three items look time-sensitive. I can draft reminders for each — review before sending?
Pending approvalsFollow-upsSchedule
Ask about your operations…

Interface shown is a conceptual illustration. This is an internal product in progress, not a launched product.

The Problem

Operational knowledge in small and growing businesses is scattered across spreadsheets, chats, inboxes and people’s heads. Routine questions and repetitive tasks consume time that should go into decisions.

The Opportunity

Modern language models can understand intent, retrieve context and call tools. Combined with careful system design, they can act as a practical layer between people and the systems they already use.

Product Concept

An assistant grounded in a business’s own data and processes. It answers questions with sources, drafts actions for approval and keeps a human in the loop for anything that matters.

Experience

  1. 01

    Ask in plain language

    Questions like “What’s pending for this week?” are answered using connected business context.

  2. 02

    Review before acting

    The assistant proposes actions — a reminder, a summary, a task — and waits for confirmation.

  3. 03

    See the reasoning

    Answers reference where information came from, so the output can be trusted and verified.

Planned Features

  • Context-grounded answers

    Retrieval over business documents and records.

  • Workflow actions

    Tool calling for tasks, reminders and summaries.

  • Human-in-the-loop

    Approval steps for any action with side effects.

  • Role-aware access

    Responses scoped to what each user is allowed to see.

Architecture

  1. L1InterfaceWeb chat workspace with streaming responses.
  2. L2OrchestrationAgent loop handling intent, tool selection and approvals.
  3. L3KnowledgeDocument ingestion, embeddings and retrieval.
  4. L4IntegrationsConnectors to calendars, sheets and business tools.

Technology

  • Next.js
  • TypeScript
  • AI SDK
  • LLM APIs
  • PostgreSQL
  • Vector search

Current Status

Status:ConceptIn Development

Concept defined; core conversational flow and retrieval layer are in active development. Not yet available to users.

What's Next

  • Complete the retrieval and source-citation layer
  • Design the approval flow for actions
  • Prototype the first integrations
Next project

Smart Inventory Assistant

BUILD • AUTOMATE • SCALE

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