Now booking April/May 2026 Sprints

AI automation shipped in 30 days — or we adjust the fee.

Waifaster designs, builds and runs production-grade AI automations inside the Xero, HubSpot, ServiceM8, Shopify and Microsoft stack you already pay for. Built for Australian and New Zealand businesses from 10 to 500 staff — with a signed outcome guarantee.

Fixed-price engagements
🇦🇺 AU data residency by default
30 days to production
🛡 Outcome-guaranteed
waifaster · live automation
# before: manual quote generation (law firm, 28 matters/week) avg_handle_time: 47m · errors: 6.3% # after: Waifaster Sprint, 17 days to production avg_handle_time: 6m · errors: 0.9% hours_returned: 19.2/wk stack: ActionStep → Claude → Xero # KPI target: ≥15 hrs/wk saved ✓ guarantee upheld

Fluent in the tools you already pay for

Xero
HubSpot
ServiceM8
Shopify
Microsoft 365
Salesforce
Sound familiar?

The three ways AI projects quietly fail in Australian and New Zealand (ANZ) businesses.

These are real issues that we get from businesses that call us up for help. If one sounds like you, you're not alone — and you're not doing it wrong.

Pain #1 — Pricing shock

Your automation bill just went from $49 to $750 overnight.

Per-task pricing scales with every bug, every loop, every growth spike. Small operators tell the same story across forums/research/Waifaster audits: cheap to start, very expensive to fix.

"A user watched their Zapier bill go from $10/month to over $750 after a misconfigured Zap looped overnight. ouch!"
📣 Trustpilot / r/nocode — consolidated community sentiment
Pain #2 — AI washing

You paid $18k for what turned out to be a ChatGPT wrapper.

Owners keep discovering their "custom AI agent" is a prompt template plus a Zapier webhook — and the agency margin was in the mystique, definitely not the engineering eggs you'd want.

"80% of AI tools fail in production — often due to poor integration and lack of control."
📣 r/automation (consultant field report, widely quoted)
Pain #3 — Nobody uses it

You rolled it out. The team went back to doing it the old way because they're use to it?

Deploying AI without redesigning the workflow and training the humans is how tools get bought and never adopted. The ROI never shows up. Just left to hang....oh that's right!

"AI is cold and impersonal — if a business can't afford a person to answer the phone, the AI fix masks a deeper problem."
📣 Whirlpool Forums — AI phone answering solution for small business
Pain #4 — Data sovereignty

"Do you want AI using your data?"

Whirlpool threads keep circling the same worry — APP/Privacy Act exposure, opaque training usage, where records physically live. For health, legal and financial data this is non-negotiable.

"Privacy Act exposure, opaque training-data usage, unclear sovereignty — we don't know where our records actually live."
📣 Whirlpool Forums — Servers/Hosting
Pain #5 — Hallucinations

The bot invented a policy that didn't exist.

A widely-reported incident: a vendor's AI support bot told customers there was a one-device-per-account limit that never existed. Refunds ensued. Reputations didn't recover. Things are swept under the carpet.

"A few wrong answers bring down user trust more than a hundred correct ones build it."
📣 Enterprise field analysis of production AI failures
Pain #6 — Self-host regret

You self-hosted n8n. Now nobody wants to own it.

Self-hosting looks cheap until the original builder leaves and nobody else wants the pager. Ops debt compounds quietly.

"Self-hosting n8n involves maintenance, infrastructure headaches, debugging and operational lift that never really goes away."
📣 r/n8n — community thread
How Waifaster is different

We fix the three failure modes — by design, not by luck or guess work.

$

Fixed price. Vendor governance. No $$$$$ surprises.

Every engagement is a fixed fee. We actively monitor Zapier / OpenAI / Make consumption inside your end to end support and cap runaway workflows before your departments cap your budget.

Production-grade integration — not prompt templates.

