Behaviour Owner
AI OWNERSHIPADAPT
Lauren Kelly
Purpose Give key people clear responsibility for making the behaviour work
Intervention type Behavioural stewardship & embedded accountability
Audience Team leads, product managers, delivery owners, or ops leads responsible for day-to-day AI performance
Time 1 hour setup, 1 hour fortnightly check-in, optional 60-min monthly review ≈ 4h/month
Expected outcomes
Users: Know who to go to when the AI behaviour breaks, drifts, or needs adjusting
Teams: Build a clear review rhythm and behavioural playbook, led by a trusted peer
Business: Avoid costly drop-offs post-rollout with visible accountability and reduced friction
Organisation: Behavioural adoption becomes owned and managed at team level.
What to bring to the session
Behaviour Steward Brief Sheet. (Within the steps)
Ownership Network Map. (Within the steps)
Steps
1 | Spot the Right Behaviour Owner
Step 1: Look for these signals
Choose someone who is:
Close. Has access to where the behaviour happens day-to-day
Reliable. Already seen as a go-to person for “how we get things done”
Trust. Trusted by their peers, their advice is acted on
Influential. Able to adjust or influence small levers: prompts, processes, hand-offs
Results-oriented. They care about what works, not just what was planned
Pragmatic. Spot friction early and fix it fast.
Empathetic. Has either behavioural training or an intuitive sense about people.
If you're stuck, ask:
“Who does the team already go to when the task is blocked, skipped, or unclear?”
This might by you AI Champion. Or someone entirely different.
Common places to find them: product leads, ops managers, delivery leads, team supervisors.
2 | Outline the Role
Step 2: Scope the Behaviour Owner’s role using 6 pillars
Use the following six pillars to shape the Behaviour Owner’s scope:
Step 3: Define success & KPIs
Outline 3 things:
What’s the specific and observable behaviour?
e.g. “We want everyone to run one AI-generated version before finalising their weekly report.”What’s the shift we’re aiming for?
e.g. “From skipping the AI tool to using it as the first draft helper.”How will we track it?
Offer concrete examples:
% of team using AI in the defined task
Number of support/friction requests raised
Time saved per use or error reduction
Feedback signals: “I forgot”, “It’s too slow”, “Doesn’t help me”
Step 4: Map the Behaviour Support Network
The Behaviour Owner owns the outcome, not the specific tasks.
So they know who to involve, when and for what.
Use the Ownership Network Map to log:
Step 5: Announce their role to the team
Use this sample message:
“Hey team, [Name] is now our Behaviour Owner for [task].
Their job is to help this AI behaviour stick, adapt, and improve over time.
If you’re stuck, have feedback, or notice friction, go to them first.
They’ll run check-ins and help us make this part of how we work.”
Step 6: Run a Behaviour Health Check every 2 weeks
Block a 20-min slot in the Behaviour Owner’s calendar.
Use the Behaviour Health Tracker to guide the review.
Check:
Is the behaviour happening?
What’s working well?
What’s getting skipped or blocked?
What team signals are showing up? (hesitation, confusion, workarounds)
Optional: Run a monthly Behaviour Sync with key stakeholders if changes are needed across teams, prompts, or incentives.
Resources
Responsibilities of a Behaviour Owner
Behaviour Tracking
Check in weekly or fortnightly on how the behaviour is playing out in real work
Use real signals (metrics, comments, task logs), not just guesses
Friction Spotting
Gather feedback on blockers, confusion, or drop-off
Run small tests to reduce friction (e.g. prompt tweaks, reminders, flow nudges)
Adaptation & Maintenance
Update workflows or rituals when the behaviour starts slipping
Flag upstream issues (tools, incentives, training gaps) to the right person
Peer Support & Communication
Be a sounding board for teammates
Share tips, spotlights, or insights during stand-ups, retro, or async channels
Other methods within the adapt block
Human-AI Performance
By Lauren Kelly
Contact: lauren@alterkind.com
© 2025 Alterkind Ltd. All rights reserved.
Human-AI Performance™ is a proprietary methodology developed by Alterkind Ltd using our Behaviour Thinking® framework. All content, tools, systems, and resources presented on this site are the exclusive intellectual property of Alterkind Ltd.
You’re welcome to use, share, and adapt these materials for personal learning and non-commercial team use.
For any commercial use, redistribution, or integration into client work, services, or paid products, please contact lauren@alterkind.com to discuss licensing term
Icons by Creative Mahira, The Noun Project.
Thanks to Nicholas Edell, Valentina Tan and multiple VPs implementing AI for your feedback during development.
LICENSE
Human AI Performance by Alterkind is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on work at alterkind.com
For commercial licensing contact: lauren@alterkind.com