MyAibo connects LLM capability to the legacy systems and databases where your business data actually lives — middleware, API layers, and transformation pipelines, without migrating your existing infrastructure.
MyAibo's ASI practice connects LLMs to Salesforce, HubSpot, SAP, Oracle, Dynamics, and legacy databases via REST/GraphQL middleware, CDC pipelines, and MCP servers — solving the freshness, permission, and rate-limiting issues that stall enterprise AI POCs.
The gap between demo and production is an integration problem, not an AI problem — legacy auth, opaque data models, and missing audit trails are solved integration challenges, not reasons to wait.
We integrate Salesforce, HubSpot, Dynamics, SAP, and Oracle with OAuth management, rate-limit handling, data transformation, and bidirectional sync.
Enables AI assistants with full interaction history and executive dashboards with live narrative generation.
We build JDBC/ODBC connectors, Airflow/dbt ETL, Debezium CDC, and semantic caching for high-frequency calls.
Gets AI applications access to legacy data in weeks, not the years a full modernization would take.
We build MCP servers exposing CRM, ERP, and document tools with authentication, permission scoping, and audit logging, connected to Claude, OpenAI Assistants, or custom agents.
Positions you for agentic workflows 12–24 months out, when agents need to navigate enterprise systems autonomously.
Inventory systems and design the integration and permission architecture.
Build connectors, transformation layers, and auth/rate-limit infrastructure.
Connect the application, test end-to-end, and benchmark performance.
Deploy with monitoring and run quarterly integration health audits.