We build inside the stack you already pay for: Xero, HubSpot, ServiceM8, simPRO, Shopify, Microsoft 365. Automations handle error states, edge cases and human-in-the-loop approvals from day one.

👥

Change management embedded into every Sprint.

Every Sprint includes workflow re-design, team training/support and a 30-day adoption scorecard. If usage is under 70% at day 30 we keep working — on our clock, not yours.

🛡

AU data residency and Privacy Act-aligned and compliance by default.

Models and data pipelines run in Australian cloud regions unless you opt out. Every engagement ships with a Data Privacy Impact Assessment, prompt/versioning log and APP-aligned data flow diagram.

The Waifaster guarantee

Hit the KPI we signed, or we adjust the fee.

Every Sprint is scoped around 2–3 numeric outcomes — hours saved, cost removed, tickets deflected. We sign them at kickoff. If we miss, we adjust pro-rata. No ambiguity. No change-order chaos or mess.

30d
to production, from contract signed
Packages

Start with an audit. Scale to end to end support. We have your back.

Productised pricing — no day rates, no open-ended commitments, no nasty surprises.

AI Readiness Audit
$4,950
2-week diagnostic. We map your top 10 automatable workflows and hand back a costed roadmap.
  • Workflow shadowing & interviews
  • ROI + risk score per workflow
  • 90-day costed roadmap
  • Full fee credited to any Sprint
Book the audit
Managed End to End Support
from approx. $3.5k/mo
We run your automations. Monitoring, vendor cost oversight/reviews, quarterly roadmap, new workflows each quarter.
  • 24/5 monitoring & incident response
  • Vendor governance (no major nasties or surprises)
  • Prompt/version control
  • 90-day exit window if KPIs slip
Talk end to end support
Custom/special AI projects
from $7.5k/mo
We help implement custom or special AI projects to your timelines.
  • Board & SteerCo/ELT reporting
  • Vendor selection & governance
  • Project deliver AI implementation with in-house AI engineering experience
  • Team upskilling program and support
Discuss
Vertical Playbooks

Pre-built automation packs for the industries we know based on hands on experience.

7–14 day deployments. Fixed price. 30-day money-back if not live on time.

Professional Services — Law, Accounting, Agencies

Intake triage, conflict checks, matter/job summaries, billable-hour capture, client onboarding.

ActionStepXero PracticeHubSpot

Trades & Field Services

Quote generation, job scheduling, after-hours call answering with handoff, no-show follow-ups, compliance checks.

ServiceM8simPROTradify

E-commerce & Retail

Support ticket triage, product copy & SEO, review mining, abandoned-cart sequencing, inventory alerts.

ShopifyGorgiasKlaviyo

SMB Operations (Horizontal)

Inbox triage, meeting-note extraction, CRM hygiene, expense coding, weekly-report auto-drafting.

Microsoft 365Google WorkspaceSlack

Mid-Market Enterprise

Policy-aware chatbots, procurement triage, compliance evidence collection, board-pack drafting with governance controls.

Azure OpenAISalesforceSharePoint

Custom Build

When a playbook doesn't fit. Discovery → scoped Sprint with KPI guarantee and AU data residency by default.

Clauden8nMake
How it works

Four steps. No major surprises.

Day 0 – 3

Audit

15-min call → 2-week diagnostic. We map workflows, score ROI and risk, and write you a costed roadmap.

Day 4 – 14

Design & KPI sign-off

We propose 1–3 automations with signed numeric outcomes. No KPI, no Sprint.

Day 15 – 30

Ship to production

Built inside your stack. Error handling, approvals, training, adoption scorecard, go-live.

Day 31+

Support & care

End to end support monitors, iterates and rolls out new workflows or fixes every quarter. We care for your business.

Why Waifaster

Built to out-ship the Big 4 and out-engineer the prompt-wranglers.

🎯

Outcome-first contracts

Every Sprint carries a signed KPI and a fee-adjust clause. You carry minimal delivery risk.

🇦🇺

Australian by default

AU cloud regions, APP-aligned data flows, local operators who understand your Privacy Act exposure.

