Fixed-scope delivery of citation-grounded internal copilots, AI usage and cost guardrails, and GitHub/Azure DevOps pull-request review workflows—senior-led and production-ready.
Trusted for secure AI engineering in: Regulated Insurtech • Enterprise Knowledge Search • Azure Cloud Operations • Compliant Financial Systems
Full-stack and cloud engineering across .NET, Azure, and Python systems.
Enterprise RAG with FastAPI, PostgreSQL/pgvector, LangChain/LangGraph, MCP, and DevOps pipelines.
Portfolio projects based on deployed internal copilots and engineering workflow tools.
All implementation is done by senior engineers, never delegated offshore.
How we compare to generic digital agencies and AI consulting shops.
Fixed-scope, senior-delivered engagements with clear timelines, concrete deliverables, and no open-ended consulting bloat.
Deploy a secure, grounded internal knowledge copilot connected directly to your company knowledge base with traceable source citations.
Audit, secure, and harden internal AI tools with enterprise-grade controls for privacy, compliance, access boundaries, budget, and rate-limit guardrails.
Reduce engineering review latency with PR classification, review assistance, and human-in-the-loop approval gates in GitHub and Azure DevOps.
A production path from Microsoft content stores to citation-backed answers.
We work with mid-market teams that need better internal search, safer AI rollout, and less engineering workflow drag.
Your key files are scattered across SharePoint, Confluence, and team channels, making answers slow to find.
You want to deploy LLM-based tools without exposing private data, runaway costs, or unreliable outputs.
Senior engineers lose time to repetitive code review, triage work, and manual handoffs across delivery workflows.
We build production-ready systems, not hypothetical prototypes. Here is a look at recent work.
Documentation sprawl across SharePoint, Confluence, and internal repositories slowed engineering lookups. We built a production FastAPI and PostgreSQL/pgvector RAG pipeline with hybrid search, Reciprocal Rank Fusion, and strict source citations. Lookup times dropped 75% with verified inline citations.
Complex development workflows suffered from context loss, high latency, and repetitive manual review across distributed codebases. We engineered a custom PR classification and review-assist pipeline with human-in-the-loop approval gates—keeping senior engineers in the execution loop on Azure DevOps and GitHub.
How we work with you to move from data constraints to secure, production-ready AI systems.
A 30-minute session to map your internal data sources and detail security and budget requirements.
We design the technical architecture, model selection, proxy gates, and fixed timeline scoping.
Senior engineers build and test custom ingestion pipelines and core retrieval infrastructure.
We deploy cost caching, prompt-injection defenses, and hand over clean source code and tests.
"EventArgs cut through the noise. Instead of slides and vague promises, they built a fully grounded RAG pilot connected to our SharePoint library in 4 weeks, with strict access controls and citation guardrails."
You work 100% directly with senior engineers who code your systems, preventing communications gaps and slow response rates.
We enforce strict retrieval distance ceilings and map page-level citations for every single answer output by the system.
We build inside your approved deployment boundary with JWT/RBAC-style access controls. Your embeddings, documents, and chat history stay under your security rules.
EventArgs LLC works with engineering directors, IT leads, and innovation teams at mid-market and enterprise organizations that run on Microsoft 365 and Azure. Our three core capabilities — internal AI copilots for Microsoft 365, source-grounded RAG for enterprise knowledge, and AI governance for enterprise deployments — are each designed for teams that need production-grade delivery, not pilot-stage experiments that stall.
If your developers are losing hours to documentation sprawl, your engineering pipeline bogs down in manual PR reviews, or your organization is rolling out AI tools without proper guardrails and access controls, we scope and execute a fixed engagement to solve the specific problem — with measurable results, handoff notes, and zero junior hand-offs.
We are especially effective for teams working in regulated or compliance-sensitive industries where engineering workflow automation with AI review loops, strict tenant isolation, and source-citation enforcement are baseline requirements rather than nice-to-haves.
Talk through constraints, data boundaries, and pilot fit with a senior engineer.
Schedule a technical feasibility call