Torchrunner is an AI-native operations platform for independent operators: fractional CFOs, fractional COOs, consultants, and solo professionals who run client engagements across CRM, communications, projects, documents, and accounting. It replaces a stack of disconnected tools with one connected workspace built on a single data model, then puts an AI system on top that runs work instead of talking about it.
What does Torchrunner replace?
Torchrunner consolidates the lightweight tools an independent operator usually buys separately: CRM and pipeline, inbox, projects and tasks, documents and knowledge, books, calendar, client portal, automations, and marketing content. The systems you keep, Gmail, Outlook, Drive, Slack, Teams, WhatsApp, and your accounting platform, connect in and sync. Records, conversations, tasks, files, invoices, and AI memory all tie back to the client engagement, so the work has one source of truth.
It is not a bundle of apps that share a login. It is a spine: one data model that every module reads and writes.
How does the AI system work?
Torchrunner's AI is organized like an operations team, not a chat box.
- Archie is the front door: one conversation that reads the page, the client, and the engagement you are in, understands the ask, and routes it.
- The Executive Bench is a set of accountable AI owners for real parts of the business: finance, operations, marketing, client success, and legal. Each is scoped to only the data it should touch.
- Skills are the playbooks each executive uses: update the CRM, draft the deliverable, research the account, run the follow-up, applied the same way every time.
- Runners do the real work: API calls, webhooks, and browser agents that act against business state and log every run.
Every action feeds a persistent memory layer called the Brain, where information is distilled, classified, deduplicated, retrieved in context, and pruned to stay sharp. The structure compounds: tomorrow's work starts from today's. Chaos in. Structure out. Memory compounds.
What makes Torchrunner different from adding ChatGPT to my stack?
Most AI tools sit beside the work. They forget the business unless you paste context back in, they cannot act on your systems, and nothing they produce accumulates. Torchrunner's AI sits inside the business: it has the context, permissions, memory, and accountability that come from running on the same spine as your CRM, inbox, books, and documents. The difference is not the model. The difference is the foundation underneath it.
Who is Torchrunner for?
Torchrunner is built for the independent operator economy: 72.9 million Americans now work independently, 5.6 million of them earn more than 100,000 dollars a year on their own, and fractional executives are the fastest-professionalizing slice of that market. The beachhead customer is the fractional CFO or COO who runs several client companies at once and inherits an entire back office of tooling to do it.
How much does Torchrunner cost?
Founding Operator pricing is 495 dollars per month for the platform, with additional users at 250 dollars per user per month and a launch implementation at 2,500 dollars. Founding pricing is locked in for the first cohort.
How do I get started?
Torchrunner is converting its first paid cohort now. Apply at torchrunner.ai, and the team sets up your workspace, migrates your data, and gets you live.