Summary
- Insight has been appointed across all three lots of Scottish Enterprise’s AI Scaling Adoption Programme, funded by the Scottish Government.
- The programme will work with Scottish Enterprise, Highlands and Islands Enterprise, and South of Scotland Enterprise to support businesses across the country.
- The procurement turns a commitment in Scotland’s 2026–2031 AI strategy into practical adoption support focused on identifying, governing, and deploying useful applications.
Scottish Enterprise has appointed technology services company Insight to provide consultancy across a national AI adoption programme designed to move Scottish businesses beyond experimentation and towards deployed systems with a clearer link to productivity and commercial value.
The AI Scaling Adoption Programme is funded by the Scottish Government and delivered through Scottish Enterprise in cooperation with Highlands and Islands Enterprise and South of Scotland Enterprise. Insight has been selected across all three lots of the programme and will provide consultancy around AI strategy, use-case selection, governance, adoption, and implementation.
The programme forms part of Scotland’s 2026–2031 artificial-intelligence strategy, published in March, which commits the government to a renewed national adoption programme for small and medium-sized businesses. That strategy places business adoption alongside skills, infrastructure, data, regulation, research, and public services rather than treating AI development as an isolated technology-sector policy.
The immediate problem for participating businesses is more practical. Generative AI has lowered the cost of experimenting with software, but many organisations still struggle to move from employees informally using tools to a governed deployment connected to operational data, workflows, security controls, and measurable business outcomes.
Adoption support is moving past awareness
The first wave of business AI programmes often concentrated on workshops, basic digital skills, and demonstrations intended to show organisations what the technology could do. That remains useful for companies with little internal experience, but the spread of consumer-grade AI assistants has changed the baseline because many employees have encountered the technology before their employer develops a formal strategy for it.
The harder questions consequently arrive later. Businesses need to decide which processes warrant automation, whether available data is usable, which models or suppliers fit the task, how confidential information should be handled, where human review remains necessary, and whether a proposed project can produce enough value to justify integration and ongoing costs.
Scotland’s new programme is intended to operate in that gap. Insight says it will provide advisory and adoption support across all three procurement lots, while Scottish Enterprise’s wider remit gives the programme a route into companies that may not employ dedicated AI teams but still face competitive pressure to use automation more effectively.
The national strategy makes productivity one of the central economic arguments for intervention. Scotland, like the rest of the UK, has a long-running productivity challenge, and policymakers increasingly present AI as one technology capable of improving output without simply expanding headcount. Realising that benefit depends on changes to process and management as much as access to models.
Small companies face a different deployment problem
Large organisations can fund central AI teams, information-security functions, legal reviews, procurement specialists, and controlled pilots. Smaller businesses often have none of those capabilities in-house, even where a useful application is comparatively straightforward.
That can produce two opposite failures. Some companies avoid AI because the technology appears too risky or complicated, while others adopt readily available tools without understanding where company information is being sent, whether outputs are reliable, or what happens when a service becomes embedded in a critical process.
A publicly supported adoption programme can reduce those barriers by giving companies access to expertise before they commit substantial money to a vendor or project. The challenge is ensuring that support remains technology-neutral enough to identify where AI is unnecessary as well as where it can generate value.
The Scottish Government’s broader AI strategy recognises that adoption cannot be separated from governance. Its action plan covers skills, companies, infrastructure, semiconductors, data, and regulation, while an early commitment is to roll out a revitalised national AI adoption programme and a new AI Leadership Academy.
It is a more expansive approach than treating AI policy principally as support for startups building models. Much of the economic effect will occur inside established companies in manufacturing, energy, financial services, tourism, professional services, life sciences, food and drink, and other sectors that consume technology rather than sell it.
Consultancy has to turn into measurable deployment
The appointment of an external technology integrator introduces its own discipline. Publicly funded advisory programmes can generate strategies and pilot projects without necessarily producing lasting productivity gains, particularly if businesses lack the management capacity, data foundations, or investment budget required after the initial support finishes.
The useful measure of the Scottish programme will therefore be what participating organisations deploy and retain rather than how many attend workshops or produce AI roadmaps. Projects that reduce administrative work, accelerate engineering, improve demand forecasting, automate document processing, or support customer operations can be assessed against operating cost, time, quality, revenue, or staff capacity.
Governance also needs to become part of implementation rather than a document created alongside it. A business introducing AI into recruitment, customer communications, financial decisions, or sensitive data processing faces different risks from one using it to summarise internal meeting notes, so controls should follow the use case rather than rely on a single corporate rulebook.
Insight’s appointment turns one line of Scotland’s national strategy into an implementation programme. The programme now has to demonstrate that structured support can close the gap between experimentation and operational use, with useful systems remaining in place after the consultancy engagement ends.












