Agent-Native Coordination

The AI agent that
coordinates your team

Stop spending hours on routing, monitoring, and chasing updates. Jovis handles coordination work autonomously so your team can focus on what actually matters.

Get early access See how it works
5+ hrs saved per engineer
per week
Zero manual triage
needed
24/7 proactive
monitoring

Integrates with your stack

The Problem

Teams spend too much time
coordinating work

The real work gets buried under coordination overhead

Someone manually triages every bug report to figure out who should own it

Managers discover blocked tasks only when someone escalates

Engineers wait for answers from people who don't know they're waiting

Two teams build overlapping solutions without realizing until it's too late

Current tools don't solve this. They're databases with dashboards. Humans still do all the routing, monitoring, chasing, and connecting.

The Solution

An AI agent that does
the coordination itself

Not an assistant that helps you use a tool. An agent that actually routes work, monitors progress, spots blockers, connects related efforts, and nudges people before things fall through the cracks.

"A chief of staff for your engineering team that never sleeps, never forgets, and scales across every project."
A chief of staff for your engineering team that never sleeps
Capabilities

What Jovis does for you

Intelligent Work Routing

Work enters from any source - email, Slack, form, API. The agent classifies urgency, identifies the right owner based on context (not static rules), decomposes into subtasks if needed, and sets realistic timelines from learned patterns.

  • Auto-classifies priority and type
  • Routes to the right person based on code ownership
  • Considers current workload balance
Learn more →
Show the agent suggesting an assignee with reasoning

Proactive Blocker Detection

The agent monitors for blockers before they become critical. It detects stalled work, investigates why, flags overcommitted teams, and escalates when human judgment is needed.

  • Flags tasks stalled for 48+ hours
  • Identifies unresolved blockers in comments
  • Proactively pings owners before deadlines
Learn more →
Show automated notifications about stalled tasks

Dependency Detection

As work progresses, the agent identifies cross-team dependencies, creates coordination tasks automatically, tracks blockers, and nudges owners before items hit the critical path.

  • Auto-links related tasks across teams
  • Surfaces blocked dependency chains
  • Connects overlapping workstreams early
Learn more →
Dependency Graph View Show visual dependency chain with blocking indicators
How It Works

From manual coordination to
agent-native workflow

Traditional Flow

1 Human creates ticket
↓
2 Human assigns
↓
3 Human follows up
↓
4 Human closes

Agent-Native Flow

1 Human describes intent
↓
2 Agent decomposes, routes, monitors
↓
3 Humans execute
↓
4 Agent verifies, documents, learns

Quick Setup

Connect your existing tools - GitHub, Slack, Jira - and the agent learns your team's structure, ownership, and patterns. Gets better the longer you use it.

Differentiation

Why Jovis is different

Traditional Tools AI-Augmented Tools Jovis
Coordination Humans coordinate AI helps humans coordinate faster AI coordinates, humans execute
Workflows Static workflows Workflows with AI shortcuts Dynamic, learned workflows
Monitoring Reactive Reactive with suggestions Proactive monitoring
Approach Tool-centric Tool-centric with AI help Intent-centric
Proactive Intelligence

An AI that messages you first

See what agent-initiated coordination looks like

"I noticed you and @mike are both working on authentication changes. Want me to set up a sync?"

"TR-112 has been blocked for 24 hours. I pinged @devops in Slack - they said they'll look at it today."

"Your sprint ends in 2 days. 4 tasks are still in progress. Want me to roll them to next sprint?"

What Teams Say

Loved by engineering teams

"We used to spend our Monday standups just figuring out who was blocked and why. Now Jovis surfaces all that before we even meet. My team recovered 6 hours a week that was pure coordination overhead."

Sarah Rodriguez VP of Engineering, Stackwise

"The blocker detection alone paid for itself. Last month, Jovis caught a dependency issue between two teams 3 days before it would have derailed our release. That kind of visibility was impossible before."

Marcus Kim CTO, Relay Labs

"Bug triage used to eat 2 hours of my day. Now incoming issues get routed to the right engineer automatically based on code ownership. I actually get to write code again instead of playing traffic cop."

Aisha Patel Engineering Manager, Finch
FAQ

Common questions

Their AI features help you write better descriptions or summarize threads, but the model stays the same: humans coordinate, tools store. Jovis actually does the coordination - routing, monitoring, nudging, dependency tracking - the stuff that currently lives in your head, your Slack DMs, and your Monday morning syncs.

You control it. Low-priority items can be handled without human approval. High-priority actions require confirmation. The threshold is configurable, and you can see the agent's reasoning for every decision.

The agent learns from corrections. Reassign a task it routed incorrectly, and it updates its model. Override a priority classification, and it calibrates. The system is designed to get better the longer you use it.

GitHub, Slack, Jira, Linear, and more. The agent needs context to work well, so we connect to your existing tools and learn your team's structure, ownership, and patterns.

Initial connection takes minutes. The agent then takes a couple of weeks to calibrate and learn your team's patterns. After that, it gets better the longer you use it.

Try it on one workflow

Incident management works well - high urgency, clear before-and-after. Run it for two sprints. Measure how much time your team gets back.

If it doesn't save at least 5 hours per engineer per week, walk away.

No credit card required. We'll reach out when a spot opens.