Nea ly half of espo de ts cite age t sta da dizatio a d self-imp oveme t as a top co ce , while o e i fou epo t cost visibility challe ges
TEL AVIV, Is ael a d SAN FRANCISCO, Nov. 04, 2026 (GLOBE NEWSWIRE) — Komodo , the Age tic Ope atio s Platfo m compa y, today eleased its 2026 Age tic Ope atio s Su vey, eveali g that e gi ee i g o ga izatio s a e apidly expa di g thei use of AI age ts but emai cautious about g a ti g them g eate auto omy without adequate gove a ce, eliable pe fo ma ce a d cost co t ols.
The su vey fou d that buildi g safe gua d ails is the most f eque tly cited challe ge (53.6%), followed by gove a ce a d secu ity (50.4%) a d sta da dizatio a d accu acy (45.9%). Mea while, ea ly 84% of espo de ts epo t u i g fleets of 10 o mo e ope atio al age ts, u de sco i g the g owi g eed fo a sha ed fou datio to ma age age tic fleets safely a d efficie tly at scale.
The su vey of 1,000 e gi ee i g a d tech ology leade s also fou d that 75.7% mai tai some est ictio s o auto omous ope atio s, co st ai i g age ts to ead-o ly tasks, equi i g huma app oval fo cha ges, o limiti g automated actio s to o c itical wo kloads. Mea while, p oductio i cide t i vestigatio (43.2%) a d emediatio (44.2%) a e ea ly tied amo g leadi g AI age t use cases, demo st ati g g owi g dema d fo automatio that ca both diag ose a d esolve p oductio p oblems.
The fi di gs highlight a g owi g co ce : o ga izatio s a e expa di g AI automatio ac oss c itical i f ast uctu e faste tha they a e establishi g co siste t policies a d tech ologies to co t ol what age ts ca access, cha ge, a d execute.
Read the full 2026 Age tic Ope atio s Su vey he e: https://komodo .com/ esou ces/komodo -2026-age tic-ope atio s-su vey- epo t/
“We’ve see this patte befo e whe e te p ises bega scali g mic ose vices. Buildi g o e age t is st aightfo wa d, but ope ati g hu d eds ac oss p oductio e vi o me ts i t oduces a e ti ely diffe e t set of challe ges,” said Be Ofi i, co-fou de a d CEO of Komodo . “But the e’s a c itical diffe e ce this time: age ts ca make decisio s a d take actio s o thei ow . What’s eeded is a sha ed fou datio that gives age ts the ope atio al co text to make i fo med decisio s, e fo ces app op iate co t ols, a d co ti uously evaluates thei pe fo ma ce as they take o mo e espo sibility.”
Beyo d the g owi g auto omy of p oductio AI age ts, the esea ch ide tified fou sig ifica t t e ds:
Gove a ce a d co t ol emai top p io ities: Buildi g safe gua d ails is the most f eque tly cited challe ge (53.6%), followed by gove a ce a d secu ity (50.4%). A othe 42.7% ide tify i sufficie t visibility i to age t pe missio s. The fi di gs u de sco e the eed fo e gi ee i g o ga izatio s to co t ol what age ts ca access a d execute while e su i g thei decisio s emai eliable a d co siste t ac oss p oductio wo kflows.E su i g eliable AI age t outcomes emai s a majo challe ge: Nea ly half of espo de ts (45.9%) a k sta da dizatio amo g thei top th ee challe ges, illust ati g the eed to e su e age ts p oduce co siste t, accu ate esults. Co ti uous evaluatio agai st eal ope atio al sce a ios, testi g cha ges to models a d p ompts, a d usi g pe fo ma ce feedback to imp ove age ts ove time a e esse tial as o ga izatio s expa d auto omous ope atio s.AI-d ive developme t puts g eate p essu e o p oductio ope atio s: As codi g age ts accele ate softwa e developme t, SRE, DevOps a d platfo m e gi ee i g teams face g owi g dema ds to ma age deployme ts, i vestigate i cide ts a d esolve p oductio p oblems. The su vey eflects this shift, with outi e task automatio (49.1%), suppo t ticket t iage (47.1%), self- emediatio a d AI SRE (44.2%), a d i cide t i vestigatio (43.2%) amo g the leadi g age tic use cases. CI/CD pipeli es we e ide tified by 36.8% of espo de ts, highlighti g the expa di g ole of AI age ts ac oss softwa e delive y a d ope atio s.AI age t spe di g g ows while cost visibility lags: Mo e tha two-thi ds of espo de ts (68.4%) epo t spe di g at least $10,000 mo thly o AI age ts, i cludi g 38.4% spe di g $50,000 o mo e a d 12% spe di g at least $250,000. Yet 5.8% ca ot say how much thei o ga izatio s spe d, while 25.8% a k i adequate cost visibility, budgeti g, o spe di g limits amo g thei top th ee challe ges. Without co siste t t acki g of expe ses by age t a d wo kflow, o ga izatio s isk u expected cost i c eases as automatio expa ds.
Togethe , the fi di gs show that e gi ee i g o ga izatio s a e adopti g AI age ts ac oss a g owi g a ge of ope atio al tasks while emai i g cautious about g a ti g them u est icted auto omy i p oductio . As fleets expa d, SRE, DevOps, a d platfo m teams face i c easi g p essu e to sta da dize age t ma ageme t, mai tai eliable pe fo ma ce, a d co t ol ope ati g costs without addi g to thei ow wo kload.
Komodo ‘s 2026 Age tic Ope atio s Su vey exami es the adoptio of AI age ts ac oss e gi ee i g o ga izatio s, i cludi g fleet size, spe di g, ope atio al use cases, gove a ce challe ges, a d levels of auto omy. The esea ch cove s 1,000+ su vey espo ses f om e gi ee i g, IT, a d tech ology oles, i cludi g cloud i f ast uctu e, platfo m e gi ee i g, softwa e developme t, a d SRE. Mo e tha 45% of espo de ts hold di ecto -level o highe positio s, while ea ly 85% wo k i o ga izatio s with at least 100 e gi ee s, i cludi g 28.5% with 500 o mo e.
Komodo is the compa y behi d the Komodo Age tic Ope atio s Platfo m. E te p ises ely o Komodo to automate SRE, Softwa e Ope atio s, a d cost optimizatio i p oductio , a d to build, u , gove , a d optimize thei ow custom age ts o the same i f ast uctu e. T usted by Fo tu e 500 compa ies ac oss fi a cial se vices, healthca e, etail, a d mo e, Komodo elimi ates ope atio al complexity while imp ovi g applicatio pe fo ma ce a d esilie ce. The compa y has aised $90M i ve tu e fu di g f om leadi g i vesto s i the US a d EMEA. Fo mo e i fo matio , visit komodo .com, a d follow us o Li kedI a d X.
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