New · Agentic AI

Your project, run by a fleet of agents.

Describe what you need in plain English. Nahla's agents draft the schedule, level resources, and chase the trades — and hand you a proposal you approve, edit, or reject. Nothing is written until you say so.

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Pick an agent below, or just ask

How can I help?

Pick an agent from the menu below, or just describe what you need. Every action is a proposal you approve — nothing is applied on its own.

Auto No project

Your draft schedule appears here — as a proposal, ready for you to approve.

16-Week Home Renovation
DRAFT
19 activities · 6 phases · ~16 weeks · 4 resources
Proposed Nothing is written until you approve.
Autonomous agent · weekly, you approve

Progress Collection chases your subs — so you don't.

Every week it finds the subcontractors whose work is due, emails each one their own tasks, and turns the replies into schedule updates waiting in your inbox. You approve — nothing sends or changes on its own.

1
Drafts the chase to each sub
2
Replies become proposed updates
3
You approve in one click
See all 11 agents

Agents do the work. You approve.

Nahla works in three modes — each does one job well. Try them below.

app.nahla.ai/demo · Analyze · live
Live
Analyze Commercial Building Construction · 247 tasks · Data date 18 / 03 / 2026 6 delayed Health 87 / 100
Live Analysis

Click any question below to see how Nahla responds.

Try these questions:
Demo runs against a sample schedule. Sign up free to use your own data.
app.nahla.ai/demo · Build · sample-project
Editable
Build Commercial Building Construction · 5 sample tasks · Data date 18 / 03 / 2026 Edit Mode
Start a projectThree ways in
CodeTask NameStartDurSchedule
IM.2.1 Foundation Pour 01 May14d
IM.2.2 Steel Erection 15 May21d
IM.2.3 MEP Rough-in 05 Jun18d
IM.2.4 Drywall & Paint 23 Jun12d
IM.2.5 Finishes & Handover 05 Jul20d
AI Insights 3

Resource overallocation — "Foundation Crew" is assigned to 3 overlapping tasks (May 15 – May 28).

IM.2.1 IM.2.2 +1 more

Critical-path delay — Steel Erection (IM.2.2) has 5d negative float. Deadline at risk.

IM.2.2 Crit FS

Missing successor — MEP Rough-in (IM.2.3) has no logical successor link to Drywall.

IM.2.3 → IM.2.4 FS
Export your edits:
app.nahla.ai/demo · Diagnose · read-only
Read-only
Diagnose Sample Project — Schedule Health · Data date 17 / 10 / 2025 Read-only
14-Point DCMA Check v2.0
passed 11 / 14 · 2 warn · 1 fail
01
02
03
04
05
06
07
08
09
10
11
12
13
14
Pass Warn Fail
Dependency Flow — ASV-BI-GN-1020 Obtain Permits & NOC
FS SS Driving Critical
ASV-BI-MS-1170
Contract Commencement
17 Oct → 17 Oct · TF 0.0d
UDF-01
ASV-BI-MZ-1030
Staff & Equip Mobilization
17 Oct → 17 Oct · TF 0.0d
ADV-08
ASV-BI-GN-1090
Review Project Risk Reg.
17 Oct → 17 Oct · TF 0.0d
UDF-01
ASV-BI-GN-1010
Insurances & Bonds
17 Oct → 17 Oct · TF 0.0d
UDF-01
ASV-BI-GN-1020
Obtain Permits & NOC
17 Oct → 17 Oct · TF 0.0d
UDF-01
FS FS FS FS
Detailed Analysis

The driving predecessor for Obtain Permits & NOC is Staff & Equip Mobilization (ASV-BI-MZ-1030) — any slip there pushes the entire downstream chain.

All four predecessors share TF 0.0d and sit on the critical path. With permits constrained to a calendar lag, there is no protective float against a holiday week in late October.

Two related DCMA failures trace back to this cluster: negative float (#07) and a lag warning (#03) on FS+3d between Insurances and Permits.

Want to fix these issues? Switch to Build mode — make edits and export to Primavera P6 or MS Project.

Demo runs against a sample schedule. Sign up free to use your own data.

Proof, not promises

Sample Generated Reports

Click any report below to open a live, shared version. No upload. No login. Just proof.

Every report is customisable — edit AI commentary, add custom sections, apply your company branding, adjust tone and language for your audience.

Three ways to start Upload a file. Or build from scratch.
Primavera P6 Primavera P6
Microsoft Project Microsoft Project
Build Your Schedule
Build Your Schedule from scratch
One AI. Real engines underneath.

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, EVM, Monte Carlo. Agents propose every change; the engines compute every number — so the answer you get is the answer you can ship.

Generic LLMs (ChatGPT, Copilot…)
Hallucinates dates & logic Can't read XER / MPP No CPM / DCMA / EVM No audit trail Trains on your data
Nahla — the grounded AI
Conversational AI + an agent fleet
Describe it in plain English · 11 agents · propose → you approve
▲ ▲ ▲
Engines that power the active mode
Schedule generator Calendars Resources Baselines CPM EVM S-curves Monte Carlo Trend & compare DCMA-14 Driving path Phase analysis
Inputs:
.XER .MPP .ZIP plain English
Traditional Schedulers
Reads XER / MPP ✓ No AI on canvas DCMA & EVM as add-ons 12-week onboarding Desktop-only, single-user
Built for the whole team

Different role. Different question. Same answer engine.

From scheduler to sponsor — no expert handover, no "ask the planner first."

Trust & AI Governance

Systems first. Automation second.

AWS-hosted, AES-256 + TLS 1.3, zero AI training on your data, full audit trail with CSV export. The AI lives inside scoped tool permissions — it cannot invent fields or alter baselines.

Read full governance →