Hey there,
AI rules are changing, projects are being cut for weak ROI, and agents are moving into core operations.
This edition gives you a simple AI and portfolio risk radar you can run fast to protect compliance, budgets, and delivery.
Use it to keep your AI, expenses, and agent decisions sharp, fast, and defensible.
In this issue:
Playbook of the Day
How to Run a 15-Minute End-of-Day Ops Debrief
Goal: Catch issues early, reset priorities, and make tomorrow smoother than today.
Who: COO/Head of Ops, plus 1 ops lead or team lead per major function. Same time every workday.
Before the debrief (3 mins):
Each lead adds 2–3 bullets to a shared doc: what worked, what broke, what is at risk for tomorrow.
Host skims and highlights anything tagged “urgent.”
During the 15 minutes:
Today in 60 Seconds (4 mins): Each lead gives a quick update: biggest win, biggest problem, and one number that mattered. No deep dives.
Risks for Tomorrow (6 mins): Review anything tagged “urgent” or “at risk” and agree on one concrete action per item with a single owner.
Plan for Tomorrow (3 mins): Host recaps the 3–5 must-do actions for tomorrow and assigns ownership to each. Verbal “yes” from owners.
Rules: No brainstorming, no new projects, keep it about today’s reality and tomorrow’s plan.
Latest News
🚀Trump EO: National AI Framework vs State Laws
Published: 03/09/2026
President Trump issued a December 11, 2025 executive order to promote U.S. AI leadership via light-touch federal rules. It tasks an AI Litigation Task Force with challenging state laws, directs Commerce to assess inconsistent regulations and tie BEAD funding to compliance, and requires agencies to link grants to non-enforcement of conflicting rules. California and New York's new AI transparency laws, effective 2026 and 2027, mandate disclosures from major AI developers despite this federal push.
Upside: COOs are ‘said’ to gain a federal path to uniform rules, cutting state compliance burdens in AI deployments, managing multi-state risks, and accessing funding for ops intelligence.
Impact: It streamlines AI governance, reduces legal costs, speeds tool adoption, and boosts COO-led scalability in risk management and ROI.
🏗️ Tempo: Cancel More Projects, Save More Budget
Published: 03/13/26
Tempo surveyed 667 project-planning leaders and found only about 70% of software projects deliver real ROI, with over one-third canceled or stopped early due to misalignment or poor returns. Organizations using scenario-planning software are 17 percentage points more likely to achieve ROI and tend to stop failing projects faster, leaving a healthier, more profitable portfolio. Top teams review projects often, align across teams, shift resources quietly, and cancel work early when the numbers no longer work.
Upside: COOs can use scenario planning and stricter reviews to cut waste, improve overall project ROI, and redirect budget to higher-value initiatives like AI and core transformation.
Impact: Moves organizations toward active portfolio management, treats early cancellation as a cost-control tool, and strengthens COO control over software spending and execution.
🤖 Agent Era: From Prompts to Structured AI Ops
Published: 03/16/2026
AI agents are rapidly taking over core software and business logic work, moving us from manual coding and simple prompts to networks of agents that use tools, memory, and workflows to handle complex tasks, while an AI “tier” increasingly replaces traditional SaaS applications and their user interfaces.
Upside: COOs can put an AI agent layer on top of existing systems to connect CRMs, ERPs, and data platforms faster, using conversational interfaces instead of building new custom apps for every workflow.
Impact: Makes managing and governing networks of agents a key leadership skill, pushing COOs to redesign processes, roles, and controls around an AI decision layer that runs end‑to‑end operations.
Prompt of the Day
The COO AI & Portfolio Risk Radar Prompt
Trigger Event | Action | Use Case Example |
|---|---|---|
New AI regulation or EO announced | Map exposed AI projects and data by region. | Quick risk view of where new AI rules hit current deployments. |
Before approving or renewing a major AI / software program | Set ROI, timeline, and stop rules. | Short decision brief with ROI case and kill criteria. |
When portfolio ROI or budgets feel “stretched” | Flag weak or overlapping projects. | List of projects to cut, keep, or pause with budget shifts. |
When AI agents are added to a workflow | Define controls and oversight. | Simple map of agent actions, owners, and checks. |
Month-end / quarter-end operating review | Review AI impact on risk and cost. | High-level summary with a few priority actions. |
Prompt
“Act as my risk radar. Based on this snapshot of our current AI projects, portfolio ROI, and agent-based workflows, (1) flag the top 3 operational or execution risks for the next 30 days, (2) show me early warning signals to watch this week, and (3) suggest 2–3 concrete mitigation steps I can assign today.”
Knowledge is useless to executives unless it has been translated into deeds.
One last Thing
AI regulation, project cancellations, and agent rollouts do not need to become last‑minute problems.
Use these prompts to turn signals into clear decisions and actions you can assign today, and make this check‑in a steady part of your weekly rhythm.
The best work often happens when nobody is watching, and this is one of those moments.
Until next edition,
Chloe Rivers
Editor-in-Chief
COO Intelligence
P.S. Interested in sponsoring a future issue? Just reply to this email and I’ll send packages!