Business Analysis
I turn construction processes into clear requirements, workflows and controls, so site, procurement and finance work as one process.
How I do business analysis →
Atul IwaleProcess, Data & AI for Construction
10+ years leading digital transformation in construction: mapping processes, leading system implementations, and now building forecasts, AI assistants and automations that help to increase the ROI of the project.
15 portfolio projects · 9 use machine learning · 2 built on real public data — see all projects →
I turn construction processes into clear requirements, workflows and controls, so site, procurement and finance work as one process.
How I do business analysis →I run ERP implementations from discovery through go-live and stabilisation, so teams actually adopt the new system.
How I run implementations →I turn scattered project records into reliable, decision-ready reporting.
How I analyse data →I build forecasting, risk and AI-assistant tools, and small agent-based automations that remove repetitive work, so teams turn project data into decisions faster.
How I apply ML & AI →Connecting AEC expertise, technology implementation and data intelligence to the decisions that move your projects forward.
Tap a step to see how it creates value.
AEC Business Knowledge guides Technology, which produces Data. Data branches into Analytics, Machine Learning and AI, which converge into Actionable Insights, supporting Informed Decisions. The methods are selected for the task.
My understanding of AEC processes guides how technology is applied, what data is captured, and which insights matter.
My understanding of AEC processes guides how technology is applied, what data is captured, and which insights matter.
Helping AEC teams adopt technology through targeted training, User Acceptance Testing (UAT), and implementation aligned with their project workflows.
Map, validate and organize operational records into a reliable foundation for analysis.
Use dashboards and analysis to explain performance, investigate variance and identify what needs attention.
Learn from historical data to estimate outcomes and identify risks, with results checked against operational reality.
Make project knowledge easy to find and routine work run on its own: AI assistants that answer questions from contracts and project documents, and small agent-based automations that handle repetitive tasks like ticket triage, approval follow-ups and report generation.
Translate analytical findings into practical options, priorities and next steps for project teams.
Combine evidence with AEC expertise and professional judgment to decide what to do next.
Map sales, booking-to-handover and cost workflows, and define the approvals that connect them.
Roll out ERP across sales, projects and finance, from requirements and UAT through go-live and handover.
Bring bookings, collections, project costs and cash flow into one trusted view for leadership decisions.
Forecast cancellations and margins, flag collection risk early, and automate sales and payment follow-ups.
Map site-to-procurement-to-finance processes, from indent and PO to billing, so every handoff is clear.
Implement contractor ERP from kickoff to go-live: configure, migrate data, train site teams and stabilise.
Put procurement, subcontract, inventory and payroll data in one place, with budget-versus-actual reporting.
Flag payroll anomalies and equipment breakdown risk, and automate approval reminders and daily reports.
Turn client needs into clear requirements, business rules and UAT scenarios that everyone can sign off.
Plan and govern system rollouts for clients, keeping scope, risks, milestones and stakeholders visible.
Keep project records clean and traceable, so estimates, audits and claims stand up to scrutiny.
Produce ML cost estimates, review contract clauses for risk, and draft recurring reports automatically.
Simplify approvals and handoffs, so site, office and finance teams know who does what, and when.
Deliver training, UAT and go-live support that sticks, with follow-up until the system is part of daily work.
Build dashboards teams actually trust, with clean data, agreed KPIs and numbers that match the ERP.
Answer project questions with an AI assistant, and automate daily task alerts and status updates.
HIRING
15 projects, 9 with machine learning and 2 on real public data, built by someone who knows how construction actually runs.
CONSULTING
From ERP workflows to forecasts and risk flags your team will actually use.
PRODUCT
A domain expert who can also build and test the model, and who has worked with real OSHA and NYC building data.
Tell me about the process or decision you want to improve.