1:07 Meet Jarvis: Simplifying AI Adoption
A concise platform overview of Jarvis — ASCENDING's governed AI workspace that balances cost, control, and flexibility to accelerate enterprise AI adoption.
Disclosure: Jarvis AI is a product of ASCENDING Inc., which publishes Explore Agentic. We flag every page that discusses Jarvis and mark comparison tables that include it. Our editorial policy is on the About page.
22 demos and overviews from the ASCENDING team. Each video is also embedded in the most relevant article on this site — click "Watch in context" to read the full piece.
1:07 A concise platform overview of Jarvis — ASCENDING's governed AI workspace that balances cost, control, and flexibility to accelerate enterprise AI adoption.
1:48 Walkthrough of Jarvis Registry's four core capabilities: universal copilot compatibility, group- and role-based access policies, context-aware tool discovery, and end-to-end governance of MCP servers and AI agents.
2:37 Introduces Jarvis Registry as a centralized gateway that registers, governs, and audits MCP servers and AI agents — connecting enterprise context to copilots like Claude, ChatGPT, and GitHub Copilot with policy-based routing.
2:07 Hands-on demo showing how Guardrails detects and redacts PII in real-time LLM workflows across Anthropic, Bedrock, and OpenAI — with customizable domain and topic rules.
42 Short overview of Jarvis Guardrails — a protection layer designed to keep sensitive data inside the enterprise perimeter when working with LLMs.
1:54 Semantic search demo — Jarvis goes beyond keywords to deliver contextual answers across scattered files, folders, and formats that traditional search can't handle.
4:19 Shows how Jarvis connects directly to Amazon S3 to turn contracts, proposals, HR forms, and SOPs into a secure, searchable knowledge base — fast, smart retrieval without data leaving AWS.
33 A 33-second overview of Jarvis Knowledge Base, showing how governed AI plugs directly into your enterprise document store.
3:20 An RAG primer for business readers: builds a vector store, indexes company documents, and queries real financials (Wells Fargo, Goldman Sachs) — showing how retrieval grounds LLM answers in your own data.
2:45 Jarvis's Snowflake MCP integration in action — ask questions in plain English, run analysis, and generate interactive dashboards without writing SQL or waiting on an analyst.
3:04 Jarvis now connects to any MCP server — internal systems (Slack, Salesforce, QuickBooks) or external SaaS (Mailchimp, Twilio) — bringing your own context to deliver more relevant AI answers.
2:38 Jarvis Deep Research Agent builds on Deep Intel: it assembles business overviews, challenges, GenAI use cases, matched AWS case studies, and auto-generates tailored outreach — with stakeholder identification baked in.
2:13 Jarvis OCR Agent extracts text from mixed-content PDFs — including handwritten notes — with human-in-the-loop correction and downstream hand-off to other systems.
1:19 Jarvis Deep Intel helps AWS sellers pinpoint high-value migration leads: enter a domain, get an infrastructure map, migration opportunity score, recommended actions, and a Bedrock-drafted outreach email.
2:34 A Slack-native Jarvis assistant that surfaces follow-up tasks from chat history, rolls daily reports into monthly or yearly charts, and makes it easy to resurface key ideas from past discussions.
4:50 Jarvis supercharges Zendesk support — analyze ticket trends, draft consistent replies from past solutions, handle multilingual inquiries, and stitch workflows into Slack, Notion, and Confluence.
3:09 Jarvis's GitHub integration turns raw repo data into shareable visual reports — tracking pull requests, feature delivery, commit activity, and team performance without spreadsheets.
2:55 Demonstrates deploying Jarvis on AWS AgentCore — connecting to DynamoDB and delivering natural-language data insights securely and at scale, with AgentCore handling deployment heavy lifting.
4:55 Jarvis's Jira and Confluence integration: check sprint status, reassign tickets, and generate visual progress reports via natural language — no more manual ticket tracking or report compilation.
3:31 End-to-end Google Workspace flow — Gmail, Calendar, Drive, and Tasks working together so you can triage tasks, summarize mail, locate documents, schedule meetings, and send replies without context-switching.
1:52 Turn any business prompt into a polished, interactive infographic in seconds — share via direct link, applicable to marketing, finance, legal, and management use cases.
2:30 Natural-language database analytics — connect to MySQL, Postgres, SQL Server, Snowflake, Databricks, or Redshift, ask in plain English, and get instant charts plus copyable SQL.