{"slug":"platform/_core-features","title":"FEATURE LAYER TYPE","section":"platform","sectionLabel":"Platform","status":"unclassified","type":"document","path":"platform/_core-features.mdx","bytes":13785,"description":null,"updated":null,"source":"integratewise/Integratewise-docs-wiki","content":"IntegrateWise — Core Features\n\nBased on everything defined across the architecture, product, and platform evolution, here are the core features organized by layer.\n\n---\n\n1. One-Click Connection\n\nThe Last Auth for Endless Continuity\n\n→ Single EcosystemConnection (L0)\n→ One trust boundary for the entire workspace\n→ OAuth, API Key, MCP, LLM Call, Direct Connector\n→ Connector Marketplace with pre-built adapters\n→ Capability Discovery runs automatically\n→ Admin reviews and approves capabilities\n→ Connected in minutes. Not weeks.\n\nWhat the user experiences: They authorize once. Their tools connect. Data starts flowing. No engineering tickets. No integration projects. No 6-month implementations.\n\n---\n\n2. Integration Manager\n\nStateless Plumbing Between Tools and Truth\n\n→ Adapter Registry (Nango, Native, MCP, Direct, LLM Call)\n→ OAuth management and token refresh\n→ Webhook processing and real-time sync\n→ Health monitoring for every connection\n→ Consent and scope management\n→ Connection lifecycle (connect, sync, pause, disconnect)\n→ Provider registry for marketplace connectors\n→ Catch-up sync for missed events\n\nWhat the user experiences: Their tools stay connected. Data stays fresh. They never think about API tokens or webhook configurations.\n\n---\n\n3. Single Source of Truth (The Spine)\n\nThe Only Place Where Cross-System Data Lives\n\n→ Entity Resolution (\"Acme Corp\" across 4 systems = one entity)\n→ Relationship Resolution (entity → has → contacts, deals, cases)\n→ Canonical schemas (every tool's data normalized to one language)\n→ Timeline (every event from every system, chronological)\n→ Entity360 (unified view of any business entity)\n→ Three data layers:\nSimple data (structured fields)\nRich data (files, images, documents)\nKnowledge (human + AI)\n\nWhat the user experiences: They click on “Acme Corp” and see everything — Salesforce data, Slack history, Jira tickets, HubSpot deals, calendar events — in one unified view. No tabs. No switching. No gaps.\n\n---\n\n4. Human Workbench\n\nWhere Users Do Their Actual Work\n\n→ Role-based workbench projections:\nSales: Pipeline, deals, meetings, tasks, forecasts\nCustomer Success: Health scores, cases, renewals, escalations\nEngineering: Sprint board, tasks, PRs, blockers, standups\nExecutive: KPIs, portfolio, risks, forecasts\nOperations: Processes, approvals, resource allocation\nFinance: Revenue, invoices, budgets, recognition\nMarketing: Campaigns, leads, funnels, content\nHR: Onboarding, teams, reviews, org structure\n\n→ All projections read from the same Spine\n→ Same truth. Different views.\n→ No tab switching. No context loss.\n→ Feels like the tools they already know.\n\nWhat the user experiences: They open their workbench and everything they need is already there. Their pipeline, their tasks, their meetings, their alerts. It looks familiar but everything is in one place.\n\n---\n\n5. Feature Composition (Shared / Common / Private)\n\nThree Tiers of Feature Ownership\n\nSHARED (Every app uses these):\n→ Identity and authentication\n→ Organizations\n→ Notifications\n→ Entity360\n→ Timeline\n→ Search\n→ Comments\n→ Attachments\n→ Activity Feed\n→ Approvals\n→ Audit\n→ Knowledge\n\nCOMMON (Domain families):\n→ Customer Success (Health, Renewals, Accounts, Playbooks)\n→ Sales (Pipeline, Leads, Forecast, Meetings)\n→ Engineering (Sprints, PRs, Standups, Deployments)\n→ Finance (Revenue, Invoices, Budgets)\n→ Executive (Portfolio, KPIs, Risks, Reports)\n→ Marketing (Campaigns, Leads, Funnels, Content)\n\nPRIVATE (Each app owns these):\n→ Marketing: Landing Builder, CMS, Pricing\n→ Workspace: Command Palette, Layouts, Views, Shortcuts\n→ Executive: Board Packs, Investor Reports\n→ White-label: Branding, Theme, Custom workflows\n\nEvery feature has an owner.\nNo feature is orphaned.\nThe composition layer assembles only what's needed.\n\nWhat the user experiences: They get exactly the features their role needs. A sales rep sees pipeline and deals. An engineer sees sprints and PRs. Same platform. Different configurations.\n\n---\n\n6. Connector Marketplace\n\nInstant Scale for the Ecosystem\n\n→ Browse and search pre-built connectors\n→ One-click install with OAuth consent\n→ Capability Discovery runs automatically\n→ Schema mapping reviewed by admin\n→ Sync preferences configured (real-time, scheduled, manual)\n→ Initial hydration begins immediately\n→ Health monitoring active from day one\n→ Custom connector requests supported\n\nWhat the user experiences: They browse a marketplace of integrations. They click “Install.” They authorize. Data starts flowing. Like installing an app on a phone.