Live Product AI Agent / Business Intelligence

BusinessOps — AI-Powered Business Intelligence Plugin

An AI-powered Claude Code plugin that transforms business spreadsheets and public research into actionable business intelligence. Features business analytics, sales and customer insights, profitability, cash flow, forecasting, anomaly detection, competitor research, SWOT analysis and strategic decision support.

BusinessOps overview: the BusinessOps logo and a Claude Code session running /business-health on a sales spreadsheet, with analysis steps, evidence tags, and panels for own-data analytics, public research and strategy and decision tools
Project Overview

About BusinessOps

BusinessOps is a business intelligence and decision-support plugin for Claude Code. Point it at a sales spreadsheet or CSV export and it profiles the file, checks its quality, and reports on KPIs, sales, customers, products, profitability and cash — then forecasts revenue and flags periods that break from their own history.

It also researches companies, markets, competitors and industries from public sources, and assembles SWOT analyses, strategy recommendations, decision packages and executive reports from the evidence it has already established. It is built for business owners, executives, finance and operations teams, analysts and consultants at small and mid-sized businesses whose data lives in spreadsheets.

Platform: Claude Code plugin — runs inside Claude Code on your own machine

The Brief

Problem & Solution

The Business Problem

Small and mid-sized businesses keep their numbers in spreadsheets and exports. Turning them into trustworthy KPIs, forecasts and decisions takes hours of manual analysis — and AI answers are only useful when every figure can be traced and checked.

Solution & Implementation

Built a Claude Code plugin around a deterministic Python analytics engine. Claude commands, skills, subagents and hooks handle the questions, research and drafting; every figure is computed in code, every claim is tagged with its source and confidence, and spreadsheets are analysed locally.

The core of BusinessOps is a deterministic Python engine. Claude never does the arithmetic: KPIs, analytics, forecasts and anomaly baselines are all computed in code, and a data-quality gate stops an analysis rather than letting a damaged file produce a plausible-looking wrong answer.

Around that engine sit 18 Claude commands backed by 16 skills, two specialist subagents — a research scout and an analysis verifier — and hooks that guard file writes. Output separates facts, calculations, interpretations and recommendations, and states its confidence and limitations. Recommendations stay drafts: BusinessOps never executes an action, and anything consequential needs explicit approval.

Capabilities

Main Features

  • Business health & KPIs

    An end-to-end snapshot across sales, customers, products and profit, highlighting the material movements.

  • Sales & customer insights

    Revenue and order trends, mix shift and concentration, new versus returning customers, retention and churn.

  • Product & profitability analysis

    Product contribution and margin, plus gross, operating and EBITDA margins and how they moved.

  • Cash flow & working capital

    Burn, runway, working capital, DSO and DPO — and a clear note of which fields a file is missing.

  • Forecasting

    Revenue and gross-profit forecasts with base, upside and downside scenarios, backtested methods and a measured uncertainty band.

  • Anomaly detection

    Periods that deviate from their own baseline, with size, materiality and the breakdown beneath.

  • Market & competitor research

    Company, market, competitor and industry research from dated, cited public sources, plus benchmark comparisons computed locally.

  • SWOT & strategy

    SWOT analyses and strategy recommendations in which every point cites the evidence it came from.

  • Decision support & executive reports

    Draft decision packages and executive reports, with an optional final check that recomputes every figure from the source file.

  • Privacy & approval safety

    Files are analysed on your machine, research queries carry public terms only, and writes beyond new output files need per-action approval.

Built With

Technology Stack

  • Python Deterministic analytics, forecasting and anomaly engine
  • Claude Code Plugin with 18 commands, 16 skills and hooks
  • AI Agents Research-scout and analysis-verifier subagents
  • Business Intelligence KPIs, profitability, cash flow, SWOT and strategy
  • Data Analytics Excel and CSV ingestion with a data-quality gate
  • Automation Guarded write hooks and verified final reports

Have an idea? Let's turn it into something real.

Tell us what you're building — an AI capability, a software platform, a mobile app or a digital growth push — and we'll come back with a practical way to deliver it.