Alex Lira

Executives make decisions without seeing the field; field teams execute without understanding those decisions.

• Parallel spreadsheets, reports weeks out of date and photos buried in folders fill the gap.
• Because a capital project is an investment meant to start returning money as soon as construction ends, every day of delay is money that never comes back.

The post cites McKinsey's 2025 analysis of more than 300 megaprojects above $1 billion and Flyvbjerg's Oxford work across 16,000 projects, quoting an 80% average cost overrun, a 50% average schedule delay, and only 8.5% of projects meeting both cost and schedule targets. Alex Lira names a $200M factory, a $2B data centre and a $30M retail expansion as projects where delays destroy returns.

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The method translates data into decision support for executives and execution data for field teams, then uses documentation to prevent claims before they arise.

The 'Capital Projects Digital PMO' method has five steps: continuous capture with drones, 3D scanners, 360-degree cameras and live cameras; AI consolidation of reports, minutes, RFIs and plans into one source of truth; analysis combining AI with human PM/PMO expertise; translation of data for different audiences; and continuous capture-based documentation. The post offers a methodology infographic to anyone who comments 'PMOD'.

The same argument appears in two posts with identical wording, pointing to a settled, repeatable framing rather than a one-off comment.

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In architecture and engineering, the tools already exist, but liability, fragmented tools and squeezed fees freeze adoption.

• Construction faces a different, deeper problem: AI needs data and something to act on, while the jobsite is the only phase of the project lifecycle that produces no structured coordinates, classifications or ground truth by default.
• The argument: instrument the jobsite first, and that data becomes the foundation for digital twins and AI.

The post uses Anthropic adoption data to contrast architecture and engineering, where tools are present but underused, with construction, which is 'barely on the map'.

• The tools named for instrumenting a site are drones, 360-degree cameras, scanners and IoT.
• Alex Lira says whoever builds this data layer owns the most valuable asset in capital project delivery and offers a guide titled '7 Steps to Implement AI on Your Jobsite' to readers who comment 'DIGITAL'.

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The shift they highlight is structural: competition is moving to the orchestration layer, where agents navigate systems, fill forms, analyse context, make decisions and complete workflows with minimal human intervention. In AEC, AI moves from assistant to operator, administrative and technical tasks become autonomous, and BIM, drones, sensors, cameras and construction data need to work together.

Alex Lira reports, citing Sam Altman, that Peter Steinberger, founder of the AI agent OpenClaw, has joined OpenAI to lead development of autonomous personal agents.

• Their conclusion is deliberately plain: 'Less prompting.
• More action.'

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The event brings together engineers, architects, AI and BIM specialists, marketers and founders. One panel argues that digital influence has become a route to authority and sales in engineering.

The Innova Build Conference took place in Belo Horizonte on 24 October, following earlier editions in São Paulo and Miami, with over 10 hours of content and 18 talks and panels.

• CREA Minas Gerais, the regional engineering council, is named as official sponsor; Trimble and arqgen appear among the partners.
• A pre-event post lists Alex Lira as CEO of Construlab and a confirmed speaker, with panels on the future of construction, structural innovation, digital influence, and a CEO discussion on technology and innovation.

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Their recurring point: digital adoption is now a dividing line in competitiveness, and interoperability between platforms will determine how productive and risky project delivery becomes.

At Autodesk University 2025 in Nashville, Alex Lira reports more than 12,000 participants, over 500 learning sessions and more than 100 construction-focused sessions. Their takeaways: adopters are pulling away from laggards; open ecosystems and the Autodesk Construction Cloud are reshaping collaboration; Autodesk Forma was central for its interoperability and real-time data exchange; and an event of this scale run by a single company shows Autodesk's influence in the industry.

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This connects the commercial message to an EU-funded research network and an industry partnership.

Alex Lira says they were selected for a capstone project on reality capture, BIM and artificial intelligence within the EU-funded International Master's in Digital Twins for Construction, Infrastructure and Cities.

• The programme is led by École des Ponts ParisTech and Universidad Politécnica de Madrid, with a network including Budapest University of Technology and Economics and Istanbul Technical University.
• The capstone is run with Altametris, a Paris-based company described as a European reference in digital twins, LiDAR, inspections and railway innovation.
• The next in-person event is scheduled for Paris in February 2026.

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This is the clearest single post for a newcomer: it lays out the diagnosis and the five-step service in one read.

Alex Lira opens with a hard statistic set — 98% of capital projects failing on cost or schedule, an 80% average cost overrun and a 50% average schedule delay — attributing the figures to McKinsey's 2025 analysis of more than 300 megaprojects above $1 billion and to Flyvbjerg's Oxford work across 16,000 projects.

