Most AEC software rollouts fail not because the tool was bad — but because the team wasn't ready. Successful technology adoption starts with clear communication, clean processes, and training that fits real project delivery. Learn how to implement new software in your AEC firm without losing momentum or investment.

AEC firms don't need more software—they need smarter questions. Arvaya connects people, process & technology into one intelligent workflow.

Learn how AI reduces cognitive overload for project managers — summarizing, connecting dots, and restoring big-picture thinking when it matters most.

Project managers in the AEC industry are turning to ChatGPT to streamline workflows and reduce admin time. From drafting RFI responses to generating project timelines, here are 5 high-impact ChatGPT prompts every AEC project manager should be using.

AI in AEC Is Overhyped — But the Firms Using It Right Are Pulling Ahead Fast Every architecture, engineering, and construction firm is hearing the same thing right now: AI is changing everything. But beneath the buzzwords and conference hype, a more important reality is emerging — the firms actually winning with AI aren’t replacing people, they’re eliminating wasted time. From real-time project visibility and automated proposal generation to smarter CRM systems and faster r

Arvaya welcomes six new team members across cybersecurity, data engineering, software development, AI, and operations — a look at the people driving our next chapter of growth in Charleston, SC.

Every AEC firm has tools they pay for but barely use. AI can become the same thing without the right workflows, training, and support. Arvaya helps architecture, engineering, and construction firms turn AI from another unused platform into a working part of daily operations, improving project visibility, documentation, reporting, and team adoption.

Is your construction firm ready for AI automation? In 2026, firms that fail to adopt AI risk losing contracts to competitors who deliver faster and more efficiently. This guide walks through five clear signs your firm is already positioned to automate workflows, cut admin overhead, and win more bids — without overhauli

BST Global's 2026 AI + Data Insights Report reveals a stark readiness gap across the architecture, engineering, and construction industry: only 22% of firms feel highly prepared for AI integration, and just 38% believe their AI efforts are aligned to actual business goals. For AEC firms and government contractors, that gap isn't just a statistic — it's a competitive opening.

Arvaya partnered with Charleston County for hands-on Microsoft Copilot training. See how we help government teams use AI in their everyday work.

Every AEC firm has a version of the same story. Timesheets from one system, expenses from another, invoices built line by line — and a project manager losing half a day every single month just to get a bill out the door. The time is the obvious cost. But late invoices hurt cash flow, errors erode client trust, and PMs burn out on paperwork they weren't hired to do. The firms that have fixed this didn't work harder. They stopped asking their people to do something a system sho

AEC firms lose 6–10 hours per pursuit to coordination, reformatting, and chasing content — none of it touching proposal quality. And most don't realize it until they've already lost the shortlist. Here's what's actually happening inside your BD process.

We've implemented monday.com inside AEC firms of all sizes. Here's our honest take — where it genuinely earns its reputation and what a properly configured build actually looks like.

Your AI is working—but your business isn’t. Discover why most AI projects fail to deliver ROI and what actually drives measurable results.

Accelerating proposal timelines is no longer a competitive advantage—it’s a necessity for GovCon teams looking to win more work without increasing headcount. By implementing AI-powered proposal workflows, organizations can reduce turnaround times from 4–6 weeks to just 7–10 days while improving quality and consistency. Instead of starting from scratch, teams can automatically generate drafts using past performance, resumes, and project data, eliminating bottlenecks and manual