AI-assisted decision lifecycle management

Make the decisions that shape your products with confidence.

AI finds the blind spots. Decision science weighs the options. Your leaders decide. DAOSoft gives engineering and product leaders one platform to frame consequential choices, compare alternatives with the evidence and trade-offs in view, and carry each decision through review and later change.

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No prepared charter or data upload needed. We can use a representative example.

Connected evidence. Decisions with a history.

Connected evidence. Decisions with a history.Requirements and models, test evidence, and program priorities inform decision work. DAOSoft brings evidence, alternatives and tradeoffs into a recommendation, supported by AI and decision science. A person with authority makes a separate commitment, recorded with its basis. New evidence can prompt reconsideration; earlier and revised decision records remain linked.YOUR ENGINEERING & PROGRAM CONTEXTRequirements& modelsTestevidenceProgramprioritiesReferenced evidence + contextDAOSoft · Decision managementAI + decision science + coordinated workEvidence · alternatives · tradeoffsHuman authorityRecommendationReviewed reasoningHuman commitmentAuthorized actionReconsider when evidence changesEarlier decisionRevised decisionEarlier decision version retained
Connected evidence. Decisions with a history.Engineering evidence and program priorities inform a recommendation. A human with authority makes a separate commitment. Reconsideration preserves earlier and revised records.Requirements, models, test evidenceand program prioritiesDAOSoftDecision managementEvidence, alternativesand tradeoffs informRecommendationReviewed reasoningHuman authorityHuman commitmentAuthorized course of actionReconsider when evidence changesEarlierdecisionReviseddecisionEarlier record retained
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Engineering and program context inform a recommendation. Human authority remains separate. Reconsideration preserves linked earlier and revised decision records.

Engineering has a digital thread. Decisions need one too.

Requirements, models and product configurations have dedicated systems. The reasoning behind a consequential choice can still be scattered across analyses, meetings and presentations.

DAOSoft brings decision science, AI and coordinated decision work together. When a referenced requirement or test result changes, your team can follow the recorded links to the decision basis and determine what needs to be reconsidered.

From an open question to a decision your team can act on.

01

Frame and plan

a decision charter, study methods, evidence needs and assigned work.

02

Analyze and challenge

feasible alternatives, engineering measures, uncertainty and stakeholder judgments.

03

Review and commit

a decision package, an authorized course of action and the record needed to revisit it.

See how the platform works

AI that finds the blind spots, so your leaders can decide with confidence.

AI Review flags missing alternatives, unsupported claims and conflicting assumptions before they reach the review. AI Assist drafts the decision charter, the study plan and evidence summaries for your team to refine. Delegated Execution handles scoped, reversible preparation tasks.

Every AI contribution is attributed and reviewed by a person. AI never approves or commits.

See how governed AI works

Built for everyone in the decision.

Engineering and product leaders

Commit with confidence, with the trade-offs and dissent in view and a record you can revisit.

Product development process owners

Make gate and portfolio decisions consistent, traceable and reusable across programs.

Chief engineers

Compare feasible options with evidence and uncertainty in view, without rebuilding the analysis for every gate.

Program managers

See which decisions are pending, who owns them and the conditions each commitment carries.

Decision analysts

Apply the right method, keep control of the model and spend less time assembling decks.

A foundation of invention and recognized research.

Two issued U.S. patents in collaborative and human–AI decision-making.

Three consecutive years of GVSETS Best Paper recognition, 2024–2026, including Best Overall Paper in 2026.

Developed with U.S. Army SBIR funding from 2019 to 2025, across Phase I, Phase II and Phase II Sequential awards.

Inspect the research, patents and recognition

Start with the choice your program faces.

Compare designs and technologiesScreen alternatives against mandatory requirements, then weigh measures, priorities and uncertainty.Select an investment portfolioFind the mix of projects that fits budget, staff and selection rules, and holds up across scenarios.Coordinate related decisionsLet related studies share evidence while each keeps its own owner and commitment.Adopt a new technology or architectureExamples from defense, automotive and aerospace programs at the gate.

Worked example · synthetic data

See why greater range did not make a package acceptable.

New cold-weather evidence changed the selected package. The requirements stayed the same, and the earlier decision stayed on the record.

Follow the worked example

Bring a decision your team is facing. We will work through it with you.

Request a DemoExplore the Platform

No prepared charter or data upload needed. We can use a representative example.