• The argument: the cause is not technical incompetence but "invisibility."
• Executives decide without seeing the field, the field executes without understanding the decision, and outdated spreadsheets, stale reports and photos in folders leave a data gap that closes too late.
• Lira defines a capital project as an investment — a $200M factory, a $2B data centre or a $30M retail expansion — where delay is money that never comes back.
• They then describe Construlab's "Capital Projects Digital PMO" in five steps: continuous capture with drones, 3D scanners, 360° cameras and live cameras; AI consolidation of reports, minutes, RFIs and plans into one source of truth; analysis combining AI with human PM/PMO expertise; translating data for different audiences so executives get decision data and the field gets execution data; and continuous documentation to head off change orders, disputes and claims.
• The post closes with a $24 trillion five-year market figure and a comment-for-infographic call to action.

For brands planning a campaign

The most directly aligned original for a partner selling AI-driven project management: its five steps outline a partnership brief, naming reality capture, AI consolidation and PMO expertise. The comment-gated infographic shows Alex Lira already uses this methodology to distribute a lead magnet, making co-branded methodology content a natural first ask.

It lays out the argument behind the methodology in the first post, framing reality capture as a prerequisite rather than a product category.

Using Anthropic data on AI adoption by industry, Alex Lira contrasts two sectors.

• In architecture and engineering, the tools exist — BIM, cloud and generative design — and professionals "feel digital," but liability, fragmented ecosystems and compressed fees freeze adoption.
• In construction, the table barely appears: AI needs data and something to act on, and jobsites produce no structured coordinates, classifications or ground truth by default.
• The post argues that the jobsite must first be instrumented with drones, 360° cameras, scanners and IoT; it calls that translation work a digital twin and says it begins with reality capture — whoever builds that data layer "owns the most valuable asset in capital project delivery."
• It ends with a comment-gated free guide, "7 Steps to Implement AI on Your Jobsite," and an invitation to a Construlab newsletter.

For brands planning a campaign

Useful for a partner whose offer depends on data-capture hardware, sensors or analytics: Alex Lira already teaches the sales argument that AI adoption in construction is gated by jobsite data and distributes an implementation guide. A partnership could extend that guide to a specific product category rather than start from zero.

It gives the credential and institutional context behind the commercial posts.

Alex Lira describes closing a weekend in Madrid in the International Master's in Digital Twins for Construction, Infrastructure and Cities, funded by the European Union and led by École des Ponts ParisTech and Universidad Politécnica de Madrid, with a network including Budapest University of Technology and Economics and Istanbul Technical University.

• They say they were selected for a capstone project on reality capture, BIM and artificial intelligence, working with Altametris, a Paris-based company described as a European reference in digital twins, LiDAR, inspections and railway innovation.
• The next in-person event is noted as taking place in Paris in February 2026.

For brands planning a campaign

Places Alex Lira in a European research and infrastructure network around digital twins and LiDAR, as well as a Brazilian contractor community. For a partner with rail, infrastructure or digital-twin technology, this post supports an approach through a technical or academic angle.

It shows their trend-reading register, distinct from their project-management writing.

Alex Lira reports that Peter Steinberger, founder of the AI agent OpenClaw, has joined OpenAI to lead development of autonomous personal agents, and argues that the significance is structural.

• In their framing, the AI race has moved from who has the smartest model to who builds agents that execute — navigating systems, filling forms, analysing context, making decisions and completing workflows with minimal human intervention.
• They list what this means for architecture, engineering and construction: AI moving from assistant to operator; technical and administrative tasks being executed autonomously; and tighter integration between BIM, drones, sensors, cameras and construction data.
• The post is signed "Alex Lira, Beng, PMP."

For brands planning a campaign

Best suited to a partner selling agent or workflow-automation tools rather than capture hardware. Alex Lira places AEC within a general software narrative, creating scope for thought-leadership content beyond construction.

It is the best example of Lira's conference-recap format.

Alex Lira writes about attending Autodesk University 2025 in Nashville on 16–18 September 2025 at the Music City Center, representing Construlab.

• They report more than 12,000 participants, over 500 learning sessions, including more than 100 construction-focused sessions, and a global expo.
• Four insights follow: the gap is widening between companies adopting technology and those that are not, making digital adoption a competitiveness issue; open ecosystems and the Autodesk Construction Cloud are reshaping collaboration across tools and teams; Autodesk Forma was central, with interoperability and real-time data exchange framed as critical to productivity and risk management; and the scale of a single-company event signals Autodesk's influence in AEC.
• A link to a fuller article is included.

For brands planning a campaign

Relevant to platform-ecosystem partners. A company operating inside the Autodesk Construction Cloud could add technical depth to this recap format or co-produce a follow-up analysis; Alex Lira already turns event attendance into published takeaways.

Along with the pre-event announcement, it shows that Construlab runs its own conference rather than just attending others.

