Overview
Horizon Digital runs a fixed-fee two-week AI Strategy and Readiness Assessment on Amazon Bedrock. We move you from "we should do something with GenAI" to a prioritised use-case shortlist with a written go or no-go recommendation for production. Every input is grounded in your real data, your real cost envelope, and your real regulatory posture.
Week 1 - Discovery: We interview business and technical stakeholders, inventory existing data sources, capture the regulatory and security constraints (Australian Privacy Principles, APRA, IRAP), and shortlist 5-10 candidate AI use cases. We benchmark each candidate against a five-dimensional framework: business impact, data readiness, regulatory risk, cost, and time-to-value.
Week 2 - Assessment: We map each shortlisted use case onto Amazon Bedrock - model selection (Anthropic Claude, Amazon Titan, Cohere, AI21, Meta), inference architecture, RAG vs fine-tuning, observability strategy with Arize Phoenix, and production cost envelope. We deliver a written readiness scorecard, a go or no-go recommendation per use case, and a 90-day roadmap if production is approved.
Who this is for:
- Standard tier - 2-week assessment: Up to 3 candidate use cases, single business unit, single data domain. Best for mid-market teams validating their first GenAI initiative.
- Extended tier - 4-week assessment: Up to 10 candidate use cases, multiple business units, multiple data domains, SSO and access design, deeper regulatory analysis. Best for enterprise organisations with multiple competing AI bets.
Why Horizon Digital:
- AWS AI Services Competency partner with delivery experience on Amazon Bedrock using Anthropic Claude foundation models.
- Arize Phoenix observability built into every recommendation - we will not propose a use case we cannot measure.
- Australian-based delivery team experienced across regulated industries (mining, energy, government, financial services).
Related AWS services: Amazon Bedrock, Anthropic Claude on Bedrock, Amazon Titan, Amazon SageMaker, AWS IAM, AWS Lambda, Amazon S3, Amazon OpenSearch, AWS Cost Explorer.
Highlights
- Prioritised AI use-case shortlist in two weeks: business impact, data readiness, regulatory risk, cost, time-to-value - scored on one page.
- Bedrock fit map per use case: model selection, RAG vs fine-tuning, observability with Arize Phoenix, written cost envelope.
- Written go or no-go recommendation and 90-day production roadmap, so the next decision and budget are already framed.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Vendor support
For support, contact support@horizondigital.au .
Support hours: Monday to Friday, 09:00-17:00 AEST/AEDT.
Escalation: Horizon Digital routes inbound support requests internally to the engagement's delivery lead and account manager. Standard response time: 4 business hours.