\n\n---\n\n7. Digital Twin (AI Intelligence)\n\nThe AI That Watches, Learns, and Proposes\n\nOODA COGNITIVE LOOP:\nObserve → Watches every L1 event\nOrient → Reads from Home (memory + context + models)\nDecide → Generates proposals with confidence scores\nGovern → Checks policy and approval requirements\nAct → Writes proposals to Spine\nLearn → Updates Home from every outcome\n\nWHAT THE TWIN DOES:\n→ Proposes actions before the user asks\n→ Surfaces risks and opportunities\n→ Drafts emails, creates tasks, schedules meetings\n→ Pre-generates standup summaries and meeting prep\n→ Cross-references data across all connected systems\n→ Learns user preferences and organizational patterns\n→ Adapts its behavior over time\n→ Maintains its own home of knowledge\n\nWHAT THE TWIN DOES NOT DO:\n→ Does not touch tools directly (Integration Manager does)\n→ Does not make final decisions (human approves)\n→ Does not run the product (L1 pipelines do)\n→ Does not override governance (policies always apply)\n\nWhat the user experiences: Their AI seems to know them. It surfaces the right proposals at the right time. It preps their meetings. It alerts them before problems escalate. It learns their style. It gets better every day.\n\n---\n\n8. Organizational Memory\n\nKnowledge That Compounds\n\nHUMAN MEMORY:\n→ Notes, decisions, playbooks, runbooks\n→ Meeting notes, strategic documents\n→ Tribal knowledge\n→ User-created content lives permanently\n\nAI MEMORY:\n→ Behavioral models of users\n→ Organizational patterns\n→ Predictions and outcomes\n→ What worked and what didn't\n\nMEMORY TRIAGE:\n→ Hot (0-7 days): Recent events, instant access\n→ Warm (7-30 days): Still relevant, indexed\n→ Cold (30-90 days): Historical, searchable\n→ Permanent (90+ days): Crystallized knowledge\n→ Discarded: Noise, no business value\n\n→ Repeated patterns strengthen over time\n→ One-off events decay\n→ User-confirmed knowledge elevates instantly\n→ AI patterns must prove themselves\n→ Organizational decisions are permanent by default\n\nWhat the user experiences: The system remembers everything that matters. Decisions from 6 months ago are searchable. Patterns from last quarter inform today’s proposals. Nothing important is ever lost.\n\n---\n\n9. Governance\n\nSafety and Control at Every Layer\n\n→ Role-based access control\n→ Approval workflows (Loop A: human-in-the-loop)\n→ Confidence thresholds for AI proposals\n→ Data retention policies per system\n→ Audit trail for every action\n→ Consent management for connected tools\n→ Policy engine for automated decisions\n→ Compliance and oversight embedded in every workflow\n\nTHE RULE:\n→ AI proposes. Human approves. Spine records.\n→ Nothing is written without passing through governance.\n→ Every decision has a trail.\n\nWhat the user experiences: They feel safe. They know the AI won’t act without permission. They can see what the AI proposed and why. They approve, modify, or dismiss. Every action is logged.\n\n---\n\n10. Agnostic Architecture\n\nNo Dependencies on Anything Specific\n\nINTEGRATION AGNOSTIC:\n→ Nango, Native, MCP, Direct API, LLM Call\n→ Any tool can connect through the right adapter\n\nAI MODEL AGNOSTIC:\n→ Claude, GPT, Gemini, Kimi, DeepSeek, Local, Future\n→ Context stays in Spine. Model swaps underneath.\n\nFRONTEND AGNOSTIC:\n→ Web, Mobile, CLI, Slack, Teams, VS Code,\nChatGPT, Embedded Widget, Partner Portal\n→ All are projections of the same Spine\n\nDEPLOYMENT AGNOSTIC:\n→ Vercel, Cloudflare Workers, Docker,\nKubernetes, On-premise, Replit\n→ The app doesn't know where it runs.\n→ Only the deployment adapter knows.\n\nSTORAGE AGNOSTIC:\n→ Postgres, KV, R2, Vector DB, Queues, Logs\n→ The Spine orchestrates across all of them.\n\nWhat the user experiences: It works wherever they are. Whatever tools they use. Whatever AI model powers it. Whatever infrastructure runs it. They don’t think about any of that.\n\n---\n\n11. Continuity Pipeline\n\nThe Processing Engine That Never Stops\n\nINGESTION → Receives events from all connected tools\nNORMALIZATION → Transforms raw data to canonical schemas\nRESOLUTION → Resolves entities and relationships\nTIMELINE → Records every event chronologically\nKNOWLEDGE → Classifies, extracts, embeds unstructured data\nTRIAGE → Manages memory lifecycle (hot → permanent)\nPROJECTION → Assembles workbench views from Spine truth\nCONTINUITY → Orchestrates all pipelines, guarantees no gaps\n\n→ Runs 24/7. Before the user wakes. After the user sleeps.