State-Level Institutional Capacity Assessment

Montana

MT · Gov. Greg Gianforte (R) · rural low density

Systematization
·

Population

1.1M

GSP

$65B

Total Budget

$8B

Budget / capita

$6,667

Legal Regime

Home Rule

Systematization · Primary constraint

Building Montana's state-government innovation infrastructure to match its strong fiscal architecture (18% rainy-day; AA bond ratings; 75% pension funded) and full-CB workforce, while serving 7 federally recognized tribes and managing 22% population growth (highest-bracket states) without a discrete digital service team. MT has CIO Gilbertson + SITSD consolidation + Gianforte's tech-founder governance background — but with 3 innovation markers, no CDO, no innovation office, and no R4A certification, institutional capacity is thin. Cluster B work is converting Gianforte-era IT investments into durable practice that survives administration changes.

01

Governance Architecture

Gubernatorial appointmentmoderate
Line-item vetoYes
Budget authorityexecutive
Legislaturepart-time · bicameral
Home rule to localitiesYes
Preemption posture on citieslow
02

Workforce Structure

Civil servicemerit
Public-sector CBfull
Merit protectionsstrong
State Hatch analogYes
Total state employees12K
Trajectorystable
03

Fiscal Architecture

Total budget$8B
Revenue mixInc 47% · Sales 0% · Fed 37%
Bond ratingsAa1 / AA / AA+
Rainy day fund18% of budget
Structural balancebalanced
Pension funded ratio75%
Volcker gradeB (FY2018-2020)
04

Scale & Complexity

Population1.1M
GSP$65B
GSP per capita$57,778
Agencies35
Federal grant dependence36.8% of revenue
05

External Environment

Federal funding per capita$11,800
Federal installations4 named
TrifectaR-trifecta
Economic archetyperural low density

Montana's economy concentrates around Billings (oil refining, regional healthcare), Bozeman (Montana State + booming tech in-migration, Resnet, RightNow), Missoula (U Montana + creative-economy), and Helena (state government). Eastern Montana runs on oil/gas (Bakken extension) + agriculture. Western Montana operates on tourism (Glacier NP, Whitefish, Big Sky), timber, and second-home migration. The state has full public-sector CB (unusual for Plains state), strong fiscal discipline (Aa1/AA/AA+, 18% rainy-day, 75% pension funded), and no sales tax. Federal-grants dependency (36.8%) is elevated by 29% federal land share + 7 tribal nations + rural cost structure. Gianforte R-trifecta (2021–) with tech-billionaire-governor agenda (Bozeman-area Right Now Technologies founder).

06

Innovation Assets

Innovation markers3 / 8
State CIOKevin Gilbertson
Digital service teamState Information Technology Services Division (SITSD) — Department of Administration
R4A 2024Not certified
GFOA ACFRYes
NASCIO awards (5y)0
State AI governance policyNo
Performance contractinglimited

Peer states share structural profile (cluster, scale, archetype). Peer match is intra-level — states match states.

01

State Digital Service Delivery

H2+ · high complexity

Establishing and resourcing a state-level digital service team (NJ OOI, CA ODI, GA Technology Authority, MN IT Services, UT OOI, FL Digital Service) to modernize benefits delivery, citizen-facing portals, and inter-agency data exchange. Draws on the USDS / Code for America playbook applied at state scale, the Beeck Center's Digital Government Network (formerly Digital Service Network, merged early 2026), and Bloomberg's What Works Cities adaptation.

For Cluster B (Systematization)

For Cluster B states, stand up a digital service team if absent (5-15 FTE), audit the 5 most-used citizen services, and ship measurable improvements within 12 months. Use the Beeck Center DGN as peer-benchmarking network.

H2- absorption risk

H1 absorption pattern: 'state digital transformation' becomes a multi-year ERP procurement that ports paper processes to PDFs without changing the underlying service experience. Healthcare.gov pre-rescue is the canonical case at federal level; CMS-funded MITA Medicaid IT projects are the state equivalent. The H2+ test is whether the state is building durable internal digital service capacity or just procuring vendor-led platforms.

02

Evidence-Based Policymaking

H2+ · high complexity

Building state-level institutional infrastructure for data-driven decision-making across major budget line items and policy decisions. Draws on the Results for America State Standard of Excellence framework, the Pew-MacArthur Results First Initiative, and the state-government adaptations of the J-PAL / Abdul Latif Jameel Poverty Action Lab evaluation methodology applied through state-level offices (Tennessee Office of Evidence and Impact, MN Performance Management, NC Office of Strategic Partnerships).

For Cluster B (Systematization)

For Cluster B states, the target is R4A Honorable Mention → Silver → Gold progression. The certification process itself is the intervention — it systematizes data practices across executive branch agencies in 12-24 months. Build the state Office of Evidence and Impact with dedicated personnel.

H2- absorption risk

H1 absorption pattern: state Office of Evidence and Impact stands up but produces reports no one reads; performance metrics defined by departments themselves, optimizing for legibility rather than impact. Or, R4A certification achieved but practices don't outlive the certification cycle — evaluation office staffed but not influential on actual budget decisions. The H2+ test is whether evidence actually changes the marginal-dollar allocation between programs from one budget cycle to the next.

Population Δ (10 yr)+10.5%
Median household income$66,800
Poverty rate12%
ALICE threshold36%
Uninsured rate8%
Industry diversity60 / 100
Monoeconomy riskmoderate
R4A engagementNot certified
Bachelor's or higher33%

This is a living diagnostic. Spot something wrong or out of date? Suggest a sourced edit, or add context for other public innovators. Contributions are reviewed before they go live — sourced corrections are applied to the underlying data, improving it over time.

Sources

The Civic Infrastructure Diagnostic Framework’s structural elements — the four cluster labels, the six capacity dimensions, and the binding-constraint framing — are licensed under CC BY 4.0. Anyone may use or adapt them with attribution. Tool implementation and full article text © 2026 JTV Advisory LLC.