Insights

What Deltek Dela does for RFP and SOQ responses in Vantagepoint as of October 2026: what has shipped, what is only on the roadmap, and what to ask your rep.

How engineering firms keep project knowledge findable when senior engineers retire: sourced workforce numbers, a 12-month checklist and a test.

Corpus vs Nomic for engineering firms: per-seat vs flat pricing, where each runs, connectors and security, with Nomic facts from its own pages (October 2026).

OpenAsset is an AEC DAM and proposal platform. Corpus searches your project files with page citations. When each fits, and how to test both on one RFQ.

Unanet ProposalAI drafts from approved proposal content. Corpus drafts from project files with page citations. When each fits, and how to test both.

Flowcase, formerly CV Partner, manages resumes and project references. Corpus cites the project files behind them. When each fits, and how to test both.

Kantiv, formerly Joist AI, is a pursuit platform for AEC marketers. Corpus gives page-cited answers from project files. When each fits, and how to test both.

SOQDraft scores RFQs and drafts SOQs from an imported project list. Corpus cites pages in your project files. When each fits, and how to test both.

We spend days digging through old project folders for past projects and résumés for every SOQ. Here is what firms use instead, and how each option works.

How to search old project folders, network drives and scanned drawings in plain words, and get the document and page back so you can check it.

AI document search for civil engineering firms that answers from the project archive and cites the page behind each claim. What to look for and how to test it.

How engineering firms decide go/no-go on an RFQ faster: a written scorecard, facts from past projects with citations, and judgement calls kept with people.

How to find who worked on which past project when you pick key staff for an SOQ: résumés, the staff roster and project records, with sources you can check.

How to reuse past fee estimates and past contract amounts to build a new engineering fee, with the math done by code and every rate traced to its source.

What to check when a RAG system refuses an answer it should give: rank fusion, vector recall, truncated passages, missing pages, chunk boundaries.

When AI search returns a sealed report to a conflicted partner, that's a liability event. How SharePoint permission inheritance breaks for civil engineering firms.

Honest review of Deltek Dela for civil engineering firms in 2026. What the Vantagepoint AI does, what it cannot reach in your archive, and the deploy-alongside math that converts archive-search time into realized utilization.

Microsoft 365 Copilot ($30/user/mo Enterprise, $21 Business, as of October 2026) is bundled into every civil firm's M365 tenant. Here's what it does, where it breaks on a legacy archive, and what to deploy alongside it.

At a 200-person civil engineering firm, senior staff have quietly stopped searching the firm's archive. Finding the right prior project takes longer than redoing the work from scratch. This guide covers what specialty engineering firms can use instead of Glean and Microsoft Copilot, what it actually costs, and two archive patterns we see at civil and mining firms we have scoped.

Third-party reports (March 2026) put Glean at about $60,000/year with a 100-user minimum. If that's not your budget, this guide covers the best alternative for mid-size companies — live 6 to 8 weeks after the deployment agreement is signed, no per-user fees. Start with a $5,000 pilot, credited toward setup if you sign a deployment within 60 days of the pilot's end.

Your team isn’t drowning in hard work—it’s drowning in invisible, repetitive tasks that don’t grow your business. Learn how AI automation can eliminate the drag and give your team back their time, energy, and focus.

Stop drowning in busywork. Discover the 3 AI tools helping small and medium businesses work smarter—not harder—in 2025. From 24/7 sales bots to zero-touch invoice processing, this guide breaks it all down.

From Amazon’s failed resume filter to facial recognition bans—this post dives into the real-world damage caused by unethical AI. Learn how companies lost billions, faced lawsuits, and sparked public outrage—and how your business can avoid the same fate.