Learn
Construction data, reporting, and AI, explained by people who ship it.
Guides you can use whether or not you ever hire us, plus deep breakdowns of real builds: every page, metric, and design decision.
- 01
Understand
Start with the guides: what MCP is, how WIP reporting works, what good data quality looks like.
Read the guides - 02
See it working
Watch real builds, with full transcripts, chapters, and the reasoning behind each design choice.
Watch the builds - 03
Check the fit
See how we work, how we handle access and security, and what we build for your role.
Our approach - 04
Talk it through
Tell us the outcome you need. We reply within two business days with an honest take.
Tell us what to build
Guides & playbooks
Build breakdowns: Reporting & analytics
All reporting & analytics
Reporting & analytics · October 8, 2026
Construction Project Reporting: Solution Showcase
Two Power BI reports—22 pages and ~180 measures—that replaced a general contractor's hand-filled monthly progress and QA/QC workbooks. Computed nightly from Procore, Sage 100, Outbuild, and SharePoint, and published only after ~200 data-quality rules pass.

Reporting & analytics · October 8, 2026
Construction Data Quality: The Rules That Make Reports Trustworthy
A practical checklist of the data-quality rules behind construction reports people can defend, from quality gates and blank-never-zero to cost-code crosswalks, reconciliation and snapshots.

Reporting & analytics · October 8, 2026
Microsoft Fabric for Contractors: A Lakehouse Guide
A practical guide to Microsoft Fabric for construction: the medallion lakehouse, notebooks, Direct Lake models, quality gates, the SQL endpoint, cost considerations, and when Fabric is the wrong choice.

Reporting & analytics · October 7, 2026
Procore, QuickBooks & HubSpot Reporting Example
A 10-page Financial Operating System in Power BI that gives owners and controllers one view of contracts, WIP, cost, cash, pipeline, and labor—joined across Procore, QuickBooks Online, and HubSpot.

Reporting & analytics · October 7, 2026
How We Built Construction Reporting in Microsoft Fabric
The engineering behind a nightly Procore + Sage + Outbuild reporting platform in Microsoft Fabric: medallion lakehouse, cost-code mapping, a quality gate, and building it with Claude and MCP servers.

Reporting & analytics · August 3, 2026
Rebuilding a Construction Monthly Report: Procore to Power BI
We replaced an 11-tab, 700-input-cell Excel workbook with an automated Procore, Sage and Fabric pipeline feeding 12 Power BI pages, and found two hidden scorecard bugs on the way.
Build breakdowns: AI agents & MCP
All ai agents & mcp
AI agents & MCP · October 9, 2026
n8n MCP Server Tutorial: Expose and Use MCP Tools in n8n
A step-by-step guide to MCP in n8n: turning workflows into MCP tools for Claude and Cursor, giving n8n agents tools from external MCP servers, and securing both.

AI agents & MCP · October 8, 2026
Governing AI Agents in Construction: A Checklist for IT and Leadership
A practical checklist for putting AI agents into construction systems safely, covering credentials, least privilege, read-first rollout, tool routing, telemetry, evaluation and human approval, drawn from our own builds.

AI agents & MCP · October 8, 2026
What Is MCP? A Practical Guide for Construction Teams
A plain-language guide to the Model Context Protocol for contractors: what MCP servers and gateways do, why large APIs like Procore and P6 need tool routing, and how to start safely.

AI agents & MCP · May 10, 2026
Routing 2,755 Procore API Tools Through MCP Without Drowning the Model
A walkthrough of the Procore MCP server architecture: generated tools for every endpoint, router-mode meta-tools, hybrid retrieval, and a single dispatch chokepoint for safety and audit.

AI agents & MCP · April 29, 2026
MCP Gateway with Telemetry: How Tool Runtime Governs Agent Tools
Tool Runtime pulls many MCP servers into one governed endpoint. Here is how the gateway composes tools per API key, logs every call, and why production agents need this layer.

AI agents & MCP · January 16, 2026
Building AI Agents for Construction with MCP Tools and Procore
A walkthrough of Construct.Chat: building a Procore financials agent with MCP tools, auditing every tool call, and the structure of a 735-tool Procore MCP server.
Build breakdowns: Integrations
All integrations
Integrations · October 8, 2026
Procore API Integration Guide: Patterns, Crosswalks and Governance
A practical guide to connecting Procore with accounting, scheduling, BI and CRM systems: which pattern to use, how to link projects across systems, and how to keep the numbers trustworthy.

Integrations · August 18, 2026
How We Joined Procore, QuickBooks and HubSpot in Microsoft Fabric
A build walkthrough of the pipeline that joins Procore projects, QuickBooks jobs and HubSpot deals in Microsoft Fabric, including the crosswalk that refuses to guess and the gate that stops wrong numbers.

Integrations · January 21, 2026
Procore + P6 Analytics in Power BI via Azure and Cosmos DB
How we synced Procore RFIs into Azure Cosmos DB with Function Apps, parsed P6 XER schedules in Power Query, and combined both in a Power BI report that refreshes itself.
Build breakdowns: Scheduling & P6
All scheduling & p6
Scheduling & P6 · October 8, 2026
AI for CPM Scheduling and Primavera P6: What Works Today
A practical guide to where AI helps CPM schedulers today, from evidence-backed drafts and XER health checks to governed P6 access over MCP, and how to pilot it without risking a live schedule.

Scheduling & P6 · October 8, 2026
How Specialized AI Agents Standardize CPM Scheduling
A walkthrough of Connect, the agentic platform we built on Syncify, where one agent per step turns drawings, specs and client answers into validated, versioned CPM schedules.

Scheduling & P6 · May 25, 2026
Building an MCP Server for Oracle Primavera P6
A walkthrough of P6 MCP: a governed MCP server that turns 585 Primavera P6 REST operations into a small discovery, planning, and execution surface, plus offline XER analysis.
Build breakdowns: Playbooks
All playbooksNext step
Rather talk it through?
If you already know the problem, skip the reading. Tell us the outcome and we'll come back with how we'd approach it.
