AI Agents
Custom AI agents that finish the work your team starts. Built around the workflow you already run, governed by the team you already trust, and mapped to the Edison Autonomy Ladder (assisted → copilot → autopilot → self-driving) so you can pick the right rung deliberately.
The pattern we keep seeing.
A leader pays for premium AI seats, watches one or two team members write good prompts, and watches everyone else carry on copying details between tabs. The senior people are still doing the lowest-leverage work. Six months in, the productivity bump is real for three staff and invisible for thirty.
Your best people are doing your worst-leverage work.
Senior staff are still copying details between systems, drafting follow-ups and chasing replies, all tasks AI handles in 30 seconds when it's wired in properly.
The same task happens 50 times a week, slightly differently every time.
Every rep has a personal way of writing a follow-up. Every coordinator has a personal way of updating the CRM. Quality drifts. Output is inconsistent. The standard is invisible.
Zapier connects tools, but it doesn't think.
When the task needs reading, judgement or drafting, traditional automation hits a wall. That's the wall the agent crosses.
What is 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.
Custom AI agents that finish the work your team starts. Built around the workflow you already run, governed by the team you already trust, and mapped to the Edison Autonomy Ladder (assisted → copilot → autopilot → self-driving) so you can pick the right rung deliberately.
Edison AI builds custom AI agents for Australian SMBs. Common builds include lead qualification, CRM enrichment, reply drafting, document summarising, status reporting and ticket triage. Each agent is mapped to one of four autonomy levels (assisted, copilot, autopilot, self-driving), governed by a documented approval gate and embedded inside the team's existing stack: HubSpot, Salesforce, Pipedrive, Microsoft, Google, Slack, Zendesk and Intercom. Typical engagement is 4–8 weeks plus a 60-day optimisation window.
The shifts you can't postpone.
Three reasons to commission an agent this quarter, not next.
- 01
Agentic AI is now production-ready for SMB workflows.
What needed an engineering team in 2024 is a 4–8 week build in 2026. The tooling has caught up with the use case.
- 02
Your competitors are already running agents.
Quietly. In their CRM, their inbox, their support queue. Most don't talk about it. All of them are pulling ahead on hours-per-task.
- 03
The economics flipped.
A single agent running 50 times a week pays for itself inside three months on most workflows we build. The model cost is the smallest line on the spreadsheet.
What you get.
- 01
Workflow + autonomy mapping document
- 02
Built AI agent inside your existing stack (HubSpot, Salesforce, Microsoft, Google, Slack)
- 03
Approval gate and escalation map
- 04
Prompt set + knowledge connection
- 05
Test report against 20+ historical cases
- 06
Team training + written operating standard
- 07
Governance one-pager
- 08
60-day post-launch optimisation window
Where this shows up.
Sales
Pain
Inbound enquiries queue while reps catch up; follow-ups slip; senior reps end up doing first-pass triage.
Agent
Lead Qualifier Agent. Qualifies against your ICP, drafts a tailored reply, creates the CRM record, schedules the follow-up.
Outcome
Reply time from hours to minutes. No dropped leads. Senior reps spend their time on relationships, not data entry.
Customer support
Pain
Ticket queue grows faster than the team. Tone drifts. New joiners take six weeks to sound like the brand.
Agent
Reply Drafter Agent. Drafts replies against your knowledge base in your tone, classifies sentiment, routes complex cases.
Outcome
Shorter response times, consistent voice, fewer escalations, without losing the human review gate.
Operations
Pain
Monday-morning scramble pulling status from six tools. Leadership update written under pressure.
Agent
Status Summariser Agent. Produces the weekly status from your project tool, surfaces blockers, drafts the leadership update.
Outcome
Stand-ups start with a shared picture, not a scramble.
Marketing
Pain
Every channel asset rewritten by hand. Brief-to-asset cycle is long. Brand drift is real.
Agent
House-Voice Drafter Agent. Turns one brief into copy, headline variants, social posts and email subject lines in your voice.
Outcome
3× more output per brief, voice intact, the senior writer's time on judgement instead of typing.
Finance
Pain
Month-end commentary takes the senior accountant a full day.
Agent
Commentary Agent. Drafts from the report data and the prior month's narrative; finance reviews and signs off.
Outcome
Faster close, sharper commentary, the CFO reading rather than rewriting.
Knowledge / internal Q&A
Pain
Same questions answered repeatedly. New joiners drown. Senior staff are the help desk.
Agent
Policy Answerer Agent. Answers from your policies, SOPs and product docs with citations back to the source.
Outcome
Less repeated-question burden on managers. Faster onboarding for every new hire after.
The engagement.
- Step 01
Diagnose
Week 1: pick the workflow. Map the current process. Define success metrics against the human-baseline benchmark.
- Step 02
Design
Weeks 1–2: autonomy level, approval gates, escalation paths, stack integrations. Written before any code is touched.
- Step 03
Build & test
Weeks 2–6: agent constructed inside your stack, then run against 20+ historical cases. Edge cases identified and tuned before any live customer is touched.
- Step 04
Deploy & embed
Weeks 6–8 + 60 days: phased rollout, team trained on the approval flow, written operating standard handed over, 60-day optimisation window included.
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.
