Article 6: Technology in Estimating
Introduction
The previous five articles in this series covered what estimating is, the types of estimates available, how client-side cost planning works, how contractors price tenders, and the factors that make estimates go up or down. All of that work — the measurement, the rate-building, the benchmarking — has historically been done with a scale rule, a calculator, and a spreadsheet. For many UK practices, it still is.
But the tools are changing. Digital takeoff software can measure a set of drawings in hours rather than days. BIM models can generate quantity schedules at the click of a button. AI is beginning to identify rooms, walls, and finishes from uploaded PDFs without a single manual annotation. Cloud platforms allow a QS in Salford and a contractor in Birmingham to work on the same cost model simultaneously.
This article — the final instalment in the estimating series — examines the technology that supports modern estimating practice. It covers the tools that are established, the tools that are emerging, and the tools that are mostly hype. Throughout, Project Parkside is used to show what a digital workflow looks like in practice — and how it compares to the manual methods that many practitioners still rely on.
Traditional vs Digital Measurement
For decades, quantity takeoff meant printing drawings to scale, placing a scale rule against the paper, and recording dimensions by hand on dimension paper or in a notebook. The process was slow, entirely manual, and dependent on one critical requirement: that the drawings were printed at exactly the right scale. If someone printed a 1:50 drawing using “scale to fit” rather than 1:1, every measurement taken from that sheet was wrong.
The shift to digital measurement began in the mid-2010s as PDF drawings became standard and on-screen takeoff tools matured. Instead of measuring from paper, the QS now measures directly on-screen — clicking points on a PDF to define areas, lengths, and counts. The software records every measurement, links it to formulas, and updates automatically when dimensions change.
The time savings are significant and well-documented. A typical project that takes 25 hours to measure manually can be completed in approximately 8 hours digitally — a 68% reduction. For mid-sized projects, the saving can reach 85%. Across a year of 100 projects, that translates to roughly 1,700 hours saved per estimator.
| Project Scale | Manual Time | Digital Time | Time Saving |
|---|---|---|---|
| Small projects | Multiple hours | Minutes | 50%+ |
| Mid-sized projects | 15–20 hours | 2–3 hours | 85%+ |
| Typical project (benchmark) | 25 hours | ~8 hours | 68% |
| Large/complex projects | Days | Hours | 50%+ |
Digital measurement also reduces errors. Manual methods are vulnerable to transcription mistakes, misread scales, and arithmetic slips. Over 88% of construction spreadsheets are estimated to contain errors — a statistic that should give every estimator pause. Digital tools do not eliminate errors entirely, but they remove the most common ones: scale misreads, forgotten multiplications, and copy-paste mistakes in spreadsheets.
Digital Takeoff Tools
The UK market for digital takeoff software has consolidated around three main platforms, each serving a different segment of the profession. The choice depends on practice size, budget, and how deeply the firm works with BIM.
CostX
CostX, developed by RIB Software (formerly Exactal), is the dominant platform among larger UK QS practices. It combines 2D PDF measurement with 3D BIM quantity extraction, integrates directly with cost databases, and generates quantity schedules aligned to NRM structures. An estimated 30–40% of mid-to-large UK QS firms use CostX. The platform is powerful but carries a steep learning curve and significant cost — enterprise pricing typically runs to thousands per year, with setup and training on top. For a sole practitioner or small team, it is often out of reach.
Bluebeam Revu
Bluebeam Revu is a PDF-centric tool trusted by over a million AEC professionals globally. It is not primarily a takeoff tool — its strengths lie in markup, annotation, and cloud-based collaboration — but its measurement functions (area, linear, count) make it a capable option for practices that work mainly with PDF drawings. Pricing is more accessible: the Complete tier, which includes takeoff and calculation tools, costs approximately £440 per user per year. Bluebeam is widely used across the UK construction sector, often alongside rather than instead of specialist estimating software.
PlanSwift
PlanSwift is a dedicated takeoff tool that offers a good balance of functionality and affordability. At approximately £1,749 per year, it sits between Bluebeam’s lower cost and CostX’s premium pricing. It handles on-screen measurement from PDFs well, exports to Excel, and has a gentle learning curve. PlanSwift is growing in UK adoption, particularly among small to mid-sized contractors and estimating teams, though it lacks CostX’s BIM capabilities and NRM alignment.
