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OKR vs KPI: The Difference, Real Examples, and How They Work Together

OKR vs KPI: the difference, a side-by-side table, real examples from government, healthcare and higher ed, and what ClearPoint data shows about ownership.

Ted Jackson
Ted Jackson
Co-Founder & Alabama Native
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Strategy vs. Tactics: Differences, Examples and Data From Real Plans

October 1, 2026
Strategy sets the outcome; tactics are the owned, time-bound work that delivers it. A side-by-side table, examples by sector and what ClearPoint platform data shows.
Ted Jackson
Ted Jackson
How Cities Turn Strategic Plans Into Results in 2026 — city hall skyline at dawn with a construction crane

How Cities Turn Strategic Plans Into Results in 2026

September 13, 2026
The gap between a city's plan and its results is measurable. It opens in four places, and five moves close it.
Alexandre Teulade
Alexandre Teulade
Council chamber still life illustrating aligning public sector plans and budgets

How to Align Public Sector Plans and Budgets in 2026

September 8, 2026
Plans and budgets agree on adoption day, then drift all year. Data from 41,397 initiatives in 120 local governments, and the reconciliation that holds.
Ted Jackson
Ted Jackson

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Joseph LuccoQuantive to ClearPoint Migration Guide: Everything You Need to Know

Quantive to ClearPoint Migration Guide: Everything You Need to Know

Quantive is now WorkBoard — an honest guide to the forced migration and when ClearPoint is the right place to land.

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Alexandre TeuladeAI Governance for Local Government: What State Laws Mean for Your Organization

AI Governance for Local Government: What State Laws Mean for Your Organization

A law can pass and still produce no governance. Here is what state AI laws mean for local government — and how to build a framework that actually holds.

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Alexandre TeuladeHow NYPA Manages AI Governance Inside ClearPoint

How NYPA Manages AI Governance Inside ClearPoint

How one of the largest public power organizations in the U.S. runs AI governance inside ClearPoint - owners, status, risk, and board-ready reporting in one system.

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Alexandre TeuladeShadow AI: How to Map What You Can't See (And Why It's Your Biggest Risk)

Shadow AI: How to Map What You Can't See (And Why It's Your Biggest Risk)

Per IDC (2025), 56% of employees use unauthorized AI tools and only 23% use governed AI. Here's how public agencies discover shadow AI and bring it under governance.

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Alexandre TeuladeNIST AI RMF Explained: How GOVERN, MAP, MEASURE, and MANAGE Apply to Your Organization

NIST AI RMF Explained: How GOVERN, MAP, MEASURE, and MANAGE Apply to Your Organization

The NIST AI RMF organizes AI governance into four functions. Here's what GOVERN, MAP, MEASURE, and MANAGE actually mean - and how to make them operational.

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Alexandre TeuladeBoard-Ready AI Reporting: From Chaos to 60-Second Exports

Board-Ready AI Reporting: From Chaos to 60-Second Exports

Your board wants an AI governance update. Here's how to go from spreadsheet chaos to a board-ready AI report in minutes, with owners, risk tiers, and live data.

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Alexandre TeuladeAI Initiative Inventory: The First Step to AI Governance

AI Initiative Inventory: The First Step to AI Governance

You can't govern what you can't see. Here's how to build an AI initiative inventory that maps every AI tool, owner, and data source across your organization.

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Alexandre TeuladeAI Governance Compliance 2026: The Complete Guide for Strategic Leaders

AI Governance Compliance 2026: The Complete Guide for Strategic Leaders

The complete 2026 guide to building an executable AI governance program, from the NIST AI RMF to board-ready reporting.

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How AI Is Transforming Strategic Planning in 2026

How AI Is Transforming Strategic Planning in 2026

AI can write a strategic plan in minutes, but it won't execute it. Here's what AI does well, where it hits a wall, and how to close the execution gap.

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Ted JacksonStrategic Planning for Local Government: A Complete Guide for City Leaders

Strategic Planning for Local Government: A Complete Guide for City Leaders

Local-government strategic plans don't fail at the whiteboard, they fail at ownership. A data-driven city guide from 156 cities and 52,247 objectives.

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