Taking on Bidding Takeoff Orders with Togal.AI: Bill of Quantities Ready Overnight, $5,000/Month
Workflow: Receive PDF or CAD drawings uploaded by small and medium subcontractors every morning, trigger AI auto-highlighting and
Key Fields
FIELD STAMPS🔧 Workflow
Receive PDF or CAD drawings uploaded by small and medium subcontractors every morning, trigger AI auto-highlighting and takeoffs using the Togal Button, and then use Togal.CHAT to review quantities for errors and omissions. After manual fine-tuning, export the Excel Bill of Quantities (BoQ). Deliver the BoQ draft the night before the bidding deadline and charge clients on a per-project basis. The input is drawing file sets sent by clients, and the output is a ready-to-bid BoQ along with highlighted comparisons of drawing revision changes. Cloud-based collaboration allows multiple people to process work simultaneously throughout the entire workflow.
🛠 Setup Requirements
Requires basic blueprint reading and cost estimation knowledge, no programming needed. Subscribe to Togal.AI Growth, use a standard computer, spend about one to two weeks familiarizing yourself with the highlighting, review, and export processes, and start by taking on one or two small orders in subcontractor communities for practice. The learning curve is concentrated in the drawing pre-check and CHAT review stages; the rest of the operations are close to click-based automation, allowing you to start working without a team.
🧰 Toolchain
- 🔧 Togal.AI (Growth plan, $299/user/month)
- 🔧 Excel (Bill of Quantities organization and formatted export)
- 🔧 Zoom or Email (Client communication and delivery confirmation)
- 🔧 Dropbox or Google Drive (Sending/receiving large drawing files and version management)
💰 Revenue
① Regular takeoff project service fees (Primary revenue): Contractors pay per order at a unit price of $500 to $2,000. Doing 5 to 8 orders per month yields about $3,000 to $8,000. Once proficient full-time, monthly revenue can exceed $5,000. (Merchant's public claim, independent verification unavailable, data as of 2026); ② Bidding season batch takeoffs: Contractors pile up orders during bidding season, doubling order volume while unit prices remain at $500 to $2,000. Additional revenue figures are unspecified (merchant's claim, unverified), and percentage share is blank; ③ Rush order hourly surcharge: Rush clients pay extra per job/quantity, with no public data on unit price or volume, and its percentage of total revenue is unlisted; ④ Opportunity item — Subcontractor annual takeoff subscription: Shifting to a monthly subscription model for fixed subcontractor takeoff work. Revenue potential and percentage share are yet to be determined.
💸 Cost
Togal.AI Growth subscription is $299/user/month (billed annually). Low-frequency users can choose a lower-tier plan at approx. $1,999/year, capped at 5 AI takeoffs per month. Remaining fixed costs are near zero, with primary expenses being subscription fees and office software like email and cloud storage. Software cost per order is very low.
⏱ Time Investment
3 to 6 hours invested per project, typically 2 to 4 hours daily, with a sprint required the night before bidding deadlines. Once takeoffs are handed over to AI, human time is mainly spent on review, patching omissions, and communication/confirmation. Time spent per project can be cut by 80% compared to purely manual work, and the extra time can be used to take on more bids.
🚀 Getting Started
Step 1: Individuals with an estimation or construction background register for a Togal.AI trial, run AI takeoffs on old drawings on hand, and verify accuracy against manual results. Afterward, establish a service brand in local subcontractor communities or contractor circles offering 'BoQ ready the night before the bid', taking on the first order at a low price to build a portfolio. After gathering 3 successful case studies, raise prices to market rate, solidify the workflow with standard order forms and delivery templates, and make the marginal cost of subsequent orders decrease.
🔑 Keys to Success
- ✅ Construction blueprint reading and estimation experience serves as the trust threshold for accepting orders
- ✅ Bidding season node marketing, targeting small and medium subcontractors overwhelmed by takeoffs
- ✅ Manual review as a safety net; acting as the judge even beyond the 98% accuracy rate
- ✅ Standardized delivery templates and QA checklists to turn single orders into compounding service products
⚠️ 风险
- ⚠️ Fixed subscription costs lead to low ROI during low-frequency order periods, and the low-tier plan capped at 5 orders/month can easily be insufficient
- ⚠️ Errors in takeoffs may lead to client bidding losses and claims, requiring contract disclaimers and review processes
- ⚠️ Intensified competition in the AI cost-estimation tool track in 2026 (with top players like 1build and Procore entering), squeezing average order values and differentiation for freelancers, requiring reliance on industry connections and localized service to hold ground
📌 Real Cases
- 📌 Coastal Construction (Large general contractor, project scale $185M to $215M, 8 estimators in Miami): Saved approx. $1M and 13,920 work hours in the first year, reducing preconstruction time from 50% to 10%
- 📌 Coastal Construction further estimated savings of approx. $3.2M in 2025, with continuous revenue growth, confirming the compounding value of AI takeoffs on repeat orders
- 📌 A flooring subcontractor used Togal.AI to complete all takeoffs for a 30-story high-rise within 48 hours and successfully won the bid; another contractor increased their bidding volume by 215% after adoption, demonstrating that expanding bidding capacity directly translates to more orders