10
Real-world at scale
Companies running agents in production
Reported Logos are well-attested; exact metrics come from case-study aggregators — verify before quoting externally.
JPMorgan Chase
0
active agentic deployments; LLM Suite serves 200k+ daily users.
Klarna
$0
saved (Q3 2025). Resolution 11 min → <2 min across 35+ languages. ~853 FTE.
Morgan Stanley
0
developer-hours reclaimed. DevGen.AI reviewed 9M lines of legacy code.
Walmart
0
stores running autonomous demand-forecasting agents; zero per-decision approval.
Salesforce
+0
lead follow-up efficiency via Agentforce.
Uber · LinkedIn
LangGraph
in production — Uber ~21k dev-hours saved; LinkedIn's SQL Bot.
11
Adoption & market
Real, but early
Verified Enterprise agent maturity, narrowing toward the top. Gartner projects 40% of enterprise apps will integrate task-specific agents by end of 2026 (from <5% in 2025).
enterprise maturity funnel · Capgemini
Exploring · 61%
Piloting · 23%
Partial · 12%
At scale · 2%
- Reported Average ROI ~171% — but only ~23% see measurable ROI and up to 88% of agents never reach production.
- Failure causes: infrastructure gaps 41% · governance/security 38% · ROI-measurement 33%.
- Market: ~$11–12B (2026) → ~$50–53B (2030) at ~45% CAGR; vertical agents fastest at ~63% CAGR.
- Gartner: >40% of agentic projects at risk of cancellation by 2027.