AppMatic Tech engineers AI agents that draft construction RFIs from field context, find relevant drawings and specs, route them for approval, and track responses, built with Node.js and LLM orchestration over governed project-document tools. Teams cut RFI turnaround without losing the paper trail. 330+ products shipped since 2017.
RFIs stall because writing them, finding the relevant spec, and chasing responses is manual. AppMatic Tech builds an agent that drafts and routes RFIs against the project's own documents while keeping every step logged.
AI Agent Development Stack for Construction
| Layer | What AppMatic Tech uses |
|---|---|
| Agent runtime | Node.js orchestration, tool-calling LLM |
| Data access | Drawings, specs, and RFI tools (often via MCP) |
| Drafting | RFI generation from field context |
| Workflow | Routing, approval, and response tracking |
| Audit | Full RFI history and decision log |
How AppMatic Tech Delivers This
- Connect the agent to project drawings, specs, and the RFI system.
- Draft RFIs from field context with relevant references attached.
- Route for approval and track responses to closure.
- Keep a full, auditable RFI history.
- Validate with a project team and deliver with a support SLA.
Proof: Related AppMatic Tech Build
AppMatic Tech's own build making construction project data queryable across systems.
Frequently Asked Questions
- What does an RFI automation agent actually do?
- AppMatic Tech builds agents that draft RFIs from field context, attach the relevant drawings and specs, route them for approval, and track responses, so turnaround shortens while the record stays complete.
- How does the agent find the right drawings and specs?
- AppMatic Tech connects the agent to project-document tools, often an MCP server, so it retrieves the relevant references from the project's own systems rather than guessing.
- Is the RFI trail preserved?
- Yes. AppMatic Tech logs the full RFI history and decisions, so automation does not sacrifice the auditable paper trail construction projects require.
Further reading: AI in Construction: 5 Workflows That Actually Work in 2026