21,000+ strategic plans analyzed

AI is ready. Your data isn't.

83% of metrics have no owner. Five questions tell you what AI would find in your plan.

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2 minutes · no email

Ask AI about your plan

“Which measures have no owner?”

“Which owners never reported?”

“Which projects actually finished?”

Answer, across 597 organizations

83%272,360 of 327,582 metrics carry no owner at all.
61.9%Of 55,222 owned metrics, this share never got one written update from its owner.
16.1%Of 100,925 projects already past their end date, only this share is marked complete.

ClearPoint platform data, January 2026 snapshot.

Every 100 metrics

17 have an owner.

OwnedNo owner

AI doesn't fix that. It reports it faster.

83% of metrics carry no owner at all — 272,360 of 327,582. ClearPoint platform data, January 2026 snapshot.

What AI meets first

The gap is not model access. It is what the record already says.

Your record todayWhat AI needs
A name in an owner columnA written status, every period
10 measures under 1 objectiveEvery measure linked to a goal
“In progress” for three quartersA recorded result and a reason
8.7 manual updates per loginNumbers that arrive on their own

The phantom owner rate

Share of owned metrics that never got a written update, by sector.

Healthcare80.3%n = 4,627 metrics, 28 organizations
Financial services68.1%n = 4,637 metrics, 17 organizations
Government agency68.0%n = 7,571 metrics, 41 organizations
Local government62.5%n = 21,953 metrics, 98 organizations
Energy and utilities51.7%n = 3,592 metrics, 15 organizations
Education50.2%n = 2,508 metrics, 29 organizations

Sector comes from the platform's own industry field, not from name matching. ClearPoint platform data, January 2026 snapshot.

Where does your plan sit?

Five questions. One score. Your priority named.

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The assessment

Two details.

Your sector sets your benchmark.

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Five questions follow. Each one names what the platform record says about it.

Question 1 of 5 · Data foundation

A number looks wrong. How fast can someone say why?

52.0%of 10,046,276 status records report no result at all
1Nobody can say. That person left in 2024.
2One analyst can, from a workbook on their own drive.
3Two days, after emailing three departments.
4Each measure names a source and a refresh date.
5Source, owner and last refresh sit on the measure.

Question 2 of 5 · Framework maturity

Can you name the objective each measure moves?

10 : 1median plan: 10 measures, 1 objective
1A list of 40 KPIs and a plan PDF. They never meet.
2Objectives in the plan doc, measures in the deck.
3Most sit under a pillar. Nobody audits the mapping.
4One objective each, and orphans get flagged quarterly.
5All linked. We retire measures that serve no goal.

Question 3 of 5 · Accountability

A measure slipped. Who wrote that down?

61.9%of named owners never wrote one update
1Nobody. A name in a column is the whole system.
2It gets typed the two days before the board meeting.
3Owners answer when chased. We chase quarterly.
4A short status each month, gaps visible to leadership.
5A reason and a next action monthly, unprompted.

Question 4 of 5 · Reporting

What does your report say about projects that didn't finish?

16.1%of overdue projects are marked complete
1Nothing. Projects aren't in the report.
2The slide has said “in progress” for three quarters.
3We list the slips. The reason lives in someone's head.
4Each slip carries a reason, an owner, a revised date.
5Each slip names the measure it blocked and the decision needed.

Question 5 of 5 · Integration

How much of the reporting month is moving numbers by hand?

8.7 : 1data updates per login, 2025
1Two weeks. One person retypes five systems.
2A few days. We paste from exports and hope.
3One day, for the awkward measures.
4A morning. Most arrive by integration.
5None. The month goes to reading them.
See my score

Where the score is held down

What each dimension costs you

Named, with what the platform record says about each.

1 · Data foundation and quality

An AI summary of this record repeats a number nobody can source.

In ClearPoint

Every measure carries a source, an owner and a last-refresh date on the record itself.

2 · Strategic framework maturity

Measures that move no objective still get reported. Nobody can say which ones matter.

In ClearPoint

Measures link to objectives. Anything unlinked shows up in a list you can work through.

3 · Update and accountability culture

Names in the owner column, silence in the record. A board hears that as progress.

