Wrench AI Deep Search

Ask your project.
See the risk.
Act sooner.

Turn capital-project data into clear answers, visual insight, focused watchlists, and timely alerts—using the language your project teams already speak.

Natural-language analysis Project-grounded answers Human-led decisions
Wrench AI Deep Search interface showing an AI analysis answer, a progress-by-workfront chart and smart alerts
FROM DATA → TO CONTEXT→ TO ATTENTION → TO ACTION

THE MANAGEMENT GAP

Capital projects have plenty of data.
Decision-makers need clarity.

Progress information is often distributed across systems, reports, spreadsheets, and meetings. By the time an exception reaches the right stakeholder, the window for low-cost intervention may already be closing.

01

Answers take too long

Teams depend on specialists to extract, reconcile, and interpret project information.

02

Reports describe the past

Periodic reporting captures status but can miss the developing signals between cycles.

03

Attention is fragmented

Critical items compete with hundreds of records, making consistent follow-through difficult.

WHAT WRENCH AI DEEP SEARCH DOES

One conversation.
A faster route to the signal.

Deep Search helps project teams move beyond static dashboards. Ask, examine, visualize, monitor, and refine—all within a connected flow.

01

Ask in natural language

Use straightforward project questions instead of building another report or searching multiple screens.

02

Analyse live project records

Turn workfront and work-order data into a concise, contextual answer grounded in the project record.

03

Visualize the answer

Move from rows of data to clear progress comparisons that make attention areas easier to see.

04

Create focused watchlists

Keep priority packages and work orders in view as their status, due dates, and progress change.

05

Trigger smart alerts

Define a variance threshold and receive a visible alert when the progress gap crosses it.

06

Continue the investigation

Ask follow-up questions about the same records—for example, which item is most at risk.

HOW IT WORKS

From a project question
to a managed exception.

A simple workflow that fits the way project professionals investigate performance and decide where to intervene.

01

Ask

Start with a practical question such as “Show me key workfronts.”

02

Understand

Receive a concise interpretation with the supporting project records.

03

Focus

Visualize the result and add priority items to a watchlist.

04

Act

Use AI insight and threshold alerts to guide timely follow-up.

FROM ANALYSIS TO ATTENTION

Keep the work that matters
in clear view.

Watchlists bring selected project records into a focused workspace. Current values sit alongside prior values, due dates, ownership, AI interpretation, and alert conditions.

  • ✓ Monitor priority records without rebuilding reports
  • ✓ See positive and negative progress movement
  • ✓ Define the variance that should trigger attention
CONTROL TOWER ACTIONPrioritized intervention card
HIGH PRIORITY

Chase SCM vendor for missing interface data

A dependency that may affect engineering progress and downstream schedule readiness.

FUNCTIONEngineering
ACCOUNTABILITYOwner + due date
CONTEXTDelay + schedule reference
RECOMMENDED ACTION

Issue a formal data request with a defined response deadline; escalate through procurement where leverage is required.

VIEW CONTEXTEMAIL OWNER

VALUE ACROSS THE PROJECT ORGANISATION

Shared intelligence.
Role-specific value.

The same trusted project record can support different decisions—from portfolio oversight to daily workfront coordination.

Aerial view of a capital project site at dusk, with three work areas marked out for leadership attentionFOR OWNERS & EXECUTIVES

A clearer line of sight across the project

See the workfronts and work orders that need management attention without waiting for the next reporting cycle.

  • Earlier visibility of material drift
  • More focused governance conversations
  • Clearer ownership of intervention
Construction site at night where signals from several work fronts converge into a single coordinated point FOR PROJECT CONTROLS

Move from reporting variance to managing it

Interrogate current progress in natural language, visualize the answer, and watch the records that matter most.

  • Faster progress interrogation
  • Plan-versus-actual context
  • Configurable exception thresholds
Steel frame under construction with a schedule overlay tracing the critical path through the build sequence FOR CONSTRUCTION TEAMS

Keep attention on executable work

Understand workfront availability, compare package progress, and surface constraints before they disrupt field priorities.

  • Workfront readiness at a glance
  • Priority work-order tracking
  • Less time assembling status updates
Two site engineers in hard hats and hi-vis vests reviewing the next work item together on a tablet at dusk FOR EPC & PMC LEADERS

One concise view for coordinated action

Give delivery teams a shared, data-grounded view of progress, responsibility, due dates, and developing risk.

  • Aligned owner–contractor conversations
  • Accountable follow-through
  • Scalable oversight across packages

BUILT FOR PROJECT DECISIONS

AI insight with project context
and people in authority.

Grounded in project data

Answers are produced from the connected project record—not a generic internet response.

Current, not static

Watchlists and insights reflect changing project values so stakeholders can follow movement.

Focused and traceable

Supporting records remain visible alongside the interpretation for practical review.

Human-led action

AI helps teams find the signal; accountable project professionals decide what happens next.

Interested in exploring Wrench AI Agents

START WITH A REAL PROJECT QUESTION

What would you ask your project today?

Bring one reporting challenge, one set of priority records, and one question your team needs answered faster. We’ll show you how Wrench AI Deep Search can support the decision.

Book a Demo