RisePlans

Check the model and account, test one workflow, and make an evidence-based decision.

Turn experiments into team routines

A field guide for founders and hiring leads navigating seniorised entry-level roles in the age of AI.

A practical path for managers to tackle AI job fear, model constructive use, and make skills investment visible.

Build review and promotion criteria that capture judgement, verification, and originality— not just output volume.

Tame hidden AI sprawl and turn scattered use into one productive, measurable team workflow.

Create one trusted version of how the company works

Build an AI inventory, verify which duties apply, and assign owners to the gaps.

A practical playbook for finding unsanctioned AI tools, choosing detection signals, setting policy, and fixing confirmed exposure.

Make one AI workflow's data fit for purpose, accessible, owned, and monitored.

Audit visibility, publish useful source pages, set crawler policy, and measure what changes.

Sharper proposals, cleaner follow-up, better handoffs

Upgrade your support workflow to triage tickets smarter, blend AI and human strengths, and keep a consistent voice.

Connect AI investment to attributable value, full cost, uncertainty, and a funding decision.

Redraw your business model for an AI-shaped market.

Map your market’s real futures and commit with clarity—before uncertainty chooses for you.

Turn widespread AI use into one redesigned workflow with measurable results.

Give every sanctioned agent a clear owner, controlled access, visible actions, and a clean exit.

A practical course for deciding when AI-assisted content needs review, disclosure, provenance, and proof before it goes public.

A culture-first workshop for finding useful museum AI experiments while protecting human judgment and public trust.

Replace AI chaos with process guardrails and clear accountability.

Turn saved hours from AI into better work, not overload.

A practical loop to prove every AI tool works for your workflow, not just the vendor’s demo.

Build sharper UX judgment and use AI without losing sight of evidence, constraints, or users.

Turn repeated work into supervised AI workflows - one workflow, one memory, one agent at a time.

Turn repeated work into supervised AI workflows - one workflow, one memory, one agent at a time.

Adopt ChatGPT Work as a runtime, wire the approval boundary and the evidence trail, and prove the agent did what it says before you scale it.

Install a real-world feedback loop to prove coding agents deliver beyond faster code and avoid costly surprises.

Connect AI to the systems that hold your company’s real context, with clear boundaries around what stays out.

A practical course for turning scattered agent experiments into a governed rollout with clear scope, evals, permissions, and human control.

Find your deployer duties and missing evidence before EU AI Act deadlines hit.

Give non-engineers a safe lane to build useful internal software with AI.

Build a repeatable, founder-led weekly habit of using AI to power your thinking, decisions, and delegation.

Move your team from scattered AI prompts to a trusted, supervised agent workflow.

Connect your core restaurant systems into one daily decision memory. Keep hospitality human.

A practical plan for using Copilot inside daily work, preparing better company context, and building your first governed agent.

Design AI workflows that keep working when model access, cost, risk, and agent authority change.

Build a 30-day AI academy that changes how work gets done.

Redraw one department around outcomes, agent work, human judgment, and clear ownership.

A direct route to AI fluency for individual contributors at work.