Public RisePlan library
Practical plans for AI-native work.
Browse 45 public RisePlans by the work they help you change: agent workflows, adoption, foundations, customer work, and strategy.
Prefer a shorter read? Open Bites05 plans
Agentic work and control
Delegate multi-step work to agents, set review loops, and keep model and provider choices under control.
Agentic Work Redesign Sprint
Learn how to redesign work for teams using AI agents to handle delegated, long-running, and cross-functional tasks. Build a new operating model that makes room for parallel delegation, reusable instructions, modern review cycles, and the next level of team collaboration.
From Chatbots to Superagents
Stop settling for one-off chatbot interactions. This plan shows you how to delegate real, repeatable work to AI agents with control, confidence, and results your team can trust.
AI Agent Control Loop for Work
Learn to move from chat assistants to actionable AI agents by setting up control loops, approval ladders, permission maps, and evaluation scorecards. This plan gives you the operating routines, artifacts, and rollout strategy to pilot agents with confidence - and proof.
AI Continuity with OpenAI, Open Models, and Local Fallbacks
Fable 5 made the quiet risk visible: AI access can change overnight. This RisePlan helps you choose OpenAI-style hosted APIs, open-weight models, local fallback, or a hybrid path without locking your work to one provider.
Claude Fable 5 Work Readiness Sprint
Learners will diagnose what changed, choose and justify model-driven workflows, articulate and adjust controls for risk and data management, and deliver a 30-day adoption test with practical artifacts.
05 plans
Adoption and people
Help managers and teams change roles, performance standards, trust, and everyday AI routines.
AI Readiness Pilot
Choose the workflow where AI can create value now, design the human-in-the-loop routine, and prove in 30 days whether it should scale.
Manager Habits for AI Adoption
Help managers turn private AI experiments into shared team routines, quality standards, visible learning loops, and adopted workflow changes.
Hiring and Career Ladders in the AI Era
See why entry-level jobs aren't vanishing—they're evolving. Learn to audit roles, rewrite jobs and ladders, and test for judgment and real ownership in every hire.
Trust, Anxiety, and the AI Conversation With Your Team
Learn to break the silence around AI at work—name the real risks, run trust-building team conversations, model healthy AI use visibly, and make your commitment to skills unmistakable. Walk away with scripts, checklists, and a skills plan designed for trust, not false reassurance.
Performance and Promotion in the Age of AI-Assisted Work
AI is changing what counts as great work. This plan shows founders, managers, and HR leads how to evaluate, review, and promote people whose output is deeply AI-assisted. You’ll replace outdated volume metrics with rubrics for judgement, verification quality, and original thinking—so you can recognize what really matters.
05 plans
Governance and foundations
Strengthen data, company knowledge, tool visibility, policy, and risk controls before AI use scales.
AI Sprawl Cleanup Sprint
Bring order to fragmented AI use. Map every tool, prompt, and cleanup hour. Diagnose waste and workslop. Set the rules and rhythms that make team experiments compound instead of costing trust, time, and money.
Company Knowledge System
Turn scattered documents, decisions, examples, and team know-how into a maintained company memory people can trust and use in daily work.
AI Governance and Regulation Readiness: Your Move Before the EU AI Act Deadline
Most small and mid-size companies believe the EU AI Act targets only large enterprises. That is a myth. This RisePlan cuts through confusion: map your company’s AI risk, close your compliance gaps, and build a routine that fits small teams and tight timelines—without a legal department.
Shadow AI: Tools, Detection, Policy, and Prevention
Find shadow AI with disclosure, identity, browser, network, endpoint, DLP, and procurement signals. Set policy, review findings, and remediate risky AI use.
AI-Ready Data Foundation Sprint
Map the data one AI workflow uses, test its fitness and access, fix the blocking gaps, and assign ownership for ongoing review.
03 plans
Customer workflows and visibility
Redesign sales, support, and search visibility around work people can inspect and improve.
AI Search Visibility: A Practical Sprint
Audit how your company appears in AI search, publish verifiable source pages, set crawler policy, and measure changes in Search Console.
Sales Workflow Upgrade
Turn sales research, discovery notes, proposals, follow-up, and handoffs into a repeatable workflow where AI supports preparation and quality without replacing human judgment.
Customer Support Workflow Upgrade
This plan shows founders and support leads how to rebuild their workflow for sharper ticket triage, clearer AI-human collaboration, and seamless handoffs. Get hands-on tools to reduce guesswork, protect your tone, and deliver better support at scale.
03 plans
Strategy and value
Test the business case, choose where to place bets, and decide what AI changes about the offer.
AI Business Case and ROI Sprint
Build an AI business case with a baseline, attributable benefits, full costs, risk assumptions, and a clear keep, kill, or scale decision.
The Business Model Memo: What AI Changes About What You Sell
You map which parts of your offer are now commodity-priced with AI and which deserve a human premium. In the end, you write a focused one-page memo committing to the bet that will define your market position for the next 12–24 months.
The Next Three Years: A Scenario Planning Sprint for Leadership
This sprint guides founders and executive teams to write sharp, industry-specific scenarios and make irreversible vs. reversible decisions visible. By the end, you’ll hold a tailored roadmap for immediate moves, smart wagers, and focused restraint.
24 plans
More published RisePlans
Additional published RisePlans outside the curated collections above.
