Compa y ecog ized fo st e gths i deep, ative SAP i teg atio a d age tic AI via MCP
MONTREAL, Nov. 10, 2026 (GLOBE NEWSWIRE) — Nakisa, a global e te p ise softwa e p ovide fo lease admi ist atio , accou ti g, a d po tfolio ma ageme t ac oss multiple asset types, i cludi g p ope ty, equipme t, la d, a d fleet, today a ou ced that it has bee amed a Leade i the IDC Ma ketScape: Wo ldwide AI-E abled Lease Admi ist atio Applicatio s 2026 Ve do Assessme t.
Nakisa was o e of five ve do s ecog ized i the Leade s Catego y amo g the 12 evaluated i the wo ldwide assessme t. The IDC Ma ketScape evaluates ve do s ac oss two dime sio s: cu e t capabilities a d st ategies fo meeti g evolvi g e te p ise equi eme ts ove the ext th ee to five yea s.
The IDC Ma ketScape ide tifies two st e gths i Nakisa’s offe i g, desc ibed i the epo t as follows:
Deep, ative SAP i teg atio : A bidi ectio al cloud co ecto pulls SAP maste data with o additio al co figu atio equi ed o the Nakisa side a d ca post updates di ectly back to SAP, letti g high-volume custome s eco cile la ge weekly data deltas. This is a mea i gful adva tage fo the ma y Nakisa custome s that u SAP as thei e te p ise system of eco d.Age tic AI each via MCP: Nakisa’s Model Co text P otocol a chitectu e lets exte al AI age ts que y data, c eate ew lease eco ds, a d complete multistep tasks usi g plai la guage i st uctio s, with authe ticatio p ese vi g a full audit t ail of who pe fo med each actio .
“Fo la ge e te p ises, the questio is ot simply what AI ca automate, but what they ca safely e t ust to it,” said Babak Va java di, CEO of Nakisa. “Lease decisio s depe d o eliable fi a cial a d ope atio al data, deep i teg atio with e te p ise systems, a d co t ols that e su e eve y actio is autho ized a d t aceable. By b i gi g those fou datio s togethe with decisio i tellige ce a d age tic AI, Nakisa is helpi g o ga izatio s move beyo d eco dkeepi g towa d gove ed decisio s a d executio .”
Acco di g to the epo t, “Nakisa IWMS uses AI to pull lease data di ectly f om sou ce docume ts, with the compa y epo ti g oughly 80% of abst actio happe i g fully auto omously, with the emai i g sha e outed to a huma eviewe . The suite i cludes a pu pose-built pe ce tage e t calculatio tool that is a pa ticula diffe e tiato fo etail clie ts, that make up 30–40% of Nakisa’s lease po tfolio custome base. The platfo m co ects to SAP th ough a ative, bidi ectio al cloud co ecto that ca pull maste data with o additio al co figu atio o the Nakisa side a d post updates back di ectly.”
The epo t we t o to say, “Nakisa Decisio I tellige ce (NDI) is the compa y’s fo wa d-looki g AI laye , focused o data collectio a d validatio , i sight ge e atio , a d sce a io-based decisio -maki g, i cludi g ea – eal-time what-if a alysis be chma ked agai st exte al ma ket data sou ces. NDI is cu e tly offe ed as a upsell to the co e platfo m a d is ce t al to Nakisa’s five-yea oad map.”
“Nakisa shows what e te p ise AI i lease admi ist atio should look like: tu i g lease docume ts i to decisio – eady data, co ecti g that data di ectly to accou ti g wo kflows, a d keepi g people i co t ol,” said B ia O’Rou ke, esea ch ma age , E te p ise Asset Ma ageme t a d Sma t Facilities at IDC.
I its a alysis of eme gi g ma ket t e ds, the IDC Ma ketScape obse ves: “Rathe tha just t acki g c itical dates a d obligatio s, lease admi ist atio applicatio s a e i c easi gly ma keted a ou d fo ecasti g a d sce a io tools, i cludi g occupa cy t e ds, e ewal/optio timi g, cash flow fo ecasti g, a d p edictive a alytics fo po tfolio decisio s.”
The epo t also otes, “The compa y f ames its st ategy a ou d th ee mac o t e ds it sees eshapi g the ma ket: lease data movi g f om the applicatio laye to a mo etizable data laye , eal estate ope atio s shifti g f om a suppo t fu ctio towa d a capital efficie cy leve , a d systems of eco d evolvi g i to systems of actio that ca pe fo m tasks athe tha just sto e i fo matio .”
Acco di g to the epo t, “Co side Nakisa if you’ e a la ge e te p ise with a complex, high-volume, multicu e cy lease po tfolio that wa ts lease admi ist atio built i to a b oade IWMS emphasizi g age tic AI a d fo wa d-looki g decisio i tellige ce, a d you’ e comfo table wo ki g with a self-fu ded, p ivately held ve do ope ati g at a smalle scale. SAP custome s should also co side Nakisa fo lease admi ist atio eeds.”
Nakisa was p eviously amed a Majo Playe i the IDC Ma ketScape: Wo ldwide SaaS a d Cloud-E abled Lease Accou ti g a d Admi ist atio Applicatio s 2023 Ve do Assessme t. Si ce the , Nakisa has expa ded its platfo m beyo d complia ce a d eco dkeepi g with age tic AI, MCP-co ected age ts, i teg ated po tfolio capabilities, a d Nakisa Decisio I tellige ce.
Dow load a complime ta y exce pt of the IDC Ma ketScape: Wo ldwide AI-E abled Lease Admi ist atio Applicatio s 2026 Ve do Assessme t.
IDC Ma ketScape, Wo ldwide AI-E abled Lease Admi ist atio Applicatio s 2026 Ve do Assessme t, Doc #US54113226, Septembe 2026.
IDC Ma ketScape, Wo ldwide SaaS a d Cloud-E abled Lease Accou ti g a d Admi ist atio Applicatio s 2023 Ve do Assessme t, Doc #US48562222, August 2023.
Nakisa is a e te p ise softwa e compa y that helps la ge o ga izatio s ma age complex p ope ty, equipme t, la d, a d fleet lease po tfolios, eal estate ope atio s, fi a cial commitme ts, a d wo kfo ce decisio s. With mo e tha 20 yea s of expe ie ce suppo ti g complex, multi-e tity o ga izatio s, Nakisa is t usted by mo e tha 200 e te p ise custome s, i cludi g Da o e, Exxo Mobil, Nestlé, Pfize , Puma, Volvo, a d ma y mo e. Nakisa’s platfo m is desig ed fo o ga izatio s that equi e global scale, st o g gove a ce, a d i teg atio with co e e te p ise systems. Lea mo e at akisa.com.
IDC Ma ketScape ve do a alysis model is desig ed to p ovide a ove view of the competitive fit ess of tech ology a d se vice supplie s i a give ma ket. The esea ch methodology utilizes a igo ous sco i g methodology based o both qualitative a d qua titative c ite ia that esults i a si gle g aphical illust atio of each ve do ’s positio withi a give ma ket. The Capabilities sco e measu es ve do p oduct, go-to-ma ket, a d busi ess executio i the sho t te m. The St ategy sco e measu es alig me t of ve do st ategies with custome equi eme ts i a th ee-to-five-yea timef ame. Ve do ma ket sha e is ep ese ted by the size of the ci cles. Ve do yea -ove -yea g owth ate elative to the give ma ket is i dicated by a plus, eut al, o mi us ext to the ve do ame.
Lucas Potasso-Justi o lucas.potasso-justi o [at] akisa.com https:// akisa.com/
