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IDENTITY INTELLIGENCE FOR GOVERNMENT

The Buy Mandate Just Caught Up with the Build-It-Yourself Pitch

Some agencies are being pitched a custom, homegrown entity resolution build right now, positioned as more control and a system built “for us.” It’s an appealing pitch. It’s also arriving at the exact moment federal procurement policy has moved hard in the opposite direction, and at the exact moment the government’s own data shows what building identity infrastructure in-house actually costs.

KEY TAKEAWAYS
  • The policy has shifted. Since April 2025, a series of executive orders and OMB memoranda have made custom, non-commercial builds procedurally harder to justify, not easier.
  • The track record is public. GAO has kept federal IT acquisition on its high-risk list for over a decade, citing cost overruns and schedule slippage as the recurring pattern.
  • The ROI evidence already exists. A US government agency, Alameda County, deploying a licensed commercial entity resolution delivered a 631 percent ROI with payback in two months.5 ERIC, a government-backed voter roll accuracy programs, has resolved identity across tens of millions of records with measurable results using commercial entity resolution.6
  • Control doesn’t require building. A commercial engine deployed inside an agency’s own infrastructure, with no data flowing to the vendor, delivers the same data sovereignty and audit trail a homegrown system promises, without the multi-year build risk.

The Ground Has Shifted Since April 2025

A balance scale weighing building versus buying entity resolution
Federal agencies have had a commercial preference on the books since 1994, under the Federal Acquisition Streamlining Act. For most of three decades, it was more aspiration than enforcement. That changed starting in April 2025.

Executive Order 14271, Ensuring Commercial, Cost-Effective Solutions in Federal Contracts (signed April 15, 2025), directed agencies to justify any non-commercial procurement in writing. The order itself states that past administrations “evaded statutory preferences and abused the Federal contracting framework” by procuring custom solutions where a commercial one would have worked.1 Executive Order 14275, Restoring Common Sense to Federal Procurement, signed the same day, is driving a full rewrite of the Federal Acquisition Regulation, with the FAR Council’s proposed changes out for public comment through July 23, 2026.2

The enforcement mechanism landed on April 17, 2026, in OMB Memorandum M-26-12, Increasing the Acquisition of Commercial Products and Services, signed by OMB Director Russell T. Vought. It requires every agency to report all non-commercial contract awards, and for anything over $10 million, the agency’s senior procurement executive must provide market research and a written explanation for why a commercial solution wasn’t used at the next contract option.3 Separately, if an agency wants OMB’s input before soliciting a non-commercial acquisition, a step the order makes available but doesn’t require, the senior procurement executive first needs concurrence from the agency’s Chief Acquisition Officer or an equivalent senior non-career official before that request even reaches OMB.3

OMB’s own justification for the crackdown: in fiscal year 2024, more than two-thirds of total federal contract spending reported through the Federal Procurement Data System was for non-commercial products and services, including over $130 billion for common services like professional support and IT, much of it under cost-reimbursement contracts.3

A government account that chooses to build a custom entity resolution system now has to generate a documented paper trail justifying why they didn’t buy one instead.

The practical effect of the current federal procurement policy

Note: this policy shift applies to federal executive branch procurement specifically. State, local, and quasi-governmental agencies aren’t directly bound by these executive orders and OMB memos, though the cost and track-record evidence below applies just as directly.

The Mandate Exists Because the Track Record Is Bad

An open toolbox of interlocking software and data modules
This isn’t a policy preference invented in a vacuum. GAO has kept federal IT acquisition and management on its high-risk list since 2015. Its most recent assessment found 463 of 1,881 IT-related recommendations to agencies and OMB, issued since 2010, still unimplemented. GAO’s own words: “federal IT investments too frequently fail or incur cost overruns and schedule slippages” while delivering little on their intended mission outcomes.4 Entity resolution is a specific, narrow case of a pattern GAO has documented at the portfolio level for over a decade. It’s a mistake to assume any given agency’s homegrown build will be the exception. It’s also worth noting why: entity resolution is one of the most complex algorithmic challenges in data management, data quality, prediction systems, and AI. Building industrial-strength, commercial-grade entity resolution technology has historically required investments in the tens of millions of dollars, which is exactly what the next section lays out.

What Building It Actually Costs, and What Buying It Has Delivered

Separate from the policy question, there’s the plain economics. Based on more than 350 person-years of engineering experience building entity resolution technology, an organization attempting to build in house should expect to spend roughly $1 million to reach about 70 percent of the feature set found in a mature commercial solution. Reaching 80 percent moves that estimate to around $5 million. Reaching 90 percent, the estimate rises to roughly $30 million, and even then, the result isn’t considered competitive with a purpose-built commercial engine. Pushing further, from roughly 92 percent to 95 percent, can require a ground-up rewrite rather than incremental investment.

