AI-Based Decision Making
Decision intelligence software splits into automation (autonomous decisioning, e.g. FICO Decision Modeler, Aera Technology) and augmentation (human-aided recommendations, e.g. Hightouch AI Decisioning, Domo). Gartner published its first-ever Magic Quadrant for Decision Intelligence Platforms on January 26, 2026, naming FICO, SAS, Aera Technology, IBM, ACTICO and Quantexa as Leaders; the global market was valued at $16.34B in 2025, projected to reach $68.2B by 2035 (15.36% CAGR). Pricing spans no-code SaaS scoring tools like GiniMachine (from ~$1,000/mo) to consumption-billed enterprise suites: Domo medians $50,000/year (Vendr), Hightouch's median annual contract is ~$15,000. Explainability/audit-trail depth — full decision provenance to the transaction level — is the differentiator Gartner cites for 'trusted automation at scale.'. Pricing: No-code scoring SaaS (GiniMachine) starts near $1,000/mo with custom quotes above; Hightouch AI Decisioning starts ~$1,000-1,500/mo with median annual contracts near $15,000; Domo's credit-based model medians $50,000/year (range $10,920-$175,245 across 91 deals, per Vendr) and enterprise deployments (200+ users) often exceed $300,000/year; FICO and SAS use consumption/usage-based enterprise pricing Gartner's 2026 Magic Quadrant flags as "complex" and "non-flexible" respectively.
Pick a decision-intelligence platform when machines must MAKE high-volume calls (credit approvals, collections, real-time offers) with an audit trail regulators accept: FICO and Aera Technology are 2026 Gartner Leaders built for that. Don't buy one just to visualize dashboards — that's Domo or Tableau territory, and Domo's own consumption-credit pricing (median $50K/year per Vendr) punishes the ad-hoc querying decision platforms exist to replace. Even Gartner's Leaders admit limits: FICO's usage-based pricing is 'complex,' SAS's is 'non-flexible,' and Aera is unprofitable with customer concentration in manufacturing/oil & gas. None of these are set-and-forget — every Leader still needs a human reviewing the trail. Known weakness: Gartner's own 2026 Leaders quadrant flags real limits: FICO's consumption-based pricing is called "complex," SAS's pricing structure is "non-flexible," and Aera Technology is unprofitable with customer concentration in manufacturing/oil & gas — meaning "explainable automation" still requires a human reviewing the audit trail before trusting an autonomous decision.