AI & Digital Strategy Consulting
AI & Digital Growth
Strategy
SKAIYON is a consulting firm specialising in AI and digital strategy. We find where a business loses time and money, build the strategy to fix it, and deliver that strategy as custom systems we build and operate.
- n8n
- Supabase
- Railway
- Cloudflare
- Anthropic Claude
- OpenAI
- Google Gemini
- Moonshot Kimi
- Resend
- cal.com
- PostgreSQL
- n8n
- Supabase
- Railway
- Cloudflare
- Anthropic Claude
- OpenAI
- Google Gemini
- Moonshot Kimi
- Resend
- cal.com
- PostgreSQL
- Salesforce
- HubSpot
- Slack
- Zapier
- Make
- Airtable
- Notion
- Stripe
- Twilio
- Mailchimp
- Telegram
- Shopify
- Gmail
- Google Drive
- Calendly
- Typeform
- Webflow
- WordPress
- Hugging Face
- Perplexity
- Salesforce
- HubSpot
- Slack
- Zapier
- Make
- Airtable
- Notion
- Stripe
- Twilio
- Mailchimp
- Telegram
- Shopify
- Gmail
- Google Drive
- Calendly
- Typeform
- Webflow
- WordPress
- Hugging Face
- Perplexity
All trademarks are the property of their respective owners. Their appearance does not imply endorsement or partnership.
A strategy compounds. Tools don't. Every month a custom system runs, it gets better at your business specifically.
- Lead volume increase
- 6xLead volume increaseSelf-reported by clients when asked directly, averaged across three engagements, against their volume before the system. An estimate given by the people doing the work, not a measurement we took.
- Efficiency and process optimisation
- 27%Efficiency and process optimisationSelf-reported by clients when asked directly, averaged across three engagements. An estimate given by the people doing the work, not a measurement we took.
- Time returned to the team
- 10 hrsTime returned to the teamSelf-reported by clients when asked directly, averaged across three engagements. An estimate given by the people doing the work, not a measurement we took.
Three engagements. Each figure below states who measured it and how, and the estimates are labelled as estimates.
AI adoption,
by market.
Where AI has actually landed, and where it hasn't. Every figure is attributed to the organisation that published it, with the period it covers.
- 64.0%
- of the working-age population used generative AI, the highest rate of any economy measured
- 59.4%
- the same measure, six months earlier
- 16.3%
- the global average on the same measure, across roughly 150 economies
The most AI-saturated consumer market in the world, at close to four times the global rate. Staff and customers here are already using these tools daily. The open question is whether the business has decided how, or whether it is happening around it.
Read the full breakdown →- 33.1%
- of establishments used AI technologies, a rise of 20.0% in one year
- 61.1%
- in information and communications, the highest of any sector measured
- 26.2%
- of the working-age population used generative AI
A third of Saudi establishments already use AI, concentrated in information, finance and education. Below those sectors the gap is still wide enough that a working system is a differentiator rather than table stakes.
Read the full breakdown →- 35%
- of businesses with 10 or more employees used at least one AI technology
- 58%
- in information and communication, against 13% in construction
- 1.6
- AI technologies per adopting business, up from 1.4 in 2023. Adoption is broad, not deep
- 38.9%
- of the working-age population used generative AI
Wide and thin. A third of businesses have started, and the average one runs fewer than two AI technologies. The distance between using a tool and rebuilding a process is where most of the value still sits.
Read the full breakdown →- 62.5%
- of larger enterprises had adopted AI, up from 44% the year before
- 14.5%
- of SMEs, up from 4.2%. The gap by company size is the widest of any market here
- 60.9%
- of the working-age population used generative AI
The most thoroughly measured AI market anywhere, and the clearest illustration of the size divide: large enterprises are past the halfway mark while small ones have barely started. Whichever side of that line a business sits on decides what the next move is.
Read the full breakdown →- 19.2%
- of businesses used AI to produce goods or deliver services in the preceding twelve months
- 6.1%
- the same measure two years earlier. It has tripled since
- 42.3%
- in information and cultural industries, against 40.4% in finance and insurance
- 35.0%
- of the working-age population used generative AI
Tripled in two years, from a low base. Business adoption sits well under personal use, which is the signature of a market where staff have adopted AI faster than the organisations they work for.
Read the full breakdown →- 19.8%
- of businesses reported using AI in producing goods or services
- 39.7%
- in information, against 33.9% in finance and insurance
- 28.3%
- of the working-age population used generative AI
The market that builds most of the tooling is not the market that uses it most. Adoption has been flat around a fifth of businesses for two quarters, and it is concentrated in the largest firms and two sectors.
Read the full breakdown →- 21.1%
- of the working-age population used generative AI
- 16.3%
- the global average on the same measure, across roughly 150 economies
Above the global average, and the thinnest evidence base on this map: South Africa publishes no national statistic on business AI adoption comparable to the UK's, Canada's or Saudi Arabia's. The figures that circulate come from vendor surveys, which is not the same thing, so they are not here.
Read the full breakdown →
Five things
worth knowing.
Start with
the diagnostic.
A scoping conversation costs nothing and ends with a straight answer about whether there's enough here to be worth doing. If there isn't, we'll tell you.
Reach out to start
your AI journey.
- Dubai, United Arab Emirates