Modernization, insight, and remediation
Organizations that bolt AI onto one process at a time end up with siloed intelligence that never compounds. ADAM Foundational Solutions make intelligence a shared layer, where capabilities interoperate, compound, and work as one system rather than a collection of disconnected projects.
Foundational Solutions span three agentic domains: AI for Engineering across a 7-stage SDLC with up to 90% migration acceleration, AI for Decisioning across a 10-step lifecycle delivering up to 90% faster insight, and AI for Operations across a 7-stage closed loop cutting manual triage up to 95%.
Modular components that snap together based on enterprise needs, not rigid stacks.
Built on agent-to-agent protocol, MCP, and standard APIs for cross-platform orchestration.
Every solution inherits AI Control Tower governance across data, model, and agent.
One reference architecture tuned to AWS, Azure, and GCP without rebuilds.
Foundational Solutions are horizontal building blocks that embed intelligence across engineering, decisioning, and operations. Business Solutions are domain-specific, packaged for industries like banking, insurance, healthcare, and retail. Foundational capabilities power the business ones.
Yes. AI for Engineering, Decisioning, and Operations can each be deployed on their own or together. Because they share protocols and governance, adopting one makes adopting the next faster and lower-risk.
Industry and business solutions are assembled from foundational building blocks. A banking claims workflow, for example, draws on decisioning and operations capabilities, inheriting the same interoperability and Control Tower governance underneath.
No. They augment current toolchains through MCP-compatible integrations, layering agentic intelligence on top of existing investments rather than forcing rip-and-replace across your stack.
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