AI Agents · Project Management

Agents that run status, risks, and decisions — so PMs lead, not chase.

PMs spend 40% of their week synthesizing status, chasing updates, and drafting comms. Agents take that work — leaving PMs to do the part of the job they were hired for: making the call.

Three core agents

The PM stack,
reimagined as autonomous workers.

01

Status Synthesis Agent

Reads Jira, Slack, Git, and email — produces an executive-ready status that's never more than 24 hours stale.

02

Risk Surfacing Agent

Watches for risk signals across project artifacts, then drafts a risk register update with severity and recommended mitigations.

03

Decision Log Agent

Captures every decision from meetings, threads, and design docs into a queryable log — so context survives turnover.

Capabilities

Everything a PM
delegates to a deputy.

01

Auto status reports

Weekly, daily, or on-demand. Tailored per audience.

02

Stakeholder comms drafts

Personalized updates per stakeholder — drafted, you approve.

03

Slippage early warning

Cross-references velocity, blockers, dependencies. Flags slip-risk 2-3 sprints ahead.

04

Action item tracking

Pulls actions from meetings, watches them, escalates the stale ones.

05

Dependency surfacing

Finds cross-team dependencies your tools don't model explicitly.

06

Tool integrations

Jira, Asana, MS Project, Smartsheet, Linear, Notion, Confluence, Slack, Teams, Gmail.

07

Human-in-the-loop

Drafts everything. Approves nothing on its own. Until you calibrate it to do so.

08

Multi-program rollup

Portfolio-level synthesis for PMOs running 50+ concurrent initiatives.

In the field

What PM agents
ship in practice.

CASE 01

PMO, large IT services firm

Context

A PMO ran 80+ concurrent client engagements. Weekly status synthesis consumed 1.5 days per PM, and the executive view was always a week behind.

Outcome

Status synthesis agent reduced PM reporting time by 70% and pushed executive view to near-real-time. Surfaced two large at-risk engagements 4 weeks earlier than the human process would have.

CASE 02

Engineering org, captive bank

Context

Decisions made in design reviews were getting lost. Six months later, teams were re-litigating the same questions because no one knew the original rationale.

Outcome

Decision-log agent captured every architecture and product decision into a searchable index. Teams could query "why did we choose X" and get the answer with full context.

Let's build

Pick one PM workflow.
We'll show you an agent for it.

Send us your weekly status template or your last 5 risk-register updates. We'll come back with a 4-week pilot plan.