Artifacts

Where Envision deliverables are stored, versioned, viewed, and regenerated for different audiences.

The Artifacts panel is Qubitz AI's document management and generation hub. Open it from the Artifacts button in the Jamming Board header. It stores all generated deliverables, provides an integrated PDF viewer with AI chat, and lets you generate additional artifacts on demand.

Artifacts Panel

The Outcome

Every deliverable from your assessment run in one place, versioned, and reshaped for whichever audience has to approve the work.

Before You Start

You need a completed pipeline run - see Getting Started. AI Use Case Discovery, Deep Research, and Use Case List are produced automatically during the run. Executive Presentation and AWS Architecture Diagram exist only once you ask for them.

If you took the full AI Readiness route, your six scored PDF reports are in this panel too - Reading Your Readiness Reports covers what each one is for.

Know who the artifact is for before you generate it. The instructions field is what separates a useful document from a generic one, and that depends entirely on the audience.

Start Here

Open the Artifacts button in the Jamming Board header and read AI Use Case Discovery first. It is the structured view of what the run concluded, and everything else in the panel expands on part of it.

Layout

The Artifacts view has two areas:

  • Left - PDF viewer. Displays the currently selected artifact. Full toolbar: page navigation, zoom, rotate, download, print.
  • Right - Artifacts panel ("Generated content and documents"). Lists all artifact categories. Expand any category to see versions with dates. Select a version to load it in the viewer.
  • Chat / View Original - Buttons in the top-right. Chat switches the right panel to an AI chat interface where you can ask questions about the open document. View Original opens the source file directly.

Artifact Types

Five artifact types are available:

TypeIconDescription
AI Use Case DiscoveryDocument (blue)AI-powered analysis identifying potential use cases and business opportunities from your requirements
Deep ResearchDocument (green)Comprehensive research report with detailed analysis, market insights, and implementation strategies
Use Case ListList (green)Comprehensive table of AI use cases with business problems, potential solutions, and expected outcomes
Executive PresentationPresentation (purple)Professional PowerPoint for executive stakeholders with key insights and recommendations
AWS Architecture DiagramDiagram (orange)Visual representation of AWS infrastructure and services architecture

The first three (AI Use Case Discovery, Deep Research, Use Case List) are auto-generated during the pipeline run. Executive Presentation and AWS Architecture Diagram are generated on demand.

Artifact Versioning

Every artifact supports versioning. Expand a category in the panel to see all generated versions with creation dates:

AI Use Case Discovery
  └── AI Use Case Discovery v1 - 03/09/2026
Deep Research
  └── Deep Research v1 - 03/09/2026

Each regeneration creates a new version (v2, v3...) without overwriting previous versions. Select any version to open it in the viewer.

Generating New Artifacts

Click Generate New Artifact at the bottom of the Artifacts panel. Select an artifact type - different fields appear depending on type:

Artifact TypeRequired Inputs
AI Use Case DiscoveryCustom instructions (text)
Deep ResearchCustom instructions (text)
Use Case ListCustom instructions (text)
Executive PresentationAI Discovery Report version, Tone
AWS Architecture DiagramSelect use case from dropdown

Example instructions for regenerating a report:

  • "Focus more on healthcare verticals and HIPAA compliance"
  • "Make the tone more executive-friendly with less technical detail"
  • "Add a section on data governance and privacy"
  • "Include more quantified ROI projections"

Regeneration always creates a new version - it never overwrites the original.

AWS Architecture Diagram

AWS Architecture Diagram

The AWS Architecture Diagram is generated per use case. Select a use case from the dropdown in the generation form, click Generate, and the diagram renders as an interactive canvas.

The diagram shows three main zones:

ZoneWhat It Contains
Use Case Driven Agent SystemAgent definitions, tool integrations, memory/knowledge config, guardrails, evaluation criteria
Amazon Bedrock AgentCoreAI tools, runtime services, security & governance, observability
Deployed Customer ApplicationCustomer data layer (S3, DynamoDB), application layer (Amplify, Cognito, API Gateway), AWS foundation

At the bottom of the diagram, agent chips show the individual agents for that use case (e.g. Process Discovery Agent, Feasibility Analyzer, ROI Calculator) with their role classification.

