Workflow Automation
Built around your stack, not a platform replacement. We connect CRM, inbox, finance, project tools and helpdesk so work moves between them automatically. Where AI judgement is needed (reading, drafting, classification), AI agents are embedded into the flow. Where it isn't, deterministic integrations handle the move.
The pattern we keep seeing.
You're paying for twelve SaaS subscriptions that should already talk to each other. The integration layer between them is a team of humans pasting details from one tab into another. Every handoff is ten minutes and one chance for the detail to slip. Multiply by 50 staff and the week's gone.
Your team is the integration layer.
Every handoff between sales and ops, ops and finance, support and sales is still a person copying details into another tab, and that person was hired to do something else.
You're paying for tools that should already talk to each other.
Twelve subscriptions, twelve data islands. The connector tax is real, and quietly drains hours every week from the staff least cheap to replace.
Zapier handles the easy bits and runs out of room.
When a step needs reading, classifying or drafting, traditional automation hits a wall. That's the wall AI inside the workflow crosses.
What is Workflow Automation?
Practical workflow automation that connects the tools you already pay for, with AI inside the steps that need reading, drafting or judgement.
Built around your stack, not a platform replacement. We connect CRM, inbox, finance, project tools and helpdesk so work moves between them automatically. Where AI judgement is needed (reading, drafting, classification), AI agents are embedded into the flow. Where it isn't, deterministic integrations handle the move.
Edison AI designs and builds workflow automation across the systems Australian SMBs already use, including CRM, helpdesk, finance and productivity tools. Where AI judgement is needed (reading, drafting, summarising), AI agents are embedded into the flow. Where it isn't, deterministic integrations handle the move. Engagements run 3–6 weeks with a 30-day optimisation window. Investment range AUD $15,000–$55,000 plus GST.
The shifts you can't postpone.
Three shifts that move workflow automation from optional to obvious this year.
- 01
AI inside automations is now production-ready.
Where Zapier needed a clean if/then a year ago, AI now reads, classifies and drafts inside the same flow. Hybrid automations are the new standard.
- 02
The cost of manual handoffs compounds quietly.
10 minutes per handoff × 50 handoffs per week × 50 staff = a hidden $250k/year drag. It doesn't show up on a P&L; it shows up in attrition and missed deadlines.
- 03
Integration debt slows growth.
The next 12 months will reward businesses that have removed it, and quietly punish those who keep adding tools without removing the seams.
What you get.
- 01
Workflow map of the current state with manual-handoff inventory
- 02
3–6 production automations built inside your existing stack
- 03
AI-vs-deterministic decision log per step
- 04
Test report against historical cases and edge scenarios
- 05
Team training + written operating standard
- 06
30-day post-launch optimisation window
Where this shows up.
Sales
Handoff
Lead → CRM → reply → calendar booking → onboarding handoff.
Where AI sits
AI drafts the reply against your house style; the rep approves and sends.
Outcome
Manual handoffs removed; reply time from hours to minutes; no dropped leads.
Operations
Handoff
Project event → status update → supplier notification → invoice trigger.
Where AI sits
AI drafts the supplier comms and the internal status; operations approves what goes external.
Outcome
Eliminates the 'did anyone tell finance?' loop that costs every business at least one delayed invoice a week.
Customer support
Handoff
Ticket → triage → reply draft → CRM update → satisfaction survey.
Where AI sits
AI inside the triage and reply steps; the agent reviews and edits before send.
Outcome
Shorter response times, consistent tone, fewer escalations.
Finance
Handoff
Invoice received → coding → approval routing → payment trigger → reconciliation.
Where AI sits
AI inside the coding and approval routing; humans approve the larger amounts and the unusual coding.
Outcome
Faster close, fewer 'we'll send the commentary tomorrow' emails.
Marketing
Handoff
Campaign event → content drafting → channel reformatting → calendar scheduling → reporting.
Where AI sits
AI inside the content and reformatting steps; marketing approves before publish.
Outcome
More output without more headcount; the brief-to-asset cycle compresses by 60–70%.
HR / people
Handoff
Application received → screening summary → interview scheduling → reference draft → onboarding trigger.
Where AI sits
AI inside the screening and reference steps; the people lead approves every outbound message.
Outcome
Hiring admin compresses to a fraction of its previous time; people leads spend hours on judgement, not scheduling.
The engagement.
- Step 01
Diagnose
Week 1: workflow map across the team's 10–20 highest-friction handoffs. Payback shortlist with time-saved estimates per workflow.
- Step 02
Design
Weeks 1–2: architecture, tool selection, AI-vs-deterministic decision documented per step before any code is touched.
- Step 03
Build
Weeks 2–5: automations constructed inside your stack with weekly iterative testing against historical cases.
- Step 04
Embed
Weeks 5–6 + 30 days: training, documentation, governance one-pager, optimisation window.
We pick tools by fit, not hype.
The right tools for your business depend on your stack, data sensitivity and team. These are the ones we most often reach for in this kind of engagement.
Integration
Maken8nZapierWorkatonative APIsAI inside the flow
Claude (Anthropic API)ChatGPT (OpenAI API)Microsoft CopilotStack integration
HubSpotSalesforcePipedriveMicrosoft 365Google WorkspaceSlackTeamsXeroMYOBNetSuiteZendeskIntercomClickUpNotionAirtable
What changes.
3–6
Manual handoffs removed per engagement.
Each with measured time-back captured in Week 1 and verified against the post-launch baseline.
30–60%
Cycle-time reduction on automated workflows.
Measured against the pre-engagement baseline; the exact lift depends on workflow complexity and the AI-vs-deterministic mix.
