AI for Delivery & PMO
One agent runs on your projects, tasks and resources — writing the status summary, flagging the risks that threaten a deadline, and reading the resource signals that show who is overloaded. So the PMO sees trouble early and acts before a date slips.
The status update writes itself
Most of a PMO’s week goes on chasing updates and assembling status decks. The agent reads the project, its milestones, tasks and time logs, and drafts a status summary in plain language — what moved, what is blocked, what is at risk — ready to send to the sponsor.
Underneath the summary it is watching for the signals that break delivery: a milestone drifting, a task with no owner, a person booked past capacity, an SLA about to breach. Each is flagged with the record attached, and every action it takes is logged.
See the Delivery & PMO workspace →- ✓ Auto project status summaries
- ✓ Slippage & risk flags
- ✓ Resource & capacity signals
- ✓ SLA-breach risk & escalation
- ✓ Task auto-assignment
- ✓ Effort estimation
The agent’s loop for Delivery & PMO
The same Flow-Cognition Agent, running on your delivery and PMO data — grounded, governed and logged.
Sense
Reads projects, milestones, tasks, time logs, dependencies and resource load across every engagement.
Decide
Predicts what will slip, scores delivery risk, spots overload and flags SLA-breach risk — by your thresholds.
Act
Drafts the status, raises the flag, reassigns work and escalates risk — each action permission-checked and audited.
Five-tier model routing · field-level permissions · full audit trail. How the engine works →
Every project, summed up on demand
Grounded in the actual records — no one has to write the update by hand.
Draft the status
Writes a plain-language summary — progress, blockers, next milestones — from the live project data, ready to review and send.
What changed since last time
Compares against the previous update and highlights only what moved, so sponsors read the delta, not the whole plan.
Portfolio roll-up
Rolls individual project summaries into one portfolio view for the PMO, with the at-risk projects surfaced first.
See the deadline risk before it lands
The agent reads the plan against the pace and raises what threatens a date.
Slippage prediction
Predicts which milestones are likely to slip from the current pace and dependency chain, while there is still time to recover.
Blocked & stalled work
Surfaces tasks that are blocked, unowned or sitting idle, and the dependencies they are holding up downstream.
SLA-breach risk
Tracks delivery and response SLAs, flags the ones trending to breach and escalates them to the right owner on your rules.
Explainable flags — each risk shows the record and the reason. Anomaly & Risk AI →
Balance the load before people burn out
The agent reads capacity and effort so assignment and planning rest on signals, not gut feel.
Capacity & overload
Shows who is booked past capacity and who has room, so work can be rebalanced before a bottleneck forms.
Task auto-assignment
Suggests the right owner for a task by skill, load and availability — routed for a lead to confirm.
Effort estimation
Estimates effort for new work from the time your team actually logged on similar tasks, so plans are realistic.
Across the delivery org
For project managers
Status summaries and risk flags without the manual chase, so the PM leads the work instead of reporting on it.
For the PMO
A live portfolio view with the at-risk engagements surfaced, so governance is proactive, not a monthly post-mortem.
For delivery leads
Capacity and effort signals to assign and plan with confidence, and keep the team off the edge of overload.
Helpful, but under your control
Human in the loop
The agent drafts and suggests — a person confirms reassignments and sends the status, staying in control.
Field-level permissions
It reads and acts only within the permissions of the person it works for, across client and internal projects.
Logged & auditable
Every summary, flag and reassignment is written to the audit trail, under ISO 27001 controls and India data residency.
The capabilities behind it
These are the AI capabilities the delivery & PMO agent draws on.
Questions, answered
From the live project records — milestones, tasks, time logs and dependencies in the platform. The agent writes it in plain language and highlights what changed since the last update, and a person reviews it before it goes out.
It reads the plan against the current pace and dependency chain and flags milestones trending to miss. Every flag shows the record and the reason, so the PM can judge and act while there is still time.
It suggests the right owner by skill, load and availability and routes the suggestion for a lead to confirm. The reassignment only happens once a person approves, and it is logged.
Yes. It tracks delivery and response SLAs, flags the ones trending to breach and escalates at-risk items on your rules — so a breach is raised before the deadline passes, not after.
Yes. The agent works within field-level permissions, data stays in India residency under ISO 27001 controls and DPDP alignment, and every action is written to the audit trail.
Put AI to work on delivery
Start free, or get a guided walkthrough — status summaries, risk flags and resource signals on your own project data.