01
Model & component selection
Compare candidate approaches against task quality, deployment constraints, licensing, and operating cost.
Open & mixed ecosystems practice
Combine suitable models, open-source components, and enterprise applications around one coherent solution architecture.
What we bring together
01
Compare candidate approaches against task quality, deployment constraints, licensing, and operating cost.
02
Use appropriate APIs and open protocols to connect tools, context, and application capabilities.
03
Define version compatibility, evaluation, upgrades, support, and replacement responsibilities.
Illustrative application
A knowledge workflow uses one model service, customer-managed retrieval, and existing CRM and service applications. The design keeps interfaces and acceptance explicit so a component change can be assessed without assuming the whole solution is interchangeable.
AI engineering is connected to data, platform, security, integration, and adoption responsibilities in the same delivery plan.
See how the disciplines fit together ↗Architecture & acceptance
Platform reference: Prism MCP Rust SDK ↗
Open components, one architecture.
From architecture to operation
A component decision record, interface contracts, integrated evaluation, and an explicit operating and dependency model.
PrismWorks leads the solution architecture, coordinates specialist affiliate contributions, and owns the integrated delivery against agreed acceptance measures.
We confirm the necessary specialists, customer responsibilities, access, milestones, and support in the engagement scope. Your business owner accepts the outcome; your operating team receives the agreed assets and training.
Your next step
Discuss the workflow, the platform environment, and the specialist capabilities your team needs.