90 days
Typical pay-back on most builds.
When the automated workflow runs 30+ times per week. Below that volume, single-handoff builds may not earn out. Combine workflows or pair with an agent build instead.
Who this works for.
This is for you if…
- Your team is doing the integration layer manually
- You can name three handoffs that should already be automated
- You're paying for tools that should already talk to each other
- You've outgrown Zapier on workflows that need judgement
- You want AI inside the workflow only where it earns its place
- You're comfortable with a 3–6 week engagement, not a 6-month transformation
Not the right fit yet if…
- You have no defined workflows at all (start with an AI Readiness Audit)
- You want a full platform replacement (this isn't that)
- You expect AI to fix processes that humans don't yet understand
How this compares.
Five common alternatives to a workflow automation engagement. One ships handoffs you can actually point to.
DIY in Zapier / Make.com
- Gives
- Cheap, fast for simple flows
- Falls short
- Hits a wall on judgement steps; nobody owns the build
- Edison difference
- Edison combines deterministic + AI where each fits
Hire a Zapier freelancer
- Gives
- Affordable hourly
- Falls short
- Tool-centric, not workflow-centric. Solves the symptom
- Edison difference
- Strategy-led; tool choice follows the workflow
Buy a workflow SaaS (Process Street, Pipefy)
- Gives
- Out-of-the-box templates
- Falls short
- Locked-in, generic, doesn't fit your stack
- Edison difference
- Built around your existing stack, no lock-in
Big consultancy 'process automation'
- Gives
- Brand-credible
- Falls short
- Six figures, slow, junior handover
- Edison difference
- Boutique, 3–6 weeks, fixed-fee
Wait for your team to build it
- Gives
- 'Free' (internal)
- Falls short
- Never finishes; competing priorities
- Edison difference
- Senior architect ships it in 4 weeks
Edison AI
Operator-grade, founder-led, fixed quote. Built around your real stack and workflows , not a binder, a brochure, or a six-figure off-the-shelf programme.
What buyers ask first.
“We already use Zapier.”
Keep it. We extend it. Zapier handles deterministic steps brilliantly; we add AI where the workflow needs judgement. The two work together, not in competition.
“What if our tools change?”
Automations are documented in plain language and built modularly. Replacing one tool doesn't require rebuilding everything. The governance one-pager handles the swap.
“Will our team understand the flows after you leave?”
Yes. Documentation, training and the governance one-pager are part of the deliverable. We don't leave you dependent on us. That's the deal.
Common questions.
What's the investment range for workflow automation in Australia?
$15,000–$55,000 plus GST depending on the number of workflows, integrations and AI complexity. Most first engagements land in the $25,000–$40,000 band.
How long does workflow automation take to build?
3–6 weeks plus a 30-day optimisation window. The diagnostic + design phases run roughly two weeks; the build runs three; deploy and embed close the final week.
What automation platforms do you build on?
Whichever fits the workflow. Make, Zapier, n8n, native APIs, custom code. Tool-agnostic; selection follows the workflow, not the vendor relationship.
What integrations are supported?
HubSpot, Salesforce, Pipedrive, Microsoft 365, Google Workspace, Slack, Teams, Xero, MYOB, NetSuite, Zendesk, Intercom, ClickUp, Notion, Airtable, Shopify, WooCommerce, and most modern SaaS via API. If it has an API, we can connect it.
Will this replace our Zapier setup?
No. We extend it. Zapier handles deterministic steps brilliantly; we add AI where the workflow needs judgement. Keep what works; replace nothing for the sake of it.
What's the difference between this and AI Agents?
AI Agents is a single intelligent worker handling one workflow end-to-end. Workflow Automation is the plumbing between systems, with AI inside specific steps where judgement matters. Most engagements combine both.
Who owns the automations after launch?
You do. Documentation, access keys, and the governance one-pager are yours. We do not retain admin rights or vendor lock-in.
What about ongoing maintenance?
Optional retained fractional support after the 30-day optimisation window. The standard maintenance protocol is handed over with the build so your in-house team can run it.
The same service creates different leverage depending on your industry.
- Finance & InsuranceDocuments, compliance, follow-ups, pipeline. The four corners where margin leaks.
- Manufacturing & WholesaleInventory, suppliers, quotes, margin. The operating layer most SMBs are missing.
- Real Estate & PropertyMaintenance, owner comms, inspections, portfolio reporting. Without the admin tax.
- Trades & Field ServicesThe field-to-office gap, finally closed. Quotes, schedules, jobs, customers, in sync.
- Retail & EcommerceSupport, content, inventory, performance. The operating side of D2C.
- Health & Allied ClinicsAdmin relief and patient communication. Privacy-first.
Other implementation services.
- S02
AI Agents
Custom-built AI agents that handle the repetitive parts of a workflow: qualifying leads, drafting replies, updating records and chasing follow-ups, with a human in the loop wherever judgement matters.
Learn more - S05
Bespoke AI Systems
Multi-agent AI systems that plan, coordinate and execute across operations.3–7 agents working in coordination with documented handoffs and human approval gates, built inside your existing stack.
Learn more - S06
Operating Dashboards
A custom operating dashboard that pulls the numbers and signals you care about from your existing systems, summarises them in plain English, and tells you what changed since last week.
Learn more - S04
AI Marketing & Search Visibility
One content + citation engine that gets you found by Google and cited by AI, so your business shows up in both surfaces where buyers now search, and the work compounds every month.
Learn more - S01
AI Readiness Audit
A practical audit of your workflows, tools, bottlenecks, and team capability to identify the highest-return AI opportunities.
Learn more