Strategy consultancy
Reviews how your business could use AI, compares opportunities and recommends a plan. Useful when leaders need to agree priorities before building anything.
Rebotify sets up and runs an AI employee for one recurring task, such as preparing replies, documents or customer summaries.
Your team approves customer-facing and sensitive work.
First prepared work is ready for review within 48 hours of our setup meeting, with the task agreed and required access ready.
We manage the service, with weekly reviews.
Tell us which task your team repeats and what you would like to improve.
Our team will reply within one business day.
Most companies shopping for “an AI agency” are quietly trying to choose between three different service models. The pitches sound similar; the deliverables are not.
Reviews how your business could use AI, compares opportunities and recommends a plan. Useful when leaders need to agree priorities before building anything.
Builds a specific AI product or feature, including the models and tool connections it needs. Useful when your team can run and maintain the finished software.
Prepares one recurring task in your existing tools. The provider manages the system, while your team approves customer-facing and sensitive work.
WHEN EACH WORKS
All three models are legitimate. The honest test is what you need this engagement to leave behind.
Leadership needs a written plan before commitments are made. A board is asking for an AI roadmap. The work is agreeing priorities, estimating value and preparing the organisation for change.
You need a specific product, feature or connection built, and have a team to run and maintain it after delivery.
You want the work done (drafts in the queue, decisions ready for approval, follow-ups chased) without staffing a builder, debugger, or platform admin. You hire a role; we run everything behind it.
SIDE BY SIDE
The three categories evaluated on what each one actually leaves on your team’s plate after the engagement.
| Dimension | Strategy consultancy | Custom AI development | Rebotify Managed AI employee |
|---|---|---|---|
| Primary deliverable | Strategy deck and roadmap | Custom build, then handover | A named AI employee doing one workflow |
| Time to useful output | Weeks of discovery before any build | Months for first usable build | 48 hours from our setup meeting to reviewable work, with one task agreed and access ready |
| Who operates it after launch | Your team (after the plan lands) | Your team (after handover) | Rebotify, with ongoing management and weekly reviews |
| What stays with you | A written plan | The build itself | Role setup, written instructions and audit trail |
| Pricing shape | Consultant time-and-materials | Project fixed-bid or T&M | Per-workflow, flat, per task, or by outcome |
| When the work shifts | Out of scope; new engagement needed | Out of scope; change-order or new project | We update the service as part of ongoing management and weekly reviews |
| Cancellation | Project ends naturally | Build ends; ongoing maintenance separate | Month-to-month engagement |
Choose one recurring task, such as sorting enquiries, preparing documents or summarising customer records. We agree what the AI employee prepares and who reviews it, then manage the service and its weekly improvements.
We document what starts the task, the information it needs, what it prepares and who reviews it before work begins.
A named role doing one workflow inside the tools your team already opens. Rebotify manages the AI models, instructions, tool connections and system that runs the work.
Drafts and suggested next steps arrive in your inbox, CRM or documents for your team to review.
We review mistakes, unusual cases and policy changes each week, update the written instructions and report on quality and unfinished work.
The AI employee shape is the same; the role, vocabulary, sign-off points and tools differ by sector. Three engagements are proven in production today, energy-sector legal drafting, higher-education enquiry response, and telco chat triage. The roles below apply that same operating model to other mid-market verticals we build for.
Accounting firms
Missing-document follow-ups, bank reconciliation issues, invoice-coding checks, and BAS and month-end report preparation.
Read the pageReal estate agencies
Maintenance requests sorted, contractor arrival times checked, tenant updates and summaries for owner approval.
Read the pageLegal teams
Matter details, missing-document follow-ups and information for a lawyer to check conflicts and review the enquiry.
Read the pageLaw firm front desk
After-hours calls, web enquiries, consultation booking prep, transcripts, and matter handoff, no legal advice without sign-off.
Read the pageInsurance brokers
Renewal inbox triage, client and carrier chases, policy deltas, broker review packs.
