The policies, roles, controls, and oversight processes an organisation establishes to ensure that artificial intelligence is used safely, ethically, securely, and in compliance with applicable laws, regulations, contracts, and organisational requirements. In bid and proposal management, AI governance typically defines who may use AI tools, what information they may access, how outputs are reviewed and approved, and how risks such as confidentiality, bias, and inaccuracy are managed.
AI Governance
The policies, roles, and controls an organisation uses to ensure AI is used safely, ethically, and in compliance with laws and contracts.
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Thirty to forty questions. Sometimes a hundred. Capabilities, features, integrations, data handling, FAR and DFARS compliance, export controls, FedRAMP, CMMC, NIST. Almost every answer already exists somewhere in your organisation, written well, reviewed, and approved. The work is not thinking. The work is finding the good version of an answer you have written eleven times before, and rewriting it to fit the way this buyer asked the question.
An independent 3PAO auditor and VisibleThread founders explain CMMC, FedRAMP, and compliance deployment options for federal contractors.
Layer on Davis-Bacon wage provisions, DBE and MBE participation goals, Buy America requirements on federally funded infrastructure, and CUI handling on defense installations, and the document burden bears no resemblance to a commercial RFP. Most proposal software was built to answer questionnaires. AEC teams must dissect solicitations, demonstrate compliance, and carry commitments into delivery.
Related Glossary Terms
The official compilation of permanent U.S. federal laws, providing the statutory basis for many contracting requirements.
A global classification system used to categorize products and services for procurement and spend analysis.
A unique 12-character identifier assigned via SAM.gov to organizations doing business with the federal government, replacing the DUNS number.
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