Industry AI automation

AI estimating agents for landscaping teams.

ClearGuide helps landscaping companies turn field notes, photos, voice memos, supplier catalogs, and pricing rules into review-ready estimates—without taking judgment away from the estimator.

▣ Field-friendly intake◯ Human-reviewed↗ Works around QuickBooks
AI Estimating Agent
1 Field notes2 Scope & quantities3 Estimate draft
NotesPhotosVoice
Front bed refreshField note

Clean up and redefine bed. Add stone curb, mulch, and new plantings.

Side yard plantingPhoto note

Add shrubs and two accent trees. Mulch entire bed.

Detected items

  • Natural stone curbing120 LF
  • Cypress mulch24 CY
  • Shrub planting5 EA
Unresolved questionConfirm stone curb heightStandard 4 in. or low profile?

Estimate draft

  • Natural stone curbingReview
  • Cypress mulchReview
  • Planting laborReview
  • HaulingReview
Ready for estimator reviewReview assumptions, pricing, and scope.

From jobsite notes to a review-ready estimate.

The AI Estimating Agent organizes the inputs, applies approved business rules, and surfaces the questions that still need an estimator.

1Real field input

Notes arrive in the format the team already uses

  • Pasted notes
  • Voice memo
  • Photo notes
  • Customer and property context
2AI-assisted preparation

Scope, quantities, and catalog matches are proposed

  • Organize the scope
  • Calculate material quantities
  • Match active catalog items
  • Flag unknowns
3Governed estimate logic

Approved rules turn scope into a draft

  • Materials and waste
  • Labor production standards
  • Hauling and disposal
  • Markup and margin rules
4Human checkpoint

The estimator owns the final estimate

  • Review assumptions
  • Correct quantities
  • Confirm pricing and margin
  • Approve the customer commitment

Tested against real landscaping workflows.

The product pattern has been tested against real field notes, supplier catalogs, material calculations, labor rules, estimate review, and controlled QuickBooks handoffs used in landscaping operations.

Catalog-grounded
Matches active supplier catalogs and item data.
Rule-governed
Applies approved business rules consistently.
Estimator-approved
The estimator reviews and owns the final estimate.

One estimating agent, built around the work.

A focused product can connect the messy first mile of estimating without replacing the systems or judgment your team already trusts.

Field-friendly intake

Paste notes, prepare voice memos, or review photo notes in one consistent workflow.

Material and labor logic

Calculate quantities, waste, labor standards, hauling, and disposal from approved rules.

Estimator review

Preserve assumptions, questions, corrections, approval history, and estimate versions.

AI Estimating Agent

  1. Field intake
  2. Scope review
  3. Estimate draft
  4. QuickBooks preview

Catalog-grounded materials

Match only active, priced items and leave unknown products unresolved.

Pricing governance

Use versioned cost, markup, margin, and minimum-charge rules without autonomous pricing.

Controlled QuickBooks handoff

Create only an explicitly approved, unsent estimate with reconciliation before completion.

AI supports the estimate. People keep the judgment.

Scope interpretationPricing and marginCustomer commitmentsEstimate approvalFinal QuickBooks action

The agent proposes and prepares. The responsible estimator decides.

Direct answers before a pilot starts.

Use these answers to see where the agent can help and what should stay human.

Does the AI agent set our prices?

No. AI can organize notes and propose structured scope. Approved deterministic rules calculate the draft, and an estimator reviews pricing, margin, and the customer commitment.

Can it work with our supplier catalogs and QuickBooks?

Yes, after the actual catalog formats, item mappings, data quality, and QuickBooks handoff requirements are validated during a focused pilot.

What should a first landscaping pilot include?

Start with one real estimate path: representative field notes, approved catalog items, material and labor rules, estimator review, and a controlled unsent QuickBooks preview.

See where an AI Estimating Agent could fit your landscaping workflow.

Map the current estimate process, define the review points, and decide whether a focused pilot is worth it.

No obligation. Just clarity.

Industry AI automation

AI estimating agents for landscaping teams.

ClearGuide helps landscaping companies turn field notes, photos, voice memos, supplier catalogs, and pricing rules into review-ready estimates—without taking judgment away from the estimator.

Field-friendly intakeHuman-reviewedWorks around QuickBooks
AI Estimating Agent
1 Field notes → 2 Scope & quantities → 3 Estimate draft
FIELD NOTEFront bed refresh

Clean up and redefine bed. Add stone curb, mulch, and new plantings.

DETECTED ITEMS

Natural stone curbing120 LF

Cypress mulch24 CY

Shrub planting5 EA

Ready for estimator reviewReview assumptions, pricing, and scope.

From field input to estimate draft

From jobsite notes to a review-ready estimate.

The AI Estimating Agent organizes the inputs, applies approved business rules, and surfaces the questions that still need an estimator.

01

Real field input

Notes arrive in the format the team already uses.

  • Pasted notes
  • Voice memos
  • Photo notes
  • Customer and property context
02

AI-assisted preparation

Scope, quantities, and catalog matches are proposed.

  • Organize the scope
  • Calculate material quantities
  • Match active catalog items
  • Flag unknowns
03

Governed estimate logic

Approved rules turn scope into a draft.

  • Materials and waste
  • Labor production standards
  • Hauling and disposal
  • Markup and margin rules
04

Human checkpoint

The estimator owns the final estimate.

  • Review assumptions
  • Correct quantities
  • Confirm pricing and margin
  • Approve the customer commitment

Tested against real landscaping workflows

Built around how estimating work actually moves.

The product pattern has been tested against real field notes, supplier catalogs, material calculations, labor rules, estimate review, and controlled QuickBooks handoffs used in landscaping operations.

Catalog-groundedMatches active supplier catalogs and item data.
Rule-governedApplies approved business rules consistently.
Estimator-approvedThe estimator reviews and owns the final estimate.

One estimating agent, built around the work

Connect the messy first mile without replacing trusted systems or judgment.

Field-friendly intake

Paste notes, prepare voice memos, or review photo notes in one consistent workflow.

Material and labor logic

Calculate quantities, waste, labor standards, hauling, and disposal from approved rules.

Catalog-grounded materials

Match only active, priced items and leave unknown products unresolved.

Pricing governance

Use versioned cost, markup, margin, and minimum-charge rules without autonomous pricing.

Estimator review

Preserve assumptions, questions, corrections, approval history, and estimate versions.

Controlled QuickBooks handoff

Create only an explicitly approved, unsent estimate with reconciliation before completion.

What stays human

AI supports the estimate. People keep the judgment.

Scope interpretationPricing and marginCustomer commitmentsEstimate approvalFinal QuickBooks action

The agent proposes and prepares. The responsible estimator decides.

FAQ

Direct answers before a pilot starts.

Use these answers to see where the agent can help and what should stay human.

Does the AI agent set our prices?+

No. AI can organize notes and propose structured scope. Approved deterministic rules calculate the draft, and an estimator reviews pricing, margin, and the customer commitment.

Can it work with our supplier catalogs and QuickBooks?+

Yes, after the actual catalog formats, item mappings, data quality, and QuickBooks handoff requirements are validated during a focused pilot.

What should a first landscaping pilot include?+

Start with one real estimate path: representative field notes, approved catalog items, material and labor rules, estimator review, and a controlled unsent QuickBooks preview.

Next step

See where an AI Estimating Agent could fit your landscaping workflow.

Map the current estimate process, define the review points, and decide whether a focused pilot is worth it.

Get a Clear Path ForwardNo obligation. Just clarity.