Disconnected records
Requests, trips, assets, invoices and messages live across systems that do not share context.
The problem
Physical work is still coordinated manually.
Service companies run on tickets, calls, spreadsheets, portals and tribal knowledge. The bottleneck is operational decision-making at scale.
Thousands of matching decisions
Every job depends on trade, asset, geography, compliance, capacity, price and SLA.
Humans chase the workflow
Late arrivals, rejections, missing evidence and billing issues require constant follow-up.
The work ends before the money moves
AR/AP readiness, NTE rules, proposals and disputes slow the path from completion to cash.
Why now
Software is moving from records to action.
AI lets operations teams stop navigating modules and start assigning outcomes.
Scroll / one operating evolution
03 / the solutionRequester.AI employee
Hire an AI operations employee—not another module.
Give Requester.AI an outcome. It creates the plan, administers the workflow, coordinates employees and compliant subcontractors, moves exceptions, verifies completion and keeps going until the result is true.
Sites resolvedNetwork checkedCompliance gatedBudget estimatedApprovals queued
How it works
You define the outcome. Requester.AI executes the workflow.
Intent becomes governed action across people, networks and financial rails.
Define → plan → execute → verify → settle → learn
The differentiator
Your AI employee comes with a compliant execution bench.
Not a vendor directory. A live eligibility and ranking layer that knows which network can complete which job, where, under which rules, at what cost and speed.
Hard rule: ineligible providers never enter the ranking.
Trade + serviceHVAC, snow, FLS, OEM, R&M and service-type fitMatch
Asset intelligenceAsset class, manufacturer, model and required expertiseMatch
TerritoryRadius, travel time, coverage density and site accessMatch
ComplianceCOI, licenses, certifications, W-9, forms and client approvalGate
PerformanceAcceptance, SLA, evidence quality, disputes and completion historyRank
Economics + capacityRates, NTE, margin, workload, availability and seasonalityRank
Faster assignment
Find eligible capacity without phone trees and spreadsheet searches.
Less leakage
Compliance is checked before dispatch, not after a failure.
Better SLA
Rank by acceptance and completion probability, not proximity alone.
Lower operations drag
Automate sourcing, invitations, follow-up and escalation.
Predictable margin
Make rate, NTE, travel and margin visible at assignment time.
Compounding moat
Every completed trip, exception, invoice and payment improves the next match.
Operational workflows
From Zero Inbox to Zero Decisions.
Action filters organize work today. Requester.AI turns those same queues into executable outcomes.
Schedule
Create visits, select capacity and coordinate access.
Schedule Event
Trigger weather, PM, campaign or exception work.
Ops Failures
Resolve late, rejected, never-arrived and unresponsive visits.
Verify
Confirm photos, forms, location, time and completion evidence.
Generate P/R
Create receivables, payables and the next financial action.
Financial impact
The job is not done until the money moves.
Field execution and financial closure run in one operating loop.
01
Field complete
Check-ins, photos, forms, notes and proof.
02
Billing ready
NTE, rates, proposals, materials and AP.
03
Receivable
Invoice generation, validation and review.
04
Payable
Provider line items, approvals and reconciliation.
05
Cash moving
Wallet, funding, collections and payment.
Fewer touches
Automation prioritizes what is ready
One operating loop
Requester.AI connects the field, finance rules and payment status so exceptions are handled before they stall cash.
Faster cash cycle
Less time from completion to invoice
Use cases
Built for subcontractor-heavy service operations.
Start where coordination pain is obvious and the outcome is measurable.
Facilities maintenance
Multi-site R&M, inspections, emergencies and billing throughput.
Fire + life safety
Compliance-heavy inspections, NFPA/ITM evidence and remediation.
Landscaping + snow
Weather-triggered outcomes, coverage density and seasonal capacity.
HVAC / R&M
Emergency dispatch, asset-specific providers, SLA and NTE control.
OEM warranty
Model-level service rules, claims, field verification and provider fit.
Rollouts + projects
Site campaigns, multi-market coordination and verified completion.
Implementation
Launch one employee around one outcome—then expand.
A clean operating model, a ready network and measurable success criteria create the fastest path to value.
Start focused / prove ROI / expand the employee’s scope
Enterprise readiness
Autonomy you can govern.
Requester.AI executes only through approved capabilities, policies, thresholds and audit trails.
Policy controls
RBAC, ABAC, approval thresholds, NTE rules and tenant-specific policy.
Every action traceable
Recommendation, evidence, approval, command, actor and result are recorded.
Enterprise integration
ERP, accounting, communications, identity, payments and reporting.
Humans set the boundary
AI recommends or executes only inside the level of autonomy you enable.
Next step
Start with one outcome. Prove the operating model.
We identify a high-value workflow, configure the network and measure impact from day one.
Recommended first outcomes
01Emergency dispatch
02Snow / weather event
03Ready-for-billing
04Compliance remediation
05Preventive maintenance campaign
30-day pilot motion
01Define the outcome and scorecard
02Map sites, assets, providers and policies
03Configure workflow and approvals
04Launch the Requester.AI employee
05Review results and expand scope
Requester.AI
Give your operations team another employee.
One that listens to the outcome, administers the workflow, coordinates compliant subcontractors, verifies completion and accelerates the path to cash.
Start with one outcome→