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AWS Evaluation Evidence Pack
Council Chatbot
AI-powered resident Q&A assistant that answers queries 24/7
Generated from NDX:Try AWS evaluation platform
Innovation Sandbox environment
Report ID: council-chatbot--cto
Executive Summary
Scenario Overview
Deploy an intelligent chatbot that can answer common resident questions about council services, bin collections, planning applications, and more. Uses Amazon Bedrock for natural language understanding with pre-configured council knowledge.
Key Findings
Deployment: Successful deployment in 3-5 minutes
Evaluation: Multiple scenarios tested
Recommendation:
Not recommended at this time
Quick Stats
- Scenario
- Council Chatbot
- Difficulty
- Beginner
- Deployment Time
- 3-5 minutes
- Evaluation Cost
AWS Services Evaluated
Amazon Bedrock Amazon Lex AWS Lambda Amazon S3
Key Evaluation Insights
Architecture & Security Assessment
CTO
Architecture, security, and technical decision-making perspective
Architecture Overview
This scenario uses a serverless architecture leveraging the following AWS services:
- Amazon Bedrock
- Amazon Lex
- AWS Lambda
- Amazon S3
Deployment Architecture
The deployment uses AWS CloudFormation infrastructure-as-code with the following characteristics:
- Deployment Method
- CloudFormation Template (Infrastructure as Code)
- Region
- US-EAST-1 (London)
- Deployment Time
- 3-5 minutes
- Required Capabilities
- CAPABILITY_IAM
Deployment Phases
- Creating IAM roles (~30 seconds)
- Creating S3 bucket for knowledge base (~10 seconds)
- Creating Lambda functions (~60 seconds)
- Configuring Amazon Lex bot (~120 seconds)
- Setting up Bedrock integration (~30 seconds)
Scalability & Performance
Serverless Architecture: The solution automatically scales based on demand. Lambda functions scale horizontally, and managed services (Bedrock, Lex) handle scaling transparently.
Cost Model: Pay-per-use pricing means costs scale with actual usage, not peak capacity provisioning.
Security Summary
Innovation Sandbox isolated - safe to experiment with full data protection
- Network Isolation
- Innovation Sandbox - isolated from production
- IAM Permissions
- Least privilege principle applied to all roles
- Auto-Cleanup
- Resources automatically deleted after evaluation period
Security & Compliance
CTO
Architecture, security, and technical decision-making perspective
Data Residency & Sovereignty
US (us-east-1 N. Virginia region)
All data remains within the UK, meeting UK data sovereignty and GDPR requirements.
Encryption
AES-256 at rest, TLS 1.3 in transit
- Data at Rest
- AES-256 encryption (S3, DynamoDB)
- Data in Transit
- TLS 1.3 for all API communications
- Key Management
- AWS KMS with automatic key rotation
Data Handling
No data leaves UK; AWS shared responsibility model applies
AWS Certifications & Compliance
AWS holds certifications that support council compliance requirements:
- ISO 27001
- SOC 2 Type II
- Cyber Essentials Plus
- UK G-Cloud 14
Shared Responsibility Model
Security and compliance is a shared responsibility between AWS and the council:
AWS Manages
- Infrastructure security
- Physical data centers
- Network security
- Hypervisor isolation
- Managed service patching
Council Manages
- Data classification
- Application security
- User access management
- Content accuracy
- Encryption configuration
Security Best Practices Implemented
- Least privilege IAM policies for all roles and users
- Encryption at rest and in transit for all data
- VPC isolation where applicable
- CloudTrail logging enabled for audit trail
- CloudWatch monitoring and alerting configured
- AWS Config for compliance monitoring
- Regular automated security patching for managed services
Data Protection Impact Assessment (DPIA)
Recommendation: Conduct a Data Protection Impact Assessment (DPIA) before production deployment, involving:
- Data Protection Officer (DPO) review
- Privacy impact assessment
- Data flow mapping
- Retention policy definition
- Subject access request procedures
Compliance Frameworks
This solution can support compliance with:
- GDPR: Data protection and privacy controls
- UK Data Protection Act 2018: UK-specific data handling requirements
- Cyber Essentials Plus: UK government security baseline
- PSN (Public Services Network): Government network security standards
- ISO 27001: Information security management system
Evaluation Summary
This section summarizes the key findings from the AWS Innovation Sandbox evaluation.