After the event, Alex Lira describes the Innova Build Conference held in Belo Horizonte on 24 October, organised by Construlab, with prior editions in São Paulo and Miami.

• The recap cites over 10 hours of content, 18 talks and panels, official sponsorship from CREA Minas Gerais (the regional engineering council), and a speaker list spanning engineers, architects, BIM and AI specialists, marketers and founders, alongside partner companies including Trimble and arqgen.
• A companion pre-event post lists Lira as CEO of Construlab and a confirmed speaker, with panel themes covering the future of construction, structural innovation, digital influence as an authority and sales strategy in engineering, and a CEO panel on technology and innovation.

For brands planning a campaign

The clearest sponsorship and speaking opportunity tied to Alex Lira: they own the event, control the agenda and have secured institutional sponsorship and platform partners. A construction technology partner could buy or co-create a session rather than pitch separate content.

The posts argue that the problem is not technical competence but invisibility: executives decide without field evidence, while field teams execute without understanding those decisions.

• Data remains fragmented across spreadsheets, delayed reports, and buried photos.
• Lira frames capital projects as investments where delays destroy expected returns, citing factories, data centres, and retail expansions as examples.

Lira frames a problem with statistics, presents a named methodology, then gates a lead-magnet request behind comments.

For brands planning a campaign

This is the clearest entry point for campaigns targeting audiences interested in AI-driven project management. A partner could build on quantified failure and the cost of poor visibility, positioning Alex Lira as a commentator who connects project controls to executive decision-making.

Examples: Source 1 · Source 2

It comprises five steps: continuous digital capture using drones, 3D scanners, 360-degree cameras and live cameras; AI consolidation of reports, meeting minutes, RFIs and plans into a single source of truth; visual analysis combining AI with human PM/PMO judgement; translation of data for executives and field teams; and continuous documentation to prevent change orders, disputes and claims.

The five-step method comes with a downloadable infographic as a lead-generation prompt.

For brands planning a campaign

A construction technology partner could use this as the technical anchor for co-developed AI project-management solutions: Lira has articulated both a step-by-step operating model and the buyer problem it addresses.

Examples: Source 1 · Source 2

Construction, Lira argues, is the only project phase that generates no structured data by default, so AI requires instrumenting the jobsite with drones, 360-degree cameras, scanners and IoT. Lira calls reality capture the first step and says whoever builds that data layer owns the most valuable asset in capital project delivery.

Lira uses third-party adoption data to distinguish architecture and engineering from construction, then argues that construction's gap is an instrumentation problem, not a modelling problem.

For brands planning a campaign

Useful for a technology partner selling AI readiness or reality-capture adoption. The post argues that data infrastructure must come before AI, and Lira invites readers to request a guide titled 7 Steps to Implement AI on Your Jobsite.

Examples: Source 1

In AEC, Lira says, AI moves from assistant to operator, technical and administrative tasks become autonomous, and BIM, drones, sensors, cameras and construction data need seamless integration. The post says firms that understand this transition early will operate at a different level.

Lira reacts to a current AI-industry event, identifies the strategic layer at stake, and draws out three consequences for AEC.

For brands planning a campaign

A partner launching agentic or automation products could build on Lira's argument that AEC firms should rethink digital strategy now. The topic extends beyond capital-project delivery and shows how Lira translates broader AI-industry moves into construction consequences.

Examples: Source 1

Described as an international conference previously held in São Paulo and Miami, it featured confirmed speakers across engineering, BIM, AI, architecture, marketing and leadership.

• The recap reports 10 hours of content and 18 talks and panels, and calls it one of Brazil's leading innovation events for the AEC industry.
• Lira is listed as CEO of Construlab and a confirmed speaker.

Lira uses a full-day conference format, featuring named sponsors, speakers and panel themes, rather than a single sponsored post.

For brands planning a campaign

A partner could consider event sponsorship, a speaking slot, or a co-branded activation. This offers direct access to a Brazilian AEC audience that Lira already convenes around AI, BIM and digital construction.

Examples: Source 1 · Source 2

Key takeaways: the gap between technology adopters and laggards is widening; open ecosystems are reshaping the industry through Autodesk Construction Cloud; Autodesk Forma was central because of its interoperability; and the event's scale reflects Autodesk's influence in AEC.

Lira presents event takeaways as numbered insights and links to a fuller article.

For brands planning a campaign

This supports a platform or ecosystem partnership, particularly for a partner building around Autodesk-adjacent workflows. Lira knows the vendor landscape and reports on interoperability as a buying factor.

Examples: Source 1

The capstone covers reality capture, BIM and AI and is run in partnership with Altametris, a Paris-based digital twin and LiDAR company. They describe the next in-person event in Paris in February 2026.

