The ERP Expert You Always Wanted: Reimagining A&E Operations in an AI-First Era

AI Reshapes A&E Operations

Architecture and engineering (A&E) firms have long relied on enterprise resource planning (ERP) systems to track projects, resources, and finances in an industry defined by tight deadlines, fixed-fee contracts, and razor-thin margins. Yet persistent complaints about delayed reporting, manual interventions, and incomplete visibility into project risks have turned these systems into bottlenecks rather than assets.

Recent developments have shifted the landscape decisively. In 2025, AI adoption among A&E firms jumped sharply, with surveys showing usage rising from 38% to 53% in just one year. Vendors specializing in project-based ERP, such as Unanet and Deltek, have responded by embedding natural-language AI copilots and agentic capabilities directly into their platforms. Unanet's February 2026 launch of Champ for ERP, tailored for A&E, exemplifies this move toward always-on intelligence that queries data in plain language, surfaces risks early, and automates workflows while maintaining auditability and role-based controls.

The stakes are concrete and immediate. A&E firms operate in an environment where poor visibility can lead to cost overruns, underutilized staff, or missed billing opportunities—issues that compound quickly on multimillion-dollar projects. Industry reports indicate that nearly half of firms still lack adequate tools for data integration and analysis, leaving leaders to rely on spreadsheets and guesswork. Inaction carries high costs: delayed decisions erode profitability, competitive bids suffer, and talent retention becomes harder in a sector already facing skilled labor shortages.

Non-obvious tensions complicate the shift. While AI can deliver explainable insights grounded in ERP data, legacy system silos and inconsistent data quality undermine reliability. Firms must balance the promise of faster execution against risks of over-reliance on black-box outputs or insufficient governance. Early adopters gain advantages in project forecasting and resource allocation, but widespread scaling demands cultural changes and investments that many mid-sized firms hesitate to make amid economic uncertainty.

Broader ERP trends reinforce the urgency for A&E specifically. Across industries, 2026 forecasts point to deeper AI embedding, with agents handling routine processes and modular systems replacing rigid monoliths. For project-centric A&E operations, this evolution addresses chronic pain points but requires firms to treat ERP not as back-office software but as a strategic layer for survival and growth.