Why it matters
Without it, estimates drift from reality, site access surprises extend crew time, equipment availability issues rise, and client expectations become misaligned or late.
From design to safety
Design
AI estimates and scopes defined
The AI reads site photos and site plan data to define tree size, access constraints, and work type, informing the initial estimate and method statement; it also anchors the pricing envelope to known material costs and typical labour rates.
- tree size data
- site access data
- work type data
Build
Crew and machinery planning input
The system translates image-derived metrics into crew hours, required machinery, and disposal requirements, guiding procurement, scheduling, and temporary works planning, including access routes, ground protection measures, and waste segregation.
- crew time data
- machinery requirements
- disposal needs
Operation
On-site validation of estimates
Field technicians verify AI-derived inputs against real conditions, updating the estimate if deviations occur, recording actual diameters, heights, access limitations, and equipment usage against the proposal.
- site measurements
- on-site photos
- conditions notes
Maintenance
Quote record maintenance
Maintain a history of estimates, amendments, and final charges for audit, invoicing, and client reporting, with versioned PDFs, client messages, and approval timestamps.
- estimate archive
- amendment logs
- final charges
Safety
Compliance and reporting checks
Cross-checks ensure method statements align with VTA rules, safety gear, and risk assessments before work begins, plus cross-reference with LOLER inspection dates and PPE requirements.
- risk assessment
- PPE checklist
- LOLER and LOLER-related records
Part by part
- 1
tree size analysis device
- Watch for
- Rooted or tall trees near utilities, growth anomalies, diameter changes over time
- AI action
- Extract crown height and trunk diameter from photos; flag variance for ground crew review
- 2
site access assessment camera
- Watch for
- Restricted access points, traffic control conflicts, slope and ground conditions
- AI action
- Identify least-impeded access routes; propose access plan and equipment placement
- 3
work type classifier
- Watch for
- Stakeholder-imposed work types, special techniques
- AI action
- Assign work type category and required methods based on morphology and photos
- 4
crew time calculator
- Watch for
- Estimated hours vs known crew rates, shift patterns
- AI action
- Compute initial crew hours and shifts; compare against historical averages
- 5
machinery planning module
- Watch for
- Equipment availability and payload limits
- AI action
- Recommend crane, MEWP, or skid steer needs and scheduling windows
- 6
disposal planning ledger
- Watch for
- Waste tonnage, chipping capacity, recycling options
- AI action
- Forecast disposal tonnage and supplier needs
Worked example
Catching a Great Age Tree: Site Photo Quote
Illustrative scenario with sample data.
A mid-sized urban site requires pruning, reduction, and removal of a leaning elm with limited access.
Signal in
sitePhotos: {treeDiameter: 420, height: 12, accessWidth: 2.1, groundSlope: 6, workType: 'prune and reduce', debris: '2 loads'}, plan: {vehicleAccess: 'rear alley', disposal: 'on-site chipping'}, crew: {experience: 'senior'}, estimates: {distanceToWork: 350, contingency: 0.15, currency: 'GBP'}, sitePlan: {budget: 7500, accessRoadWidth: 2.5, setback: 3.0}
System out
Quote generated: treeSize 420mm DBH, height 12m, access adequate via rear alley, workType prune/reduce; crew 2 climbers + 1 groundie, 1 chipper, disposal via on-site chipping; price: £7,400, contingency included; schedule window: week 26
Human sign-off: Arboricultural consultant reviews and approves the quote; contracts manager finalizes terms and issues the client contract.
How to roll it out
Phase 1
Weeks 1 to 2: Baseline
Implement photo intake, data extraction, and draft estimation templates; establish audit trail and change logging to satisfy audit standards and contract needs.
Phase 2
Weeks 3 to 6: Validation
Pilot with live quotes; verify AI outputs against field measurements, log discrepancies, and refine rules with senior estimator input.
Phase 3
Weeks 7 to 12: Rollout
Full deployment across bids; integrate with contract management, client-facing documentation, and post-quote amendment workflows.
Where people stay in charge
- Decisions on price multipliers, contingency, and scope changes must be signed by the contracts manager or arboricultural consultant.
- All model outputs and data must be reviewed for regulatory compliance and safety before client submission.
- Sensitive site data and client information must be stored securely and retained per policy and contract.
Questions owners and crews ask
How does AI read tree size from site photos and what metrics matter?
The system analyzes trunk diameter cues and crown height to estimate DBH and volume, flagging inconsistent measurements for human review; it also cross-checks with plan data and site measurements.
Can AI determine the required machinery from photos alone?
Yes, it assesses access, ground conditions, and debris loads to suggest suitable equipment and scheduling windows, factoring in load limits and travel times.
What happens if on-site conditions differ from the photo data?
Field verification triggers a human reevaluation, updating the estimate and creating a revised work spec, with an additional risk assessment and updated plan.
Who approves the final quote before sending to the client?
The contracts manager reviews the AI outputs, validates compliance, and signs off before client presentation, with oversight from the arboricultural consultant for method checks.