Thirteen workflows companies already run, across sales, operations, HR, engineering, research and compliance. Each one is decomposed to the cent, and each one hides most of its cost.
Ingest 50-200 transcripts per cycle, run analyst Q&A against them with context stitched from a vector index.
Multi-source research agent that autonomously browses, retrieves, and synthesizes a structured sector brief.
10-K, prospectus, and fund-doc review using a long-context model to extract risk factors, covenants, and material changes.
Recurring agentic run across multiple tickers - news, filings, macro data - producing structured trade signals with compounding history.
Structured investment memo from 20-50 source documents - CIM, financials, management decks, diligence notes - with citation-backed sections.
High-frequency classification and summarization of news and SEC filings into structured alerts routed by materiality tier.
Bulk ingestion of counterparty packs, ownership structures, and AML docs with redundant retrieval patterns typical of compliance workflows.
Analyst chat interface over a RAG index of internal research notes, models, and meeting transcripts with multi-turn conversation history.
Draft a branded, on-message commercial proposal from Salesforce opportunity data and a Box library of past decks, with citation-backed sections.
Turn Zoom, Google Meet, and Teams transcripts into structured summaries and route action items into Slack and Salesforce automatically.
Employee-facing chat over Workday data and policy docs, answering PTO, benefits, payroll, and policy questions inside Slack or Teams with multi-turn memory.
A scheduled agent that reads meeting notes, emails, and market data, then updates Salesforce opportunities - filling fields, advancing stages, and flagging stale deals.
An in-IDE and CI coding agent that reads the repo, writes and edits code, runs tests, and opens PRs - iterating until the task is green.
Book a demo to see how Firedog attributes every AI request across your organization, and what your leadership team can do with the data.