Slash is evolving its Twin product from a conversational helper into a comprehensive AI-controlled interface for routine business financial tasks, as it prepares to embed the system into its main dashboard and expand automation capabilities across finance functions.
Slash is pushing its Twin product from a conversational helper into a deeper operating layer for business finance, as the fintech prepares to fold the AI agent into its main dashboard in the coming months. Andy Jiang, the company’s head of product, told FinAi News the aim is to make Twin the default interface for routine financial tasks, allowing businesses to query internal data, connect communication tools such as Slack and automate work that often clogs finance teams’ schedules.
The move comes after Slash raised $100 million in a Series C round in April, a fundraise that valued the business banking platform at $1.4 billion. According to the company, Twin is built with strict controls intended to prevent unauthorised transfers, reflecting a wider effort across the sector to pair automation with limits on what software can do without human oversight.
Jiang said Slash is now treating Twin less like a standalone chatbot and more like an AI-native control panel for payments, billing and documentation. He argued that agents should replace repetitive tasks that people should not need to handle manually in the future. The product already offers functions such as balance checks, transaction look-ups and spending analysis through Slack, while keeping access tied to user permissions, according to Slash’s product pages.
Slash has also launched a separate AI agent for accounting, aimed at one of the most time-consuming parts of business finance: coding transactions correctly in the general ledger. Jiang said the system learns from historical data, including records from platforms such as NetSuite, and is designed to create mappings that improve over time. Slash says the accounting software can also sync with QuickBooks and Xero, automate categorisation and support faster book closing.
The company is not alone in betting that AI can compress back-office work that once took hours into minutes. Mercury has said it plans to roll out automation for invoicing and transaction categorisation, while a wave of newer startups is targeting bookkeeping, document processing and finance operations with AI tools. For Slash, the strategy appears to be to turn that trend into a tighter product stack, with Twin as the front end and accounting automation as one of the main engines beneath it.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