How They Compare
| Feature | CostX | Bluebeam Revu | PlanSwift |
|---|---|---|---|
| Primary use | QS / cost planning | Collaboration / markup | Takeoff / estimating |
| 2D takeoff | Yes | Yes | Yes |
| 3D / BIM support | Strong | No | No |
| NRM-aligned | Native | No | Partial (customisable) |
| Cost database integration | Yes | No | Limited |
| Collaboration | Cloud | Strong (cloud-native) | Basic |
| Annual cost per user (UK) | Custom (£5k–15k+) | £260–440 | ~£1,749 |
| Target market | Large QS firms | All construction | Small–mid contractors |
| Learning curve | Steep | Moderate | Gentle |
The pattern of adoption in 2025–26 is clear: large QS practices (50+ staff) overwhelmingly use CostX, often with Bluebeam for PDF collaboration alongside. Mid-market firms are split between CostX and the more affordable alternatives. Small practices and independent estimators tend towards PlanSwift or Bluebeam, with heavy Excel reliance for the rate-building and cost compilation that follows the takeoff.
BIM and Quantity Extraction
Building Information Modelling has moved from aspiration to requirement for much of UK construction. Since April 2016, BIM Level 2 has been mandatory for centrally procured public sector projects, and from 2025 the requirement extends to all public sector projects worth over £5 million. Over 70% of built environment professionals now report using BIM, though adoption varies dramatically by firm size — above 90% for large contractors and designers, but only 30–50% for smaller firms.
For the QS, BIM’s value lies in automated quantity extraction. A well-maintained BIM model at Level of Development (LOD) 300 — precise geometry with specific material properties defined — can generate quantity schedules automatically. Walls are measured by area and type, doors counted by category, floor finishes totalled by material. What takes 20–25 hours manually can be extracted in under an hour, with configuration and validation adding a few hours on top.
Level of Development and QS Application
| LOD | Description | QS Application |
|---|---|---|
| LOD 100 — Conceptual | Schematic 3D form; generic elements | Feasibility / OOM estimates only |
| LOD 200 — Approximate | Approximate size, shape, location | Initial cost estimation (CP1 stage) |
| LOD 300 — Precise | Exact geometry; specific properties | Detailed cost planning (CP2/CP3) |
| LOD 350 — Detailed | Assembly details, connections, materials | Contractor estimating |
| LOD 400 — Fabrication | Complete fabrication information | Fabrication and construction |
The critical limitation is model quality. Automated quantity extraction is only as reliable as the BIM model it reads from. If the architect has not maintained the model to the expected LOD, or if elements are poorly categorised, the extracted quantities will be wrong. The QS has limited control over this — the model author is responsible for LOD, and the QS must verify what they receive before relying on automated schedules. The principle is simple: garbage in, garbage out.
IFC and Open BIM Workflow
The Industry Foundation Classes (IFC) standard enables BIM model data to be shared across different software platforms. In practice, this means the architect exports their Revit model as an IFC file, the structural engineer does the same, and the QS receives all three discipline models (architectural, structural, MEP) in a common format. Quantity extraction tools can parse the IFC data to generate schedules by category — walls, doors, windows, structural elements — which the QS then maps to NRM cost categories.
Recent improvements in Revit’s IFC export workflow (2025–26 versions) have made the mapping process more reliable, with category assignment now integrated into the main export interface rather than requiring external configuration files. This matters because cleaner IFC exports mean more reliable automated quantity extraction downstream.
BIM Coordination Tools
Two tools are particularly relevant to BIM-based QS workflows. Navisworks (Autodesk) is the industry standard for model coordination and clash detection, with quantification workbooks for material takeoffs and support for 4D (time) and 5D (cost) modelling. Solibri Model Checker (Nemetschek) focuses on model validation and quality checking — useful for verifying model accuracy before the QS attempts quantity extraction. Neither is a dedicated cost management tool, but both play a role in ensuring the data that feeds into cost estimates is reliable.
Estimating Software Platforms
Beyond simple takeoff measurement, dedicated estimating platforms integrate quantity extraction, rate libraries, resource-based cost breakdowns, and report generation into unified systems designed specifically for QS workflow.
