One-time build cost$35k – $55k
Ongoing cost~$500/mo (hosting + AI tokens)
CVs screened per hourUnlimited — instant
Hours of operation24/7/365
Sick days / turnoverZero
What it does
✓ AI screening and ranking of every CV against your criteria — no human bias
✓ Automated outreach, interview scheduling and candidate Q&A chatbot
✓ Full kanban pipeline from sourcing to offer — always visible, always current
✓ Eliminates agency fees entirely — save $15k–$25k per placement
Average salary (AU)$75k – $110k/yr
Oncosts (super, leave)+25% (~$19k – $28k)
CVs screened per hour~20–30
Hours of operation~40hrs/wk
Sick days / turnoverIndustry avg 12 days/yr
Common pain points
✗ Inconsistent screening — fatigue, bias and volume caps quality
✗ Turnover risk: average recruiter tenure is 1.5–2 years
✗ No pipeline visibility when they're on leave or out sick
Fee per placement15–25% of salary
Cost per $80k hire$12k – $20k
Cost for 5 hires/yr$60k – $100k
Candidate qualityMixed — volume-driven
Common pain points
✗ Fees stack up fast — 5 hires can cost more than the AI build
✗ Agency owns the candidate relationship, not you
✗ Speed depends on their pipeline, not yours
Bottom line: AIRecruiterz is already built and live at airecruiterz.com. A business running 5 hires a year through an agency spends $60k–$100k in fees alone — enough to build and run the AI for years. An in-house recruiter costs $95k–$140k all-in annually. The AI build pays for itself inside 6 months and never asks for a pay rise.
One-time build cost$40k – $65k
Ongoing cost~$600/mo (hosting + AI tokens)
Document turnaroundMinutes, not days
Hours of operation24/7/365
Consistency100% — same quality every time
What it does
✓ AI-assisted document drafting, review and clause-level redlining
✓ Matter management, deadline tracking and client communication logs
✓ Legal research summaries from uploaded case files and legislation
✓ Contract templates generated and version-controlled automatically
Average salary (AU)$65k – $95k/yr
Oncosts (super, leave)+25% (~$16k – $24k)
Document turnaround1–3 days typical
Hours of operation~40hrs/wk
ConsistencyVaries — fatigue is real
Common pain points
✗ Bottleneck during high-volume periods — documents queue up
✗ Knowledge walks out the door when they leave
✗ Training new staff takes 3–6 months to reach full productivity
Hourly rate$85 – $180/hr
Annual cost (20hrs/wk)$88k – $190k
Document turnaround2–5 business days
Context continuityLow — re-briefing required
Common pain points
✗ Every matter re-briefed from scratch — no persistent memory of your business
✗ Costs spike unpredictably during busy periods
✗ Confidentiality risk increases with every external party
Bottom line: LexCore is live at lexcore.aiworkerz.com. An in-house paralegal costs $80k–$120k all-in per year. Outsourced legal support can hit $190k. LexCore's build cost is recovered inside the first year — and it works around the clock, never misses a deadline, and gets smarter with every document your firm puts through it.
Build cost$32k – $58k
Ongoing cost~$400/mo
Invoice automation rate85–95% straight-through
Hours of operation24/7/365
Ongoing licence costNone — you own the code
What it does
✓ Extracts invoice data from any format — PDF, image, email, EDI
✓ Three-way matching (invoice / PO / GRN) built to your exact rules
✓ Routes exceptions and approvals automatically — your matrix, not a generic workflow
✓ Posts directly to Xero, MYOB, SAP, NetSuite or Dynamics
Average salary (AU)$60k – $80k/yr
Oncosts+25% (~$15k – $20k)
Invoices per day~80–120 manually
Error rate1–3% (industry average)
Common pain points
✗ Invoice backlogs during leave, sick days and month-end peaks
✗ Duplicate payments and data entry errors cost real money
✗ Manual processes don't scale without hiring more staff
Licence cost$20k – $60k/yr
Integration cost$30k – $80k one-off
CustomisationLimited — their way, not yours
You own it?No — perpetual licence
Common pain points
✗ Licences are forever — prices increase, you can't exit easily
✗ You bend your process to fit the software, not the other way around
✗ Still need a human to manage exceptions and exceptions are common
Bottom line: An AP officer costs $75k–$100k all-in per year. A SaaS licence adds $20k–$60k annually with no code ownership. An AI-native AP build at $45k pays for itself in under 12 months and processes invoices around the clock — no backlogs, no duplicate payments, no month-end panic.
