RightShift AI · Shift to AI. The right way.
AI Transformation
Operating System
Operating System
We help small and medium businesses adopt AI responsibly, practically, and with measurable results — not complexity, not hype. Complete your assessments and every report, gap analysis, roadmap, and risk register generates instantly.
Admin time reduction
−38%
Achieved across clients
Staff adoption rate
100%
Achieved on engagements
Avg Accelerator delivery
8 wks
Full implementation
Total modules
18
Governance + Services
1Phase 1 — Assess + Phase 2 — Plan
Phase 1 · Assess
AI Maturity Assessment
50 questions → radar chart, gap report & 12-month roadmap generated instantly
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Phase 1 · Assess
Use Case Engine
Score use cases across 5 dimensions → Quick Wins, Strategic Bets & prioritised pipeline
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Phase 1 · Assess
ISO 42001 Gap Assessment
Clause scoring → gap report, conformance roadmap & audit checklist instantly
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Phase 1 · Assess
Responsible AI Framework
7 principles → control gap analysis & policy framework generated instantly
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Phase 1 · Assess
AI Security Risk Register
8 threat categories → full risk register with residual scores & controls instantly
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Phase 2 · Plan
ROI & Value Framework
16 inputs → 3-year model, licence tracker, prompt telemetry & implementation verdict
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Phase 2 · Plan
Readiness Heatmap
Department-level AI readiness — click any cell for blockers and recommended actions
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Phase 2 · Plan
Adoption Risk Predictor
6 risk factors → change risk profile & 90-day mitigation plan instantly
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Phase 2 · Plan
AI System Recommender
15 systems scored → ranked recommendations, comparison matrix & implementation plan
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Phase 2 · Plan
AI Vendor Selection
Independent vendor evaluation • procurement scoring • recommendation report
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3Phase 3 — Deliver
Services · Delivery
AI Literacy Workshop
Half or full day · Up to 20 staff · Industry-specific curriculum · Attendance register
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Domain 07 · Assurance
Executive Report
All scores → consolidated board report across all seven domains instantly
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4Phase 4 — Optimise
Phase 4 · Optimise
Adoption Dashboard
User register, query analytics by type, prompt telemetry & adoption health by BU
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Phase 4 · Optimise
Prompt Library & Builder
Custom prompt library • workflow-specific templates • live tester with token metrics
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Phase 4 · Optimise
Token Optimisation
Reduce API costs • prompt efficiency analysis • model right-sizing recommendations
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Phase 4 · Optimise
AI Tool Audit & Rationalisation
Register your AI stack • find duplicates • cut wasted spend • close governance gaps
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★Our Services
AI Starter — Readiness Audit
On-site assessment · Findings report · 90-day roadmap
Project
AI Accelerator — Implementation
Governance + build + training + 30-day support
Project
AI Partner — Fractional Retainer
Monthly strategy · Tool evaluation · Ongoing advisory
Retainer
AI Governance & Policy
Acceptable use policy · Risk framework · Compliance
Project
AI Literacy Workshop
Half or full day · Up to 20 staff · Industry-specific
Session
AI ROI Assessment
Financial model · Business case · Value quantification
Project
Prompt Engineering & Library
Custom prompt library · Workflow-specific templates
Project
Token Optimisation
Reduce API costs · Prompt efficiency · Model right-sizing
Project
AI Vendor Selection
Independent evaluation · Procurement guidance
Project
AI Tool Audit & Rationalisation
Stack review · Eliminate duplication · Cut wasted spend
Project
Phase 0 · SetupConfiguration
Organisation setup
This context is embedded in every report header. Configure before running assessments.
Client details
Engagement context
Engagement flow
Phase 1 · AssessDomain 01 · AI Strategy & Leadership
AI Maturity Assessment
Answer 50 questions across 10 dimensions. Your gap report, radar chart, and 12-month roadmap generate instantly from your scores.
Step 1 of 1010%
Complete the assessment to view results
Engagement flow
Phase 1 · AssessDomain 01 · Strategy
Use Case Prioritisation
Score use cases across five dimensions. Results classify instantly as Quick Wins, Transformation Bets, or Pipeline.
AI6 REQUIREMENT — PRACTICE 2: UNDERSTAND IMPACTS AND PLAN ACCORDINGLY
AI6 requires organisations to assess AI use cases across five impact domains before deployment: Privacy, Safety, Fairness, Security, and Employment. Higher-risk systems require enhanced governance oversight. This assessment determines the governance tier required per use case.
AI Impact Assessment — per use case
Rate impact across the 5 AI6 domains (1 = minimal, 5 = critical)
Engagement flow
Phase 1 · AssessDomain 02 · ISO/IEC 42001 AIMS
AIMS Gap Assessment
Score each clause 0–5. Your gap report, conformance roadmap, and audit checklist generate instantly from your scores.
Engagement flow
Phase 1 · AssessDomain 03 · Responsible & Ethical AI
Responsible AI Framework
Score your control maturity across the seven RAI principles. Your gap analysis and policy recommendations generate instantly.