Causeway CATO
Causeway CATO is a UK-founded platform and one of the leading players in the UK QS market. It offers modular functionality — digital takeoff, automated measurement, NRM-aligned cost templates, multi-user collaboration, and professional report generation — allowing practices to adopt gradually rather than committing to the full suite at once. CATO is particularly strong in UK public sector work (local authorities, NHS, education) and is estimated to be used by 20–30% of mid-to-large QS practices. The modular approach means a small firm might start with just the takeoff module while keeping cost management in Excel, then expand as the business grows.
Other Platforms
Buildsoft Cubit Pro, an Australian platform with a growing UK presence, offers 3D BIM-native takeoff and estimating with a modern interface. It is gaining ground in the mid-market but has a smaller UK user base and less integration with BCIS than its competitors. Conquest, a UK-based contractor estimating tool, serves perhaps 5–10% of the contractor estimating market but is less common in professional QS practices.
| Platform | Origin | Primary User | NRM Alignment | UK Adoption |
|---|---|---|---|---|
| CostX | Europe (RIB) | Large QS firms | Native (strong) | 30–40% of large firms |
| Causeway CATO | UK | Mid-large QS firms | Native (strong) | 20–30% of mid firms |
| Buildsoft Cubit | Australia | Mid QS / contractors | Customisable | 10–15% (growing) |
| Conquest | UK | Contractors | Contractor-focused | 5–10% of contractors |
The common barrier across all platforms is cost. Annual subscription for a mid-sized firm typically runs £10,000–40,000 including training and support. For a small practice doing 20–30 projects a year, that cost must be justified against the time savings — and for many, Excel remains the cheaper and more familiar option.
Cost Databases and Benchmarking
Every estimate needs rates. The question is where those rates come from — and how current they are.
BCIS Online
The Building Cost Information Service (BCIS), operated by RICS, is the UK’s leading independent source of construction cost data. It provides cost rates by building element (NRM-aligned), regional adjustment factors, base date adjustments, and rate breakdowns into labour, material, plant, and overheads. An estimated 70%+ of UK QS practices subscribe. In 2025, BCIS moved to a digital-only model, discontinuing physical price books entirely — all data is now accessed via BCIS Online, searchable and exportable, with integration into platforms like CostX.
Spon’s Price Books
Spon’s Architects’ and Builders’ Price Book, compiled by AECOM, remains a respected alternative. It offers similar coverage to BCIS with greater detail in some specialist areas (particularly mechanical and electrical). Spon’s is still available in print but is shifting towards digital editions. Some practices use both BCIS and Spon’s to triangulate costs — a sensible approach when published data is 6–12 months old by the time it reaches the estimator.
In-House Cost Databases
The most accurate rates often come from a firm’s own historical project data. Large QS practices and contractors maintain proprietary cost databases built from actual tender rates and final account costs, indexed by location, date, complexity, and contract type. These reflect the firm’s real experience rather than generic benchmarks. Modern estimating platforms (CostX, CATO) include cost library management, allowing all staff to access the same current rates with version control preventing accidental use of outdated data. The challenge for smaller firms is maintaining the discipline to capture and update this data consistently — staff turnover can result in years of accumulated knowledge walking out the door.
The Shift to Real-Time Data
Traditional annual price books are increasingly being supplemented by real-time cost data feeds — live material pricing from procurement platforms, labour cost indices updated monthly rather than annually, and supplier pricing linked directly to estimating software. This is particularly important in the post-2020 environment, where the inflation volatility of recent years has made year-old benchmarks unreliable. The direction of travel is clear: from snapshot data (annual price book) to continuous data (real-time feeds).
AI and Machine Learning: What Is Real and What Is Hype
AI is the most discussed topic in construction technology, and estimating is no exception. The question practitioners need to answer is simple: what actually works today, and what is still a sales pitch?
What Works: AI-Assisted Quantity Extraction
The most mature AI application in estimating is automated quantity takeoff from drawings. Platforms like Kreo use computer vision to identify building elements — rooms, walls, finishes, doors, windows — directly from uploaded PDF drawings. The process works without manual annotation: the user uploads a drawing, the AI analyses the image, generates a takeoff list with quantities, and the user reviews and makes point-and-click corrections where needed. The AI learns from those corrections and improves for similar drawings.
The time savings are real. Analysis that takes hours or days manually can be completed in minutes. Beam AI, another emerging platform, reports saving 15–20 hours per week per estimator. The tools work best with clear, standardised drawings — apartment blocks, warehouses, schools — and struggle more with poor-quality PDFs, hand-drawn amendments, or highly complex custom designs. Current UK adoption is estimated at 5–10% of practices, but this is growing.