$1M
to reach ~70% of a mature solution’s feature set
$5M
to reach ~80%
$30M
to reach ~90%, still not competitive

The build side of the ledger is a cost curve that gets steep fast. The buy side of the ledger already has a real government track record behind it.

CASE STUDY
Alameda County Social Services Agency

Caseworkers were handling up to 600 cases each, manually searching across disconnected agency systems to piece together a complete picture of every client. Working with IBM, the agency deployed identity resolution technology, built by the same core engineering team that later built Senzing, as the foundation of its Social Services Integrated Reporting System. The result was an independently audited 631 percent ROI, with the investment recouped within two months of going live and ongoing savings of $24 million per year. The deployment won the 2011 Nucleus Research ROI Top Ten Award, the 2010 Computerworld Honors Laureate, and an IBM Innovation Award for Outstanding Smarter Planet Solution. Source: Computerworld Honors Laureate (2010); Nucleus Research ROI Award (2011); IBM Innovation Award for Outstanding Smarter Planet Solution.5

631%
ROI
2-month
PAYBACK
$24M/yr
ONGOING SAVINGS
CASE STUDY
ERIC (Electronic Registration Information Center)

ERIC is a nonpartisan, state-government-backed nonprofit that helps member states maintain accurate voter rolls, running on Senzing® entity resolution today. By resolving identity across state voter registration data, state DMV records, and Social Security Administration deceased-persons data, ERIC has identified close to 30 million in-state moves and updates that had gone undetected, flagged nearly 14 million out-of-state moves, and identified over 659,000 deceased voters still on the rolls. Source: Data provided by ERIC. See ericstates.org.6

~30M
IN-STATE MOVES IDENTIFIED
~14M
OUT-OF-STATE MOVES FLAGGED
659K+
DECEASED VOTERS IDENTIFIED

The Control Need Answered Directly

The real appeal of a homegrown pitch to a government buyer usually isn’t cost. It’s control: data sovereignty, no vendor lock-in, an audit trail the agency owns. Those are legitimate concerns, and the answer isn’t to dismiss them. A commercial engine deployed on premises or in an agency’s own cloud, with no data ever flowing back to the vendor, delivers the same sovereignty without the multi-year build risk. Any mature commercial entity resolution engine, ours included, gives every resolution decision a full audit trail showing why records matched and what drove the decision. That is the explainability government compliance and oversight functions actually need, and it is a property of buying a mature commercial solution generally, not something unique to any one vendor. That directly answers the reason a homegrown pitch sounds appealing in the first place.

THE BOTTOM LINE

The federal government has spent the past year making it procedurally harder to choose a custom build over a commercial buy. GAO has spent over a decade documenting why. And a US government agency deploying entity resolution has already delivered a 631 percent ROI. The evidence points the same direction the policy does.

Sources

  1. 1
    Executive Order 14271, Ensuring Commercial, Cost-Effective Solutions in Federal Contracts, signed April 15, 2025, published in the Federal Register April 18, 2025 (90 FR 16433). whitehouse.gov | federalregister.gov
  2. 2
    Executive Order 14275, Restoring Common Sense to Federal Procurement, signed April 15, 2025. whitehouse.gov. FAR Case 2026-001 proposed rule (implementing E.O. 14275), Federal Register, published June 23, 2026, comment period through July 23, 2026. federalregister.gov
  3. 3
    OMB Memorandum M-26-12, Increasing the Acquisition of Commercial Products and Services, signed by OMB Director Russell T. Vought, April 17, 2026. Full text, whitehouse.gov (PDF)
  4. 4
    U.S. Government Accountability Office, High-Risk Series: Critical Actions Needed to Urgently Address IT Acquisition and Management Challenges, GAO-25-107852, published January 23, 2025. gao.gov
  5. 5
    Computerworld Honors Program Laureate recognition (2010) and Nucleus Research ROI Award (2011), both covering the Alameda County Social Services Agency deployment of IBM InfoSphere Identity Insight; also recognized with an IBM Innovation Award for Outstanding Smarter Planet Solution.
  6. 6
    ERIC (Electronic Registration Information Center), published deployment data. ericstates.org
  7. 7
    Forrester Consulting, The Total Economic Impact™ Of Senzing, commissioned by Senzing, composite-organization study. tei.forrester.com
  8. 8
    ROI NOTE: The build-cost curve ($1M/$5M/$30M) is a Senzing published estimate based on internal engineering history, not an independently audited figure. Alameda County ran IBM InfoSphere Identity Insight, a predecessor generation of entity resolution technology built by the same engineering lineage that later built Senzing, not a current Senzing commercial product. The 631% ROI and $24M figures come from Computerworld’s and Nucleus Research’s independent recognition of that deployment; the Forrester TEI figure, if this piece is extended to include it, is a vendor-commissioned study of a composite organization, not this specific deployment.7