[{"data":1,"prerenderedAt":229},["ShallowReactive",2],{"advisory":3,"profile":219},{"id":4,"title":5,"body":6,"description":198,"extension":211,"meta":212,"navigation":213,"path":214,"seo":215,"stem":216,"subtitle":217,"__hash__":218},"pages\u002Fadvisory.md","Advisory",{"type":7,"value":8,"toc":197},"minimark",[9,14,18,23,52,56,59,73,77,103,107,145,149,160,164,175,179,194],[10,11,13],"h2",{"id":12},"where-im-useful","Where I'm useful",[15,16,17],"p",{},"I take on a small number of serious engagements at a time. The pattern that\nworks: I'm the architect-on-call for a leadership team building AI capability\nthat has to actually ship, not just demo.",[19,20,22],"h3",{"id":21},"for-enterprises","For enterprises",[24,25,26,34,40,46],"ul",{},[27,28,29,33],"li",{},[30,31,32],"strong",{},"Architecture review"," of an in-flight AI program: what's structurally\nsound, what's going to break in the second year, what to stop building now.",[27,35,36,39],{},[30,37,38],{},"Fractional CTO \u002F Chief AI Architect"," for a 6 to 12 month transformation,\nembedded with the executive team.",[27,41,42,45],{},[30,43,44],{},"Workshops"," for leadership teams: how to think about model choice, build vs.\nbuy, governance, hiring, and the unglamorous adoption layer.",[27,47,48,51],{},[30,49,50],{},"Due diligence"," for acquirers and investors on AI-claiming targets.",[19,53,55],{"id":54},"for-founders-early-stage","For founders (early-stage)",[15,57,58],{},"I keep a small mentorship cohort (typically 3 to 5 founders at a time).\nThis is unpaid for founders pre-Series A and is intentionally selective.",[24,60,61,64,67,70],{},[27,62,63],{},"AI product architecture and model strategy",[27,65,66],{},"Technical hiring for the first 5 to 25 engineers",[27,68,69],{},"Avoiding the standard scaling mistakes I've made at every prior stage",[27,71,72],{},"Investor-facing technical narrative",[10,74,76],{"id":75},"how-i-work","How I work",[24,78,79,85,91,97],{},[27,80,81,84],{},[30,82,83],{},"Written before spoken."," I'd rather read a one-pager than sit through a\nforty-minute deck. Whatever we discuss, expect me to write back.",[27,86,87,90],{},[30,88,89],{},"Deep over wide."," I do my best work when I'm engaged seriously with a few\nteams, not casually with many. I won't take on an engagement I can't be\nuseful inside.",[27,92,93,96],{},[30,94,95],{},"Decisions, not status."," Engagements produce decisions and architecture\nartifacts, not slide decks of observations.",[27,98,99,102],{},[30,100,101],{},"I write under my own name."," Anything I produce for you stays with you.\nAnything I publish publicly, whether essays, frameworks or talks, is mine\nand on this site.",[10,104,106],{"id":105},"what-proves-i-can-do-this","What proves I can do this",[24,108,109,115,121,127,133],{},[27,110,111,114],{},[30,112,113],{},"Chief Technology and AI Officer, Zettamine",": leading its transformation into an AI product and services company\n(DigiHire.ai, GuildTrek, cognitive ERP, industrial AI).",[27,116,117,120],{},[30,118,119],{},"DXC Distinguished Engineer (2018)",": the company's highest technical\ndistinction, for sustained technical leadership.",[27,122,123,126],{},[30,124,125],{},"Managing Partner & Head of Engineering, Brane Enterprises"," (2019 to 2025):\nbuilt and led an engineering org of 280+, including 42 in AI and NextGen.",[27,128,129,132],{},[30,130,131],{},"Account CTO"," for AT&T and Zurich Insurance during my DXC years.",[27,134,135,138,139,144],{},[30,136,137],{},"Shipped AI products",": real-time audio-video human-interaction agents,\nDigiHire.ai recruitment platform, enterprise digital twin, no-code AI platform,\ncustom LLM fine-tuning with RAG. See ",[140,141,143],"a",{"href":142},"\u002Fwork","Work",".",[10,146,148],{"id":147},"who-i-work-with-best","Who I work with best",[24,150,151,154,157],{},[27,152,153],{},"Leadership teams that have already decided to build AI seriously and want\nsomeone who's been through the second-year problems.",[27,155,156],{},"Founders building AI-native products who want an architect, not a coach.",[27,158,159],{},"Boards and investors who need a second opinion on AI-heavy investments.",[10,161,163],{"id":162},"who-im-probably-not-the-right-fit-for","Who I'm probably not the right fit for",[24,165,166,169,172],{},[27,167,168],{},"\"AI strategy\" engagements that don't intend to ship anything.",[27,170,171],{},"Hourly consulting at scale.",[27,173,174],{},"Engagements where I can't be in the room with the people doing the work.",[10,176,178],{"id":177},"how-to-engage","How to engage",[15,180,181,182,188,189,193],{},"Email me directly: ",[30,183,184],{},[140,185,187],{"href":186},"mailto:sankar.vema@gmail.com","sankar.vema@gmail.com",", or use the ",[140,190,192],{"href":191},"\u002Fcontact","contact form","\nand pick the intent that matches.",[15,195,196],{},"I'll respond within a few days. If we're a fit, the first conversation is a\nfree 30-minute call to see if there's a real engagement here. I won't sell;\nI'll diagnose.",{"title":198,"searchDepth":199,"depth":199,"links":200},"",3,[201,206,207,208,209,210],{"id":12,"depth":202,"text":13,"children":203},2,[204,205],{"id":21,"depth":199,"text":22},{"id":54,"depth":199,"text":55},{"id":75,"depth":202,"text":76},{"id":105,"depth":202,"text":106},{"id":147,"depth":202,"text":148},{"id":162,"depth":202,"text":163},{"id":177,"depth":202,"text":178},"md",{},true,"\u002Fadvisory",{"title":5,"description":198},"advisory","Where I'm useful, how I work, who I work with","O0yFaLihQ4gsxZ-9gEGBngWTw71YonwTegaVlHKn_yQ",{"name":220,"role":221,"tagline":222,"location":223,"contact":224},"Sankar Vema","AI Builder & Architect of Agentic Systems","I help enterprise leaders turn AI ambition into capability that actually ships.","India · open to global advisory engagements",{"email":187,"linkedin":225,"github":226,"blog":227,"twitter":228},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fsankarvema\u002F","http:\u002F\u002Fsankarvema.github.io\u002F","http:\u002F\u002Fsankarvema.blogspot.com\u002F","https:\u002F\u002Ftwitter.com\u002Fsansvema",1790601541566]