Making sense of tomorrow
(GAL-uh-gog) n. the feeling of awe and unease when you look at something vast you don't yet understand.
1 Premise
“The pace of change has never been this fast, yet it will never be this slow again.”
AI is the loudest change, but it's not the only one.
Galagog builds the skills that make AI and data approachable, the confidence to handle change wherever it comes from, and the fresh thinking to crack old problems in new ways.
That might mean redesigning a workflow, training a team or shaping a strategy to make sense of what's coming.
2 Services
What Galagog can help with
-
Ready for change
Preparing teams for the shifts digital, data and AI will bring.
-
Confidence first
Building the human skills people need to thrive alongside AI.
-
Capable, not reliant
Workflows that build your team's skills rather than replacing them.
-
Clean at the source
Fixing data at the source, so people and AI can trust it.
-
Read the market
Spotting how technology and other shifts could reshape your market.
-
Talent pipelines
Skills and partnerships that keep talent coming through at every level.
3 Data
Every data set has a human story.
Someone captured it, someone shaped it, and someone downstream is relying on it. When those people can't see each other, things quietly break: reports that don't match, tools nobody trusts, AI that sounds confident and gets it wrong.
Good data and data skills sit at the heart of every successful AI project. It's also how you see your world changing, and spot what's coming before it arrives.
Galagog helps people get real value from their data and pass it around without tripping each other up. Building workflows that add to how your team already works rather than bulldozing them.
Most of all, it means leaving your team with the ideas and confidence to keep finding better ways forward themselves.
4 Work together
Where to start
-
Workflow redesign
Mapping how your work and data actually flow, then building additive workflows with you that your team can run and improve long after Galagog steps back.
-
Training
Practical sessions for teams and leaders, from AI champions days to confidence workshops. People leave with good habits and the judgement to spot when AI gets it wrong.
-
Strategy
Helping leaders decide where data and AI fit, what to fix first and how to build the skills and talent to get there. Clear priorities, not a hype-driven roadmap.
-
Research and insight
Reports and briefings on how work, skills and markets are shifting, turning big trends into practical decisions for your organisation, sector or workforce.
5 About
Behind Galagog
I'm Daniel. I've spent 20 years turning messy data into things people can actually use, including a decade at Amazon leading analytics and product teams across HR, logistics, future of work research and social value. Much of my work has focused on systems and workflows that aren't fit for the world they exist in, and the people they leave behind.
I speak and write on AI, the future of work, skills and early careers. I've contributed to government policy discussions on early careers, AI and education, sat on the CBI's task force for building an AI-ready workforce, and am a TechSkills Industry Expert.
Time and again, I've seen people with the confidence, creativity and permission to get started deliver brilliant things, whatever their technical background. I started Galagog to help more people get there.
See my track record danielwilson.works“Ask yourself... if AI disappeared tomorrow, would you be better off having used it?”
6 Contact
Contact
The future is unknown.
It needn't be unnerving.
Let's make sense of it together.