Take photos on-site. AI extracts findings, builds your scope, and prices the job. By the time you're back in the truck, your proposal is ready.
Every CRM shows you a pipeline. We built something fundamentally different.
Take photos on the roof. AI extracts findings — damage, measurements, conditions. Scope lines populate automatically. Price it, send it, close it.
Every job teaches the system. Regional pricing patterns, scope approval rates, material performance. Your 100th estimate is dramatically smarter than your first.
AI suggests scope lines, flags missing items, recommends pricing. You approve every decision. Every record is immutable. Your authority, amplified.
Lead capture to final payment. Inspection to invoice. No exporting between tools, no copy-paste between apps. One execution record, end to end.
Not a chatbot. Not a gimmick. AI is woven into every step of your workflow — doing the tedious work so you can focus on closing jobs and running your business.
Walk the property, snap photos, and talk through what you see. AI identifies damage types, classifies conditions, and creates structured findings — no clipboard, no data entry, no sitting in the truck for 45 minutes typing notes.
Findings automatically map to scope lines with quantities, units, and trade-standard descriptions. AI flags missing items based on what it learned from your last 50 jobs. What used to take an hour takes minutes.
AI drafts supplement arguments with measurement evidence, code references, and carrier-specific language. Your team reviews and sends — turning what was a 2-hour task into a 10-minute review.
AI watches your pipeline velocity, close rates, and margin trends. It tells you which jobs need attention, which reps are struggling, and where your business is leaving revenue behind — before you'd notice yourself.
One platform. Every trade. Roofing and restoration have the deepest tooling today — but every contractor runs the same playbook.
Insurance restoration workflows, supplement tracking, measurement-driven templates, and carrier-specific scope building.
Multi-surface measurement integration, material takeoff from findings, and elevation-based scope compilation.
Every job completed feeds the intelligence engine. Decision Built learns your pricing, your market, your patterns — and makes every future estimate better.
Know what jobs actually cost in your market — not national averages.
Learn which scope lines get approved, which get cut, and why.
Track which products last, which suppliers deliver, and what margins hold.
Decision Built ships with a full MCP server — 17 tools, 8 resources, 3 prompts. Connect Claude Desktop, custom AI agents, or any MCP-compatible tool directly to your real execution data.
{ "mcpServers": { "decision-built": { "command": "npx", "args": ["@decision-built/mcp-server"], "env": { "DB_API_KEY": "db_live_..." } } }}Create contacts, query pipeline stages, move jobs through your workflow.
Access inspection data, normalized facts, scope lines, and AI-suggested supplements.
Calculate template-based pricing, search supplier catalogs, query regional learning data.
Decision Built exposes your execution data — contacts, findings, scope lines, pricing — through a structured API. Use it with Claude Desktop to ask questions about your jobs, generate reports, or build custom workflows. Your data stays yours. AI tools just get permission to read it.
AI is advisory only. It cannot create, modify, or approve financial artifacts. Your authority is absolute.
Append-only execution records. Every decision, every revision, every approval — permanently recorded.
Trade-agnostic architecture with trade-specific intelligence. One system that adapts to how you work.
Row-level security. Organization isolation. Your data never crosses boundaries.
We're selecting a small group of contractors to shape Decision Built. Beta partners get 50% off any tier — Starter, Growth, or Scale — for the first 3 months. In return, you help us build the system contractors actually need.
Beta partners get half-price access on any tier — Starter, Growth, or Scale — for the first three months.
Direct input into features, workflows, and trade-specific tooling.
Your data trains the intelligence engine first. A head start that compounds.