AI6 REQUIREMENT — PRACTICE 6 + AI ETHICS PRINCIPLE 7
AI6 requires organisations to define how people affected by AI-influenced decisions can challenge outcomes, seek human review, and obtain redress. This must be documented per system and communicated to affected parties.
Add contestability mechanism per AI system
CONTESTABILITY POLICY TEMPLATE
Use this standard clause in your AI governance policy:
"Where an AI-assisted decision significantly affects an individual, [Organisation] will, upon request, provide: (1) a plain-language explanation of the factors considered; (2) the name and contact details of the accountable human officer; and (3) a process to seek human review of the decision within [X] business days. This process is available at [URL/contact details]."
"Where an AI-assisted decision significantly affects an individual, [Organisation] will, upon request, provide: (1) a plain-language explanation of the factors considered; (2) the name and contact details of the accountable human officer; and (3) a process to seek human review of the decision within [X] business days. This process is available at [URL/contact details]."
AI6 REQUIREMENT — AI ETHICS PRINCIPLE 6: TRANSPARENCY & EXPLAINABILITY
AI6 requires organisations to clearly explain how AI systems reach outcomes. Where explainability is limited, you must document why and apply increased human oversight. Score each system below.
Rate explainability per AI system
Engagement flow
Phase 1 · AssessDomain 04 · AI Security
AI Security Risk Scanner
Score likelihood and controls for 8 AI-specific threats. Your risk register and control framework generate instantly.
AI6 REQUIREMENT — PRACTICE 5: TEST AND MONITOR
AI6 requires organisations to define incident thresholds and escalation paths — including when to pause, roll back, or retire an AI system. This module produces your AI Incident Response Plan aligned to AI6 Practice 5.
AI Incident Classification Matrix
Define your incident severity levels. AI incidents differ from IT incidents — they include bias drift, accuracy degradation, data poisoning, and discriminatory outputs.
P1 — CRITICAL
AI system causes harm to individuals or groups · Discriminatory output affecting protected characteristics · Data breach via AI · System used maliciously
Response: Immediate shutdown. Notify CEO + Legal within 1 hour.
P2 — HIGH
Significant accuracy degradation (>15%) · Bias detected in outputs · Prompt injection exploited · Unintended data disclosure
Response: Suspend within 4 hours. Notify AI Lead + Risk within 2 hours.
P3 — MEDIUM
Accuracy below threshold (>5%) · Unexpected outputs increasing · User complaints exceeding threshold · DPA non-compliance identified
Response: Review within 24 hours. Notify AI Lead. Enhanced monitoring.
P4 — LOW
Minor accuracy drift · Individual user complaint · Model performance below target but above threshold · Documentation gap identified
Response: Log and review at next scheduled review. Monitor closely.
Incident Response Plan — customise for your organisation
Incident log
| Date | System | Severity | Description | Status |
|---|
No incidents logged — this is a good sign. Log any incidents as they occur for your AI6 evidence trail.
Engagement flow
Phase 2 · PlanDomain 05 · Implementation Governance
ROI & Value Framework
Comprehensive ROI measurement: financial model, licence efficiency, adoption metrics, user satisfaction, prompt telemetry, and overall implementation verdict.
Workforce inputs
Financial inputs
Licence inputs
Usage & quality inputs
Engagement flow
Phase 2 · PlanDomain 05 · Implementation Governance
AI Readiness Heatmap
Department-level readiness. Click any cell for blockers and actions.
Engagement flow
Phase 2 · PlanDomain 06 · Adoption & Change
Adoption Risk Predictor
Rate six adoption risk factors. Your risk profile and 90-day mitigation plan generate instantly.
AI6 + NATIONAL AI PLAN REQUIREMENT — WORKFORCE CONSULTATION
Australia's National AI Plan (December 2025) is explicit: AI use must be consultative, with early involvement of workers and unions where AI may affect job roles, processes, or workplace conditions. The AI6 framework requires organisations to understand employment impacts and plan accordingly. This module documents and tracks your workforce consultation obligations.
Workforce consultation requirements — per AI implementation
What does effective consultation look like?
MINIMUM REQUIREMENTS
✓ Inform affected staff before AI is deployed — not after
✓ Explain what the AI does and how it will change their role
✓ Provide a genuine opportunity for input — not just notification
✓ Document feedback received and how it influenced the implementation
✓ Notify union delegates if an EA consultation clause applies
COMMON GAPS (HIGH RISK)
✗ Announcing AI after procurement is complete ("consultation theatre")
✗ Framing consultation as a training session rather than genuine input
✗ Not informing union when EA has a change consultation clause
✗ No documentation of what was raised and how it was addressed
✗ Treating all roles the same — high-impact roles need deeper engagement
WORKFORCE CONSULTATION STATEMENT TEMPLATE
Include this or equivalent language in your AI implementation plan:
"Prior to implementing [AI System] in roles affecting [Teams/Roles], [Organisation] will: (1) brief affected staff on the system's purpose and expected impact on their work; (2) provide a structured opportunity for feedback through [consultation method]; (3) notify [union/delegates] in accordance with [EA clause]; (4) document all feedback received and how it has been considered in the implementation design; and (5) provide training before go-live. This process will be completed by [date] and documented in the Workforce Consultation Register."
