--- title: At what project size does a digital twin pay off? | Inviewd description: McKinsey: large projects run up to 80% over budget. What the model contributes on small, mid-sized and large-scale developments. lang: en canonical: https://inviewd.com/en/gemelo-digital-proyectos-pequenos-medianos-grandes.html source: https://inviewd.com/en/gemelo-digital-proyectos-pequenos-medianos-grandes.html markdown: https://inviewd.com/en/gemelo-digital-proyectos-pequenos-medianos-grandes.md publisher: Inviewd S.A.S. --- # At what project size does a digital twin pay off? “That must be for big projects.” It's the first thing mid-sized developers say when we bring up digital twins. It's understandable, but it's backwards: what changes with size isn't *whether* it's worth it, but *what for*. The short version - What changes with size isn't whether it's worth it, but what for. - Small project: the risk is commercial, and the model replaces the show unit. - Mid-sized: a design error multiplies across phases; the model pays for itself in the first. - Large scale: the risk is coordination: design explains 79% of deviation costs (CII). - No project blows its budget on what was planned, but on what wasn't accounted for. Want to see this on your project? [Book a free demo](https://wa.me/573182583664?text=Hola,%20quiero%20mas%20informaci%C3%B3n%20sobre%20la%20sala%20de%20ventas%20virtual.%20) ## First, why the big ones do need it McKinsey reviewed more than 300 projects with contracts above one billion dollars and found average cost overruns near **80%** and delays around **50%**. Broadly, large projects take about 20% longer than scheduled. The reason has more to do with coordination than with technology. Many actors, many interfaces, and nowhere for everyone to see the same thing at the same time. ## What the model contributes at each scale ### Small project — one tower, under a hundred units Here the risk is commercial, not constructive. Every month of absorption weighs on a tight budget, and there's no room for a model apartment that gets built early and sold last. Here the model pays for itself through sales. It replaces the physical unit, travels over WhatsApp and reaches the buyer living in another city. ### Mid-sized project — several towers or phases Here the risk of repetition appears. A detail poorly resolved in phase 1 gets built identically in 2, in 3 and in 4, so the error multiplies with every phase. And because the unit types repeat, the model pays for itself in the first phase and gets reused in the following ones with minor changes. It's where the investment performs best. ### Large scale — mixed use, megaprojects, public works Here the risk is pure coordination. Several designers, several contractors, chained schedules and decisions that depend on one another. The Construction Industry Institute found that design changes, errors and omissions explain **79% of deviation costs**, 9.5% of total project cost. On a job with twenty interfaces between disciplines, that number stops being a statistic and becomes the schedule. ## The real problem: what nobody accounted for No project blows its budget because of what was planned. It blows it on what *wasn't* accounted for: the duct nobody coordinated, the headroom nobody verified, the finish nobody defined until the invoice arrived. Autodesk and FMI quantified that gap. Decisions made on bad data cost the industry roughly **US$1.85 trillion in 2020** and explained 14% of all rework that year. “Bad data” means exactly that: information that is incomplete, inaccessible, inconsistent or late. > A model doesn't guess what's missing. It makes it visible, which is all you need to be able to ask about it in time. ## How to start without overbuilding You don't have to model the entire project in detail from day one. The order that works best is this: - **The commercial model first.** Facade, common areas and the unit types that carry the most sales weight. It pays for itself through the sales cycle. - **Then the technical depth** on the same file: MEP, structure and the critical coordination points. - **And finally, keep it alive.** Update it with the real changes so it works as a reference at handover and in after-sales. That's the logic behind every [digital twin](https://inviewd.com/en/gemelo-digital.html) we build: start where the investment comes back and grow from there. To see how it would apply to your case, take a look at [the full range of solutions](https://inviewd.com/en/soluciones.html) or [get in touch](https://inviewd.com/en/contact.html). ## Sources [McKinsey — Imagining construction’s digital future](https://www.mckinsey.com/capabilities/operations/our-insights/imagining-constructions-digital-future) · [Construction Industry Institute — Costs of Quality Deviations](https://www.construction-institute.org/costs-of-quality-deviations-in-design-and-construction) · [Autodesk + FMI — Harnessing the Data Advantage in Construction](https://adsknews.autodesk.com/en/pressrelease/study-from-autodesk-and-fmi-finds-better-data-strategies-could-save-the-global-construction-industry-1-85-trillion/) ## Keep reading - [Deciding late is expensive: digital twins and decision time](https://inviewd.com/en/gemelo-digital-velocidad-decision-costos.html) - [One model, every sales asset](https://inviewd.com/en/un-modelo-todas-las-piezas-de-venta.html) - [The 3D asset that doesn't depreciate when you hand over the building](https://inviewd.com/en/gemelo-digital-activo-operacion-edificio.html) See the service: [The digital twin of your project](https://inviewd.com/en/gemelo-digital.html) ## How to build a 100% digital sales room A 7-step roadmap for selling off-plan projects, with data from Camacol and McKinsey and the case of a project sold 100% virtually. ### Want to see this on your project? Book a free demo and we'll show you a real virtual sales room, working. --- Inviewd S.A.S. — virtual sales rooms, interactive 3D models and real-time 3D experiences for real estate. Bucaramanga, Santander, Colombia. - HTML version: https://inviewd.com/en/gemelo-digital-proyectos-pequenos-medianos-grandes.html - Agent guide (when to use Inviewd): https://inviewd.com/llms.txt - Site map: https://inviewd.com/sitemap.xml - Contact: contact@inviewd.com | WhatsApp +57 318 258 3664 | https://inviewd.com/en/contact.html