Build cost$28k – $50k
Ongoing cost~$350/mo
Days Sales OutstandingReduced 20–40% typical
Hours of operation24/7/365
What it does
✓ Auto-generates and sends invoices the moment a job is complete
✓ Tiered follow-up sequences — polite reminder, firm notice, escalation
✓ Matches payments to invoices and flags discrepancies automatically
✓ Real-time debtor ageing dashboard — always current, always visible
Average salary (AU)$58k – $78k/yr
Oncosts+25% (~$15k – $20k)
Follow-up consistencyVaries — relationship-dependent
After-hours chasingNone
Common pain points
✗ Humans avoid awkward follow-up calls — DSO creeps up
✗ Cash flow suffers when the AR officer is on leave
✗ Inconsistent follow-up frequency — some customers get chased, others don't
Commission on recovery10–25% of collected amount
Relationship damageHigh — adversarial by nature
Early-stage follow-upNot included
You retain the cash?75–90% of what's recovered
Common pain points
✗ Reaching out to a collector signals distrust — damages ongoing relationships
✗ Expensive when a simple automated nudge would have worked
✗ Only involved after the problem — not preventing it
Bottom line: An AR officer costs $73k–$98k all-in. The AI equivalent builds for $39k, chases every invoice on schedule without hesitation, and typically reduces Days Sales Outstanding by 20–40% — turning a cost centre into a cash flow accelerator.
Build cost$25k – $45k
Ongoing cost~$300/mo
Reconciliation speedDaily — automated
Hours of operation24/7/365
What it does
✓ Bank feed reconciliation daily — no month-end catch-up required
✓ Expense categorisation using your chart of accounts — learns your patterns
✓ BAS preparation flagged for review — accountant gets clean data, not chaos
✓ Integrates with Xero, MYOB or QuickBooks — no new software required
Average salary (AU)$55k – $75k/yr
Oncosts+25% (~$14k – $19k)
Reconciliation frequencyWeekly or monthly
Availability at month-endBottlenecked
Common pain points
✗ Month-end is always a scramble — data is never truly real-time
✗ Miscategorisation is common and hard to catch until audit time
✗ BAS period creates a bottleneck every quarter regardless of workload
Hourly rate$50 – $100/hr
Annual cost (10hrs/wk)$26k – $52k
Context knowledgeLow — re-briefing needed
Turnaround2–7 days for queries
Common pain points
✗ They don't know your business the way an embedded person would
✗ Every question is a billable interaction — you self-censor to save money
✗ Errors discovered late because turnaround is slow
Bottom line: A bookkeeper costs $69k–$94k all-in. An AI-native build at $35k delivers daily reconciliation, real-time categorisation and clean BAS prep — and the accounts are never 3 weeks behind because someone called in sick.
Build cost$18k – $35k
Ongoing cost~$200/mo
Accuracy rate99%+ with validation
SpeedThousands of records/hour
What it does
✓ Extracts structured data from PDFs, images, emails and forms automatically
✓ Validates against business rules before writing to your system
✓ Flags anomalies for human review — only exceptions reach a person
✓ Integrates with any system with an API — no manual re-keying
Average salary (AU)$50k – $65k/yr
Oncosts+25% (~$13k – $16k)
Accuracy rate96–98% (fatigue-dependent)
Speed~1,000 keystrokes/hour
Common pain points
✗ High turnover — repetitive work drives attrition
✗ Errors increase with volume and fatigue — costly to audit
✗ Backlog builds instantly when volume spikes or someone leaves
Cost per FTE (offshore)$8k – $18k/yr
Management overheadHigh — coordination cost
Data securityRisk — offshore access
Quality controlRequires dedicated QA layer
Common pain points
✗ Timezone friction means overnight queues — nothing gets done in real time
✗ IP and data risks with sensitive documents leaving your environment
✗ You still need a local QA person — the cost saving disappears
Bottom line: Data entry is the single easiest role for AI to replace completely. An in-house operator costs $63k–$81k all-in. An AI build at $26k processes more records in an hour than a human does in a week — with higher accuracy and zero attrition.
