{"id":54,"date":"2026-04-21T10:13:53","date_gmt":"2026-04-21T10:13:53","guid":{"rendered":"https:\/\/ternaryappdev.wpenginepowered.com\/?page_id=54"},"modified":"2026-05-06T15:59:23","modified_gmt":"2026-05-06T15:59:23","slug":"ai-investment-governance","status":"publish","type":"page","link":"https:\/\/ternary.app\/?page_id=54","title":{"rendered":"AI investment governance"},"content":{"rendered":"\n
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AI Investment Intelligence<\/h5>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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6 in 7 CFOs cannot answer the board’s AI ROI question. The other 1 is guessing.<\/em><\/em><\/span><\/h1>\n\n\n\n

Only 14% of CFOs can report measurable AI ROI. AI spend is growing 3.2x. The attribution infrastructure doesn’t exist. And the board is already asking. Ternary closes the gap \u2014 before the next earnings call.<\/p>\n<\/div>\n\n\n\n

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Book a briefing<\/a><\/div>\n\n\n\n
Take the assessment<\/a><\/div>\n<\/div>\n\n\n\n
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Attending Gartner Finance Symposium? Reserve a meeting<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Full-stack AI investment intelligence<\/em><\/em> <\/em><\/h2>\n<\/div>\n\n\n\n
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User & team-level attribution \u2014 first<\/h4>\n\n\n\n

Who is consuming AI, by individual developer, team, and product \u2014 before the question of which model. The ‘who’ question Finance gets first, answered first.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Credit burn rate & accrual accuracy<\/h4>\n\n\n\n

Actual AI consumption mapped against contract periods. Surface overruns before they become unbudgeted invoices. End the smooth-spread accrual that masks reality.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Shadow AI detection<\/h4>\n\n\n\n

Discover ungoverned AI spend across the organization. API keys, model endpoints, and inference costs surfaced from cloud billing data \u2014 Cursor, Glean, Anthropic direct, Bedrock, and beyond.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Board-ready ROI reporting<\/h4>\n\n\n\n

Pre-built dashboards showing total AI investment, cost per initiative, ROI trajectories, and risk exposure \u2014 formatted for the audit committee, not the engineering review.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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AI budget trajectory \u2014 accrual inaccuracy<\/h6>\n\n\n\n
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Prepaid credits are being spread evenly by Finance over the contract period \u2014 masking the fact that we’re already burning through them ahead of schedule.<\/span> Ternary is where the actual consumption rate lives.<\/p>\n<\/div>\n\n\n\n

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Head of FinOps<\/h5>\n\n\n\n

Enterprise Contact Center SaaS<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Who before what<\/h6>\n\n\n\n
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The primary question I get from leadership is who is consuming AI and at what cost.<\/span> Beyond that: which models are being used and whether they’re being used efficiently. The hardest and most unsolved question is measuring outcomes.<\/p>\n<\/div>\n\n\n\n

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Head of FinOps<\/h5>\n\n\n\n

Enterprise Contact Center SaaS<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Supported AI platforms<\/em><\/em> <\/em><\/h2>\n<\/div>\n\n\n\n
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OpenAI (GPT-4, GPT-4o)<\/h4>\n\n\n\n

Full token tracking<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Anthropic (Claude)<\/h4>\n\n\n\n

Full token tracking<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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AWS Bedrock<\/h4>\n\n\n\n

Model-level attribution<\/p>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Google Vertex AI<\/h4>\n\n\n\n

Model-level attribution<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Azure OpenAI Service<\/h4>\n\n\n\n

Full token tracking<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Self-hosted \/ open-source<\/h4>\n\n\n\n

Compute-based allocation<\/p>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Ready to govern your full technology estate?<\/em><\/span><\/h2>\n\n\n\n

Talk to a Ternary team member who works with Finance leaders every day \u2014 or book a technical demo for your FinOps team.<\/p>\n<\/div>\n\n\n\n

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Book a briefing<\/a><\/div>\n\n\n\n
Take the assessment<\/a><\/div>\n<\/div>\n\n\n\n
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Attending Gartner Finance Symposium? Reserve a meeting.<\/a><\/p>\n<\/div>\n\n\n\n

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Finance-first data model<\/p>\n<\/div>\n\n\n\n

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Judgment infrastructure<\/p>\n<\/div>\n\n\n\n

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SAP \u00b7 Oracle \u00b7 Workday integration<\/p>\n<\/div>\n\n\n\n

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Token-level AI attribution<\/p>\n<\/div>\n\n\n\n

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Vendor lock-in avoidance<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Full-stack AI investment intelligence User & team-level attribution \u2014 first Who is consuming AI, by individual developer, team, and product \u2014 before the question of which model. The ‘who’ question Finance gets first, answered first. Credit burn rate & accrual accuracy Actual AI consumption mapped against contract periods. Surface overruns before they become unbudgeted invoices….<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":49,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"blank-with-header-footer","meta":{"footnotes":""},"class_list":["post-54","page","type-page","status-publish","hentry"],"featured_image_src":null,"featured_image_src_square":null,"_links":{"self":[{"href":"https:\/\/ternary.app\/index.php?rest_route=\/wp\/v2\/pages\/54","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ternary.app\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ternary.app\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ternary.app\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ternary.app\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=54"}],"version-history":[{"count":0,"href":"https:\/\/ternary.app\/index.php?rest_route=\/wp\/v2\/pages\/54\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/ternary.app\/index.php?rest_route=\/wp\/v2\/pages\/49"}],"wp:attachment":[{"href":"https:\/\/ternary.app\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=54"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}