Tier 2
Agentic Workflow Build
What We Build
Production AI Workflows, Deployed and Working
The workflow build is where AI moves from strategy to production. We design, build, test, and deploy agentic AI workflows that integrate with your existing systems, handling up to two concurrent workflows per engagement.
Every build delivers a working production system, not a prototype. Systems are deployed to your infrastructure with monitoring, logging, and rollback capabilities from day one.
RAG Systems
Knowledge bases with vector search, chunking, and retrieval
MCP Integrations
Connect AI agents to your CRMs, databases, and APIs
Agent Orchestration
Multi-agent systems that coordinate complex processes
Scoring Engines
AI-powered scoring and classification at scale
Capabilities
What We Can Build for You
Each workflow is custom-built for your specific use case and integrated with your existing infrastructure. These are the core building blocks we work with.
RAG Knowledge Bases
Document ingestion, vector embeddings, semantic search, and retrieval pipelines. Your AI agents get access to company knowledge with citation tracking.
MCP Tool Connections
Secure integrations with your existing tools via Model Context Protocol. CRMs, ERPs, databases, email, and custom APIs, all accessible to your AI agents.
Multi-Agent Systems
Coordinated agent workflows where specialized AI workers handle research, analysis, drafting, and execution. Each system includes handoffs, routing, and error recovery.
Scoring Engines
AI-powered classification and scoring systems that process large datasets. Lead scoring, risk assessment, document classification, and prioritization at scale.
Document Processing
Automated extraction, classification, and routing of documents. Contracts, invoices, reports, and correspondence processed by AI agents with human-in-the-loop review.
Automated Reporting
AI-generated reports, summaries, and analyses on a schedule or trigger. Portfolio reports, market updates, compliance summaries, and executive briefings.
Process
How We Build
Every build follows a structured process: scope, design, build, test, deploy. We work in focused sprints with regular demos so you see progress at every stage.
Most workflow builds complete in 4-8 weeks depending on complexity. We handle up to two concurrent workflows per engagement.
Discuss Your Project1. Scope & Design
Define the workflow, data sources, integration points, and success criteria. Produce a technical design document.
2. Build & Integrate
Build the agent system, RAG pipeline, and MCP connections. Integrate with your existing tools and data.
3. Test & Validate
Rigorous testing against real data and edge cases. Eval suites, accuracy benchmarks, and user acceptance testing.
4. Deploy & Monitor
Production deployment with monitoring, logging, alerting, and rollback capabilities. Team training and documentation.
Ready to Build?
Tell us about the workflows you want to automate. We'll scope the build and show you what's possible with production agentic AI.