Build cost$30k – $55k
Ongoing cost~$400/mo
Response timeInstant — 24/7
Concurrent conversationsUnlimited
What it does
✓ Handles inbound queries across chat, email and web — simultaneously
✓ Resolves orders, refunds and FAQs without human involvement
✓ Escalates to a human with full context — no re-explaining required
✓ Learns from every interaction — improves continuously
Average salary (AU)$52k – $70k/yr
Oncosts+25% (~$13k – $18k)
Concurrent conversations1–2 at most
After-hours coverageNone without rostering
Common pain points
✗ Queue blowout at peak times — customers wait, satisfaction drops
✗ High turnover in CS roles — constant retraining cost
✗ Inconsistent answers depending on who picks up the query
Cost per agent (offshore)$12k – $25k/yr
Minimum contractUsually 3–5 agents
Brand voice consistencyLow — scripted at best
Product knowledge depthShallow — high turnover
Common pain points
✗ Agents don't know your product — customers know it immediately
✗ Minimum seat counts mean you pay for capacity you don't need
✗ Escalations back to your team defeat the purpose of outsourcing
Bottom line: A CS rep costs $65k–$88k all-in. The AI build at $42k handles unlimited simultaneous conversations, never has a bad day, and responds in under 3 seconds — around the clock. One human handles the exceptions. Everyone else is handled by the AI.
Build cost$35k – $60k
Ongoing cost~$400/mo
Payroll errorsNear zero with validation rules
Compliance updatesRule-driven — updatable
What it does
✓ Pulls timesheet data, applies award rules and calculates pay automatically
✓ Manages leave accruals, super contributions and payroll tax
✓ Flags anomalies before payroll runs — human reviews exceptions only
✓ Generates payslips, ATO reporting and super lodgements automatically
Average salary (AU)$65k – $90k/yr
Oncosts+25% (~$16k – $23k)
Payroll errors1–2% industry average
Knowledge dependencyHigh — single point of failure
Common pain points
✗ If the payroll officer is sick on pay week, everyone notices
✗ Award compliance is complex — errors create underpayment liability
✗ Institutional knowledge is locked in one person's head
Cost per employee/month$8 – $20/employee
Cost for 50 staff/yr$4.8k – $12k
Custom rule handlingLimited — extra fees apply
Integration with HR systemOften manual file transfer
Common pain points
✗ EBA and award complexity is billed as an add-on — costs spike
✗ Corrections require re-submission cycles — slow and frustrating
✗ No real-time visibility — you get a report after the fact
Bottom line: An in-house payroll officer costs $81k–$113k all-in. Payroll errors create legal liability — underpayments average $56k per remediation case in Australia. An AI-native build at $47k eliminates the single-point-of-failure risk and pays for itself in well under a year.
Build cost$22k – $42k
Ongoing cost~$250/mo
Response timeInstant — 24/7
ScalabilitySupports entire team, not one exec
What it does
✓ Drafts emails, memos and documents from brief prompts or templates
✓ Manages meeting scheduling, reminders and follow-up actions
✓ Handles inbound enquiry triage — routes to the right person automatically
✓ Prepares agendas, meeting notes and action item summaries
Average salary (AU)$55k – $75k/yr
Oncosts+25% (~$14k – $19k)
Serves1–3 executives typically
After-hours availabilityNone
Common pain points
✗ Capacity maxes out — a busy exec's admin is always behind
✗ Leave periods create genuine disruption to executive workflows
✗ Significant time spent on tasks any competent AI can now handle
Hourly rate (AU-based)$35 – $65/hr
Hourly rate (offshore)$8 – $20/hr
Annual cost (20hrs/wk)$8k – $68k depending on source
Context continuityMedium — depends on person
Common pain points
✗ Offshore VAs require constant re-briefing and quality checking
✗ Turnaround on tasks is slow — timezone lag kills real-time productivity
✗ Task complexity ceiling — complex or sensitive work can't be delegated
Bottom line: An admin assistant costs $69k–$94k all-in and serves 1–3 people. An AI admin at $32k serves your entire team simultaneously, responds instantly at any hour, and never needs a holiday — the productivity gain compounds across every person it supports.
