AI Transform LLC
AI-Powered Sales Estimation Suite for Construction & Contracting Teams
Venkat Veswanath
CEO, AI Transform LLC
“The AI sales enablement solution has transformed our sales process. We've seen a 40% increase in qualified leads and a 25% reduction in sales cycle time. Our reps walk into every meeting prepared, with accurate numbers they can stand behind.”
Measurable Outcomes
that drive ROI.
~85%
Prep Time Saved
12
Sales Reps Enabled
99%+
Quote Accuracy
< 3 wks
Time to Value
By integrating our computation layer, AI Transform LLC transformed from a services-heavy model to a scalable, automated platform.
Client Overview
About AI Transform LLC
AI Transform LLC is a US-based company delivering AI-powered business solutions to mid-market clients across construction, contracting, and enterprise verticals. Led by CEO Venkat Veswanath, the company employs a distributed sales team that handles client-facing engagements ranging from small renovation bids to multi-million dollar project estimates.
Industry
Construction & Contracting
Client
Venkat Veswanath, CEO — AI Transform LLC
Team Size
12 sales agents (field + remote)
Engagement Type
Internal Sales Tooling — Build & Integration
The Problem
The Challenge
Before Dojo Labs, AI Transform LLC's sales process relied entirely on manual, experience-based estimation. When a sales rep visited a construction or contracting site, they had to:
Manually reference scattered internal pricing documents and spreadsheets
Cross-check material costs, labor estimates, and project scope on the fly
Prepare meeting briefs and client proposals back at the office — often hours after the visit
Rely on tribal knowledge that was inconsistent across the 12-person team
The Core Problem
Standard LLMs cannot reliably calculate material costs, generate accurate estimate ranges, or apply pricing logic — they predict what estimates look like rather than computing them. AI Transform needed a system where numbers were computed from verified internal pricing data.
What We Built
Our Solution
Dojo Labs designed and built an internal AI-powered sales estimation suite — three interconnected tools that work together to take a sales rep from site visit to polished client proposal in under 20 minutes.
Tool 1: Site Estimation Engine
Sales reps input site details — project type, square footage, material category, location, and scope complexity — and the system returns structured estimate ranges with low, mid, and high breakpoints.
Input: Site dimensions, project type, material categories, labor scope
Processing: Claude API parses intent → computation layer queries internal pricing DB
Output: Low / Mid / High estimate breakdown with line-item justification
Tool 2: Meeting Preparation Assistant
Before walking into a client meeting, reps get context — project background, comparable past jobs, talking points, and objection prep — all generated automatically.
Generates structured meeting briefs in under 2 minutes
Surfaces comparable historical projects from internal records
Produces client-specific talking points based on project type and budget range
Includes risk flags for scope creep and pricing volatility factors
Tool 3: PDF Proposal Generator
Once an estimate is locked, reps generate a professional client-facing PDF proposal with a single click — ready to send or present on-site.
Branded PDF output with line-item estimates and ranges
Scope summary and assumptions section auto-generated
Built for CRM integration — designed to plug into existing stack
Eliminates 1-2 hours of manual document formatting per proposal
Tech Stack
Technologies Used
| Layer | Technology | Role |
|---|---|---|
| Backend API | Python / FastAPI | Core service layer, routing, business logic |
| LLM (Reasoning) | Claude 3.5 Sonnet | NL understanding, context parsing, brief generation |
| LLM (Fallback) | GPT-4o (OpenAI API) | Redundancy and cross-validation layer |
| Compute Layer | Deterministic Python Engine | All pricing math, range calculation, formula logic |
| Cloud Infrastructure | AWS (EC2 + S3 + Lambda) | Hosting, file storage, serverless triggers |
| PDF Generation | Python (ReportLab / WeasyPrint) | Branded proposal document output |
| Data Store | PostgreSQL | Internal pricing reference database |
| Auth & Access | JWT + Role-Based Access | Agent-level access, admin controls |
Why a Computation Layer Matters Here
Construction estimates involve real arithmetic — material quantities, unit pricing, labor multipliers, margin calculations. A standard LLM will produce a number, but that number is a prediction of what the output should look like, not the result of actual math.
Dojo Labs' computation layer intercepts every numerical request and routes it through a deterministic engine — the same pricing data, the same formulas, every time.
The Transformation
Before & After Dojo Labs
Before
2-3 hours per estimate cycle
Manual spreadsheet lookups
Inconsistent quotes across reps
Post-visit document formatting
Tribal knowledge dependency
After
Under 20 minutes, start to finish
Automated pricing from internal DB
Standardized estimates across all 12 agents
One-click branded PDF proposals
AI-assisted meeting briefs on demand
Roadmap
What's Next
Phase 2 is underway, integrating the sales suite directly into AI Transform LLC's existing CRM infrastructure:
Automatic proposal creation triggered by CRM deal stage changes
Estimate history and rep performance tracking at the team level
Real-time pricing sync as internal reference data is updated
Mobile-optimized interface for on-site use during visits
The system was architected from day one to support CRM integration — this phase is an extension, not a rebuild.
Ready to build something like this?
Book a 30-minute call. We'll discuss where your AI handles numbers, identify hallucination risks, and map out your computation layer.
Book a Free Discovery Call