Conversive

AI-powered messaging platform that personalizes conversations for better engagement, higher-quality leads & stronger customer relationships. #ConversationalAI

[Conversive @BeConversive]

AI-powered CRM turns insights into impact, personalize campaigns before your audience asks for it.

#AI #CRM #Personalization #CustomerExperience #MarketingTech #Automation #Growth
https://t.co/QjWpWNMCkq

[Conversive @BeConversive]

In 2025, AI is humanizing CX with emotion-aware, hyper-personalized support. Discover the top trends shaping customer success today.

https://t.co/wyhjbVGuAv

#AI #CustomerSuccess #CX #CustomerExperience #AITrends #AIinBusiness #Personalization #CustomerEngagement

[Conversive @BeConversive]

AI is transforming customer experience, here’s how to harness it responsibly for real, human-centered impact.

https://t.co/KozRb8kNaa

#AI #CustomerExperience #CX #ResponsibleAI #HumanCenteredDesign #TechForGood

[Conversive @BeConversive]

Consumer trust in AI is broken, here’s how we can rebuild it through design, transparency, and ethics.

https://t.co/lvehS8Lp37

#TrustInAI #ResponsibleAI #AIethics #TechForGood #DataPrivacy

[Conversive @BeConversive]

AI chatbots are no longer a "nice-to-have", they’re mission-critical. From scaling support to boosting conversions, the right bot makes all the difference.

Learn how to choose one that fits your business goals
https://t.co/ZVw5jC0G5o

#AI #Chatbots #CX #Automation

[Conversive @BeConversive]

70% of CX leaders say AI is key to personalization
50% ticket reduction through self-service
28% faster QA feedback with GenAI

CX is getting smarter, and Conversive is leading the way.

https://t.co/v1EyseucXa

#AI #CXAutomation #FutureOfWork #CustomerSuccess

[Conversive @BeConversive]

Customer Experience is no longer reactive, it's intelligent, predictive, and always-on.
AI is transforming CX from support desks to strategic growth engines.

Here’s how https://t.co/v1EysetF7C

#AI #CX #CustomerExperience #Automation #Conversive

[Harold Sinnott 📱 @HaroldSinnott]

𝗥𝗔𝗚 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗷𝘂𝘀𝘁 “𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗲 𝗮𝗻𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲" 𝗼𝗿 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲. 𝗜𝘁’𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗵𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻��� 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜. ⬇️

By early 2025, over 51% of enterprise GenAI deployments use RAG architectures — up from 31% just a year earlier. And for good reason: it’s powering everything from customer support and legal automation to search and content generation. BUT real-world complexity demands modular, dynamic, and intelligent system architectures — not simplistic pipelines. What started as a simple retrieval pipeline (Naive RAG) is now evolving into the architectural backbone of large-scale, production-grade reasoning systems. Below is one of the clearest overviews of the evolving RAG design space — from Naive setups to Agentic multi-system architectures.

𝗟𝗲𝘁'𝘀 𝗯𝗿𝗲𝗮𝗸 𝗶𝘁 𝗱𝗼𝘄𝗻: ⬇️

𝗡𝗮𝗶𝘃𝗲 𝗥𝗔𝗚
➜ Retrieve documents, pass them to the LLM, generate an output.
- Fast to build
- Fragile when faced with ambiguity, long context, or conflicting information

𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗲-𝗮𝗻𝗱-𝗥𝗲𝗿𝗮𝗻𝗸 𝗥𝗔𝗚
➜ Adds reranking to prioritize the most relevant information before generation.
- Improves accuracy and grounding
- Reduces risk of hallucinations

𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗥𝗔𝗚
➜ Extends retrieval and reasoning to include text, images, video, and audio.
- Critical for industries handling unstructured, diverse data types
- Unlocks new applications in healthcare, legal, automotive, and manufacturing

𝗚𝗿𝗮𝗽𝗵 𝗥𝗔𝗚
➜ Incorporates graph databases for structured reasoning across entities and relationships.
- Enables explainable AI
- Essential for compliance, auditing, supply chain, and knowledge management

𝗛𝘆𝗯𝗿𝗶𝗱 𝗥𝗔𝗚
➜ Blends vector search, keyword search, and graph retrieval strategies.
- Maximizes robustness and adaptability across use cases
- Balances precision and recall for production environments

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 (𝗥𝗼𝘂𝘁𝗲𝗿)
➜ Uses agent-based orchestration to dynamically route queries to specialized tools, indexes, or retrieval strategies.
- Intelligent query handling
- Core enabler for autonomous workflows

𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗥𝗔𝗚
➜ Multiple agents collaborate, reason, retrieve, and act across distributed systems.
- Supports complex planning, tool use, and decision-making
- The foundation for enterprise-grade AI orchestration and multi-modal workflows

𝗥𝗔𝗚 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗮 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 — 𝗶𝘁’𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳����𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗚𝗲𝗻𝗔𝗜. 𝗘𝗮𝗰𝗵 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝘆𝗹𝗲 𝘀𝗲𝗿𝘃𝗲𝘀 𝗮 𝗱𝗶𝘀𝘁𝗶𝗻𝗰𝘁 𝗽𝘂𝗿𝗽𝗼𝘀𝗲 — 𝗳𝗿𝗼𝗺 𝘀𝗶𝗺𝗽𝗹𝗲 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘁𝗼 𝗰𝗼𝗺𝗽𝗹𝗲𝘅, 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀.