What Is Emerging: Predictive Cost Modelling
Machine learning models trained on historical project cost data can predict project costs based on characteristics like size, type, location, and complexity. The potential applications are valuable: early-stage feasibility estimates before detailed design, sanity-checking detailed estimates by detecting outliers, and identifying which cost drivers have the greatest impact on a particular project type. However, deployment in UK practices remains limited. The models require large, clean historical datasets that most SME practices simply do not have, and there is a fundamental professional liability concern: if an AI-generated estimate is wrong, the QS who signed it off is still responsible.
What Is Mostly Hype (For Now)
Several AI capabilities are regularly promoted but not yet practical for everyday use. Fully autonomous estimating — uploading a drawing and receiving a complete estimate with no human intervention — remains years away. NLP-based specification parsing (automatically extracting cost-relevant information from written specifications) is at the research and prototype stage. Generative design with real-time cost feedback is an exciting concept but lacks mature commercial tools.
The Professional Liability Question
This matters more than many technology vendors acknowledge. QS professional indemnity insurance requires human judgement in cost decisions. An AI model that produces a black-box estimate — one where the reasoning cannot be explained or audited — creates a liability problem. The current best practice, and the one likely to persist for years, is to treat AI as an assist tool: the technology does the heavy lifting, but the professional validates before committing.
Spreadsheets: Still the Backbone
Despite everything described above, Excel remains the primary cost management tool for UK QS practices. This is not ignorance or resistance to change — it reflects genuine advantages that dedicated software has not fully overcome.
Excel is universal: every construction professional can open and read a spreadsheet. It is flexible: any cost model, NRM version, or client-specific format can be built from scratch. It is cheap: an Office 365 subscription costs roughly £5–10 per month, compared to hundreds or thousands for dedicated software. Clients expect estimates in Excel format. And for a one-off project, a new spreadsheet can be operational in hours, while dedicated software requires weeks of setup and training.
The risks, however, are serious. The statistic that over 88% of construction spreadsheets contain errors is widely cited and should concern every practitioner. Common problems include incorrect cell references, missing formulas, copy-paste mistakes, and hardcoded numbers buried in formula chains. Version control is another persistent issue — the “final_final_revised_v3” filename is a running joke in the industry, but the consequences of decisions made on outdated numbers are not funny.
Best Practice for Spreadsheet Estimating
For practices that will continue using Excel — which is most of them — the following disciplines significantly reduce risk. Use standardised templates rather than starting from scratch each time. Separate takeoff quantities, rates, and summaries onto different tabs. Use consistent colour coding to distinguish data entry cells from calculated cells. Master the difference between absolute ($A$1) and relative (A1) cell references. Use data validation to restrict entries to predefined options. Document all assumptions in a dedicated notes section. Adopt a strict file naming convention with date and version number. And use cloud storage (OneDrive or Google Drive) for automatic backup and shared editing rather than emailing copies back and forth.
When to Move Beyond Spreadsheets
Dedicated software becomes justified when a practice estimates more than 50 projects a year with similar project types, when consistency across a team matters more than individual flexibility, when audit trails and accountability are required, or when cost estimates need to integrate with construction schedules and financial systems. The sensible implementation path for an SME practice is gradual: start with a digital takeoff tool (keeping cost management in Excel), then build an in-house cost library, then adopt an integrated platform once the team is ready. Avoid switching tools mid-project.
Cloud Collaboration
Cloud-based platforms are transforming how QS teams share information, particularly on multi-disciplinary projects and for firms with remote or distributed teams.
Autodesk Construction Cloud (ACC) is growing rapidly among firms that work with Revit and BIM, offering native integration with BIM models, design collaboration, and document management. Procore is the most widely used construction management platform among UK contractors (estimated 40–50% adoption), with strong field and mobile capabilities but less BIM integration. Oracle Aconex serves the enterprise end — large infrastructure and civils projects with formal change control requirements, particularly on NEC and FIDIC contracts.
