IN Brief:
- Atheni Strategy has been awarded £231,000 for workplace AI training covering 140 people across six Barnsley manufacturing, engineering, and construction businesses.
- The training will use company documents and trade-specific context to address quotations, tender responses, and safety paperwork, subject to human checks.
- The award is one of four Barnsley Tech Town projects receiving a combined £810,591 through the AI Upskilling Challenge Fund.
Atheni has secured £231,000 to deliver practical artificial intelligence training for 140 workers at six manufacturing, engineering, and construction businesses in Barnsley. Most participants will be aged 40 or over. The award, confirmed on 3 November, forms part of the government’s AI Upskilling Challenge Fund under the Barnsley Tech Town initiative.
Training will be shaped around each employer’s own documents and shared trade context, with quotations, tender responses, and safety paperwork identified as intended applications. The participating businesses have not been named publicly, and the proportion of construction workers within the 140 places has not been specified. The project therefore covers industrial work across three related sectors rather than a programme solely for construction operatives.
Quotations depend on accurate information about scope, quantities, rates, exclusions, and delivery programmes, often taken from separate drawings, specifications, and supplier records. In the training envisaged for Barnsley, employees could learn to use AI to organise or retrieve material before preparing a response, but commercial estimates would still need checking against the latest project documents. Any estimate prepared using those records still requires a commercial review before it forms part of a customer quotation.
Tender submissions place similar demands on information control. Previous method statements, evidence of completed projects, and descriptions of company capability may help shape a response, but they cannot be copied indiscriminately into a new bid. Contract-specific requirements, qualifications, and supporting evidence have to be checked by the people responsible for the tender. The use of familiar company records gives the planned training a concrete starting point without establishing which software or document-management systems each employer will use.
Safety paperwork brings a further constraint because an inaccurate assessment can affect decisions made on a live site. Under the Construction (Design and Management) Regulations 2015, contractors and other dutyholders retain their respective responsibilities for planning and managing work safely. An AI-generated draft could be reviewed against an employer’s existing procedures, but it cannot establish the hazards, site conditions, or control measures for a particular activity without competent human assessment. Nothing in the funding award changes those duties.
Atheni’s approach is intended to use the experience employees already have in their trades, rather than substitute general software demonstrations for workplace tasks. Louise Ballard, the company’s co-founder, said: “Nobody goes to work to copy and paste.” She linked the technology’s possible role in repetitive tasks to the judgement of people who understand the work, whether they are based in an office or on site. The training is structured around workers already familiar with the documents and decisions involved.
The £231,000 allocation is part of £810,591 awarded to four delivery partners in Barnsley. Optimise Cyber Solutions will receive £200,000 to help 20 small businesses adopt AI, working with Abbeydale Training; Fossu will receive £195,188 for programmes involving young people and women returning to employment; and Barnsley College has been awarded £184,403 for mobile training in healthcare and community settings. Those projects have separate delivery groups and should not be counted as part of Atheni’s 140-worker target.
Barnsley was named the first government-backed Tech Town in February 2026, with local employers, education providers, and public services involved in testing technology adoption. The industrial training programme puts construction alongside manufacturing and engineering, whose paperwork may share common features but whose operational controls differ. A contractor’s tender files, a manufacturer’s production documents, and an engineering firm’s technical records each require the user to identify an appropriate source and check its currency before relying on an answer.
Document access is a practical issue for any employer using tools of this kind. Revisions to specifications and drawings can circulate across shared drives, estimating systems, and project platforms, while pricing and client information may be commercially sensitive. Companies will need to determine which records staff may use with approved AI tools and who checks the resulting outputs. The public description of Atheni’s award does not specify the six companies’ existing systems or information-handling policies.
The training may ultimately be assessed through staff participation and changes in how routine work is carried out, but the announced target establishes capacity rather than completed attendance. There are no published measurements of time saved on tenders, fewer documentation errors, or improvements in site safety arising from this funded work. Its initial value lies in testing practical applications with workers already responsible for the documents and decisions concerned.
The six participating employers will provide the setting in which Atheni delivers the funded programme to 140 people. Further information about the training timetable, the tools adopted, and any measured results will be needed to establish what changes in day-to-day operations. The confirmed commitment is £231,000 for targeted industrial AI training, with quotations, tenders, and safety documentation among the named tasks.