Viewer controls: zoom in/out, reset, open in external editor. Click Chat to ask questions about the architecture.

Artifact Deep Dives

AI Use Case Discovery

Structured assessment of your business translated into prioritised AI opportunities. Contains:

  • Executive summary with market statistics
  • Use Case Decision Matrix scored across Business Value, Feasibility, Risk, ROI timeline, Time-to-Impact
  • Impact deep-dives with technical approach and implementation timelines per use case
  • Agentic system architecture diagrams
  • Risk heatmap (Likelihood x Impact)
  • AI Capability Maturity rating across 6 dimensions
  • Three-phase Adoption Roadmap (Foundation, Market Entry, Scale)
  • Tech-Business Alignment matrix
  • Strategic recommendations with KPIs

Deep Research

25+ page market intelligence document with live web research and cited references. Contains:

  • Competitive positioning within the AWS partner ecosystem
  • Industry-specific opportunity assessments
  • Platform strategy recommendations with gap analysis
  • Strategic technology roadmap (Agentic AI, multi-agent orchestration, RAG 2.0, edge computing)
  • Live citations from authoritative sources with full bibliography
  • Market size statistics and sector-specific ROI benchmarks

Use Case List

Concise structured PDF covering 10-12 use cases in a consistent three-part format:

  • Business Problem - specific challenge with quantified impact
  • Potential AI Solution - proposed approach, technology components, integration points
  • Expected Outcome - efficiency gains, cost savings, revenue impact, time-to-value

Executive Presentation

10-slide PowerPoint automatically generated from your AI Discovery Report:

SlideContent
1Title - company name, "AI Discovery & Roadmap"
2Executive Summary
3Market Context
4-6Top 3 priority use cases (solution overview, business impact, implementation)
7Risk Assessment
8AI Maturity scores
9Roadmap
10Recommendations

Downloadable as PPTX. Tone options: Professional, Executive, Technical.

Advanced Usage

Writing Effective Custom Instructions

The Instructions field accepts natural language. The more specific the instruction, the more targeted the output.

GoalExample Instruction
Audience change"Rewrite for a non-technical board audience - remove technical acronyms and lead with business outcomes"
Vertical focus"Focus the analysis on Financial Services - include FCA regulatory context and open banking opportunities"
Depth adjustment"Expand the ROI section with more detailed calculation methodology and assumptions"
Length control"Compress to 8 pages - keep the decision matrix and top 3 use cases, cut the rest"
Tone shift"Switch tone from analytical to persuasive - we need this for a sales conversation"
Section addition"Add a data governance section covering GDPR implications and retention policies"

Targeting Different Audiences

A common pattern is generating parallel variants of the same artifact for different audiences:

VariantInstruction Approach
Technical team"Keep all architecture diagrams and technical detail - expand the implementation methodology"
C-suite"Lead with quantified business outcomes and ROI. Minimise technical implementation detail"
Board presentation"Executive summary format - strategic framing, risk, and roadmap in under 5 pages"
Sales conversation"Persuasive tone, competitive differentiation framing, emphasis on time-to-value"

Each variant is saved as a separate versioned artifact under the same category - none overwrite each other.

AI Chat Cross-Referencing

The AI Chat responds based on whichever artifact is currently open in the viewer. To compare insights across artifacts:

  1. Open the first artifact (e.g., AI Discovery Report)
  2. Ask the AI Chat a question
  3. Switch to a second artifact (e.g., Deep Research)
  4. Ask the same question - the AI Chat now answers from the second document's context

What Good Looks Like

  • The auto-generated artifacts have been read, not just downloaded
  • Each regeneration was driven by a named audience, and the instruction says what to change rather than asking for something better
  • Versions are stacking up under their categories, so you can show how the argument changed rather than only where it ended
  • An Executive Presentation exists for the people who approve the spend, and an AWS Architecture Diagram exists for the use case you intend to build
  • The claims in the artifacts match what your team concluded on the Jamming Board

Where This Leads