

From Fragmented Systems to Agentic Enterprise: How Engineering & Construction Leaders Are Using Workato + AI To Redesign Project Delivery
Engineering and construction is at an inflection point: improving digital maturity and creating a firm‑wide technology strategy is now a top board‑level priority, yet most firms are still operating with a spiderweb of point‑to‑point integrations, manual reconciliations, and no single source of truth across ERP, project platforms, and field tools. The result is invisible drag on every job: slow RFIs, stale drawings, delayed cost visibility, and a workforce drowning in admin rather than driving project outcomes.
In this executive session, ANSA and Workato will show how leading firms are using an integration and automation backbone to connect Procore, Autodesk Construction Cloud, Aconex, Oracle/SAP, HR, and field systems, then layering orchestration AI on top to unlock faster decisions, fewer manual handoffs, and materially better margins.
Who this is for
CxOs, project executives, and operations leaders at construction, mechanical, civil, and specialty engineering firms who own P&L outcomes.
CIOs, CTOs, and IT leaders who are inheriting a complex stack spanning ERP (SAP, Oracle, Viewpoint, CMiC, Sage), project platforms (Procore, ACC, P6), HR, CRM, BIM and CDEs, and need a unifying orchestration layer.
Strategy and transformation leaders tasked with moving from isolated pilots to a coherent automation & AI roadmap.
What you will see
How leading firms are:
Synchronizing drawings, RFIs, submittals, and issue logs across Autodesk ACC, Aconex, BIM 360, Procore and other CDEs, eliminating copy‑paste workflows and stale information.
Connecting subcontractor invoices, change orders, and job cost data directly from project platforms to ERP, giving finance and project controls the same live numbers.
Automating bid‑to‑project workflows, workforce onboarding, and access provisioning so new projects stand up in hours rather than weeks.
How orchestration AI is being applied today to:
Read RFIs, contracts, and lab reports, extract key data, classify risk, and route for review without manual retyping.
Compare sequential drawing revisions and surface what actually changed, reducing design risk and manual comparison effort.
Trigger predictive cost alerts and generate draft variance narratives before problems show up in monthly reports.
Key takeaways
A decision framework to prioritize high‑ROI automation and AI use cases across project controls, finance, field operations, and workforce management, rooted in what peers are actually deploying.
Reference architectures that show how Workato, AI services (OpenAI, Anthropic, etc.), and your core applications (ERP, Procore/ACC, HRIS, CDEs) fit together without a rip‑and‑replace.
A practical 90‑day playbook to:
Identify 1–3 high‑impact workflows (e.g., CDE synchronization, field‑to‑finance, onboarding).
Stand up a governed integration & automation layer.
Layer in targeted AI workflows or agents to prove impact on cycle times, rework, and margin.
Why attend
You will leave with a concrete, engineering‑focused view of what an “agentic enterprise” looks like in EC: where to start, what to automate, how to bring AI into the mix without compromising governance, and how peers are already doing it with Workato. It is not a product pitch; it is a design session grounded in real projects, real constraints, and real numbers.