Build cost$35k – $65k
Ongoing cost~$450/mo
Monitoring frequencyReal-time — 24/7
ReportingAutomated — always current
What it does
✓ Monitors workflows and flags delays, blockers and SLA breaches in real time
✓ Auto-generates status reports and KPI dashboards — no manual collation
✓ Coordinates routine supplier and inter-department communications automatically
✓ Escalates exceptions to the right person with full context attached
Average salary (AU)$65k – $90k/yr
Oncosts+25% (~$16k – $23k)
Status update frequencyWhen they get around to it
Single point of failureYes — operations stall on leave
Common pain points
✗ Status reports are always out of date — data is pulled manually
✗ Coordination relies on institutional knowledge that doesn't transfer
✗ Can only monitor what they can personally see — blind spots are common
Day rate$800 – $2,000/day
Ongoing retainer$5k – $15k/mo
Embedded knowledgeLow — periodic engagement
Continuous monitoringNone
Common pain points
✗ High cost for intermittent engagement — not built for continuous ops
✗ Recommendations without implementation — execution falls back on your team
✗ Context built up over months leaves when the engagement ends
Bottom line: An ops coordinator costs $81k–$113k all-in. The AI build at $50k monitors everything in real time, reports automatically and never misses a SLA breach — meaning your senior ops person spends their day making decisions instead of chasing status updates.
Build cost$28k – $52k
Ongoing cost~$350/mo
Follow-up consistency100% — never drops a lead
CRM hygieneAutomated — always accurate
What it does
✓ Auto-generates proposals and quotes from CRM data and templates
✓ Sends follow-up sequences at the right intervals — no lead goes cold
✓ Updates CRM after every interaction — no manual data entry for reps
✓ Coordinates hand-offs between sales, ops and delivery automatically
Average salary (AU)$58k – $78k/yr
Oncosts+25% (~$15k – $20k)
CRM accuracy60–70% (reps forget to update)
Follow-up consistencyDependent on workload
Common pain points
✗ CRM is always out of date — pipeline data can't be trusted
✗ Proposal turnaround depends on one person's availability
✗ Leads go cold when the coordinator is sick or busy with other work
Licence cost$10k – $40k/yr
Adoption rateTypically 40–60% of team
CustomisationLimited — their workflow, not yours
Reduces admin burden?Partially — still needs a human
Common pain points
✗ Licence cost adds up — and most teams only use 30% of features
✗ Adoption is the real problem — platforms don't replace the coordinator role
✗ Integration with your existing CRM is always more complex than advertised
Bottom line: A sales coordinator costs $73k–$98k all-in. The AI build at $40k means your CRM is always accurate, every lead is followed up on schedule, and every proposal goes out the same day — your sales team sells, the AI handles the rest.
Build cost$28k – $50k
Ongoing cost~$350/mo
Content output capacityUnlimited — on demand
Reporting frequencyReal-time dashboards
What it does
✓ Drafts social posts, email campaigns and blog content from briefs
✓ Schedules and publishes across channels — no manual queuing
✓ Pulls campaign performance data and generates reports automatically
✓ A/B test coordination and result tracking without manual spreadsheets
Average salary (AU)$58k – $80k/yr
Oncosts+25% (~$15k – $20k)
Content output5–10 pieces/week (with tools)
Reporting turnaroundWeekly — manual collation
Common pain points
✗ Content volume ceiling — one person can only produce so much
✗ Campaign reporting is manual and always behind the data
✗ When they leave, brand voice and campaign history walk out with them
Monthly retainer$3k – $15k/mo
Annual cost$36k – $180k
ResponsivenessSlow — competing clients
Brand knowledge depthShallow — especially early on
Common pain points
✗ Generic content that doesn't sound like your brand
✗ Slow turnaround on ad-hoc requests — you're not their only client
✗ Reporting is prepared by the agency — you have to trust their data
Bottom line: A marketing coordinator costs $73k–$100k all-in. The AI build at $39k produces content at a volume no human can match, schedules automatically, and reports in real time — freeing your senior marketer to focus on strategy, not scheduling.
Build cost$22k – $42k
Ongoing cost~$250/mo
Processing timeSeconds — any volume
Order error rateNear zero with validation
What it does
✓ Ingests orders from web, email, EDI and phone (transcribed) automatically
✓ Validates stock availability, pricing and customer credit in real time
✓ Routes to warehouse or 3PL with pick list generated instantly
✓ Customer confirmation and tracking updates sent automatically
Average salary (AU)$52k – $68k/yr
Oncosts+25% (~$13k – $17k)
Processing time15–45 mins per order
After-hours ordersQueued until morning
Common pain points
✗ After-hours orders sit overnight — customers wait, delivery delays
✗ Manual entry errors cause fulfilment mistakes and returns
✗ Volume spikes (sales, seasonality) overwhelm one person instantly
Licence cost$15k – $50k/yr
Implementation cost$30k – $100k
CustomisationExpensive — change requests billed
Still needs a human?Yes — exceptions and oversight
Common pain points
✗ ERP implementation always takes longer and costs more than quoted
✗ You configure your business around the software instead of the other way
✗ Annual licence means permanent dependency — price increases at renewal
Bottom line: An order processor costs $65k–$85k all-in. The AI build at $32k processes any order in seconds from any channel, around the clock — no queues, no manual errors, and your warehouse gets the pick list before the customer finishes placing their order.
