Production-ready AI agents, agentic AI, LLM integration and AI automation for companies and mid-market teams — from use case and architecture to governance, integration and operations. General Informatics covers analysis, target architecture, implementation, integration, quality assurance and production-oriented operations from one accountable partner.
Goals, current systems, data, dependencies, risks and measurable quality criteria are documented.
Interfaces, components, security boundaries, data flows and migration steps are defined.
Delivery proceeds in verifiable increments with automated tests and traceable changes.
Monitoring, backups, alerts, runbooks and defined rollback paths protect long-term operation.
The names indicate related in-house product or project work. Customer details are published only with explicit approval.
GI combines AI consulting, AI engineering and software product delivery in one path. We build custom AI agents and automation so quality, permissions, cost, data flows, auditability and continuous evolution remain manageable in production.
Agents are tested against real failure modes, tool calls, timeouts and data quality — not only the happy path.
MCP, A2A and OpenAPI connect agents to existing systems while reducing unnecessary vendor lock-in.
Sources, retrieval, reranking and context are explicitly designed so answers stay more traceable and maintainable.
Quality, hallucinations, cost, latency and agent actions are measured with reproducible evals and monitoring.
High-stakes actions get approvals, permissions, audit trails and rollback paths instead of uncontrolled autonomy.
APIs, legacy systems, databases, events, roles and deployment are planned as part of the AI solution, including post-launch operations.
Describe the current system, target, required interfaces and current blockers. General Informatics turns this into a technical first assessment with sensible phases, risks and next steps.
