Agently is an AI work assistant designed to bring information from a company’s connected apps and documents into one shared context. Its Jarvis agent uses that context to surface a ranked list of items needing attention, draft responses, and carry out requested work. The product combines cross-app prioritization, searchable company knowledge, agent-driven task execution, and approval controls, making it aimed at people who want AI assistance in their existing workflows rather than a separate standalone chatbot.
Key features
A ranked list of work
Agently gathers items from sources such as Slack, Outlook, Linear, Jira, calendars, and pending approvals into one list of what needs attention. It filters newsletters, bot messages, and calendar replies, while allowing users to see what was hidden. Users can reorder the list, and the product says it learns from those choices to better reflect their priorities over time.
Jarvis can draft replies using company context. The page distinguishes drafting from sending: the user’s approval is needed for a draft to be sent. More broadly, Agently provides an approval gate for external actions such as emails, Slack messages, CRM updates, and calendar changes. Actions can be allowed once, allowed repeatedly, or denied, and an activity record shows what ran and who requested it.
A shared company brain
The product connects to more than 100 apps through connectors, including Slack, HubSpot, Notion, Linear, Google Calendar, Google Drive, Stripe, GitHub, and Gmail. Connections are described as OAuth-based, two-way, and live-updating. Users can also add a website and files such as PDFs, Word documents, and spreadsheets, with supported sources including Confluence, Dropbox, and Google Drive. This information becomes searchable company memory for Jarvis to use when responding or completing tasks.
Agently says Jarvis builds an initial understanding of a company, including what it does, its branding, and who works there, then updates that context as things change. Answers include sources so users can check where information came from. The company brain is also available through MCP, giving compatible tools access to that context.
Delegation and output
Users can ask Jarvis to work through chat or Slack, and the page also describes voice mode. Rather than limiting results to chat replies, Agently can produce documents, live pages, diagrams, and code that can be shared by link. Users can set routines for recurring work; Jarvis recommends a schedule, model, and cost, and can skip a run when nothing has changed. The product also supports using an Anthropic or OpenAI key for runs, which the page says do not use Agently credits.
Who it is for
Agently is suited to consultants, agencies, and founders who coordinate work across multiple apps and want an assistant that can use company-specific information. It may also appeal to teams seeking a way to delegate repeatable tasks while keeping a person in control of consequential actions. Its value depends on having useful information in connected apps or uploaded documents, and on fitting its agent-based workflow into the way the organization handles approvals.
Limitations
The product page says its data and application are hosted in the United States and that an EU hosting region is not currently available. That is an important constraint for organizations with data-residency requirements. The number of apps available depends on the user’s access level, and usage of Jarvis can consume credits; using a connected model-provider key is an alternative described on the page. The page also does not provide detailed information about how well each individual connector works in every workflow, so teams may need to verify their specific use cases.
Verdict
Agently brings attention management, company knowledge, and AI task delegation together in one product. Its strongest differentiator is the combination of connected-app context with approval controls and traceable actions, rather than simply generating answers from a prompt. It is worth evaluating for teams that want an AI assistant to work across their existing tools, especially where humans should review external actions. Organizations that require EU data hosting should note that this is not currently offered.
