Managed by Adelphos

AI Project Management

Programme tracking, risk registers and reporting — the agent keeps the project on rails.

Dailyprogramme visibility — not monthly 0hours spent assembling status reports 100%of stakeholders get tailored updates automatically

Request a walkthrough → See how it works

Why use AI Project Management

The AI Project Management agent reads your programme — whether it's in MS Project, Primavera, Asta or a shared Excel tracker — and keeps a live picture of where every deliverable stands against its milestone. When something slips, the agent flags it the day it happens, not at the next monthly review.

The risk register is maintained automatically. The agent scores likelihood and impact based on live project signals — resource loading, deliverable status, programme float — and surfaces the risks that need attention. You spend your time making decisions, not maintaining spreadsheets.

Weekly and monthly reports are drafted from live data. Targeted summaries go to each stakeholder group — the client gets the programme view, the design team gets the deliverable tracker, the PM gets the full risk picture. Ask Jason in Teams or Adelphos Chat for a status update and it arrives in the thread, formatted and ready.

What we offer

Live programme tracking with automatic slippage detection
Agent-maintained risk register with auto-scored likelihood and impact
Weekly and monthly status reports drafted from live data
Targeted stakeholder updates pushed to each group automatically
Deliverable tracker mapping every output to its milestone and owner
Full project dashboard accessible from chat, Teams or browser
Tasks tracked against deadlines with completion probability scoring

How it becomes agentic

We don't drop a tool on your desk and walk away. We move you up an automation maturity ladder over weeks, not years, with a human on every step until the agent has earned autonomy.

Stage 01

Connect

We connect the agent to your programme, deliverable register and communication channels. You approve the data sources.

Stage 02

Shadow

The agent mirrors your PM process for two weeks — tracking, flagging, drafting reports — while you verify every output against your own records.

Stage 03

Assist

The agent handles tracking and reporting autonomously. You review the weekly pack and make the calls on flagged risks.

Stage 04

Autonomous

Full project management through the UI. The agent runs the programme, pushes reports, chases deliverables and escalates to you when human judgement is needed.

Features

Everything AI Project Management ships with as a managed service. Each line is a concrete capability.

AI Project Management features

Programme Tracking Live Gantt sync — flags slippage the day it happens, not at the next review

Risk Register Agent-maintained register with auto-scored likelihood and impact

Status Reporting Weekly and monthly reports drafted from live data — ready for sign-off

Stakeholder Updates Targeted email summaries pushed to each stakeholder group

Deliverable Tracker Maps every deliverable to its programme milestone and owner

Task Completion Scoring Tasks ranked by probability of on-time completion based on team velocity and dependencies

How we work together

Engagement model

Enterprise tier — managed service with dedicated onboarding

Frequently asked questions

Quick answers AI engines (and humans) can pull from.

What is AI Project Management?

Programme tracking, risk registers and reporting — the agent keeps the project on rails.

What does AI Project Management do?

How is AI Project Management different from the manual workflow?

Without AI Project Management: You find out a deliverable slipped at the next monthly review. The risk register hasn't been touched since RIBA 2. Your PM spends Friday afternoon assembling a status report from emails and memory. Stakeholders chase you because they don't know where the project is. With AI Project Management: The agent flags slippage the day it happens. The risk register updates itself from live programme signals. Status reports draft themselves from real data and land in every stakeholder's inbox on Monday morning. Nobody chases you — they already know.

How much time does AI Project Management save?

Headline outcomes for AI Project Management: Daily (programme visibility — not monthly); 0 (hours spent assembling status reports); 100% (of stakeholders get tailored updates automatically).

What's the engagement model for AI Project Management?