AI Strategy for E&C Leaders
Decide where AI belongs, what to govern, which pilots deserve funding, and how to move from curiosity to operating plan.
- Capability map for your workflows
- Scored use-case portfolio
- 12-month pilot roadmap
Practical AI workshops for E&C leaders, proposal teams, and project delivery groups. Built around the documents your teams already use: RFPs, specs, RFIs, change orders, meeting notes, and owner updates.
The goal is not a generic AI demo. The goal is a working operating model your people can use on Monday, with clear limits around licensed work, client confidentiality, procurement rules, and safety-critical decisions.
E&C teams operate with PE stamps, bonding requirements, public procurement rules, safety obligations, subcontractor pricing, and client confidentiality. That changes where AI belongs and where it absolutely does not.
These workshops separate useful augmentation from risky automation, then turn that judgment into repeatable team practices: approved tools, prompt patterns, review checkpoints, data tiers, and ownership.
Each workshop can stand alone, or they can be sequenced into a broader adoption plan for leadership, pursuit teams, and project delivery.
Decide where AI belongs, what to govern, which pilots deserve funding, and how to move from curiosity to operating plan.
Build a proposal pipeline that extracts requirements, produces compliance matrices, drafts from approved prior art, and red-teams submissions.
Reduce documentation burden across OAC notes, RFIs, spec questions, change orders, and owner communications.
For firms that need a cohesive rollout: leadership alignment, policy, training, pilot support, and change management.
AI can draft, summarize, compare, and critique. It does not sign calculations, replace professional judgment, or make safety-critical decisions.
Owner data, contracts, project financials, and subcontractor pricing need explicit rules before teams paste anything into AI tools.
Public bids have compliance details that AI can help surface, but humans still own attestations, commitments, pricing, and final submission quality.
Superintendents and project managers adopt AI when it saves time on RFIs, notes, updates, and specs, not when it feels like another platform rollout.
Review your firm type, current tools, pursuit pipeline, project delivery workflow, policy constraints, and training audience.
Shape the workshop around representative RFPs, specs, meeting notes, RFIs, change narratives, and approved prior art.
Teams work through real prompts, outputs, review steps, and operating rules with the tools they are likely to use.
Turn what worked into a repeatable playbook, measure adoption, and identify the next pilot or workflow to improve.
Larry Waldman co-founded Microsoft Teams, advised and presented to senior leaders at Microsoft, DoorDash, and client companies, and built AI strategy and AI-enabled workflows across infrastructure and operations.
That background matters for E&C teams because adoption is not just prompt training. It is product judgment, change management, security, governance, and practical workflow design.
Send a short note about your firm, audience, and the workflows you most want to improve.
Best fit: leadership teams, proposal groups, PMOs, project managers, and operations leaders who need safe, useful adoption.
Email Larry