Build cost$28k – $52k
Ongoing cost~$350/mo
Scheduling speedInstant — constraint-optimised
Rescheduling handlingAutomatic — all parties notified
What it does
✓ Allocates jobs based on geography, availability, skills and priority
✓ Sends confirmations and reminders to all parties automatically
✓ Handles reschedule requests and re-optimises the schedule in real time
✓ Integrates with your existing calendar, job management and CRM systems
Average salary (AU)$55k – $75k/yr
Oncosts+25% (~$14k – $19k)
Optimisation methodManual — experience-based
After-hours reschedulingNot handled until morning
Common pain points
✗ Scheduling is in one person's head — no one else can step in easily
✗ Last-minute cancellations cause chaos — manual re-jigging takes hours
✗ Suboptimal route planning means wasted travel time and cost
Licence cost$5k – $20k/yr
Still needs a human?Yes — for exceptions and config
CustomisationLimited — generic rules
Integration depthShallow — often manual sync
Common pain points
✗ Off-the-shelf scheduling can't handle your specific constraints
✗ A human still manages exceptions — which is most of the real workload
✗ Annual licence forever — no ownership, price increases at renewal
Bottom line: A scheduling coordinator costs $69k–$94k all-in. The AI build at $40k schedules, optimises and re-schedules in real time around the clock — your team gets to the right job at the right time, and no cancellation causes a crisis.
Build cost$20k – $38k
Ongoing cost~$220/mo
After-hours handlingFull — no missed calls
Concurrent calls/chatsUnlimited
What it does
✓ Answers inbound calls and chats — greets, qualifies and routes instantly
✓ Books appointments and sends confirmations without human intervention
✓ Handles FAQs, opening hours, location and general enquiries automatically
✓ Transfers urgent calls to a human with context already summarised
Average salary (AU)$52k – $68k/yr
Oncosts+25% (~$13k – $17k)
After-hours coverageNone — voicemail only
Concurrent handling1 call at a time
Common pain points
✗ Callers during lunch, breaks or busy periods go to voicemail — lost leads
✗ Inconsistent tone and information depending on who answers
✗ Annual cost for a role that is almost entirely automatable
Monthly cost$200 – $800/mo
Annual cost$2.4k – $9.6k
Business knowledgeMinimal — scripted only
Booking capabilityUsually none — message only
Common pain points
✗ Callers know they've hit a call centre — brand impression suffers
✗ Can only take a message — no resolution, no booking, no triage
✗ Messages lost or delayed — follow-up falls back to your team anyway
Bottom line: A receptionist costs $65k–$85k all-in and covers one desk, one shift, one call at a time. The AI build at $29k handles unlimited simultaneous enquiries around the clock — every call answered, every lead captured, every appointment booked.
Build cost$38k – $65k
Ongoing cost~$450/mo
Process coverageAll repeatable processes automated
ReportingReal-time — no manual collation
What it does
✓ Automates onboarding checklists, vendor reminders and contract renewals
✓ Tracks budget spend against categories and flags variances automatically
✓ Manages HR admin workflows — leave requests, induction documents, equipment
✓ Generates operational reports and dashboards for leadership without manual effort
Average salary (AU)$70k – $100k/yr
Oncosts+25% (~$18k – $25k)
Knowledge dependencyVery high — institutional risk
Process documentationRarely done — lives in their head
Common pain points
✗ Everything stops when they leave — succession planning is almost always neglected
✗ Most of their time is spent on tasks AI can handle — the strategic work suffers
✗ Reporting is manual and always a week behind — leadership decisions are made on old data
Platform stack cost$15k – $45k/yr (licences)
Still needs a human?Yes — platforms don't integrate
FragmentationHigh — tools don't talk to each other
Vendor managementEach tool has its own contract
Common pain points
✗ 5 SaaS tools that don't integrate means a human manually bridges them
✗ Each platform has its own renewal, contract and price escalation
✗ Data sits in silos — no single operational view without manual consolidation
Bottom line: An office manager costs $88k–$125k all-in — and when they leave, institutional knowledge leaves with them. An AI-native build at $51k automates every repeatable process, keeps reporting real-time and never holds your business hostage to one person's memory.