\n→ Every pipeline stage has dedicated workers.\n→ Workers scale automatically based on load.\n→ No event is ever lost.\n\nWhat the user experiences: They never think about this. It just works. Their data is always fresh. Their workbench is always current. Their search always finds things. Their timeline is always complete.\n\n---\n\n12. Progressive Hydration\n\nValue in Seconds. Depth Over Time.\n\nINSTANT HYDRATION (60 seconds):\n→ Basic entity count\n→ \"847 accounts, 12,000 contacts found\"\n→ Enough to show immediate value\n\nOPERATIONAL HYDRATION (5-15 minutes):\n→ Full entity resolution\n→ Relationship mapping\n→ Timeline population\n→ Search indexing\n→ Workbench ready for daily use\n\nCONTINUOUS HYDRATION (ongoing):\n→ Real-time sync\n→ Memory building\n→ Pattern detection\n→ AI learning\n→ System gets smarter every day\n\nWhat the user experiences: They see value in the first minute. Their workbench is fully functional in 15 minutes. And it gets better every day they use it.\n\n---\n\n13. GTM Motion\n\nFrom Discovery to Expansion\n\nDISCOVERY → Marketplace, search, referral, content\nSIGNUP → Email, OAuth, marketplace install\nIDENTITY → Single EcosystemConnection (L0)\nCONNECT → Tool selection, OAuth flows, capability discovery\nHYDRATE → Instant → Operational → Continuous\nTWIN → First proposals, morning briefing\nDAILY USE → User works. System works. AI learns.\nEXPANSION → More tools, more users, more domain packs\n\nWhat the user experiences: They find it, sign up, connect their tools, see value in 60 seconds, and never leave. The system grows with them.\n\n---\n\n14. Experience Layer\n\nMultiple Experiences. One Platform.\n\nWORKSPACE → Full operational workbench\nWORKSPACE LITE → Simplified for small teams\nDOCS → Knowledge and document management\nMARKETING → Campaign and content management\nEXECUTIVE → KPI and portfolio view\nAI COMPANION → Conversational interface to the Spine\nMOBILE → On-the-go access to key views\nWHITE-LABEL → Custom-branded for partners\nPARTNER PORTAL → External ecosystem access\n\nAll consume the same Platform.\nAll read from the same Spine.\nAll use the same Governance.\nEach assembled from Shared + Common + Private features.\n\nWhat the user experiences: Whatever interface they need, the platform provides. A sales rep on mobile. An executive on a dashboard. A developer in VS Code. A partner in a white-labeled portal. Same truth everywhere.\n\n---\n\nThe Complete Feature Map\n\n# FEATURE LAYER TYPE\n\n── ──────────────────────── ─────────── ──────────────\n1 One-Click Connection Platform Core\n2 Integration Manager Platform Core\n3 Single Source of Truth Platform Core\n4 Human Workbench Experience Core\n5 Feature Composition Experience Core\n6 Connector Marketplace Platform Core\n7 Digital Twin (AI) Intelligence Core\n8 Organizational Memory Platform Core\n9 Governance Platform Core\n10 Agnostic Architecture Platform Core\n11 Continuity Pipeline Platform Core\n12 Progressive Hydration Platform Core\n13 GTM Motion Business Core\n14 Experience Layer Experience Core\n\n---\n\nThe Three Things That Matter Most\n\nIf you strip everything down to the essentials, the product does three things:\n\n1. CONNECT\n   → One auth. All tools connected.\n   → Integration Manager handles everything.\n\n2. UNIFY\n   → All data flows into the Spine.\n   → One truth. Every entity resolved.\n   → User works on unified data.\n\n3. INTELLIGENCE\n   → AI watches the unified data.\n   → Proposes actions. Learns patterns.\n   → Gets smarter every day.\n   → Human approves. System executes.\n\nConnect. Unify. Intelligence.\nThat is the product.\n\n---\n\nOne click to make tools and AI work for humans. That is IntegrateWise. Everything else — the pipelines, the workers, the triage, the governance, the agnostic layers — is the architecture that makes that one click possible.\n\nSimply to say Human User should not give the context even after this point to ai, asking this and that, Since AI is already having context it should be proactive as its there in the screenshot\n\nAlso the capablities of the tool should be also exhibited in our workspace, its like simple calling, or viewing contact or updating the fieds, Marking the Lead as active and so can directly be performed in our Workspace and later that can be synced with the real tool or we can even have real sync with tools too, plus Mixing up of Fields from multiple tools related, Like Website manager should be a point where it shows the number of users visit, the blog content, linking the content, images, and so multple\n"}