@ighose This is exactly right — “partners are how AI moves from POC to production.” Built a Salesforce Summit Partner ecosystem over 15 years, now doing the same with Claude across 7 enterprise agent deployments in India and the US. Just applied. Excited to build this together.
Built a 500-person Salesforce ecosystem over 15 years. Exited in 2024.
Now spending $1,000+/month on Claude API building enterprise AI agents — retail, data lineage, recruitment, document intelligence.
7 active agents. 3 continents. Same playbook, new frontier along with @arghya7574@AnthropicAI@ighose — let's build this ecosystem together.
#Claude #EnterpriseAI #AgenticAI
Why do 80% of enterprise AI projects fail?
Not because of tech. Because they start with "we need AI" instead of "we have this problem."
Flip the script:
→ Find the pain point
→ Quantify the cost
→ THEN ask if AI solves it
Problem-first, not AI-first. 🎯
Hot take: Most "AI strategies" are just PowerPoint decks.
Real AI transformation = shipping to production.
At @ApexNeural, we've moved 3 clients from POC to production in 60 days.
The secret? Start small. Ship fast. Iterate. 🚀
There’s going to be split between two types of teams or companies for the foreseeable future.
Those that re-engineer their processes to take full advantage of AI agents with their given limitations, and those that wait until they’re good enough to not re-engineer anything.
To take full advantage of AI agents today, your workflows must be designed around the idea that AI agents need a lot context to be effective. By default you have a super-intelligent worker but they have no idea who they work for, what their job is, what the best practices are, what the guidelines are, how to work with the right data, and so on.
Most AI agent failures are just wishing this wasn’t true, and imagining AI will just figure all of these things out on its own. This won’t happen anytime soon for a variety of reasons.
The companies and teams that retool their workflows to get agents the right context will be ones that actually can get the most gains from agents right now.
But this will look very different from how most teams work right now. It will mean having well documented processes, data that is set up to actually get to an agent easily, hyper precise goals and prompts, and ultimately mindset that the new human in the loop element is not being involved in every single step of an agent, but editing and reviewing its final output.
The companies and teams that started thinking this way will be able to take advantage of agents right away, and they’ll blow past the ones that don’t.
@SMHonk1983@nitish231@Dreamforce@IndianEmbassyUS While these precautions are useful, it’s unfortunate that such a popular destination has come to this. Rather than skipping the city altogether, perhaps better security and awareness can help protect future visitors.
Enhance your approach in the manufacturing sector today! From Forecasting to Sales Agreements, explore effective collaboration using @salesforce Manufacturing Cloud. Whether you're a seasoned pro or starting, gain valuable insights to elevate your B2B sales game. Team @absyz has showcased winning strategies to boost sales and cultivate enduring customer connections in this video. https://t.co/Bp1TIxGEdn #manufacturingindustry #Sales #industrialsales #CustomerRelationshipManagement #Salesforce #ManufacturingCloud #CloudHosting #manufacturing #CRM #Automation @youngsoft@partnerforce
Looking for AI project ideas for a large company or industry sector? I share in The Batch a brainstorming recipe: (i) break jobs down into tasks, (ii) evaluate common tasks for AI assistance or automation, (iii) assess value. Check out details & examples here: https://t.co/FUazbfGLWy
This is based on a technique that economists use to analyze AI, that's also used by Workhelix (an AI Fund portfolio company co-founded by @erikbryn@amcafee James Milin @danielrock) to help enterprises assess their generative AI opportunities.
#oldhabits searching for the bird on my phone.
Well #Jawaan easy correlation with Money heist plot.
A gripping multi tale spread with talented actors, worthy entertainer!!
Tana Na Naaaa ……Taaaa Naa Naaaaa!!
AI isn't a tech trend.
In fact, #EinsteinAI has been pioneering trusted enterprise AI built for CRM for nearly a decade. 🤯
Discover how it's built into every product and delivers over a trillion predictions a week at #SalesforceAI Day: https://t.co/orrC1LkDTi
#People- Bring smart people together n equip with clean n clear
#Process- break it down to executable n measurable steps, keep a track using..
#Technology - leverage the one your business can afford to help your…#People
Is the mantra said AJ #salesforce#Solutions#businessdoc
1) Some initial @punk6529 Meme Lab starting stats
Excluding the 2 x 6529 cards for artists and SZN1 full set set holders
• 1131 wallets hold at least 1 of either card 3 or 4
• 190 hold both