For teams · Enterprise

Not sure where your company should start with AI?

See which roles are worth changing and whether your people can actually use AI, then decide which projects come first.

1

Which team tasks could AI help with?

Break each role into its common tasks, mark the AI capability level, and find the highest-return starting point.

2

Can our people actually use it?

Understand your team's real level of AI use, rather than guessing where training should start.

3

Which projects should we do first?

From the assessment, propose three to five prioritised AI projects rather than one exhaustive list.

How working together unfolds

Three stages, in order. We start with a diagnosis, not a subscription — you only scale up what a small pilot has proven.

  1. 1Start here

    Diagnosis report

    A one-time review that maps your roles to tasks, capability level, evidence and a prioritised shortlist. Delivered by a person; no software rollout required.

  2. 2Then, if it helps

    Hands-on rollout

    A fixed-period engagement to put one or two proven tasks into daily use, with the human checks kept in place.

  3. 3Later, once repeatable

    Team seats

    A per-seat subscription to the workspace — only once the same workflow has been validated across teams. Not sold first.

This is an early offering. Pricing is set per engagement after the first conversation, not published as fixed tiers yet.

Team console MVP

What the org AI map looks like

Below is an interactive preview of the team console. All data is for demonstration, showing the structure you would see after an assessment.

Sample data · demo organisation — everything below is fictional demo data and represents no real customer's organisation.

Scroll sideways for more sections.

12
staff
4
departments
3
tasks assessed
5
recommended AI projects
Departments
DepartmentLeadHeadcountAI usage level
ProductZhou Min3Higher
MarketingChen Hao4Medium
Customer serviceLin Yue3Needs improvement
AdminWang Fang2Needs improvement
Employees
NameRoleDepartmentAI usage level
Zhou MinProduct managerProductL3 · proficient
Zhao LeiProduct opsProductL2 · experimenting
Chen HaoMarketing managerMarketingL2 · experimenting
Sun YueContent opsMarketingL3 · proficient
Lin YueSupport leadCustomer serviceL1 · not yet using
Wang FangAdmin officerAdminL1 · not yet using
Assessments
Assessment nameRoles coveredStatusUpdated
Product manager AI assessmentProduct manager · product opsDone2026-07-28
Marketing team AI surveyMarketing manager · content opsDone2026-08-02
Support team AI assessmentSupport leadIn progress2026-08-08

Product manager

Write a weekly report
Competitor analysis
Write a requirements document

Marketing manager

Content drafting
Ad data analysis

Support lead

FAQ replies
Ticket triage
High priority
Automatic ticket triage and reply drafts
The support team has the lowest AI usage and the most repetitive tasks, so the expected return is highest.
Medium priority
Drafting marketing content with AI
Some staff already experiment individually; standardising tools and prompt templates would improve consistency.
Low priority
Assisted requirement documents
The product team's AI usage is already higher, so this is a later project rather than a first priority.
Talk to us

Tell us about your organisation

Preview what information a future team enquiry would ask for. Nothing is sent from this prototype.

  • A free first conversation about your AI situation
  • An assessment tailored by role
  • Optional private deployment and data security options