AI agents propose. You approve.
Nahla's agents draft your schedule, chase the trades, and flag risk — every number from a real engine. Nothing changes until you approve it, and your project data stays private and secure.
From a P6 file to a live, agent-driven workspace.
See all 5 agents ↓Five agents that run your week.
Turn them on per project. They work on a cadence and draft into your inbox, and never send or change anything on their own. Progress Collection is live today; the rest are rolling out.
● LIVE TODAY
Chases each subcontractor as their work comes due, then turns their replies into proposed schedule updates in your inbox.
ROLLING OUT
Drafts your client report on the day you choose, pulling the week's progress and flagging stale or inconsistent updates before you share.
ROLLING OUT
Flags slippage and at-risk dates the moment they emerge, before they cost you time or money.
ROLLING OUT
A rolling look-ahead of the work coming due over the next weeks, so nothing sneaks up on you or the trades.
ROLLING OUT
Finds the delay driver against your baseline and drafts recovery options and a claim-ready EOT narrative, grounded in the schedule, with gaps flagged.
Ask Nahla anything else.
Beyond the five agents, these run on demand. Ask in plain English and the right capability answers, drafts, or simulates, then hands you a proposal to approve, edit, or reject.
A brief becomes a full draft programme, WBS, logic, resources.
Charts, S-curves and schedule health, on demand.
A DCMA 14-point quality check with the offending tasks.
Monte Carlo: P10 to P90 finish dates and the probability of hitting your target.
Projects your finish date from SPI at the current rate of progress.
Simulate a change and see the impact before committing it.
A claim-ready EOT / delay narrative grounded in your baseline, gaps flagged.
Within-float moves that smooth labour peaks, your finish holds.
Not just another chatbot.
Generic LLMs hallucinate. Traditional schedulers don't think. Nahla is the only AI built on real project-controls engines, CPM, DCMA-14, Monte Carlo. Agents propose every change; the engines compute every number, so the answer you get is the answer you can ship.
Sample generated reports.
Click any report to open a live, shared version, no upload, no login. Just proof.
Different role. Different question. Same answer engine.
From scheduler to sponsor, no expert handover, no "ask the planner first."
"Summarize the schedule quality, verify it against the baseline, and prepare a summary email I can send to my project manager."
"Since the last update, what changes have driven the biggest delays, especially on or near the critical path?"
"Turn this schedule update into a concise status summary that explains progress, delays, and the key decisions we need to make."
"Are there any major slips that are putting the project delivery date at risk?"
Systems first. Automation second.
AWS-hosted, AES-256 + TLS 1.3, zero AI training on your data, with full XER, CSV and PDF export. The AI lives inside scoped tool permissions, it cannot invent fields or alter baselines.
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