Builder Analytics AI Agent

Drillthrough: The AI agent that helps builders make better job decisions.

Connect construction software data, ask questions in natural language, and get back grounded answers with inline charts for cost, schedule, and vendor performance.

AI workspace
BuildTopiaProcorePurchasing

Latest prompt

Which vendors are causing the most delays across active communities this month?

Cross-checking superintendent updates, vendor logs, and purchase release timing.

Answer summary

Delay exposure is concentrated in two vendor groups

Window packages are creating the most schedule slip across three communities.
Framing partners show repeat misses after approval handoffs and late material release.

Communities with highest delay risk

Canyon Ridge12 days
Oak Hollow9 days
Mesa Pointe7 days

Priority

3 jobs need action

Start with window packages and framing handoffs this week.

About

Built for the way homebuilders actually operate

Residential construction teams run on fragmented cost, schedule, and field data. Drillthrough gives operators and executives a faster way to see what is happening across jobs without waiting on manual reporting.

Why teams feel the pressure

Builders do not have an insight problem. They have a coordination problem.

Tighter margins, slower labor cycles, and more scrutiny from leadership mean teams need answers sooner than the monthly reporting cadence can deliver.

Most builders already have the right data, but it lives across project management, accounting, purchasing, and field workflows. Drillthrough turns that operational sprawl into a question-and-answer experience leadership can use directly.

Faster answers for leadership
Shared context across finance and field teams
Less spreadsheet stitching
Project managementAccountingPurchasingField workflows
01

Margin leakage is hard to spot early

Builders often discover overruns after a monthly review, not while field teams still have time to correct the job.

Operational impact

Corrections arrive after the best recovery window has passed.

02

Schedules break across trades and vendors

Delays compound when superintendent notes, purchase data, and vendor performance live in separate systems.

Operational impact

Small misses compound into visible cycle-time drag.

03

Reporting still depends on analysts

Operations leaders need answers quickly, but most teams still wait on someone to export, join, and explain the data.

Operational impact

Decision velocity drops when every answer starts as a data request.

Solutions

An analytics layer for the questions builders ask every day

Give every operator a direct line into the decisions that matter most for job health, cash flow, and delivery predictability.

Cost control that stays current

Surface the projects, trades, and phases driving change orders, rework, and budget variance before they become quarter-end surprises.

Vendor and trade performance visibility

See which partners repeatedly miss dates, create downstream delays, or add avoidable cost to active communities.

Answers in plain English

Project executives, finance teams, and operations leaders can ask questions directly without learning BI tools or writing reports.

Private by default

Give teams a secure analytics layer for operational data without turning every question into a spreadsheet handoff.

Sample prompts

Ask the same questions your operating reviews already depend on.

Instead of stitching spreadsheets together, leaders can move straight from question to explanation to action.

Which projects have the highest change order costs?
Which vendors cause the most delays?
What trades drive the most cost overruns?
Which phase of construction takes the longest?
Which projects exceed budget most often?
Where are cycle times stretching across communities this month?

Workflow

From disconnected data to an answer your team can use

The product is designed to reduce time-to-answer for non-technical teams while preserving the context needed to trust what the AI returns.

01

Connect operational data

Bring together job cost, schedules, change orders, vendor logs, and field updates from the systems your team already uses.

02

Ask natural language questions

Type the question you would normally send to an analyst or controller and get an answer grounded in your own project data.

03

Act on charts and explanations

Review inline charts, understand the drivers behind a result, and move directly into job-level follow-up with your team.

Pricing

Roll out at the pace your operation can absorb

Most builders start with a focused operational use case, then expand once teams see how quickly they can get reliable answers.

Pilot

For emerging builders validating one workflow

Launch with a focused dataset, a small leadership group, and a clear operating question such as change order control or vendor performance.

Start a pilot

Operations

Most common

For regional teams managing multiple active jobs

Expand access across construction, finance, and executive stakeholders with shared dashboards, guided prompts, and broader reporting coverage.

Talk to sales

Enterprise

For large builders with portfolio-level governance

Support complex data environments, security review, and multi-market rollouts where AI answers need to align with internal controls.

Design your rollout

Resources

Practical material for teams evaluating AI in construction

Use these starting points to align finance, operations, and field leaders around what AI analytics should improve first.

Executive briefing

How residential builders are using AI to compress reporting cycles and find margin issues earlier.

Request access

Operations playbook

Questions construction leaders should ask weekly about cycle time, trade performance, and budget drift.

Request access

Implementation guide

A practical rollout sequence for connecting project data, aligning stakeholders, and getting to first insight fast.

Request access
Start with the questions already slowing your team down

Give your builders a faster path from raw project data to confident action.

Launch with a real operating question, connect the data behind it, and let Drillthrough turn reporting friction into day-to-day decision support.