Evaluation summary will be completed after the technical evaluation.
ROI Projection
Service Area & Primary Metric
- Service Area
- Contact Center
- Primary Metric
- Call volume reduction
Baseline & Projection
Current Baseline
5,000 calls/month, 30% routine inquiries (1,500 calls/month)
1500 routine calls handled per month
Source: LGA Contact Center Survey 2023
With AI Solution
AI chatbot handles 80% of routine inquiries
80%
improvement achieved
ROI Summary
Annual Savings Projection
Payback in 1 month
ROI Calculation
Calculation: 1,200 calls × £5/call × 12 months = £72,000 annual savings
Committee-Ready Summary
"AI chatbot reduces inquiry handling costs by £72,000 annually while improving 24/7 citizen access and freeing staff for complex casework"
Key Assumptions
This projection assumes:
- Baseline data from LGA Contact Center Survey 2023
- Current operational costs remain stable
- AI solution adoption matches projected usage patterns
- Integration completed within estimated timeframes
- Staff redeployed to higher-value activities (no redundancies)
Important: Illustrative projection based on typical UK council contact center operations. Actual savings depend on call volume, handling costs, and adoption rates.
Benefits Beyond Direct Cost Savings
The ROI calculation focuses on direct cost savings, but additional benefits include:
- Resident Satisfaction: Faster service delivery improves user experience
- Staff Morale: Reduction in repetitive work allows focus on meaningful tasks
- Service Expansion: Platform enables additional AI-powered services
- Digital Transformation: Builds organizational cloud capability and modern practices
- Data Insights: Analytics reveal service patterns and improvement opportunities
- Scalability: Can handle demand spikes without proportional cost increases
Next Steps for Business Case
- Validate baseline assumptions with your Finance team
- Adjust projections based on your council's specific volumes and costs
- Conduct sensitivity analysis for different adoption scenarios
- Include implementation risks and mitigation strategies
- Obtain sign-off from Service Manager, Finance Director, and IT
Next Steps
Critical Success Factors
- Leadership Support: Executive sponsorship and budget commitment
- Stakeholder Alignment: IT, Customer Services, Legal, Finance working together
- Change Management: Staff training and resident communication strategy
- Technical Capability: AWS skills development or partner support
- Phased Approach: Pilot before full rollout to manage risk
Decision Gates
| Gate | Criteria | Decision Maker |
|---|---|---|
| Gate 1: Budget Approval | Business case approved, funding secured | Finance Director / Leadership Team |
| Gate 2: Procurement | AWS account procured, contracts signed | Procurement Team |
| Gate 3: DPIA & Security | Data protection and security approval | DPO / CISO |
| Gate 4: Pilot Go-Live | Technical readiness, pilot group identified | Service Manager / CTO |
| Gate 5: Full Rollout | Pilot success, stakeholder approval | Leadership Team |
Resources & Support
- AWS Support: Consider AWS Enterprise Support for production workloads
- AWS Partners: Engage AWS consulting partners for implementation support
- NDX Programme: Leverage NDX Partnership resources and peer council network
- LGA AI Hub: Connect with other councils implementing AI solutions
- Training: AWS training and certification for technical staff
Contact NDX Partnership: For additional support, guidance, or questions about this evaluation, contact the NDX Programme team.
Next Evaluation: Consider evaluating additional AWS scenarios to build broader cloud capability and identify more transformation opportunities.
Success Metrics
Track these KPIs to measure implementation success:
- Adoption Rate: % of queries handled by chatbot vs. human agents
- First Contact Resolution: % of chatbot conversations resolved without escalation
- Resident Satisfaction: User feedback scores and survey results
- Cost Savings: Actual savings vs. projected savings
- Response Time: Average time to resolve resident queries
- Accuracy: % of chatbot responses that are correct and helpful
- Availability: System uptime and reliability metrics