In ClearPoint

Owners get a due date and a field to write in. Missed updates are counted, not guessed.

4 · Reporting and decision infrastructure

A project passes its end date and the report says nothing. The slip surfaces a quarter late.

In ClearPoint

Overdue projects surface with their owner, their reason, and the measure they hold up.

5 · Technology and integration readiness

Reporting time goes to retyping. The month closes before anyone reads the numbers.

In ClearPoint

Numbers arrive by integration or import, so the reporting month goes to the discussion.

Four pages, ready to forward

Your score, written up for someone else.

Four pages on your plan: the score, your sector's real record, and a 90-day plan.

Your five answers, and the two dimensions holding the score down.

What the record actually looks like in your sector, with sample sizes.

Three moves, dated, each with a role that signs it off.

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In ClearPoint, this score stops being self-reported.

Owners, sources and written updates live on the record, so the gaps are counted, not estimated.

Plans already kept this way

The four phases

Your five answers, each rated 1 to 5, multiplied by four. A 20 to 100 range.

0–39

Foundation

No named owners. AI would summarize a record nobody maintains.

40–59

Building

Names exist, updates don't. Ownership on paper, silence in the record.

60–79

Acceleration

Measures hold. Projects still pass their end dates unexplained.

80–100

Optimization

Owned, current, read. Point AI at the record, not the warehouse.

Bring your score. Leave with a plan.

Thirty minutes, starting on your lowest dimension.

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Questions

Is our KPI data ready for AI?

Your KPI data is ready for AI when every measure carries a named owner, a source, and a recent written status. Across 21,000+ strategic plans from 597 organizations, ClearPoint platform data shows 83% of metrics have no owner assigned at all (272,360 of 327,582). An AI layer reading that record inherits the gap, then reports it faster.

What is an AI readiness assessment for local government?

An AI readiness assessment for local government scores whether a city's performance record - objectives, measures, projects and owners - can support automated analysis. Most versions grade infrastructure. In local government, ClearPoint platform data shows 62.5% of owned metrics never receive a written status update from their named owner (n = 21,953 metrics, 98 organizations). That is the constraint an AI pilot meets first.

What does public sector AI readiness actually depend on?

Public sector AI readiness depends less on model access than on whether the strategic record is maintained by named people. In the January 2026 snapshot, 52.0% of 10,046,276 performance status records say No Information, No Data or Data Error instead of reporting a result. That share is identified by keyword on a multilingual free-text field, so treat it as a floor.

How is AI governance readiness different from AI readiness?

AI governance readiness asks who is accountable for a number before a model uses it. AI readiness usually asks whether the data is reachable. The distinction decides outcomes: of the 55,222 metrics that do carry a named owner, 61.9% have never once received a written status update from that owner. Governance without a written record is a column of names.

How is this score calculated?

The score is the sum of your five answers, each rated 1 to 5, multiplied by four, giving a 20 to 100 range. Four phases follow: Foundation (0-39), Building (40-59), Acceleration (60-79), Optimization (80-100). Answers are self-reported and are never compared against your own ClearPoint account.

What data are these benchmarks built on?

The benchmarks come from ClearPoint platform data: 21,000+ strategic plans from 597 organizations. Element-level figures use a January 2026 snapshot, and the update-to-login ratio covers 2025. Project completion is recorded completion - a team can finish work without checking the box - so those figures are a floor, not a measure of failure.

Method

Where these numbers come from

Every benchmark on this page comes from ClearPoint platform data. The corpus figure — 21,000+ strategic plans from 597 organizations — counts every plan built on the platform, active and archived. The element-level figures on ownership, status records, project completion and project duration come from a January 2026 snapshot of organizations live at that date. The update-to-login ratio covers calendar year 2025 and excludes ClearPoint staff accounts.

Two deliberate limits, stated rather than hidden. Project completion is reported as recorded completion: a team can close work without setting the flag, so the figure is a floor, not a measure of failure. The no-result share of status records is identified by keyword across a multilingual free-text field, so it is also a floor. Where a claim could not be reproduced from the data, it does not appear on this page.

Sector comes from the platform's own industry field rather than from matching organization names, so the sector figures carry no “n is a floor” caveat. Your answers are self-reported and are never compared against your own ClearPoint account.