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AI-QS: simplified analytics for critical decision-making using digital twins.

Optimize the outcomes of your digital journeys, by proactively managing your construction projects, whilst driving impactful 'carbon-friendly' business benefits, across the built environment.

Consolidate multiple datasets, from different sources, into a single reporting platform

The AI-QS ‘Digital Twin’ platform directly addresses the challenge of ‘siloed data’ by creating a unified [common data] environment, where all relevant project information can be integrated, analysed, and (if need be, visualized in 5D and) in ‘real time’.

Here’s how our solution helps clients and project owners [and their design teams]:

Project Data Integration
We deconstruct data silo’s by consolidating data from different sources, into a single, accessible dashboard; whether from construction equipment, loT sensors, 3rd party financial systems, or workforce management / supply chain platforms. Our approach to information management eliminates the need for ‘manual’ data consolidation and ultimately, reduces inconsistencies of ‘relevant’ data inputs.

Real-Time Analytics
With all your project data centralized, the platform provides ‘real-time’ analytics that connect previously isolated datasets. This enhances 5D visibility and allows clients [and their design teams] to make informed decisions, based on comprehensive insights, rather than fragmented and in many cases unstructured information.

Enhanced Project Collaboration
By connecting previously siloed data, our platform fosters better engagement and collaboration, across departments and/or stakeholders; fostering an ‘eco-system’ of connected digital twins. Project teams, managers, and other stakeholders can access the same up-to-date information, at their own convenience.

Predictive Insights
The Al-QS platform goes beyond simple data integration. We use machine learning algorithms to uncover patterns and predict outcomes based on the unified data, helping clients anticipate issues, optimize resources, and improve overall performance.

Unlock a unified, 360-degree view of your portfolio, with AI-QS

By bridging the gap between disconnected data sources, the AI-QS Digital Twin platform offers clients a cohesive, 360-degree view of their operations, making it easier to make critical decisions, in a prioritised manner, whilst driving further efficiencies.

Challenges faced by Our Clients

Construction projects often struggle with managing ‘fragmented & siloed’ data, leading to challenges that impact efficiency, decision-making, and value-based outcomes. The cost management profession has struggled to manage this project‘industry norm’ but the AI-QS platform aims to improves this ‘traditional’ workflow. We address this key and critical issue by focussing on the following ‘pain points’:

Data Management and Record-keeping
Clients (mostly public sector) often have outdated, fragmented IT systems for tracking property assets, maintenance schedules, and compliance information. This can lead to inefficiencies, missed inspections, and challenges in meeting regulatory requirements.

Regulatory Compliance
Clients (again, mostly public sector) have an array of regulatory compliance issues covered by an array of regulations, including health & safety, and occupancy management, across their portfolio. Managing these assets, across multiple software systems can be a major administrative burden.

Sustainability and Energy Efficiency
The global decarbonisation agenda has generated an increasingly complex challenge regarding the ‘real-time’ visibility of risk management [time, cost and quality]. The upgrading (retrofitting) of property assets to meet sustainability goals that also reduce energy consumption, is both a financial and logistical challenge.

Technology Adoption
Implementing a strategy for technology adoption, perpetually wrestles with the ‘cultural fit’ of the organisation and their inherent supply chain(s), which often stifles a quicker return on investment (ROI). The wider challenge of ensuring ‘agility and upkeep’ of technical knowledge, is something that is only likely to get worse with the exponential creation (and adoption) of AI tools and resources.


The increasing use of ‘generative AI over the whole-life cycle of the construction process will significantly reduce the likelihood of non-compliant or incomplete building specifications, the age-old subject of which can prove extremely costly and contentious.

Workforce
Person-centric skills development remains an increasing concern and a general lack of digital maturity & proficiency, is fast becoming a major hindrance for project owners. Detailed ‘project-specific’ knowledge and other critical information (if inadequately recorded in a digital format) is often lost when key members of staff leave the organisation, which in turn negatively impacts continuity, efficiency, transparency and in many cases, regulatory accountability.

Analytics that tell you more in less time

With a focus on the financial viability, our team articulate ‘real-time’ perspectives in the form of a single monthly report produced and authored by a Chartered Surveyor. Our reports can are tailored to cut through complex data, distilling to a focus that offers business critical insights (that in turn, create value for end-users & customers).

Project Status Overview
Our platform offers a ‘helicopter’ view through the eyes of a Chartered Quantity Surveyor which can offer an array of 5D computations / project level metrics

Risk Management
Identifying with ‘current’ potential risks [unknown known / known unknowns], mitigation strategies, and peripheral risk levels, for each project, is a key output with AI-QS.

Cost Tracking
By federating the entire design process, from inception, into and beyond, the construction phase, AI-QS monitors allocated budget(s) versus expenditure, and amidst current or potential ‘cost conflict’ with real-time visibility.

Quality Control
In accordance with standard / internal or defined processes, the AI-QS platform can display: quality assurance reports, inspections, and other ‘issue’ pertaining to defect(s) management.

Sustainability Metrics
Generative design is increasingly being used in the early stages of a project [i.e. RIBA Stage 0-1] to optimise and optioneer, design considerations for carbon measurement. As the custodian of the project budget, Cost Managers, need to focus early-stage solutions that endorse and monitor viability.

Compliance
In the UK, the recent enactment of the Gateway process has led to the ‘legal’ requirement for project owners to produce (and evidence) a ‘Golden Thread’ of progress; which will often cite and include, site-based inspections reports, and other compliance milestones, achieved over the entire life of the project [Gateway 1 to Gateway 3].

Programme Management
With a focus on critical-path milestones, and/or potential delays, generative scheduling ‘an evolving’ parametric approach that deploys the use of algorithms to analyse and optioneer various scenarios or (re)scheduling opportunities. As a key influencer of the projects ‘out-turn’ cost, we focus on risks during the entire project life cycle.

Stakeholder Communication
Keeping all stakeholders engaged and updated in ‘real-time’through structured meetings, decisions, and approvals.

How do we use AI responsibly?

As an approved RICS Tech Partner, we understand the crossroads that the global surveying profession finds itself in, today.

By using data and information in both an intelligent and ethical way, we are keen to offer up a new, ‘digitally enabled’ business solutions, that speaks to and resonates with the ‘traditional’ professional conduct, duly expected of any practicing Chartered Quantity Surveyor.


As you can observe in this statement by RICS [posted 15th November 2024] a soon to be issued ‘new professional standard’ will focus on the following areas:


  • How the use of AI, technology and data should be referenced in terms of engagement

  • Transparency with clients

  • Human oversight and professional judgement

  • Issues around the reliability of outputs

  • Ensuring proper consideration and allocation of liability and risk

  • Data quality, ownership, copyright, privacy, commercial confidentiality and intellectual property rights and

  • Governance and ethical considerations.

See AI-QS Digital Twin Platform in action

Dive into specific use-cases, watch real-world applications of our technology, and understand how AI-QS can adapt to serve a wide array of industries and digital challenges.