Orchestration
Maken8nZapierRelevance AILindyModels
Claude (Anthropic API + Teams)ChatGPT (OpenAI API + Enterprise)Microsoft CopilotGeminiStack integration
HubSpotSalesforcePipedriveMicrosoft 365Google WorkspaceSlackZendeskIntercom
What changes.
40–80%
Of agent-targeted task hours removed.
Measured against the human-baseline benchmark captured in Week 1. The exact rung depends on workflow volume and complexity.
90 days
Typical pay-back when the workflow runs 30+ times a week.
Across model cost, platform usage and Edison build fee. Below 30 runs/week, single-agent builds may not earn out on their own. Pair with a system build instead.
One workflow handed over fully governed.
Owner, approval gates, escalation path, written standard, all in place at launch. Not a black-box you have to call Edison every time to change.
Who this works for.
This is for you if…
- You can name the workflow that's costing you the most repeatable hours
- You're already paying for a CRM, helpdesk or workflow tool, and want AI inside it, not next to it
- You want a human in the loop where judgement matters, not full autonomy on day one
- You're prepared to spend 4–8 weeks getting it right, not 4 days getting it 'live'
- You want to own the standard, the prompts and the governance after we leave
- You value people who already bear the scars of building this in production, not theory
Not the right fit yet if…
- You haven't decided what success looks like for this workflow
- You want an off-the-shelf SaaS feature rather than a tailored build
- You're not ready to commit a function lead and an executive sponsor
How this compares.
Six common alternatives to a custom agent build. One of them ships a workflow you own end-to-end.
Zapier / Make.com workflow
- Gives
- Cheap, fast for if/then logic
- Falls short
- No reading, no drafting, no judgement
- Edison difference
- Edison agents draft, read and judge, with a human gate
Out-of-the-box SaaS AI feature
- Gives
- Quick to enable
- Falls short
- Generic, doesn't fit your workflow, locked to one vendor
- Edison difference
- Custom build sitting inside your existing stack
Hire a freelance AI developer
- Gives
- Cheaper hourly
- Falls short
- No methodology, no governance, capability walks if they leave
- Edison difference
- Founder-led, productised methodology, governance documented
Big consultancy build
- Gives
- Brand-credible
- Falls short
- Six figures, slow, often over-engineered
- Edison difference
- Boutique, fixed-fee, 4–8 weeks
Wait until the tools mature further
- Gives
- 'No regret'
- Falls short
- Eight to twelve months of compounding gap your competitors don't take
- Edison difference
- Action this quarter; the tools are production-ready now
Build internally with a junior
- Gives
- Affordable
- Falls short
- No senior judgement on autonomy and gates
- Edison difference
- Edison defines the architecture; can co-build with your team
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.
“What if the agent gets it wrong in front of a customer?”
Every customer-facing agent ships with an approval gate. The agent drafts; a human approves before sending. We only remove the gate when accuracy passes a documented threshold, agreed with you.
“We've already tried ChatGPT. Why hire someone?”
ChatGPT is a tool. An agent is a system: a defined workflow, a knowledge base, an approval gate, an integration into your stack and a governance standard. The two are different categories.
“Will this replace our staff?”
No. The roles that compound after AI agent rollout are the ones who learn to design and review them. Most engagements increase capacity, not headcount cuts.
Common questions.
What's the investment range for an AI agent build in Australia?
$18,000–$65,000 plus GST per agent depending on complexity, integrations and autonomy level. Most first agents land in the $25,000–$40,000 band.
How long does it take to build an AI agent?
4–8 weeks from kick-off to live, plus a 60-day post-launch optimisation window. The diagnostic + design phase is roughly 2 weeks; the build phase is 4 weeks; deploy + embed is the final 2.
How is an AI agent different from a Zapier automation?
A Zap is a fixed pipeline. An agent makes decisions. It reads context, picks the right action, drafts content, escalates to a human when uncertain. We use Zapier or Make as plumbing where it makes sense; the intelligence lives in the agent.
What tools do agents run on?
Claude, ChatGPT (Enterprise or Team), Microsoft Copilot, Anthropic API, OpenAI API or your private cloud. Tool choice depends on data sensitivity and existing licences.
What integrations are supported?
HubSpot, Salesforce, Pipedrive, Microsoft 365, Google Workspace, Slack, Zendesk, Intercom, ClickUp, Notion, Airtable, Xero, MYOB, and most modern SaaS via API. If it has an API, we can connect it.
Will the agent make mistakes?
Sometimes. That's why we design human-in-the-loop checkpoints for anything customer-facing or financially material. The goal is not zero errors. It's the right human review at the right moment.
Do we keep ownership of the agent?
Yes. The prompts, the architecture and the operating standard are yours. No vendor lock-in, no proprietary platform to migrate off later.
Do we need an AI policy first?
Strongly recommended. We pair agent builds with the responsible-AI training or the agentic operating model engagement when needed. Usually before the build kicks off, sometimes alongside.
What happens after the agent goes live?
60-day optimisation window. Monitoring, tuning, edge-case handling and a final tune-up review. Most clients commission a second agent within 90 days of the first going live.
What if Zapier already does the job?
Then Zapier already does the job. Keep it. We only build agents where reading, drafting or judgement is required.
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.
- 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 - S03
Workflow Automation
Practical workflow automation that connects the tools you already pay for, with AI inside the steps that need reading, drafting or judgement.
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