A centralised skill library
Skills installed once and available to every AI user in your organisation, so the finance team and the sales team are working from the same tools rather than reinventing them.
AI & Automation
AI capability for the whole company, maintained for you.
The same automations we teach in training, only built, rolled out, and kept working by us. Your team gets a shared skill library that behaves consistently for everyone, with no internal setup burden.
One person figures out AI. The knowledge never leaves their laptop.
This is the most common pattern we see. Somebody on the team gets genuinely good with AI, builds a set of prompts and workflows that save them hours, and that is where it stops. Their colleagues are still doing it the slow way, because the good version lives in one person's chat history and nobody else knows it exists.
The fix is treating AI capability as shared infrastructure rather than personal preference. A skill written once should be available to everyone, behave the same way for everyone, and keep working when the underlying tools change, which they do, constantly.
That is what this service is. We build the skills, deploy them company-wide, and own their maintenance. Your team gets the capability; nobody internally inherits a second job.
What running it for you means
Project-management frameworks built in
Structured skills for the coordination work that quietly consumes managers: status roll-ups, meeting notes turned into tracked actions, sprint and backlog hygiene, and progress summaries written for the audience that needs them.
Skills built around your business, not generic templates
Each skill encodes how your company actually does the thing: your terminology, your approval steps, your formats, which is the difference between something people use and something they ignore.
Maintenance as models and tools change
AI tooling shifts monthly. When a model updates or an integration breaks, fixing it is our problem. You find out because we tell you, not because something stopped working.
Usage visibility
A quarterly review of what is being used, what is being ignored, and what should be retired. Skills nobody uses get removed rather than accumulating.
Everything handed over.
Listed explicitly so there is no argument later about what was in scope.
- Deployed skill library available to your whole organisation
- Project-management skill set: status reports, meeting-to-action capture, backlog hygiene
- Documentation for each skill, written for the person using it
- Onboarding session for your team, recorded
- Named point of contact for issues and change requests
- Quarterly usage and pruning review
Honest scope
Is this right for you?
We would rather lose the enquiry than take on work we are the wrong people for.
A good fit if…
- You have AI licences already and adoption is uneven across teams
- You want the capability without hiring or reassigning someone to maintain it
- Several teams repeat similar coordination or reporting work
- You value consistency: the same task should produce the same output regardless of who runs it
Not for…
- Teams of fewer than about ten people. At that size the training track is better value and you will not need us ongoing
- Companies wanting full control of every skill in-house from day one; take the enablement track instead
- Environments where no external party may touch tooling configuration
- Anyone expecting this to fix a broken process. Automating an unclear workflow just produces confusion faster
Ways to start
Pick an entry point.
Larger engagements vary enough that a headline number would mislead, so those are quoted after a free call. We always tell you what drives the number.
Deployment
Standing up a shared skill library for the first time.
Quoted
Priced on how many skills and teams are in scope
3-4 weeks
- Discovery across up to four teams
- Six to ten skills built and deployed
- Centralised installation for all users
- Team onboarding session and documentation
- Ongoing maintenance (see Managed Care)
- AI tool licences
Managed Care
Keeping the library working and growing as the business changes.
Quoted
Monthly, priced on library size
Rolling monthly
- Maintenance and fixes when models or integrations change
- Up to three skill changes or additions per month
- Named contact with a two-business-day response
- Quarterly usage review and pruning
- Large new build-outs, which we quote separately
Questions, answered.
How is this different from just buying everyone an AI subscription?
A subscription gives your team a blank text box. This gives them specific, tested tools for the jobs your company actually does, built around your terminology, formats, and approval steps, available to everyone, and kept working as the underlying models change. The subscription is a prerequisite, not a substitute.
What happens to the skills if we stop working with you?
You keep them. The skills and their documentation live in your workspace and remain yours to use and modify. There is no licence that expires and nothing gets switched off. What ends is our maintenance of them. We will also do a handover session so an internal owner knows how they are put together.
Can you handle project-management workflows specifically?
Yes, and it is one of the most requested parts of this service. Typical builds include turning meeting notes into tracked action items with owners, generating status roll-ups from your existing tools, keeping backlogs tidy, and writing progress summaries pitched differently for engineers and for executives.
How quickly can this be live?
Deployment typically runs three to four weeks: about a week of discovery, two weeks building and testing, then rollout. Teams usually see the first working skills in week two rather than waiting until the end.
Start with a free conversation.
Thirty minutes, no pitch. We will tell you what we would do, what it would take, and whether you need us at all.