DeskForeman exists because the contractors who do the best work are the ones who are too busy building to answer the phone. We think that's a problem worth solving.
A homeowner texts a deck builder at 2pm on a Tuesday. That builder is 12 feet up on a joist, drill in hand. By the time he replies, maybe that evening, maybe the next morning, the homeowner has already texted three other contractors. The job goes to whoever answers first, not whoever builds best.
This happens millions of times a year across the US. 40% of homeowners won't hire a contractor who missed their first call. Not the most expensive. Not the least experienced. The one who didn't pick up.
"The people who build our homes are drowning in the same admin work that enterprise software solved decades ago. But nobody built it for a guy with a truck and a phone."
Every "solution" out there asks contractors to learn another dashboard, manage another app, check another inbox. But these are people who run their business from a phone between job sites. They don't need more software. They need a teammate.
We looked at what's already out there. AI receptionists that answer the phone but can't tell you if a lead is worth $50,000 or $5,000. Contractor CRMs with 30-40% adoption rates because they demand behavior change. Chatbots that follow scripts but can't generate a $38,000-$52,000 estimate from composite deck base rates and Colorado labor multipliers. Nothing handled the full job.
And until recently, nothing could. What makes DeskForeman possible isn't just AI that can talk — it's AI that can act. DeskForeman's agents don't just generate responses. They extract facts, render concise drafts, and hand decisions to deterministic workflow rules that create auditable actions. That capability — deterministic workflows with LLMs kept inside bounded interpretation and drafting jobs — didn't exist before 2024. The contractor's problem is decades old. The technology to actually solve it just arrived.
Not a chatbot. Not a dashboard. An AI Front Office who handles the customer front office through the channel contractors already live in: text.
From first text to builder-approved next step: qualification, estimate prep, scheduling requests, and builder handoff. Not just the front door.
DeskForeman starts strict and earns trust through your approval patterns. You control the pace — it proves itself over time.
SMS-native. Operator dashboard available; builder SMS stays primary. The builder manages DeskForeman from the same phone they run their business on.
Most AI products for contractors are chatbots strapped to a website, or dashboards that add more work instead of removing it. DeskForeman takes a fundamentally different approach.
Qualification, estimation, scheduling, proposals, contracts. AI receptionists and chatbots stop at the front door. DeskForeman keeps qualified opportunities moving.
Daily pipeline insights, stale lead nudges, conversion coaching. DeskForeman doesn't wait to be asked — it keeps your pipeline moving.
Every customer-facing response is reviewed for compliance and tone before sending. DeskForeman doesn't go rogue.
Sheets, CRM, accounting, and calendar-ready handoffs. Each connection makes DeskForeman more valuable without increasing the price.
DeskForeman understands materials, sizing, and trade language. Not scripts. It talks to customers like someone who knows the work.
watched pilot access is limited, hands-on, and approval-gated. Every feature, every pilot workflow — included.
Every estimate draft starts with a formula: per-unit industry rates, adjusted for region, material, site conditions, and approved builder assumptions. Customer-visible price claims stay gated for builder approval.
DeskForeman monitors every conversation for frustration and escalation signals. If a customer is unhappy or asks for a human, you get an immediate SMS with context. Problems surface before they become reviews.
The result: from first customer text to approved handoff, the builder's total involvement is a site visit and a few text messages. DeskForeman handles everything else.
Founder
Before building DeskForeman, I spent over a decade at Gartner and Microsoft evaluating AI and automation platforms for enterprise buyers. I've seen hundreds of vendors pitch "AI-powered" products — and I've seen which architectural patterns actually deliver and which ones quietly fail at scale.
That background shaped every decision in DeskForeman. Why DeskForeman uses a deterministic state machine instead of letting the LLM decide what happens next — because I've watched AI systems fail when they control their own routing. Why estimates are formula-anchored before the model ever touches them — because I've seen what happens when you let AI hallucinate prices. Why there's a QA gate on every outbound message — because I've evaluated enough AI deployments to know that the ones without guardrails are the ones that get turned off.
DeskForeman's deterministic workflow architecture isn't a novelty — it's the same separation-of-concerns pattern that works at enterprise scale, rebuilt for a contractor who runs his business from a phone. The AI-native development tools that power DeskForeman also power how the product itself is built, letting a single founder move at the pace of a full engineering team.
Watch the full front-office handoff journey, or try DeskForeman right now to experience it yourself.