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Your company's single biggest source of knowledge is untapped. Every day, your teams make critical decisions, solve problems, and gather competitive insights. But this intelligence lives in unstructured, disconnected silos: Zoom meetings, Slack threads, Teams chats, and endless emails. The moment a meeting ends or a chat channel scrolls, that knowledge is lost. It’s unsearchable, un-auditable, and invisible to the rest of the organization. New hires can't learn from past decisions, and executives are flying blind. Manually creating a "knowledge base" from this chaos is a project dead on arrival. No one has time for it. This is why we built the Krista Conversation Agent. Instead of just recording, Krista ingests and understands all these unstructured conversations. She automatically connects to your meetings, chats, and emails to build a single, persistent, and searchable enterprise knowledge base. But she doesn't just stop at capturing. She acts: 1. Krista joins your meetings and reads your chats. 2. She automatically understands and extracts key topics, decisions, objections, and action items. 3. This builds a living, searchable memory of every conversation, accessible to your entire organization, not just you. 4. Most importantly, Krista acts on this knowledge, triggering workflows, updating your CRM, and automating follow-ups based on what was said. Stop letting your best ideas just sit in inboxes. Turn your unstructured conversations into automated actions and enterprise-wide intelligence. Learn more about the Krista Conversation Agent > https://hubs.li/Q03QQ4040 #AI #KnowledgeManagement #AgenticAI

You keep hearing "we never train on your data." What if that's a big reason your AI projects are failing? A recent MIT report noted that 95% of AI projects deliver no ROI. The reason is a "learning gap." You’re deploying generic AI and wondering why it can't accelerate your specific business. Generative AI by itself is a trap. You get a powerful tool trained on other people’s data. It can write a poem, but it can't tell the difference between your "Tier 1" and "Tier 2" vendors, understand your internal-only acronyms, or know what to do with a "P0 escalation" email. This generic AI is a "lightweight assistant" that asks the same questions over and over. It can't act because it has no context. True agentic automation is different. It requires a "brain"—machine learning models trained on your business data. Here’s how it should work: Learns Your Rules: Krista’s ML is trained on your business's email intents, document types, and exception patterns. It acts as the intelligent "categorizer." Makes Decisions: When a request arrives, the trained AI knows what to do. It doesn't guess. It routes the task to the correct process. Orchestrates Work: It then dispatches agents to execute the entire end-to-end workflow, connecting all your systems. Takes Action: Krista does all the work from a single initial trigger, with no human hand-offs. Stop trying to get generic AI to do a specific, contextual job. You DO want AI training on your data, as long as it's private, secure, and purpose-built to automate your processes. This is the difference between an AI that chats and an agentic platform that acts. Listen in as John Michelsen explains how to achieve a “cognitive enterprise.” https://hubs.li/Q03QvFFl0 #AgenticAI #AI #ML #MachineLearning

Everyone is racing to deploy AI agents. But there's a huge trap we're not recognizing. What happens when you have 30 different agents, each on its own platform, with its own siloed data? You don't get a smarter business. You get 30 fragmented "brains" that can't work together on any significant, cross-cutting activity. You have to purposefully construct the memory of an organization. You can't just bolt on an "organizational brain" later. It has to be an intentional strategy today. This unified memory is the entire foundation for an effective agentic future, allowing AI to leverage collective knowledge instead of just isolated data points. Don't let your agentic future become a siloed nightmare. Check out all of our starter use cases here to understand how to "platform" your agents. https://hubs.li/Q03PGMwR0

Want AI to read contracts and update your systems? For most companies, the "AI" that handles this is a person. The process is painfully manual: 1. An email lands in a shared inbox. 2. An employee reads it and forwards it to the right person. 3. That person stops their real work, opens the PDF, and scans it for data. 4. They log into NetSuite or Salesforce and manually type everything in. 5. Finally, they reply to the original email to close the loop. This is slow, expensive, and a perfect recipe for data-entry errors. Krista handles the entire workflow, not just one task. Here’s how it works: 1. Listens & Classifies: Krista monitors your inboxes. When a message arrives, her machine learning determines its purpose (invoice, contract, rate change) and sends it to the right process. 2. Extracts & Validates: She instantly extracts data from the message and attachments. Then, she uses two independent LLMs to validate every field, eliminating AI hallucinations. 3. Manages Exceptions: If the models disagree or spot an anomaly, Krista automatically alerts a human for a quick review. No bad data gets through. 4. Updates Systems: Once validated, Krista securely connects to your systems (like NetSuite or Salesforce) and posts the data automatically. 5. Creates an Audit Trail: Every action—from the email arriving to the final record update—is logged for 100% compliance. This is the difference between a simple AI tool and a true automation platform. You don't need separate agents for every step; you need one platform to orchestrate all of them. Check out Krista's Invoice Agent > https://lnkd.in/eKiR8unv

Don't just add AI to Salesforce. Add it to the workflow. The problem? A single system rarely answers complex customer inquiries. When a customer asks about a service issue, your agent has to hunt for answers across a CRM like Salesforce, billing systems like NetSuite, and ticketing systems like Zendesk. This "swivel chair" integration is slow and costly, leading to frustrated customers. Having an "agent" for each app is only going to make this more difficult, adding to tech debt and cost. Instead of just an AI search tool, Krista orchestrates the entire process. She connects all your systems and uses AI to make decisions based on YOUR rules. Here's how it works: 1. A customer starts a conversation in a chatbot with a service question. 2. Krista instantly understands the intent, securely looks up the customer in Salesforce, and analyzes their usage data from a billing system to detect anomalies. 3. She confirms the issue with the customer and creates a ticket in Zendesk. 4. Krista confirms the time with the customer, and then updates all systems with the new information. The entire process is logged for compliance, with zero manual data entry. The goal isn't just faster information retrieval. It's a fully automated, zero-touch customer journey. Check out Krista’s customer agent > https://hubs.li/Q03PTGtr0

The average cost per contact for email or agent is $8.01. Self-service is less than $1. That’s why businesses like yours are turning to Krista to automate email responses and provide a self-service model to customers. Read our case study to learn more.