After Adoption: Make AI Count
Your company already uses AI. This Riseplan helps you uncover what is working, choose one workflow worth redesigning, and build proof that the change counts.
Agent Identity and Access: Treat Every Agent Like a New Hire
Build the identity controls your agents need before forgotten credentials become live exposure. You will create an agent register, tighten one high-risk access profile, and rehearse offboarding.
AI Content Transparency Playbook
Build an operating routine for AI-assisted text, images, audio, video, social posts, sales material, knowledge pages, and client-facing documents. Learn how to classify content, assign editorial responsibility, choose disclosure signals, preserve provenance, and keep evidence when trust is on the line.
AI for Museums: From First Curiosity to Embedded Practice
See where AI can genuinely help across museum work, then test its value on material your team already uses. You will leave with a priority map, clear boundaries, and one practical experiment ready for the next 30 days.
AI Process Guardrails Playbook
Deploying agentic AI demands more than automation. This playbook gives you the practical guardrails to manage owners, handoffs, logging, escalation, rollback, and decision proof in your business workflows.
AI Time Dividend Manager Playbook
AI will change how your team spends time, but directionless savings become invisible overwhelm. This playbook shows you how to turn recovered hours into learning, focus, and sustainable team growth—with clear, source-backed steps.
AI Vendor Proof Playbook
Too many teams buy AI on claims and slick demos, only to regret it later. This playbook walks you through a hands-on proof process—so you ask the right questions, test for real-world fit, and see risks and costs before you roll anything out.
Better UX Design in the Age of AI
Learn a repeatable way to turn interface requests into evidence-backed design decisions. You will leave with practical tools for framing the work, directing AI, testing options, and deciding what happens next.
Build Your Company Factory
Transform scattered automation into a supervised company factory: map a real workflow, pack your memory, design your first AI skill, track supervised runs, and decide when to scale. Direct, practical, grounded.
Build Your Company Factory
Transform scattered automation into a supervised company factory: map a real workflow, pack your memory, design your first AI skill, track supervised runs, and decide when to scale. Direct, practical, grounded.
Your First Autonomous Coworker: A ChatGPT Work Readiness Sprint
On July 9, 2026 OpenAI shipped an autonomous agent that works across your apps for hours. The generic agent shell is now cheap. Your edge is the layer around it: the work you hand it, the limits you set, the proof it did the job, and the call you make at day 30. This sprint builds that layer.
Coding Agent Adoption Proof Loop
Most teams see a burst of output after adopting AI coding tools, but speed alone doesn’t guarantee value. This plan installs a concrete proof loop covering adoption, review load, maintainability, security, and delivery impact—grounded in emerging evidence and real engineering workflows.
Context Engineering: Wire Your Company Into AI
Map the systems that matter, connect the top three safely, and rerun a task that previously fell flat. You will see whether live company context turns a plausible answer into something your business can use.
Enterprise Agent Rollout Playbook
Learn how to select the right first agent workflow, define boundaries, write evaluation cases, run a supervised pilot, and decide when an enterprise agent deserves production access. Built for teams that need progress without permission sprawl.
EU AI Act Deployer Readiness Map
This plan gives you a concrete workflow and practical tools to map which of your AI uses trigger EU AI Act deployer duties, spot missing owners and evidence, and decide what needs legal or compliance review before the next deadline hits.
Everyone Ships: Internal Tools Your Team Builds With AI
Create a one-page build policy, set a clear rule for data access, and install a lightweight review gate. Then use the system to help one non-engineer ship a real internal tool within 30 days.
Founder AI Operating Rhythm
Stop running AI as a side experiment. Build a living weekly workflow where AI helps you think, decide, and act—then sharpen that loop every week.
From Chat Prompts to Agentic Workflows
Use the Codex evidence as a warning shot: frontier users are moving from chat to delegated work. This RisePlan helps your team turn one repeated workflow into a supervised agent loop with memory, a reusable skill, a visible run board, and a 30-day review.
From Scattered Restaurant Systems to One Operational Memory
Map one high-value workflow, define a lightweight operating memory, and deliver a daily decision brief grounded in trusted live signals. Managers stay in control while small operational misses become visible sooner.
Microsoft 365 Copilot Work
Most teams buy Copilot before they change how work moves. This RisePlan helps you turn Microsoft 365 Copilot from a loose chat habit into a useful operating layer: daily workflows, source hygiene, prompt contracts, scoped agents, safe actions, and review routines.
Model-Tier AI Operating Sprint
OpenAI's GPT-5.6 Sol preview signals a new default: model families, governed access, deeper agent modes, and sharper safety gates. This RisePlan helps teams decide which work needs a flagship model, which work can run cheaper, and which work must stop when evidence is thin.
The Team AI Academy: Upskilling That Changes Real Work
Turn scattered training links into a structured academy built around roles, cohorts, and live work. You will leave with the core tools to run the first 30 days and see whether AI skills are reaching the workflow.
The Work Chart: Designing Your AI-Native Org
Build a one-page work chart that shows what your department must achieve, where agents execute, and where humans direct or intervene. Then test the structure with your team and improve it using two weeks of real work.
Your Own AI Fluency Plan
Most AI courses expect you to be in charge. This one is for the rest of us. You'll build a concrete, evidence-backed AI fluency plan, mapped to your own work. The steps are practical, the behaviors measurable.