01
One useful job.
Each product starts with a defined user and workflow rather than a general AI demonstration.
Internal Products
Three products we are building to make the work visible.
Each product starts with a bounded business workflow. We will publish working software, its limits, and what we learn as the products become ready. These are MavenSolutions initiatives, not client case studies or generally available offerings.
All products in development01
Product
In development
Landscaping Estimating AI Tool
Who it is for.
Owners, sales estimators, and operations teams at landscaping contractors who need to turn a job request into a complete, reviewable estimate.
The problem.
Customer requirements, measurements, material choices, labor assumptions, and exclusions often arrive in separate notes. Missing one detail creates another site visit, another revision, or an estimate that is difficult to defend.
Planned workflow.
The tool is designed to collect a structured job brief, identify missing inputs, organize materials and labor, and prepare an estimate draft from company-approved pricing inputs.
What we will evaluate.
Scope completeness, missing-assumption detection, consistency with estimator-approved examples, correction time, and the usefulness of the final estimate draft.
Human boundary.
An estimator confirms site conditions, measurements, material choices, labor assumptions, costs, margin, and the final customer price before anything is sent.
02
Product
In development
Fence Builder Estimating AI Tool
Who it is for.
Residential and commercial fence builders whose owners, salespeople, or estimators prepare quotes from measurements, material selections, and site notes.
The problem.
Linear footage is only the beginning. Fence type, posts, gates, removal, terrain, access, labor, and local requirements can change the scope and price. Important assumptions are easy to miss when the estimate is assembled by hand.
Planned workflow.
The tool is designed to organize the job inputs, flag omissions, and prepare a reviewable material, labor, and estimate draft using the builder’s approved rules and pricing.
What we will evaluate.
Quantity accuracy, scope completeness, variance from estimator-approved outputs, correction effort, and the system’s ability to surface uncertain inputs instead of guessing.
Human boundary.
A fence professional confirms field measurements, site conditions, material specifications, permit or code requirements, labor, and final pricing.
03
Product
In development
Website Voice Sales AI Representative
Who it is for.
Service businesses that want website visitors to ask questions by voice and reach the right human next step with more context than a basic contact form provides.
The problem.
Prospective buyers often arrive with specific questions, but static pages and forms do not always help them explain what they need. Sales teams then repeat the same early discovery work or receive incomplete inquiries.
Planned workflow.
The representative is designed to hold a real-time voice conversation using approved company information, ask bounded qualification questions, create a structured summary, and route the visitor to an approved next step.
What we will evaluate.
Answer accuracy, unsupported-claim rate, response latency, qualification completeness, escalation behavior, and the usefulness of the handoff summary to a sales representative.
Human boundary.
The business controls the approved knowledge, questions, data policy, and escalation rules. The AI does not make binding prices, contract terms, or high-stakes promises without human approval.
04
Why we build them
A product should prove more than a polished demo.
02
Evidence before polish.
We define representative examples and review criteria before deciding that a product works.
03
Production responsibility.
The work includes failure handling, monitoring, cost, and change control—not only the happy path.