-70% Search Time, +60% Workflow Speed, 500+ Daily Queries at 94% Accuracy
US Mid-Market Professional Services Firm (80+ Employees)
“CoreliaOS changed how our entire firm operates. Instead of searching through folders and email chains, our team just asks a question and gets the answer with source documents attached. The multi-agent system is the real differentiator — it doesn't just search, it actually coordinates work across departments automatically.”
— COO, US Professional Services Firm
The Background
A US-based mid-market professional services firm with 80+ employees across legal, finance, HR, and operations departments. The firm manages thousands of documents, emails, and internal knowledge assets across disconnected tools — Google Workspace, local drives, and department-specific platforms.
| Team Size | 80+ employees across 5 departments |
|---|---|
| Volume | 50,000+ documents, 200+ daily emails processed |
| Engagement | Fixed-cost platform build + monthly retainer |
| Platform Access | Web-based — live demo available on request |
The Challenge
Knowledge was trapped in silos. Employees spent an average of 1.8 hours/day searching for information across email, shared drives, and internal wikis:
- Legal team couldn’t quickly retrieve contract clauses or compliance precedents — relied on manual folder searches.
- Finance team duplicated work because they couldn’t find existing analyses buried in email threads.
- Cross-department workflows (e.g., new client onboarding) required 5–7 manual handoffs with no orchestration.
- Institutional knowledge walked out the door every time a senior employee left.
- Management had no visibility into operational bottlenecks or workflow inefficiencies.
Our Approach & Technical Decisions
Foreignerds designed CoreliaOS — a multi-agent AI automation platform that unifies enterprise knowledge, automates cross-functional workflows, and provides domain-specific AI agents for each department.
- LangChain + LangGraph for multi-agent orchestration — chosen over single-agent architectures because the client’s workflows require coordinated action across Legal, Finance, HR, and Operations agents that must collaborate on complex tasks.
- QdrantDB for vector search — selected for its performance on large document corpora (50K+ docs) and native support for metadata filtering, enabling department-scoped searches.
- OpenAI for reasoning and generation — powers natural language querying, document summarization, and contextual recommendations across all agents.
- Django + Redis + Celery backend — handles async task processing, agent coordination, and high-throughput document processing without blocking user interactions.
- Gmail + Google Drive integration — syncs email and file data into the centralized knowledge base automatically, eliminating manual uploads.
Implementation Timeline
Technology Stack
Measurable Results
- Information search time reduced by 70% — from 1.8 hours/day to under 30 minutes through conversational retrieval.
- Cross-functional workflow execution accelerated by 60% via multi-agent coordination replacing manual handoffs.
- Employee productivity improved by 50% by automating repetitive document analysis and administrative tasks.
- Manual information gathering effort reduced by 65% through intelligent knowledge processing.
- New employee onboarding time reduced from 3 weeks to 1 week using the AI knowledge assistant.
- The platform handles 500+ daily queries across departments with 94% answer accuracy.
Post-Launch & Ongoing Engagement
The client signed a $5,000/month retainer for agent optimization, knowledge base maintenance, new department onboarding, and quarterly performance reviews. They are planning Phase 2 to add a Recruitment agent and a Client Relationship agent.