I help your team become AI-native, not left behind.
Fractional AI leadership for ambitious companies. I redesign your work around AI, then coach your team to do it without me.
Alasdair Bell
Fractional Chief AI Officer
Proof, not promises.
Case studies
150+
hrs/yr saved
BALLPOINT · UK MARKETING AGENCY
"We now have monthly visibility on experiments that we could only look at once or twice a year before."
JOSH, FOUNDER
80%
faster
OOH INSTALLER · AU
One AI agent drafts the system design, aggregates supplier pricing and writes the proposal, cutting 10-hour quotes by 80%.
99%
accurate extraction
VENTURE CAPITAL · AU
"…the depth of coverage is deeper and more repeatable."
FOUNDER
Progress, not PowerPoint.
How I work
Effort vs impact
12 mapped
IMPACT →
QUICK WINS
Invoice extraction
Inbox triage
Custom model
Data cleanup
Report drafts
HIGH EFFORTLOW EFFORT
Find the quick-win use cases
Quote workflow
−75% time
Redesign the work around agents
#
ai-help
14
M
Maya9:02
How do I get the agent to read our PDFs?
T
Tom9:14
Can it ping us in Slack when an invoice lands?
2 replies
P
Priya9:30
What prompt are we using for the weekly report?
Coach the team to build their own
Data foundations
CONNECTED
Xero
HubSpot
Google Drive
INDEXED
1,240 documents
Embeddings
Build the data foundations agents run on
Operator, not consultant.
Profile
16 years scaling startups
2nd employee · €148m exit
Launcher
New Ventures
Founder · VC-backed DTC
AI-obsessed
PODCAST
AI Native Speakers
Most leaders feel behind on AI. AI Native Speakers talks to the ones who got ahead.
Listen
Connect on LinkedIn
Weekly content about AI
250,594
Impressions · 365 days
▲557%vs. prior
Why now, not later.
The AI-native advantage
AI theoretical capability vs. observed current usage by occupational category
TheoreticalCurrent
↓ WHERE OPS TEAMS LIVE
Business & finance
94%
28%
Computer & math
94%
36%
Management
91%
6%
Office & admin
90%
34%
Legal
89%
20%
Architecture & engineering
85%
18%
Arts & media
84%
19%
Education & library
80%
18%
Life & social sciences
77%
6%
Sales
62%
27%
Healthcare practitioners
60%
5%
Social services
50%
5%
Protective service
30%
3%
Healthcare support
20%
3%
Other manual & physical (8 roles)
5%
1%
Source: Anthropic, Labor market impacts of AI (2026).
From code, to no-code, to plain English.
2020
Code era
ToolPythonPeopleDevelopers
2024
No-code era
ToolZapier · n8nPeopleSpecialists
2026
Agentic era
ToolClaudePeopleAnyone can automate
Share that has fundamentally redesigned workflows around AI
Organisations that have redesigned workflows around AI
72%
60%
40%
20%
0%
20%
55%
≈3×
All other AI users
AI high performers
All other AI users20%
AI high performers55%
High performers are ≈3× more likely to have redesigned workflows around AI.
Source: McKinsey, The State of AI (2025). High performers = the ~6% attributing >5% of EBIT to AI; n≈1,990.
Book a discovery call.
I’ll assess where your team sits on AI maturity and find one quick win worth implementing.