From exploration to refining, keep oil and gas on schedule.

Upstream and downstream uncertainty drives costly delays. Get the foresight to plan contingencies and cut risk.

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See the results
AI Mode
Oil and gas program
Auditable
Which milestones is our forecast too optimistic about?
  • Module installBig gap
  • Hook-upWatch
  • CommissioningAligned
  • Start-upAligned
Monthly QSRA assurance report sent to the client

What makes it hard

Optimism is expensive.

01

Shifting schedules

Rig timelines and production schedules move, and every change ripples downstream.

02

Supply chain dependencies

Offshore downtime and late materials turn small slips into long ones.

03

Optimism bias

Human forecasts tend to underestimate the time and resources work really needs.

Customer story

PaCE

PaCE beats human forecasts 15 to 2 with AI QSRA.

Challenge

A complex oil and gas portfolio with persistent delays from overly optimistic scheduling.

What changed

Monthly AI QSRA used historical performance to predict activity durations and flag the milestones with the widest gap.

Read the full story
15 of 17
milestones where AI beat the human forecast
15 vs 41
days of average activity forecast error, AI vs human
37%
more accurate milestone forecasts
Up to 10x
faster decisions

Built for both sides of the project

The same answers, whichever side you’re on.

Asset owners and operators

Stay in control. Stay on schedule.

  • Know more than your contractors
  • Deliver on time and on budget
  • Control scope change before it hits the timeline
For owners and operators
EPCs and Tier 1 contractors

Build smarter. Deliver with certainty.

  • Adapt to change without disrupting the work
  • Keep subcontractors and crews in sync, safely
  • Spot and remove bottlenecks early
For general contractors

The decisions oil and gas teams bring to it

Ask the question. Get the proof.

Explore Risk and forecasting
Risk and forecastingAuditable
Which risks are about to hit, and what do we do first?
  • P50 and P80 completion dates
  • Top risk drivers
  • Mitigations ranked by impact

More proof

Decisions that paid off.

All customer stories
PaCE
15 of 17
milestones forecast better by AI than by people
Read the story
Oil and gas owner
89%
of hours earned, as reported
Read the story
Mining owner
50
activities slipped since the last update
Read the story

One-pager

Take it to your next steering group.

Nodes & Links for oil and gas: the results, the decisions it answers and how teams get started, on one page.

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FAQ

Questions, answered.

Questions from oil and gas teams.

Talk to our team

Yes. It connects to Oracle Primavera Cloud, Primavera P6 and Microsoft Project, reads documents from Aconex, Procore, Autodesk and Trimble, and takes anything else by API or upload.

AI QSRA learns from how work on your project has actually performed, so forecasts reflect real progress rather than hopeful durations. On PaCE’s projects it beat human forecasts on 15 of 17 milestones.

Yes. Customer data is never used to train AI or LLM models, and each customer’s data stays in its own environment.