There is no shortage of conversation about what AI might eventually mean for construction. For business leaders trying to decide what to do now, that can sometimes create more noise than clarity.
The more useful question is much simpler: where could AI solve a genuine problem within your construction business?
Rather than starting with the technology, start by looking at the work people are already doing. Where are skilled employees spending time searching for information, reading documents, creating summaries or completing repetitive administrative tasks?
A useful starting point is:
High repetition + high administration + lots of information + clear human oversight = a strong AI candidate.
That doesn’t mean every process matching those criteria should immediately be handed to AI. It means those processes are worth investigating.
How Should Construction Companies Identify AI Opportunities?
The first mistake organisations can make is starting with the AI product rather than the problem.
Instead, look across the business and ask some practical questions.
- Where do employees repeatedly search for information?
- Which reports are produced every week or month?
- Where are large documents routinely reviewed and summarised?
- Which processes involve people copying, classifying or reorganising information before someone else can use it?
- Where do experienced employees spend time answering similar internal questions?
These are more useful questions than simply asking departments where they want AI.
Potential processes may involve:
- Repetitive administration
- Large volumes of documents
- Repeated searching for information
- Recurring reports and summaries
- Document classification
- Movement of information between people and systems
Once those activities have been identified, the next question is whether AI is actually the right solution. Sometimes it won’t be.
Finding Project Information Faster
Construction businesses generate significant amounts of information.
Project documentation, meeting records, correspondence, policies, procedures and other internal knowledge can sit across Microsoft 365, SharePoint, Teams and specialist platforms.
The challenge isn’t necessarily capturing more information. It’s making what already exists easier to use.
Microsoft Copilot and other appropriately configured AI capabilities can potentially help employees interrogate organisational information more naturally rather than manually searching through large collections of documents.
There is an important dependency, though. Organisations still need good information management. Permissions, document structures, data quality and governance don’t become less important because AI has been introduced. Arguably, they become more important.
AI can make well-managed organisational knowledge much more accessible. It shouldn’t be used to compensate for an information environment nobody understands.
Helping Tender And Bid Teams Work With Information
Tendering is another information-intensive process where AI potentially has a role.
Teams may need to review lengthy requirements, identify relevant experience, locate existing materials and organise considerable volumes of supporting information.
AI can potentially assist employees with activities such as:
- Summarising source documents
- Identifying key requirements
- Finding potentially relevant internal material
- Comparing information
- Structuring initial drafts
But the emphasis should remain on assistance.
Commercial propositions, contractual positions and claims about experience require knowledgeable human review.
The opportunity is to reduce the time skilled people spend finding and structuring information, not to remove skilled people from the process.
Making Internal Knowledge Easier To Access
As construction companies grow, internal knowledge becomes increasingly valuable and increasingly difficult to navigate.
Someone within the business may have solved a very similar project problem three years ago. The challenge is knowing that the experience exists and finding the relevant information.
This is where the combination of Microsoft 365, SharePoint and Microsoft AI can become particularly interesting.
A structured SharePoint environment can provide the information foundation, while appropriately deployed AI capabilities can help users interact with organisational knowledge.
The opportunity is particularly relevant where useful experience is distributed across teams and documents rather than held within a formal knowledge-management system.
Routine Reporting And Project Summaries
Reporting is another area worth investigating.
Construction professionals can spend considerable amounts of time turning meetings, project information and operational activity into updates for other people.
AI can help with activities such as:
- Meeting summaries
- Action identification
- Recurring project updates
- Initial report structures
- Summaries of lengthy information
The objective isn’t to ask AI to make project decisions.
It is to reduce the time employees spend preparing and structuring information so they have more time to analyse it.
That distinction matters: Use AI to support professional judgement, not remove appropriate professional judgement.
Document-Heavy Processes
Construction is inevitably document-intensive.
Documents move through people, projects, sites, clients and subcontractors. There may consequently be opportunities to use AI to classify, extract or summarise information before another action takes place.
This is also where Microsoft Power Platform becomes relevant. Understanding a document may only be the first step. Information might then need to be routed to a particular employee, recorded against a process, sent for approval or used to trigger another workflow.
AI and automation can therefore work together.
Sometimes You Don’t Need AI At All
An AI strategy also needs to recognise when AI isn’t the answer.
Suppose a process looks like this: When an event happens, collect defined information, request approval, update a system and notify a team. There isn’t necessarily an AI problem there. There is an automation opportunity.
Microsoft Power Automate may be perfectly capable of managing the workflow using predictable rules. Compare that with an employee needing to review a substantial document, identify relevant information and prepare a concise summary. That is much closer to the type of information-heavy task where AI may assist.
Using the simplest technology appropriate to the requirement is often more valuable than forcing AI into every process.
Which Construction Process Should You Start With?
The biggest AI opportunity isn’t always the best first AI project.
Initial projects should combine a useful business outcome with manageable complexity.
Consider four areas.
Business Value
Would improving the process deliver a meaningful benefit?
Repetition
Does the activity happen frequently enough for individual improvements to accumulate into a worthwhile saving?
Information Availability
Is the information required by the process accessible, appropriately managed and of sufficient quality?
Implementation Practicality
Can the organisation deploy, govern and measure the solution without introducing disproportionate complexity?
Starting with something relatively focused also gives the organisation a chance to understand how employees actually use AI before moving onto more ambitious applications.
From AI Interest To A Practical Opportunity
Construction businesses don’t need to begin with a huge programme labelled “AI transformation”. They need to identify real problems where AI has a reason to exist.
The right answer might be Microsoft Copilot. It might be AI integrated into an existing Microsoft application. It might involve Power Platform and automation.
Or the exercise may reveal that better information management needs to come first. That’s still a valuable outcome.
Because successful AI adoption isn’t about finding as many places as possible to introduce AI. It’s about finding the places where AI genuinely improves the way the construction business works.
How Can AI Help Construction Companies? Apply It Where It Makes Business Sense
The relevant question for construction leaders is not whether AI will influence the industry.
It’s where the technology can produce sufficient value to justify changing an existing process.
Start with the administrative friction. Understand the information involved. Establish what needs to remain under human control. Then determine whether AI, automation or a combination of both offers the most sensible route forward.
As part of Akita’s Construction Technology Review, we can help identify practical opportunities for Microsoft AI and automation within the wider technology environment:
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