For project planners, project controls & PMs · P6 & MS Project

Your project’s AI team. They propose, you approve.

Secured data Accessed only with your permission

Every result arrives as a proposal. Nothing is sent or changed until you approve.

P6 & MS Project Hosted on AWS Sydney Never used to train AI Aligned with the PMI AI Guide
The approval loop

Agents prepare. You decide.

Every agent ends in a proposal you can read: the source, quoted, and exactly what would change. Approve it, edit the values first, or reject it. Until you do, nothing in the programme moves and nothing is sent.

Progress Collection Proposal
S&.2.1 Structural Steel Erection
Reply from the steel subcontractor“80% erected. Crane was stood down two days for wind, we'll finish 3 days late.”
Progress60% → 80% Forecast finish27 Mar → 30 Mar 2026
✓ Programme updated
✓ Critical path recalculated
✓ Decision recorded · approved by you
✕ Rejected
— Programme untouched. Nothing was sent.

Try it. Press either button.

A week with Nahla

Five agents do the legwork. You make every call.

Switch them on per project. Each works on its own cadence and drafts into your inbox. None of them sends or changes anything on its own.

Monday
Look-ahead

Drafts a question to each trade starting work in the next two weeks: what is in the way?

You: approve the asks. Then they go.
Tuesday
Progress Collection

Drafts a progress chase to each subcontractor whose work is due.

You: approve the chase. Then it goes.
Wednesday
Progress Collection

Turns the replies into proposed updates, quoting each trade's own words.

You: approve, edit or reject each one.
Thursday
Deadline Monitor

Flags a date slipping into negative float. Delay & Forensic drafts the recovery options.

You: pick a recovery, or none.
Friday
Weekly Report

Drafts the client report and flags stale or inconsistent updates before you share it.

You: edit the tone, then share.
See all 5 agents in detail →
The file

From a P6 file to a live workspace.

The Nahla workspace: a schedule with WBS, Gantt, baseline and CPM tools
The real workspace · sample schedule · data date 2 Sep 2026
  • 01Drop a Primavera P6 .XER or Microsoft Project .MPP.
  • 02Or describe the job. An agent drafts the programme for you to approve.
  • 03Export P6- and MSP-ready files and shareable reports.
Where it fits

Not a chatbot. Not a desktop scheduler.

Keep your scheduling tool. Nahla works on its file and hands the result back.

General AI chatScheduling softwareNahla
Reads .XER / .MPPPartly: .XER as raw text, not .MPPYesYes, both
Does the weekly legworkNoNo, the planner doesFive agents
Where the numbers come fromA language model's estimateBuilt-in calculationsGovernance rules
CPM, DCMA-14, Monte CarloNoCPM built in, the rest added onAll built in
Who changes the programme—You, by handYou, by approving a proposal
Governance rules underneath

The agent asks. The rules answer.

Language models are good at understanding the question and bad at arithmetic across thousands of activities. So the agents never work out a date themselves. They apply governance rules, such as the critical path method and DCMA-14, and that answer is the one you see.

CPM

When do we finish, and what is driving it?

Time impact

What does this delay do to completion?

DCMA-14

Is this schedule fit to report from?

Resource levelling

Can the crews we have actually do this?

Revision diff

What changed since the last update?

Progress verification

Does the reported progress add up?

Baseline comparison

How far are we from the baseline?

Monte Carlo

What range of finish dates is realistic?

Same file, same number, every time.
See the output

Open a report. No login.

Generated by Nahla from a sample schedule.

Everyone on the project

Same crew. Different question.

Planner

“Score this schedule and draft an email to my PM.”

Project controls

“What changed on the critical path since the last update?”

Project manager

“Turn this update into a status note.”

Sponsor

“Is handover at risk?”

Security

Your file stays in your workspace.

The agents work only through a fixed list of tools. Enterprise customers can have their data hosted in their own country on request.

Aligned with the PMI AI Guide

HOSTINGAWS Sydney
ENCRYPTIONAES-256 at rest · TLS 1.3 in transit
YOUR DATANever used to train AI models
CONTROLEvery change waits for your approval
Before you book

Questions buyers ask.

Does Nahla connect to our P6 database?

No. You upload an exported .XER or .MPP. Nahla never writes to P6 or MS Project; results come back as P6- and MSP-ready files that you import when you choose to.

Do we have to change how we schedule?

No. Keep your scheduling tool and your process. Nahla works on the file you already produce each update.

Can an agent email a subcontractor or change the programme without us?

No. Every chase and every change is a proposal. Nothing is sent and nothing in the programme moves until someone on your team approves it.

Where is our data, and is it used to train AI?

It is hosted on AWS in Sydney, encrypted at rest and in transit, and never used to train AI models. Enterprise customers can have it hosted in their own country on request.

Do the agents work out the dates themselves?

No. Dates, float and scores are calculated by governance rules (CPM, time impact, DCMA-14 and others). The agents apply the rules and report the answer.

What does it cost?

There are Contractor and Enterprise plans. We quote after a demo on your own programme, so the price reflects how you will use it.

Put the crew on your programme.

Bring a P6 or MSP file, or a one-line brief.

  1. 1Book a demo

    We look at your programme with you.

  2. 2Load your schedule

    We set the workspace up on your own file.

  3. 3Switch on the crew

    Turn on the agents you want, per project.