| Practice Profile | Recommended Platform | Reasoning |
|---|---|---|
| Large QS firm (50+ staff), BIM-led | Autodesk Construction Cloud | Native BIM integration; design collaboration |
| Medium QS firm (10–50), mixed projects | Procore or ACC | Procore more universal; ACC better for BIM |
| Small QS practice (<10), Excel-heavy | OneDrive / Google Drive | Cloud collaboration not yet justified at scale |
| Contractor-focused | Procore | Strongest contractor workflows |
| Large infrastructure / civils | Oracle Aconex | Document control; formal change management |
The advantages of cloud collaboration — real-time multi-user access, version control, audit trails, and mobile field access — are well-established. The challenges are equally real: learning curves, change management resistance from staff used to email workflows, vendor lock-in, and cost. For a small QS practice, OneDrive or Google Drive for shared project folders delivers most of the benefit at negligible cost. Enterprise platforms are for firms with the scale to justify them.
Project Parkside: Digital vs Manual Workflow
To make the technology comparison concrete, here is how Project Parkside — the 24-apartment, 4-storey residential development in Salford (2,000 m² GIFA) — would be estimated using a fully digital workflow versus a fully manual one, at the CP2 stage of detailed design.
Phase 1: Quantity Takeoff
The architect provides a Revit model at LOD 300 — precise geometry with specific materials defined. In the manual approach, the QS prints 2D floor plans and elevations to scale, verifies the scale with a scale rule, measures every element by hand, and records dimensions in a spreadsheet. Estimated time: 20–25 hours. In the digital approach, the QS imports the Revit model (or IFC export) into CostX, configures the mapping of Revit categories to NRM elements, runs the automated extraction, and validates the output against the model. Estimated time: 5.5 hours — a 76% saving.
Phase 2: Rate Application
With quantities established, the QS applies cost rates. Manually, this means searching BCIS Online or Spon’s for each line item, adjusting for location and base date, entering the rate in a spreadsheet, and calculating extended costs. For Parkside’s 50–100 line items at roughly 10 minutes each, this takes 8–15 hours. Digitally, CostX connects to BCIS, applies location and date adjustments automatically, and the QS reviews and overrides where firm-specific rates are more appropriate. Time: 2.5–4.5 hours — an 80% saving.
Phase 3: Report Generation
Manually, the QS copies the estimate into a client-facing template, adjusts formatting, creates summary pages, quality-checks the formulas, and converts to PDF. Time: 6 hours. Digitally, CostX generates a professional report from a template — summary page, elemental breakdown, rate schedule, comparison to previous estimates — in minutes. The QS reviews and makes corrections. Time: 1–1.5 hours.
Full Workflow Comparison
| Activity | Manual (Hours) | Digital (Hours) | Time Saving |
|---|---|---|---|
| Quantity takeoff | 20–25 | 5.5 | 76% |
| Rate application | 20–24 | 3.5 | 85% |
| Report generation | 6 | 1.5 | 75% |
| Design phase total | 46–55 | 10.5 | 80% |
| Construction phase tracking (12 months) | 60–96 | 24–36 | 60% |
| Full project total | 106–151 | 34.5–46.5 | 70% |
The digital workflow saves 70–105 hours on Parkside — equivalent to 2–3 months of one QS’s full-time effort. At a loaded staff cost of £50 per hour, that is £3,500–5,250 in time savings per project. A CostX licence costs roughly £5,000–15,000 per year. The breakeven point is one to two medium-sized projects — after that, every additional project represents pure time recovered.
The caveats are important. The manual method requires no software cost and works fine with poor-quality drawings. The digital method requires a well-maintained BIM model, staff trained in the tools, and upfront investment in licences and implementation. For a sole practitioner doing five projects a year from PDF drawings, the manual method may still be the rational choice.
The Future of Estimating Technology
Looking ahead to 2025–2030, several developments are likely to reshape estimating practice.
In the near term (2025–2027), AI takeoff tools like Kreo will mature and handle more complex drawings. Real-time cost data feeds will increasingly replace annual price books. BIM quantity extraction will become the default workflow on larger projects as IFC exports improve and LOD standards tighten. Cloud-only platforms will become standard, with desktop software declining.
In the medium term (2027–2030), digital twins — BIM models that evolve into live representations of physical assets updated in real-time during construction — will enable instant cost impact analysis when designs change. Automated cost checking will flag unusual line items during estimation (a unit rate that seems wrong, a quantity inconsistent with similar projects). Generative design tools will offer real-time cost feedback: “This design option costs £50,000 more than the alternative.”
