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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Amazon Quick Suite consulting — Quick Index, Quick Research, Quick Flows, Quick Automate, and permission-aware enterprise search. AWS Partner implementation for net-new workforce AI.
Quick Suite subsumes Q Business capabilities and adds Quick Research, Quick Flows, Quick Automate, and deeper Quick Sight integration in one agentic workspace. Q Business enters maintenance for new customers after July 30, 2026; existing Q Business customers can attach indexes to Quick Suite. Net-new evaluators should start with Quick Suite.
Choose Quick Suite for employee-facing, permission-aware knowledge work with minimal engineering — HR policy search, internal wiki Q&A, analyst research. Choose AgentCore when the agent is customer-facing, embedded in your product, or requires custom orchestration and Git-versioned tool chains. See our AgentCore vs Quick decision guide for TCO benchmarks.
Yes. Existing Q Business indexes and connector configurations can attach to Quick Suite without re-crawling all sources in most cases. We run a migration assessment in week one: connector inventory, ACL mapping validation, guardrail parity, and user cutover plan.
Quick Index supports the same 40+ connector ecosystem as Q Business — S3, SharePoint, Confluence, Salesforce, ServiceNow, Jira, Zendesk, Slack, Teams, GitHub, and more — with ACL propagation and delta sync.
Quick Suite lineage services are on the AWS HIPAA-eligible services list under the same BAA model as Q Business. We configure region pinning, KMS encryption, and CloudTrail logging for regulated workloads.
A standard deployment connecting 3–5 data sources takes 4–6 weeks: discovery and IAM Identity Center (week 1), connector and index setup (weeks 2–3), guardrails and testing (week 3–4), rollout and training (weeks 4–5). Q Business migrations with existing indexes often shave 1–2 weeks off connector work.
Quick Suite inherits Q Business pricing tiers ($3/user/month Lite, $20/user/month Pro in us-east-1 as of July 2026) plus Enterprise Index units ($0.264/hour per unit). Use our Amazon Q pricing calculator for seat and index modeling — it notes Q Business maintenance and Quick Suite as the net-new path.
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 for customer-facing product agents — shared IAM Identity Center and data boundaries. See our decision guide for TCO modeling.
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.
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.
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.
Real 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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