For finance
For delivery
Live data, smart decisions: How real-time forecasting transforms AE operations
Stefanie Richter
Business Development & Microsoft Partnership Manager, sa.global
Table of contents
Architecture and Engineering (AE) firms are under growing pressure to deliver projects more predictably while managing tighter margins, increasing complexity, and rising client expectations. Yet many firms still rely on month-end reporting cycles and spreadsheet-driven forecasts to guide critical decisions.
The industry, however, is moving in a different direction.
According to the 2025 Zweig Group Information and Technology Report, median IT budgets in AE firms climbed to $1.1M in 2025, up from $859,500 the year before – and high-performing AE firms now invest nearly three times more in IT than low-growth firms.1
This is a clear signal: AE firms are actively modernizing, and operational visibility is becoming essential, not optional.
As part of this shift, the demand for live project performance insights is rising sharply. Leaders can no longer rely on static, delayed data to manage today’s fast-moving, multi-stakeholder projects. They need to have updated intelligence on delivery, financial movement, and resource demand — accessible in real time and consistent across the firm.
Real-time forecasting for AE firms replaces delayed, manual reporting with live, connected insights across projects, resources, and financial performance – enabling faster decisions, earlier risk detection, and more confident project delivery.
Why month-end reporting no longer works
Even with increasing modernization, many AE firms still rely on reporting cycles that can’t keep up with the speed or complexity of today’s projects. Processes that once worked now create delays, blind spots, and missed opportunities for intervention.
Most AE firms still follow the same cycle:
- PMs submit manual spreadsheet updates
- Finance teams reconcile data from multiple sources
- Leadership reviews static reports weeks after the fact
This model introduces several challenges that directly affect delivery and profitability.
1. You find risks only after they have already done damage
By the time overruns, schedule slips, or utilization dips show up in month-end reporting, the opportunity to course-correct has often passed. In an industry with thin margins, this delay is costly.
2. Forecasting accuracy suffers
Manual forecasting relies on disjointed spreadsheets, inconsistent templates, and outdated data. This leads to unreliable projections, reactive firefighting, and inefficient decision-making.
3. Disconnected systems make insight hard to access
Only 37% of AE firms report high integration across core systems such as project management, finance, CRM, and resource planning.1
This lack of integration makes real-time forecasting nearly impossible – PMs and finance teams spend more time reconciling data than analyzing it.
4. Decision-making becomes slow and reactive
When the business moves faster than the reporting cycle, leaders are forced to make decisions with incomplete information. This limits agility and increases operational risk.
How real-time forecasting for AE firms transforms operations
Real-time forecasting for AE firms doesn’t just improve reporting – it fundamentally changes how they operate. When project, financial, and resource data updates continuously, teams gain the ability to respond to issues as they emerge rather than after they’ve already impacted performance:
Project management becomes proactive
PMs no longer chase spreadsheets or wait for finance to surface issues. With live visibility into budget drift, schedule risk, and workload imbalance, they can intervene earlier — before problems escalate.
Finance gains accuracy and predictability
Continuous forecasting supports more reliable revenue and margin projections, reduces month-end bottlenecks, accelerates billing, and strengthens financial planning. Finance shifts from retrospective reporting to forward-looking guidance.
Resource management aligns with reality
With real-time insight into utilization, pipeline demand, and skills availability, resource teams can spot staffing gaps earlier, balance workloads more effectively, and reduce burnout – a critical benefit as AE firms continue to face talent shortages and rising delivery demands.
Leadership gains true portfolio visibility
Executives get an immediate view of operational health across the firm — including performance trends, upcoming risks, forecasted revenue, margin expectations, and backlog alignment. With this clarity, decisions become faster and more confident.
When every team operates from a single, up-to-date source of truth, conversations shift from explaining variances to addressing opportunities and mitigating risks before they grow.
Technology is finally enabling what AE firms have wanted for years
The AE industry has long understood the value of real-time insight, but the tools to support it were often out of reach. Today, that barrier is disappearing. Firms are embracing cloud platforms, unified data models, and AI-assisted analytics that connect the full project lifecycle – from pursuit to delivery to financial close.
This modern foundation allows data to move freely across systems, eliminating the legacy silos that once made real-time forecasting impractical. With Microsoft Dynamics 365, Power BI, Microsoft Fabric, and industry solutions such as sa.global’s evergreen and empower, project, resource, financial, and client information no longer lives in separate worlds. It becomes part of a connected, intelligent ecosystem that updates continuously and drives insight automatically.
As firms explore tools like Microsoft Copilot and other AI technologies, the need for real-time forecasting becomes even more urgent. AI can only generate meaningful recommendations when it is fueled by accurate, current, and connected data. Without that foundation, its insights are incomplete. With it, AI becomes a multiplier — accelerating analysis, surfacing risks, and guiding decisions faster than traditional methods ever could.
A practical path forward
Implementing real-time forecasting does not require a wholesale transformation on day one. Most AE firms begin by consolidating their data, unifying forecasting practices, and replacing manual spreadsheets with automated dashboards. From there, the move to predictive models and AI-assisted insights becomes a natural progression, not a revolutionary leap.
The key is recognizing that real-time forecasting is not just a reporting improvement – it is an operational shift. Firms that embrace it gain the visibility, speed, and precision needed to run projects more predictably, allocate resources more effectively, and navigate uncertainty with greater control.
References:
1 2025 Zweig Group Information and Technology Report
Stefanie Richter
Stefanie Richter is a recognized leader in business development and Microsoft partnership strategy, focused on enabling service-based firms to scale with purpose and clarity. At sa.global, she leads the firm’s go-to-market strategy for the Microsoft Service-Centric Cloud, working closely with engineering, legal, and consulting firms to navigate transformation. With a background in sales strategy, operational enablement, and change culture, Stefanie brings a human-first lens to every conversation – championing clarity, trust, and innovation. She’s also an active member of ACEC and a driving force behind Microsoft AI adoption in the AEC industry.