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Outcome-accountable government software

Imagine what your mission could accomplish.

Tell us what needs to work and when. We’ll help shape a result the Government can buy and verify, then carry the work through required reviews, Government acceptance, and a clean handoff.

Talk through the problemSee how the Government can buy it

How the work moves

From mission need to a working result.

The Government sets the result and keeps its decisions. Our team runs compatible work in parallel, then brings it together for each required review.

Government authorityRetained at every decision

  1. Mission needOne consequential problem
  2. Work in parallelMission and execution stay distinct
  3. Bring it togetherOne clear delivery direction
  4. Required gatesSecurity + privacy + 508
  5. Government decisionReview the result and decide

After acceptance

The Government chooses what happens next.

  • Transition + closeoutTransfer the result and close the work
  • Authorize the next objectiveMake a separate decision about more work
Work in parallel. Stay accountable for one result.
  • 01Move the mission problem
  • 02Make timing part of the requirement
  • 03Keep Government decisions in Government hands
  • 04Finish cleanly or decide what comes next

Choose your starting point

Go directly to your next decision.

Start with the question your team needs to answer now.

Accountability that travels

Choose the structure. Keep the result visible.

Contract type allocates cost risk. Performance design defines the result, how it will be measured, and who accepts it. These examples compare incentives; Intelligrit can work through the vehicle, contract type, and teaming approach the Government selects.

01Time-and-materials

Buys Hours and materials

Useful when uncertainty is genuinely too high to estimate. The commercial unit remains time consumed.

02Labor-defined FFP

Buys A fixed-price labor bucket

Price risk changes, but the operating model can still revolve around filling roles and managing activity.

03Outcome-defined FFP

Buys An accepted result

When the result can be priced responsibly, firm-fixed-price cost risk and an explicit acceptance method let delivery efficiency benefit both sides.

Compare acquisition paths with FAR and GSA sources

Proof with provenance

See the work. Judge the limits.

Every record shows the artifact, explains our role, and says where the claim stops.

Artifact / 01Integrity · judged MVP Public artifact
Integrity prototype showing an Oklahoma provider-risk dashboard with summary measures, a county risk map, and investigator navigation.Real prototype artifact · public-data demonstration

ACT-IAC National AI Hackathon · 2026

Four people built and demonstrated the Integrity MVP in 13 days.

Review the result and its limits
Delivery window
13daysFour-person team
Public data processed
548M+rowsAcross 22 CMS datasets
Historical backtest
42%P@10042 of the top 100 matched the validation label
Over the study base rate
890×liftMeasured in the bounded historical backtest

What this result shows

The team processed 548 million public rows and produced a judged MVP in 13 days. This result does not establish federal production past performance, accuracy on current authorized data, production authorization, Government savings, or an independent fraud finding.

When timing matters

Say when it needs to work.

A deadline can be part of the requirement. It does not excuse skipped reviews or weak evidence; it tells a senior team when the software has to become useful.

Fast means useful sooner, with every required control still in place.
Be honest about the riskCommon failure points and the controls that address them
Ambiguous acceptance
Agree on standards, evidence, reviewer, and cure path before delivery.
Hidden dependencies
Name agency access, data, environment, decision, and turnaround assumptions.
Speed without operability
Security, privacy, Section 508, deployment, recovery, and transition are part of done.
Manufactured follow-on
Each increment is independently useful; continuation requires a separate Government decision.
Review the buyer risks and controls →

Latest from the field

Mission Delivery Notes

What we are learning about buying, building, securing, and accepting Government software in the AI age.

  1. Field note13 min

    What I Heard at the ACT-IAC AI Forum

    AI is already in the work. The harder part is making sure it solves a real problem and that a named person remains responsible for the result.

    Nicole Mazkour · Co-Founder & Director of Contracting and ClientsRead the note
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