"Prior to implementing [AI System] in roles affecting [Teams/Roles], [Organisation] will: (1) brief affected staff on the system's purpose and expected impact on their work; (2) provide a structured opportunity for feedback through [consultation method]; (3) notify [union/delegates] in accordance with [EA clause]; (4) document all feedback received and how it has been considered in the implementation design; and (5) provide training before go-live. This process will be completed by [date] and documented in the Workforce Consultation Register."
Engagement flow
Phase 3 · DeliverDomain 07 · Continuous Assurance
Executive Report
Consolidated board-ready report across all seven domains. Generates instantly from your assessment scores.
Engagement flow
Phase 4 · OptimiseAnalytics · Usage Intelligence
Adoption Dashboard
Track every user, every query, and every interaction. Identify who is using AI, how, and who needs support. Export any view for your governance reporting.
Total users registered
—
Active last 7 days
—
Active last 30 days
—
Never used
—
Adoption rate
—
Avg queries/user/week
—
Add / update user record
Users who have never used AI — require intervention
Add users above to see who has not engaged.
Total queries this month
—
Avg queries/active user
—
Peak day queries
—
Hours saved (estimated)
—
Log query batch by type
Monthly query volume trend
Log queries by month above to see the trend.
Avg prompt length (tokens)
—
Avg response length (tokens)
—
Prompt acceptance rate
—
Prompt revision rate
—
Output accuracy rate
—
Est. monthly token cost ($)
—
Log prompt telemetry snapshot
Prompt quality signals
Log telemetry data to see automated quality insights and recommendations.
Add user data and query logs to generate the adoption health report
Engagement flow
Phase 2 · PlanAI System Recommender
Which AI system should you implement?
Answer 6 factors about your organisation, use case, and constraints. The engine scores your requirements against 25+ AI platforms and recommends the best fit — with comparison matrix and implementation roadmap.
1. Primary use case
2. Technical & ecosystem context
3. Regulatory & data requirements
4. Budget & timeline
5. Key priorities (rank top 3)
Select up to 3 priorities
6. Deal-breakers
Complete the requirements and click Recommend to see your personalised AI system shortlist
Generate recommendations first to see the comparison matrix
Generate recommendations first, or select a system above to build a detailed implementation plan
Engagement flow
Phase 4 · OptimiseOptimisation · Prompt Engineering
Prompt Library & Builder
Build, test, and deploy a custom prompt library for your organisation. Role-specific templates, workflow prompts, and a live prompt tester.
Total prompts
0
Categories
0
Most used
—
Avg quality score
—
Add prompt to library
Prompt structure builder
A well-structured prompt has 5 components. Fill each section — the builder assembles the final prompt automatically.
Assembled prompt preview
Fill in the fields on the left to assemble your prompt...
Prompt quality checklist
Complete the fields to see quality assessment...
Test a prompt
Tokens used: —
Est. cost: —
Latency: —
Output
Run a prompt to see the output here...
Engagement flow
Phase 4 · OptimiseOptimisation · Cost Management
Token Optimisation
Reduce API costs, improve prompt efficiency, and right-size your AI model selection. Calculate your current spend and identify savings opportunities.
Current usage inputs
Optimisation levers
Compare models for your use case
Run the cost calculator first to generate your optimisation report
Engagement flow
Phase 4 · OptimiseOptimisation · Stack Rationalisation
AI Tool Audit & Rationalisation
Review your entire AI tool stack. Identify duplication, cut wasted spend, and build a rationalised AI tool register aligned to your governance framework.
Tools registered
0
Annual spend
$0
Duplicate functions
0
Shadow AI tools
0
Potential savings
$0
Governance gaps
0
Register an AI tool
Register your AI tools and click "Run audit" to generate findings
Generate audit findings first to produce the rationalisation plan
AI6 REQUIREMENT — PRACTICE 1: DECIDE WHO IS ACCOUNTABLE
The NAIC Guidance for AI Adoption (AI6, Oct 2025) requires organisations to maintain an AI System Register covering: purpose, data sources, key risks, controls, owners, risk classification, and review cadence per system. This register satisfies that obligation.
Register an AI system (AI6-compliant)
Systems registered
0
High / Critical risk
0
DPA gaps
0
Engagement flow
Phase 3 · DeliverServices · Learning & Development
AI Literacy Workshop
Plan, run, and track AI literacy programs. Half or full-day workshops for up to 20 staff. Industry-specific curriculum, attendance register, and completion certificates.
Workshop configuration
Workshop plan
Configure the workshop details and click Generate to see the customised program, learning outcomes, and preparation checklist.
Add participant
Generate a workshop plan first to see the tailored curriculum and downloadable materials
Engagement flow
Phase 2 · PlanServices · Procurement
AI Vendor Selection
Independent vendor evaluation and procurement guidance. Score vendors against your requirements, generate a comparison report, and produce a procurement recommendation.
Procurement context
Mandatory requirements
Add a vendor to evaluate
Add vendors and click Generate to see the comparison
Generate comparison first to produce the procurement recommendation report
Engagement flow