Quick Index — Enterprise Search
Permission-aware search over 40+ connectors — S3, SharePoint, Confluence, Salesforce, ServiceNow, Jira, Slack, Teams, and more. Inherits ACLs from source systems via IAM Identity Center.
Amazon Quick Suite
Amazon Quick Suite is AWS’s agentic workspace for employees — unified enterprise search (Quick Index), multi-source analysis (Quick Research), workflow automation (Quick Flows / Quick Automate), and governed BI (Quick Sight). Net-new buyers after July 30, 2026 should start here instead of Amazon Q Business.
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AWS lifecycle context (June 30, 2026) — Amazon Q Business is in maintenance for new customers after July 30, 2026. Amazon Quick Suite is AWS’s recommended path for net-new workforce AI. Existing Q Business customers remain supported. Full matrix: lifecycle roundup.
Amazon Quick Suite is AWS’s unified agentic workspace — the evolution of Amazon Q Business plus QuickSight BI capabilities. It combines Quick Index (enterprise search), Quick Research (multi-source analysis), Quick Flows / Quick Automate (workflow automation), and Quick Sight (governed BI) in one permission-aware platform inside your AWS account.
FactualMinds implements Quick Suite for organizations that need employees to stop searching and start asking — with ACL inheritance from SharePoint, Confluence, Salesforce, and 40+ other connectors.
| Dimension | Amazon Quick Suite | Amazon Q Business | Bedrock AgentCore |
|---|---|---|---|
| Net-new availability (July 2026) | Yes — default path | Maintenance — no new customers after July 30 | Yes — for custom agents |
| Primary user | Employees | Employees (existing tenants) | Product/API consumers |
| Permission-aware search | Yes | Yes | Build-your-own |
| Low-code automation | Quick Flows / Automate | Q Apps / plugins | Custom tools + Gateway |
| Best for | Workforce knowledge + research | Existing Q Business continuity | Customer-facing agents |
For customer-facing support bots or embedded product AI, pair Quick Suite (internal escalation docs) with Bedrock AgentCore. Decision framework: AgentCore vs Quick guide.
Phase 1 — Discover (Week 1): Inventory data sources, permission models, and Q Business migration scope if applicable. Map IAM Identity Center groups to Quick Index access policies.
Phase 2 — Configure (Weeks 2–3): Stand up Quick Suite application, connect priority connectors, configure Enterprise Index units, and validate ACL propagation with test queries per department.
Phase 3 — Tune (Week 3–4): Guardrails, topic blocks, Quick Flows for top three repetitive workflows, and Quick Research prompts for analyst personas.
Phase 4 — Deploy (Week 4–5): Pilot cohort, feedback loop, full rollout with training materials and adoption dashboard.
Phase 5 — Monitor (Ongoing): Query volume, unanswered questions, failed retrievals, and index freshness — same operational discipline as our Q Business deployments.
If you run Amazon Q Business today:
Existing customers: see Amazon Q for Business (existing customers) for continuity support.
Contact FactualMinds for a free Quick Suite assessment — we scope migration effort, connector gaps, and realistic timeline in 30 minutes.
Permission-aware search over 40+ connectors — S3, SharePoint, Confluence, Salesforce, ServiceNow, Jira, Slack, Teams, and more. Inherits ACLs from source systems via IAM Identity Center.
Agents that synthesize answers across connected data sources with citations — for analyst workflows, due diligence, and cross-system investigations without manual tab-switching.
Low-code workflow automation triggered from conversations — ticket creation, approvals, scheduled reports, and recurring triage runbooks without custom Lambda glue.
Natural-language questions on curated QuickSight datasets with semantic layers — executives and analysts query governed metrics without writing SQL.
Block out-of-scope topics, prevent sensitive data exposure, and enforce response quality across the workspace — same enterprise safety model as Q Business lineage.
Connect privately hosted MCP servers on EC2, Fargate, or AgentCore without internet exposure — extend Quick Suite to internal APIs and proprietary data stores.
Amazon Q Business enters maintenance for new customers after July 30, 2026. Quick Suite is AWS’s forward path — we migrate existing Q Business indexes or greenfield Quick Suite deployments.
Answers respect source-system ACLs. A sales rep sees only their Salesforce data; HR policies stay scoped to authorized groups — no data governance regression vs Q Business.
User training, change management playbooks, and adoption dashboards so Quick Suite gets used — not just provisioned. Typical time to peak adoption: 3–4 weeks.
Quick Suite lineage services are HIPAA-eligible under AWS BAA. We configure encryption, residency, and CloudTrail audit logging for healthcare and fintech clients.
Quick Suite for employees; AgentCore Harness or Strands for customer-facing product agents — shared IAM Identity Center and data boundaries. Chat Agents / Flows / Automate vs Harness / Strands is a five-surface choice; the July platform guide still covers seat-vs-session TCO.
Structured five-phase methodology: discover data sources, configure connectors, tune guardrails, pilot, monitor — same rigor we applied to 20+ Q Business and Bedrock productions.
Implementation guides for this service from our team of AWS experts.
Quick Suite GA October 2025; Q Business and Kendra freeze new customers after July 30, 2026. A 420-seat professional-services firm paused a $38K/year Kendra quote and cut evaluation from 9 weeks to 3 by starting on Quick instead.
First-party TCO benchmark (July 2026): 500-employee Quick Suite ~$3,580/mo vs AgentCore support agent ~$791/mo at 50K sessions. CTO framework for choosing managed assistants vs custom agent infrastructure on AWS.
On June 30, 2026 AWS announced maintenance mode for Bedrock Agents Classic, Q Business, Kendra, and 20+ other services — plus sunsets for WorkSpaces PCoIP and end-of-support for Chime SDK Carrier Voice Focus. Migration matrix and decision guide for enterprise teams.
Amazon Q for Business is a generative AI assistant for enterprise search and document retrieval. This guide covers setup with SharePoint and S3 data sources, user management, and production deployment patterns.
Third-party tools we frequently wire into AWS as part of this engagement — production-tested integration guides for each.
Architecture patterns, decision trees, and glossary terms that map to this engagement.
Production retrieval-augmented generation on AWS — Bedrock Knowledge Bases on S3 Vectors for cost-efficient retrieval, Bedrock Guardrails for safety, and per-tenant inference profiles for spend caps. The 2026 AWS-native default for enterprise RAG.
Amazon Q is the AWS family of generative AI assistants — Q Business, Q Developer, Q in QuickSight, and Q in Connect — designed for enterprise workloads with permission-aware data access.
Retrieval-Augmented Generation: combining document retrieval with AI models to answer questions based on specific data.
Fully managed service providing access to foundation models from Amazon, Anthropic, Meta, Mistral, and others — for building generative AI applications.
In-depth guides and best practices from our certified AWS architects.
Checked 16 Oct 2026: Qwen Decider 2B v1 scores 180 of 231. Gemma 4 12B, released 15 Oct, scores 200 of 231 at a 136 ms H100 median. Jev stays $0.042/MTok, with no matching JevBench row.
Read articleThree coding CLIs, three permission models. Cursor agent 2026.01.28, Claude Code 2.1.296, and Codex from OpenAI's docs. Checked 11 October 2026.
Read articleTwo CLIs, not one binary named bedrock-cli. AWS CLI 2.37.12 and agentcore 0.30.0, checked 11 October 2026.
Read articleReal engagements where FactualMinds implemented this service for clients.
In-depth comparisons to help you choose the right approach before engaging.
Talk to our AWS experts about how we can help transform your business.
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