One team.
A clear AI plan.
The skills to put
it to work.
One day of whole-team training and practical workshops.
Turn AI experiments into a strategy your people can act on.
Assess where your business is today. Decide where AI can create real value.
Practise building agent workflows and leave with your next 90 days mapped out.
Everyone is trying AI.
Is the business moving forward?
A few people are enthusiastic. Others don’t know where to start. More tools haven’t resolved the rework, the scattered information or the question of what’s actually worth doing.
Individual experiments.
No shared direction.
Time saved in drafting, lost in checking.
Subscriptions without a credible return.
Ideas that never become a team workflow.
A shared strategy.
The skills to take it forward.
Choose opportunities that release capacity.
Count value after review and support costs.
Keep judgement and client trust at the centre.
Understand where you are.
See what needs to change.
We assess six connected areas with your team, then use that shared picture to shape a
practical strategy for where you could be.
Direction & value
Where could AI release capacity, improve delivery economics or add new capability?
Workflow clarity
Which recurring tasks are slowed by rework, unnecessary steps or unclear handoffs?
Team capability
What can people do today and where do skills, confidence or available time hold them back?
Data & tools
Which sources are current and approved? What fits your workflows, systems and budget?
Review & control
What can AI handle, what needs a human check and who takes over when it gets stuck?
Ownership & upkeep
Who will implement, maintain and measure the change once the workshop is over?
Five sessions. One practical day.
Learn together, work on your own business and turn the decisions into a plan.
The agenda is shaped around your team’s starting point.
See where work and adoption get stuck.
Review how your business operates, what the team has tried and where effort is being lost.
Surface the skills, data and ownership gaps that could block implementation.
Decide what AI should help you achieve.
Draft a strategy around your business goals and what a better way of working could look like. Compare opportunities by value and feasibility; assess tool and partner options against your needs and budget.
Choose what to remove, improve and automate.
Redesign the workflows by mapping a priority workflows from input to accepted output. Identify the business context, data gaps, review standards and handoffs it needs. Learn when simple automation is enough and where an AI agent can add value.
Opportunity design
Work through a guided exercise using an appropriate example from your team’s deliverables. Learn to give an agent a bounded task, supply approved context, test the output and route exceptions to a person.
Give the strategy a route into everyday work.
Sequence the priority workflows into a 90-day plan. Assign owners and agree what needs to happen first. Learn to estimate net value, including setup, review and support and define the evidence you’ll use to continue, improve or stop.
A shared plan.
The practice to start implementing.
Six working outputs developed with your team during the day, ready to refine and use as you move into implementation.
AI OS assessment
Your starting point across operations, team capability, data and ownership.
Draft AI strategy
Business outcomes, practical principles and a tool shortlist assessed against your needs.
Priority workflow map
Opportunities ranked by value and feasibility, with relevant gaps and dependencies flagged.
Review & escalation design
What the agent handles, what people check, the review standard and who receives a handoff.
Implementation practice & toolkit
A guided workflow exercise, reusable working templates, and net-value assessment method.
90-day implementation roadmap
A sequence your team can own: priorities, responsibilities, and measures of progress.
One full day of team training
and practical workshops.
Build the capacity inside your business.
The Lab gives your team a strategy and a practical method to take implementation forward themselves.
You want a plan you can put to work.
AI use is scattered across a few enthusiasts.
You’re unsure which workflow or tool to prioritise.
Checking AI output consumes the time it saves.
You want to measure value beyond subscriptions and usage.
Your team wants practical skills on real work.
You can assign owners and time to implement afterwards.
The Lab prepares your team to implement. Live deployment and further testing happen after the day.
If you need Orbflo to build alongside you, the AI OS Sprint is the implementation route.
Move from
“we should use AI”
to “here’s how we’ll
make it work.”
One day to assess, align and practise.
A 90-day plan to carry the work forward.
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