The longer-term vision includes fully autonomous estimating (upload a drawing, receive a complete estimate), lifecycle costing integrated with building maintenance data, and regulatory compliance automation. These are plausible but distant — professional liability concerns, data quality requirements, and the sheer complexity of construction mean that human QS judgement will remain essential for years to come.
The Barriers
Four barriers will slow adoption regardless of how good the technology becomes. Professional liability: if an AI-generated estimate is wrong, someone must be accountable, and insurers have not yet resolved this. Data quality: every advanced tool depends on clean, consistent input data that many practices struggle to maintain. Standardisation: despite NRM, there is no universal standard for cost categories, rate definitions, and locational adjustments across all practices. Cost: training staff, implementing systems, and migrating historical data are expensive, with ROI often taking 2–3 years — a hard sell for small practices in uncertain markets.
Practical Guidance: What to Invest In
For Small/Medium QS Practices (2–20 Staff)
The adoption path should be gradual and evidence-based, not a leap to the latest platform.
Priority 1 — Digital takeoff (immediate). Invest in PlanSwift or Bluebeam Complete. Cost: £260–1,750 per year. Training: 1–2 weeks. Expected saving: 15–30 hours per project. This is the single highest-ROI technology investment a small practice can make, breaking even on just 2–3 medium projects a year.
Priority 2 — Cost database management (6–12 months). Build a structured in-house cost library in Excel, or adopt the cost module of CostX if scaling up. Capture actual rates from every project. Stop relying solely on repeated BCIS lookups.
Priority 3 — Cloud collaboration (12–18 months). Move project folders to OneDrive or Google Drive for shared access and version control. Upgrade to Procore if doing regular contractor collaboration. This is primarily a workflow change, not a technology purchase.
Priority 4 — Integrated estimating platform (2–3 years). When the practice reaches a scale where consistency, audit trails, and automated reporting justify the cost, move to Causeway CATO or a comparable platform. Plan the transition between projects, not during one.
For Students Entering the Profession
Learn the fundamentals first. Manual quantity takeoff — scale rule measurement from drawings, dimension paper, the discipline of checking and recording — is foundational. You need to understand what the software is doing before you use it. Excel estimating is non-negotiable: formulas, templates, rate-building. Then learn a digital takeoff tool (PlanSwift or Bluebeam are accessible) and develop BIM literacy — you do not need to model in Revit, but you must understand what a BIM model contains and how to extract quantities from it. Familiarity with BCIS Online rounds out the toolkit. A graduate who can measure manually, build a cost model in Excel, run a digital takeoff, and navigate a BIM model has every skill the market demands.
Key Takeaways
Technology is transforming estimating, but the transformation is uneven. Large practices are embracing BIM, dedicated platforms, and cloud collaboration. Small practices are — rationally — sticking with Excel and adopting digital takeoff tools where the ROI is clear. AI is real but limited: automated takeoff works, predictive modelling is emerging, and fully autonomous estimating remains years away. The fundamentals have not changed: an estimate is only as good as the measurement, the rates, and the judgement behind it. Technology makes the process faster and reduces certain types of error, but it does not replace the QS who understands what the numbers mean.
For Project Parkside, a fully digital workflow saves 70–105 hours compared to manual methods — a 70% reduction that translates directly into fee savings or the capacity to take on additional work. That is the practical case for technology adoption: not the future promise, but the measurable benefit available today.
Series Summary
This article completes the six-part estimating series. Across the series, we have covered the fundamentals of estimating, the types of estimates and when to use them, elemental cost planning from the client side, contractor estimating and tender pricing, and the factors that make estimates go up and down. Project Parkside has tracked from a £3.8 million order-of-magnitude figure through to a contractor’s tender of £3,950,000 — a journey that illustrates how estimates evolve, why they differ, and what the QS does at every stage.
External Resources
BCIS Online — RICS’s official cost data platform for UK construction pricing.
RICS New Rules of Measurement (NRM) — Cost management framework referenced throughout this series.
NBS Digital Construction Report — Annual survey of BIM adoption across UK construction.
UK BIM Framework — Government guidance on BIM standards and mandates for UK construction.
Related ProQS Articles
What Does a Quantity Surveyor Do? — Overview of the QS role and the skills technology is shaping.
How to Become a Quantity Surveyor — Career entry guide including the technology skills employers expect.