🧩

Productised, not bespoke chaos or untested implementations

Vertical Playbooks deploy in 7–14 days. Custom Sprints in 30. No three-quarter discovery phases.

💸

Fixed price, vendor-cost governed

We own your Zapier/OpenAI meter inside the end to end support. No $750 Monday-morning surprises or chaos.

🛠

Integration depth

Fluent in Xero, HubSpot, ServiceM8, simPRO, Shopify, Microsoft 365, Salesforce. Not a wrapper over ChatGPT.

🤝

Adoption warranty

If fewer than 70% of your team is using the automation at day 30, we keep working — on our clock.

Partners

The team and tools that ship with you, faster.

Faster AI takes more than software — it takes humans who own the outcome and a stack that integrates without friction. We are Waifaster.

01

The Waifaster team

TT

Tony

Founder

Ex-PwC. Ex-IBM. 15+ years of building products that integrate and scale.

JJ

James

Head of AI Engineering/Architecture

Owns LLM reliability in production.

PP

Peter

Head of Delivery

12 years systems integration. AWS & ServiceM8 specialist.

TN

Tom

Head of Customer Success

Owns the 30-day outcome guarantee end to end.

02

Native software integrations

Xero

AI-driven reconciliation, expense coding and cash-flow forecasting inside your accounting workflow.

HubSpot

Auto-enriched leads, smart routing and SDR-grade reply drafts inside your CRM pipeline.

ServiceM8

Job dispatch, quote-to-cash automation and intelligent field-team scheduling.

Shopify

Customer-service auto-resolution, restock predictions and merchandising ops at scale.

Microsoft 365

Outlook triage, Teams summarisation and SharePoint document workflows on autopilot.

Salesforce

Pipeline hygiene, opportunity scoring and exec dashboards generated automatically.

PK
"We'd been quoted $180k by a Big 4 for a six-month roadmap. Waifaster delivered the same automations live in 22 days for a tenth of the cost. Our matter-intake hours dropped from 47 minutes to six."
— Managing Partner, 40-person law firm, Sydney
FAQ

Answers to the questions everyone asks on their first call.

How is Waifaster different from the Big 4 (e.g. KPMG, Deloitte, EY or PwC) AI and other consulting practices?

They sell $150k–$2M+ strategy-led engagements with governance overlays. We sell productised $5k–$60k delivery with a signed outcome guarantee. Same stack. Quarter of the cost. Ten times the speed.

How is this different from a freelance "AI agency"?

Freelancers sell prompt templates and a Zapier webhook. We build production-grade automations with error handling, training, adoption scoring, and monitoring — and we take on delivery done right.

Where does my data actually live?

Australian cloud regions by default — AWS Sydney, Azure Australia East, or Google Cloud Sydney. We can run fully self-hosted / on-prem where regulation requires. Every engagement ships with a documented data-flow diagram.

What does "outcome guarantee" actually mean?

At kickoff we jointly sign 2–3 numeric KPIs — e.g. "reduce quote turnaround from 47 min to under 10 min" or "save 15 hours/week of ops admin". If we miss, we adjust the fee pro-rata. No non-sense bs or fluffing around.

Do you build with Zapier, Make, n8n, or custom?

We pick the right tool for the job. Zapier for speed, Make for visual complexity, n8n for cost control at volume, custom Claude/OpenAI agents when the workflow needs reasoning. All built inside your existing SaaS stack.

What size of business is this really for?

Sweet spot is 10–500 staff, $2M–$200M revenue, Australian / New Zealand (ANZ) based. Sub-10 people are usually better off on off-the-shelf tools. 500+ people with heavy governance might still want a Big 4 — we often work alongside them.

Ready?

See what we'd automate in 15 minutes.

Book a no-pressure call. We'll map your top three automatable workflows live, tell you which are worth doing — and which aren't.

Book a 15-min call →
or email contactus@waifaster.com.au