Lira participates as a researcher or student in a funded international programme and works with a named industry partner on a defined capstone topic.

For brands planning a campaign

This adds research and European partnership credibility to a digital-twin or infrastructure pitch. A partner could position Lira in R&D-focused content or as a bridge to academic and industry collaborations.

Examples: Source 1

Posts describe the company's proprietary “Capital Projects Digital PMO” method (reality capture plus AI plus PM/PMO expertise) and say it organises the Innova Build Conference. The sources state their executive role but not an ownership stake; ask whether they hold one.

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An earlier announcement names arqgen founder Thomas Takeuchi as a confirmed speaker on generative design with AI.

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Alex Lira says they were selected for a capstone research project on reality capture, BIM and AI in partnership with Altametris, as part of the EU-funded International Master's in Digital Twins for Construction, Infrastructure and Cities.

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The post describes conference attendance, not a commercial relationship; ask whether one exists.

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Rafael Soares argues that data quality and governance determine whether AI works, and that CIOs must explain and sell AI to employees. Alex Lira makes the case for construction, arguing that AI needs structured jobsite data and that executives and field teams need different views of the same truth.

Rafael Soares writes in Portuguese for enterprise data and CIO audiences, focusing on data governance, culture and change management. Alex Lira covers AEC, capital-project delivery and reality capture, using construction examples such as drones, scanners and BIM.

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Ocaoa Amorim compares WMS, TMS and DMS, arguing that no system can fix a broken process. Alex Lira argues that AI and digital tools will not fix capital-project delivery unless jobsites produce structured data first.

Ocaoa Amorim covers logistics and supply-chain systems, with examples from warehousing, transport and distribution. Alex Lira covers construction and infrastructure, including reality capture, digital twins and capital-project PMOs.

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Eduardo Medeiros describes turning around logistics operations by restoring governance, assigning owners to indicators and applying method. Alex Lira describes capital-project failure as a problem of invisibility and proposes continuous data capture, consolidation and translation to close the gap.

Eduardo Medeiros writes from a logistics career and frontline leadership perspective, with examples from DHL, Solistica and Patrus. Alex Lira writes from a construction-technology and PMO perspective, drawing on capital projects, AI adoption and AEC events.

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They write that data quality is a foundation of AI success and that companies’ existing information is usually scattered across folders, servers, separate clouds, printed documents, email and social networks, with no technology team, time or priority to organise it before AI projects stall.

• That fits a product that consolidates, structures or governs project records better than one that instruments a jobsite.
• A second post argues that the technology leader’s role now includes explaining AI to colleagues and training them through the legitimate fear of being replaced—a fit for campaigns about internal adoption and culture rather than field capture.

Soares’s two posts are general business writing in Portuguese about data governance, AI adoption and the technology leader’s role.

• Neither gives a construction, capital-project or jobsite example.
• A campaign would lose the delivery stakes—cost overruns, schedule delay and change orders—that make the capital-project argument concrete.
• Ask for built-environment examples before placing a campaign that depends on them.

Examples: Source 1 · Source 2

They explain how to choose between WMS, TMS and DMS based on an operation’s main pain point, warn that companies invest millions in technology before correcting their processes and end up with robust systems delivering modest results, and list the conditions that determine whether an implementation works: inconsistent data, team training and ERP integration.

• A related post sets out cross-docking and measures of its success, including OTIF, logistics cost per order, return rate and vehicle occupancy.
• That is a closer match for a product sold into logistics operations than for a construction-technology campaign.

Neither post touches AEC, capital projects or AI-assisted project management; the concrete examples are distribution centres, freight and replenishment.

• A campaign would shift toward logistics operations, and the AI-for-construction angle would need to be dropped or rebuilt.
• Ask for construction examples if that angle is central.

Examples: Source 1 · Source 2

They cite 25 years inside logistics operations across the Northeast, North and Centre-West, in transport, e-commerce, pharmaceutical and distribution, and offer the same diagnosis for every broken operation: missing governance, indicators without an owner and leadership without method.

• The post also gives outcomes: 88% revenue growth, R$1M in costs cut and SLA at 97.1% across five Solistica branches in 12 months; R$3M in fiscal liabilities reduced to R$300K in five months at Patrus; and more than two million deliveries a year at DHL with 300+ people.
• A second post describes visiting a Porto Velho site, working the day shift and joining the night shift at 3am with named Mercado Livre colleagues.
• They credit the team’s energy for repeated top regional performance.
• That floor-level, firsthand tone is unusually strong for a change-management or operator-adoption message.

The two posts contain no AI, data-platform or digital-tool content and no built-environment work.

• Medeiros offers an operational-leadership voice, but the campaign would need to supply its own technology argument.
• Ask for construction or project-delivery examples if those are essential to the campaign.

Examples: Source 1 · Source 2