Sonata Software

sonata-software.com

Sonata is a technology services provider rather than solely a software vendor or research business. Its offerings span architecture assessment, implementation and ongoing operations, although responsibility varies by service. Buyers can engage it for discrete migrations or application projects, enterprise platform modernization and AI integration. Proprietary frameworks such as Harmoni.AI and AgentBridge support documented delivery services; their presence does not establish licensing terms or operational commitments. Procurement should distinguish consulting, implementation, framework dependencies and continuing support. ^[1] ^[2] ^[3] ^[4]

Services and delivery

Technology architecture and modernization assessment

Advisory. Assesses application landscapes, architecture and deployment models through Platformation maturity assessments. This is advisory work supporting modernization decisions, not evidence that implementation is included. ^[1]

Enterprise AI architecture advisory

Advisory. Produces architecture and integration-design documents for enterprise AI foundations in a Microsoft Azure AI context, defining how enterprise systems, retrieval components and LLM integrations connect. ^[5]

Enterprise RAG and AI foundation implementation

Implementation. Builds domain-specific retrieval-augmented generation pipelines, integrations and LLM connectors. Deliverables include responsible-AI guardrails, PII masking, content moderation, auditability, usage monitoring and knowledge transfer. ^[5]

Agentic AI workflow implementation

Implementation. Designs, develops and deploys customized AI workflows using AgentBridge. Scope includes enterprise APIs and connectors, multi-agent orchestration, governance and monitoring, with deployment environments including AWS, Azure and Google Cloud. ^[4]

Generative-AI integration and LLM deployment

Implementation. Integrates enterprise data with generative-AI systems and provides LLM validation, fine-tuning and deployment. Harmoni.AI supplies governance features and accelerators; telemetry and consumption reporting are included in the described offering. ^[3]

Hosted enterprise AI platform

Managed services. A clinical-technology case documents a hosted and managed AI platform centralizing orchestration, validation, responsible-AI controls, data security and cost management. Availability and operating terms for another customer require confirmation. ^[6]

Cloud strategy and migration planning

Advisory. Provides discovery, dependency assessment, cloud selection, target architecture and migration planning. Advisory work helps determine whether applications should migrate or undergo modernization. ^[2]

Cloud migration implementation

Implementation. Builds target environments and performs pilot migrations, application and data migration, testing, cutover and decommissioning. The service identifies AWS, Azure and GCP as supported cloud environments. ^[2]

Managed cloud operations

Managed services. Operates cloud computing, storage and virtual networks and provides post-migration optimization. Contractual support coverage and operating responsibilities need to be specified for each engagement. ^[2]

Dynamics 365 migration advisory

Advisory. Assesses existing systems and Dynamics 365 requirements, then develops modernization roadmaps and upgrade strategies before implementation. ^[7]

Dynamics 365 upgrades and rollout

Implementation. Implements upgrades, standardized templates, pilot go-lives, validation and global rollouts for Dynamics 365 migration programs. ^[7]

Dynamics application support

Managed services. Provides proactive monitoring, maintenance, performance optimization and change management for Dynamics environments, alongside product support. ^[8]

Power Platform and low-code modernization

Implementation. Modernizes low-code applications and migrates legacy RPA processes to Microsoft Power Platform. ^[8]

Data-platform architecture advisory

Advisory. Advises on data-platform architecture for cloud data environments, providing a design basis for subsequent platform construction. ^[9]

Cloud data platforms and analytics implementation

Implementation. Builds cloud data lakes, warehouses and big-data infrastructure, together with analytics and information-management solutions. This data-engineering scope is distinct from the separately evidenced AI services. ^[9]

Cloud-native software and platform engineering

Implementation. Develops and maintains cloud-native applications and services for enterprises, ISVs and platform businesses. Scope includes API-platform engineering and microservices development. ^[10]

Cybersecurity assessment and roadmap

Advisory. Assesses security posture using NIST-oriented assessments, vulnerability assessment and penetration testing, with prioritized remediation roadmaps. ^[11]

Security-control implementation

Implementation. Designs and implements identity and access management, SIEM and data-security controls. ^[11]

Managed security monitoring and response

Managed services. Provides continuous security monitoring, detection and response. Buyers should establish coverage, escalation procedures and incident ownership in the contract. ^[11]

Company details

Technology and platforms

The documented platform scope includes AWS, Azure and GCP for cloud transformation, Microsoft Dynamics 365 for ERP modernization, and Power Platform for low-code work. These are service-specific platform references, not evidence that every engagement supports every platform. ^[2] ^[7] ^[8]

Engagement and delivery

The Camp Australia case describes phased Scrum-team and development-pod delivery, combining AI strategy and a centre of excellence with implementation and Copilot training. Its email automation used Azure AI Services, Outlook connectors, Logic Apps and Confluence, with human review where needed. This is evidence of one engagement model, not a universal staffing commitment. ^[12]

Track record

For Camp Australia, Sonata reports implementing email classification, generated responses, escalation summaries and integration with the customer’s OCW platform. It reports response times moving from approximately 24 hours to minutes and a 40% reduction in manual workload. ^[12]

For an unnamed travel enterprise, Sonata reports implementing a RAG-based agent-assistance solution with context filtering, authentication, personal-information sanitation and content moderation. Reported outcomes include a 50–60% reduction in average handling time and 20–25% of enquiries handled directly by the system. ^[13]

An unnamed mortgage lender case documents an upgrade from .NET 4.x to .NET 8.0, including refactoring 36 projects, removing deprecated dependencies and introducing modular architecture. Amazon Q and GitHub Copilot were development tools in this case; their use does not establish delivery of a customer-facing AI system. ^[14]

Scope and limitations

The supplied evidence does not establish pricing, minimum engagement size, delivery-location commitments or contractual SLAs.
The hosted AI-platform case does not disclose the customer, technical stack or operational SLA. Its scope should not be generalized to every AI engagement.
Framework features and LLMOps descriptions do not by themselves establish support hours, incident ownership or a fully managed operating contract.
Customer outcomes are Sonata-reported case results, not independently verified benchmarks or forecasts for other buyers.
The supplied short excerpts do not capture every service detail summarized in the research notes; procurement should validate detailed deliverables against the proposed statement of work.

Questions to ask

Which deliverables are advisory, implementation, framework licensing and ongoing operations, and who owns each workstream?
Can Sonata provide references matching our industry, platform and migration or AI scope?
What acceptance criteria will govern RAG accuracy, AI safety, escalation and human review?
Who owns connectors, prompts, configurations and custom code, and how portable are they outside Sonata’s frameworks?
Who handles model changes, monitoring, incident response, cloud consumption and production support, under which SLAs?
What delivery locations, staffing commitments, platform constraints and handover arrangements will be contractual?

Overview