Working Sessions, Newcastle and the Hunter
Bring the problem.
Leave with it fixed.
A monthly session on site where we take one real problem, or one promising idea, and work on it with your team until it is fixed or proven. Everything happens in the room, on your systems. Nothing is left as homework.
All work in the room
Built on your systems, tested on your data, before we leave
One result per session
A fix that goes live, or a proof of concept with a clear verdict
No homework
Nothing lands on your team between sessions
Why it adds value
Why a session beats a report
Four things you get from working side by side that you will not get from a slide deck.
The work gets done in the room
No report that sits in a drawer and no action list for your team to get to later. We sit with the people who do the work, on your systems, and leave something working behind.
Proof before commitment
A proof of concept on your own data, with your own team, is the only honest way to know whether an AI idea pays off. We build it small, test it on real work and let the result make the decision.
Your team learns by doing
Every session is also training. The people in the room see how the fix was built, so they can run it, tweak it and spot the next one without waiting for us.
Momentum you can see
A fix or a proof of concept every month adds up. After a few sessions you have a growing library of working automations and a clear picture of what deserves a bigger investment.
This is for you if
- You have a ranked list of opportunities from the audit and want the top ones fixed, not discussed
- You want to test AI on one real process before you commit to anything bigger
- Your team is flat out and cannot absorb homework, reports or a change program
- You have an idea you suspect would work but nobody in the business has time to build it
- Previous automation attempts stalled because the person building them left or got busy
- You would rather see something working this month than see a plan for next quarter
How it works
How a session runs
Five steps, the same every time, so your team knows exactly what to expect and we spend the hours on the work rather than the warm-up.
Pick the problem
Before each session we agree on one thing to fix or one idea to prove. If you have done the audit, it comes off the ranked list. If not, it is whatever is hurting most this month. The session has one job, and everyone knows what it is.
Get the right people in the room
The people who actually do the work, plus whoever can make a decision. Usually two to five people. No observers, no one who has to leave early.
Build it together
We connect the tools, map the steps and build the fix or proof of concept on your systems while you watch and contribute. Questions get answered on the spot. Mistakes get fixed on the spot.
Test it on real work
Before the session ends we run it on genuine examples from your business, not a demo. If it works, it goes live. If it does not, you have learned that for the cost of a session rather than a project.
Hand it over
A short written note of what was built, how to run it and what to watch. Your team leaves knowing how it works. We leave with the next problem agreed.
What you walk away with
A working fix or proof of concept, every session
Something your team can use the next morning, built on your systems with your data.
A one-page session note
What was built, how to run it, what to watch, and the hours it should save.
A growing library of skills and automations
Prompts, workflows and scheduled tasks that build on each other month after month, documented so they outlive the session.
A trained team
The people in the room learn by building. Each session leaves more capability inside your business.
Evidence for bigger decisions
Real results from real tests, so the case for a larger program or a Fractional Chief AI Officer (CAIO) is built on what actually worked here.
An agreed next problem
Every session ends with the next one scoped, so momentum does not depend on anyone finding time to think about it.
Three tiers
Pick the pace that fits
Three tiers, sized by time on site each month. Start at the level that fits your list and your appetite, and move up or down as it changes.
Focus
Half a day a month, on site
One problem fixed, or one proof of concept stood up, each month.
- One fix or proof of concept a session
- Built and tested on your systems
- One-page session note
- Next problem agreed before we leave
- Several problems worked in parallel
Momentum
A full day a month, on site
Two problems, or a fix plus a proof of concept, each month.
- Two fixes, or a fix plus a proof of concept
- Built and tested on your systems
- One-page session note
- Skill and automation library maintained
- Next problems agreed before we leave
Accelerate
Two full days a month, on site
Several fixes and proofs of concept moving at once, for businesses that want pace.
- Several fixes and proofs of concept in parallel
- Built and tested on your systems
- Session notes for every item
- Skill and automation library maintained
- Light touch between sessions to keep things moving
All three tiers run on the same rule: the work happens while we are there. Anything beyond the session is scheduled into the next one or quoted separately, so your team is never carrying our to-do list.
Timeframe and next steps
Sessions run monthly, for half a day, a full day or two days depending on the tier. Most businesses see their first working result at the end of the very first session.
If you have completed an AI & Automation Audit with us, that fee is credited against your Working Sessions when you go ahead. Scope and tier are confirmed on a 15-minute Problem First Call.
Common questions
The audit finds and ranks the opportunities. Working Sessions fix them. Most clients do the audit first because it means each session starts with a clear target, but if you already know the problem you want solved, you can start here.
Your pathway
Where this sits, and what comes next
Four services, in the order most Hunter businesses follow. You can start at any step and stop at any step.
- Step 1 · Learn
AI Training & Adoption
Start here. Role-based training on your real work, with a written AI usage policy.
Learn more - Step 2 · Find
AI & Automation Audit
Every process scored on value and effort. Your top opportunities, ranked and quantified.
Learn more - Step 3 · You are here
Working Sessions
Bring the problem. Leave with it fixed, or proven. No homework.
- Step 4 · Lead
Fractional Chief AI Officer (CAIO)
Senior AI leadership for a few hours a week, without the full-time salary.
Learn more
Natural next step
Fractional Chief AI Officer (CAIO)
Once the proofs of concept are paying off, a Fractional Chief AI Officer (CAIO) keeps the whole program moving and reports on it monthly.
Got a problem worth half a day?
Fifteen minutes on the thing that is costing your team the most time right now, and whether a Working Session is the fastest way to remove it.
15 minutes on Google Meet. Bring one problem, leave with a clearer view and a sensible next step.