An agent continually observes how your organization works with AI, interprets intent and knowledge use, and recommends ways to strengthen adoption and literacy. A weekly executive brief brings those insights and actions to leadership for review.
Ongoing AI activity, with a weekly executive review
What you bring
Relevant conversations, workflows and deliverables, plus the teams, review period and adoption priorities in scope.
Who uses it
AI program owner + executive sponsor
How the agent works
From observing work to improving AI practice.
The agent observes conversations, workflows and deliverables to understand what people are trying to achieve, which knowledge informs the work and what gets captured for reuse. It surfaces where teams need support and recommends coaching, shared knowledge and better ways of working. The weekly executive review brings this ongoing analysis into a focused leadership discussion.
01
Your team
Define what the organization needs to learn
Set the teams, workspaces and adoption priorities in scope. The configured executive review brings the analysis together weekly, using the previous full calendar week by default.
Starts with: relevant work records and clear learning priorities.
02
AI assistance
Understand the work behind the activity
Interpret what people are trying to achieve, how they use AI and which knowledge informs or emerges from the work. Exact activity counts come from the supplied records; inferred patterns remain clearly identified.
Reveals: intent, knowledge use and patterns that need attention.
03
AI assistance
Recommend the next improvement
Identify where work stalls, knowledge could be reused or teams need support. Propose three to five evidence-grounded actions for coaching, knowledge sharing or workflow improvement.
Proposes: practical ways to strengthen adoption and AI literacy.
04
Human decision
Turn observations into agreed priorities
The program owner checks evidence and interpretation, adds context and approves the weekly brief or requests revisions. Leadership decides which recommendations to act on.
People decide: the priorities, actions and what is shared.
05
Your team
Put learning into practice
Assign owners to the agreed actions, support teams and carry useful knowledge into future work. Use subsequent reviews to discuss progress and decide what needs to change.
Carries forward: shared knowledge, owned actions and questions for the next review.
The agent observes and recommends. People validate the interpretation, choose the actions and approve the weekly brief before distribution.
One output of ongoing analysis
A weekly brief. A practical path forward.
Learning insights
Intent, knowledge use and adoption patterns, with measured activity and interpretation clearly distinguished.
Knowledge and support gaps
Where work stalls, useful knowledge could be shared, or teams would benefit from guidance.
Recommended actions
Prioritized coaching, knowledge-sharing and workflow improvements for leadership to review and assign.
Explore related workflows
Assess the value of AI workflows
Model where AI could save effort, increase capacity, and create reusable ways of working—with assumptions your team can challenge.
People decide: which assumptions and estimates to accept.
Build stronger AI practice across your organization.
Bring your adoption goals and a sample of how your teams work with AI. We’ll map the evidence, leadership questions and review points for useful guidance.
