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R

Rize

PM
Velocity7.5

Rize stops being a time tracker you query and becomes one that runs on a schedule without you.

agent-toolsetscheduled-automationmcptime-trackingprofitability-reporting
◆Current state
The August drop lands as one roll-up plus six component entries published together: an Agent tab for live conversation over your Rize data with follow-up actions, Routines that run scheduled prompts and open follow-ups from context, AI Reports that turn prompts and templates into recurring analysis for client profitability and team overviews, Shared AI Skills as reusable saved prompts scoped personal, team or workspace, Agent Context with custom tagging instructions so the agent learns how a team labels clients and projects, and API/MCP surfaces exposing report runs, routine runs, Skills and agent context. Days earlier, v3.0.45 shipped My Timesheet and Team Timesheets with click-and-drag entry editing.
◆Where it's heading
Rize sparked twice this spring on chatting with your time data over MCP; this release is the step from asking to delegating. Routines and scheduled AI Reports mean the analysis happens whether or not anyone opens the app, and Shared Skills plus Agent Context turn one person's prompt into team infrastructure. Exposing routine and report runs through the API and MCP makes the agent layer callable from outside, which is what turns a feature into a platform surface.
◆Prediction
Expect Routines to gain triggers beyond a schedule — a budget threshold crossed, unlogged time detected — and the timesheet work to be pulled into agent review flows. Invoicing sparked earlier this month, so billing is the obvious destination for a routine that finds unbilled time on its own.

◆Recent moves

  1. 1d ago

    AI Reports

    AI Reports make prompts, templates and shared Skills into scheduled, reusable analysis for client profitability and team overviews. One of the components of the Agent Toolset release rather than a separate move.

  2. 1d ago

    New Chat and Agent

    The new Agent tab consolidates chat over Rize data, richer analysis and follow-up actions into one live conversation. It extends the MCP chat capability sparked in the spring rather than replacing it.

  3. 1d ago

    August Update: Introducing the Rize Agent Toolset

    ⚡ SPARK

    The roll-up for the August release, bundling the Agent tab, Routines, AI Reports, Shared Skills, Agent Context and the API/MCP work. Read together, these move Rize from a conversational interface over time data to one that acts on a schedule.

  4. 1d ago

    API/MCP Improvements

    The API and MCP surfaces now expose report runs, routine runs, Skills and agent context, so the new agent layer is callable from outside the app. This is what turns the Agent Toolset from a feature into an integration point.

  5. 1d ago

    Agent Context and Custom Tagging Instructions

    Agent Context and custom tagging instructions let a team teach Rize how it labels clients, projects and tasks and how summaries should read. The memory layer that makes the rest of the toolset produce usable output.

  6. 1d ago

    Shared AI Skills

    Shared AI Skills are saved prompts scoped to a person, team or workspace and reusable across chat, Routines and AI Reports. The mechanism that spreads one analyst's work across a team.