Kudos to Weaviate for this brilliant cheatsheet!

via Andreas Horn on LinkedIn
@SpirosMargaris @DeepLearn007 @Hal_Good
@gvalan @Analytics_699

[Conversive @BeConversive]

Top 6 use cases for AI voice agents in business : From Lead Qualification to Customer Support

#VoiceAI #ConversationalAI #CustomerExperience #SalesAutomation #SupportAutomation #AIInBusiness #VoiceTechnology #NoCode #FutureOfWork #AutomationAtScale

https://t.co/AddGSjkB5c

[Conversive @BeConversive]

A deep-dive conversation around consent, compliance & conversational AI in marketing. @nitintweets @smsmagic

#AI #DataPrivacy #CMO #MarketingStrategy

[ContraMinds Labs @contraminds]

🎙️ New Episode Alert 🎙️
Consent, Compliance, Conversational AI: Marketing's New Reality

In conversation with @swamicrm, Nitin Seth (Conversive / @smsmagic ) explains how GDPR and TCPA are forcing marketers to rebuild their entire customer engagement strategy around AI-powered consent management and conversational interfaces that replace traditional advertising. He argues that mass-market branding is dead, replaced by direct customer experiences requiring mastery of database marketing and AI-driven personalization in our privacy-first future.
Watch now at https://t.co/KmlGcq5PGj

[Conversive @BeConversive]

Drawn from McKinsey’s ‘Agentic AI’ Report: What Comes After the Gen AI Hype

https://t.co/VrG8OMl046

#AIAgents #AgenticAIMesh #GenAI

[Conversive @BeConversive]

What if your brand could talk to every customer like a friend, on any channel, anytime?

AI-powered #omnichannel #CX is making that possible in 2025. Here's how top brands are using it to personalize & predict https://t.co/9oSlPL3N4f

#AI #Personalization #CustomerExperience

[Conversive @BeConversive]

In Conversation with Gautam Hazari, CTO, https://t.co/JAFhNgsWII @sekuraid

https://t.co/WjBWZvxU5U

#DigitalIdentity #AIethics #MobileIdentity #PasswordlessFuture #HumanCenteredTech #AgenticAI

[Conversive @BeConversive]

How Voice AI works under the hood, the key technologies powering it, why it matters today, and what to expect in the coming year.

https://t.co/wNYdGLiJ7A

#VoiceAI #AIAgents #ConversationalAI #AIinBusiness
#VoiceTech

[Conversive @BeConversive]

We sat down with James Williams aka @MrConnectivity to explore 30+ yrs in telecoms, the power of A2P SMS, & why real connection beats cold outreach every time.

https://t.co/HNPeyVqMLr

#A2PSMS #MessagingMatters #Telecom #Connectivity #BusinessMessaging #TechLeadership

[Conversive @BeConversive]

Inspired by IBM’s ‘Orchestrating Agentic AI’ Study: The Next Leap in Business Operations by

#AI #ArtificialIntelligence #AgentsOrchestration #AiAgents

https://t.co/jTnfc53XB3

[Conversive @BeConversive]

Transform Your Product Development: Harness AI to Build Smarter, Faster, Better

#ProductDevelopment #AiRevolution #softwareDevelopment #AiInProductDevelopment #Genai

https://t.co/5BZjY6FvuU

[Conversive @BeConversive]

From Personalization to Prediction: How AI is Redefining Customer Engagement and Experience

https://t.co/g6Xs37tSyo

#CustomerExperience #PredictiveEngagement #Conversive #CXStrategy #DigitalInnovation #EthicalAI #MarketingLeadership

[Conversive @BeConversive]

We had the pleasure of sitting down with Uros Mijatovic, COO at Mitto, for an honest, forward-thinking #conversation about 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 #𝗺𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴, 𝘁𝗵𝗲 𝗽𝗼��𝗲𝗿 𝗼𝗳 #𝗔𝗜, and why #𝗦������ still holds strong in a flashy-channel world

https://t.co/zEPL7nyJTv

[MEF (Mobile Ecosystem Forum) @MEF]

𝗠𝗘𝗙 𝗖𝗢𝗡𝗡𝗘𝗖𝗧𝗦 𝗟𝗼𝗻𝗱𝗼𝗻 𝟮𝟬𝟮𝟱 – 𝗶𝗻 𝗽𝗶𝗰𝘁𝘂𝗿𝗲𝘀

MEF was in London last week for a double bill of events!