Read the pageHealthcare practices
Referral summaries, missing-document follow-ups, eligibility questions and information for the team handling the appointment.
Read the pageFinance teams
Month-end close prep, variance commentary drafts, AP exception triage, board-pack assembly.
Read the pageHR & recruitment
CV screening drafts, candidate updates, interview scheduling, onboarding chase.
Read the pageMarketing teams
GA4, GSC, ads, SEO notes, project updates, and account follow-up in one report draft.
Read the pageConstruction & trades
Quote-request status, subcontractor follow-ups, drawing revisions and proposed changes prepared for review.
Read the pageFront desk
Email intake triage, voicemail transcription, intake-form processing, calendar booking.
Read the pageExecutive ops
Inbox triage, pre-meeting briefings, follow-up chasing, weekly status synthesis.
Read the pageEach workflow page describes one bounded operation: triggers, deliverables, sign-off points, tools the employee runs inside. Useful when you already know the work you want handled.
Support
Ticket triage, drafted first responses, escalation flags, policy-safe routing.
Read the pageRevenue ops
Activity logging, follow-up queue, account brief prep, deal anomaly flags.
Read the pageFinance ops
Inbox-to-system intake, vendor matching, exception flagging, approval routing.
Read the pageEcommerce
Support triage, abandoned-cart drafting, return triage inside Shopify and Klaviyo.
Read the pageRebotify is headquartered in Melbourne, Victoria. The AI employee lives inside your tools regardless of where your team sits, onboarding calls, weekly tuning, and account reviews are scheduled in working hours that suit you.
Melbourne headquarters, with setup and review calls arranged for Australian and New Zealand business hours.
Asynchronous engagement with scheduled calls: typically Sydney mornings (US east-coast late afternoon) or evenings (west-coast morning). Drafts move overnight.
Asynchronous engagement with scheduled calls in the London afternoon (Melbourne late evening). Tuning happens between time zones, not against them.
Written-first, async-friendly. Calls scheduled to your working hours. The work itself runs continuously, your team approves on their schedule.
FAQ
An AI agency is a service business that helps another business apply AI to its operations. The three common shapes are strategy consultancy (plans and decks), dev shop (custom builds), and managed AI employee service (a named role doing the work end-to-end). Each is legitimate for a different buying problem.
Three case studies, each scoped to what it proves and nothing broader. A tier-1 Australian energy retailer runs a drafting assistant that assembles first-draft contracts and regulatory filings from a precedent library, proof of first-draft legal assembly with human sign-off, not proof of small-firm intake. A leading Australian higher-education provider runs a course advisor handling first-touch enquiries with deep, customised replies, proof of context-aware first-response drafting, not admissions or credit decisions. A national telecommunications carrier runs a chat triage officer across roughly a thousand chats a day, holding 60–70% containment with re-contact rate flat, proof of high-volume support triage, not billing or account changes. Read the full write-ups on the case studies page.
A strategy consultancy delivers a plan; you still need to staff the build and operate it. A managed AI employee service delivers the work itself, an AI role preparing drafts, flagging decisions for approval and asking for human help in your existing tools. No internal build or operating team required.
Dev shops typically scope a project, build, hand it over, and exit. Rebotify scopes one recurring workflow and stays in the loop: we own the model, prompts, integrations, and weekly tuning after launch. You approve work; we run the system.
First prepared work is ready for your team to review within 48 hours of our setup meeting, with one recurring task agreed and the required tool access ready. This covers the first prepared work, with human approval for customer-facing and sensitive tasks.
Yes, and many enterprises do. A strategy consultancy sets the program; a managed service like Rebotify operates one workflow; a dev shop builds the bespoke product piece. The three roles compose; the trap is paying all three for the same job.
Ask what work you will receive, who manages the service, what your team must approve and when a person steps in. Check the data access, ongoing reviews and costs before agreeing to start.
Per workflow, not per consultant-hour. Choose flat monthly, per-task, or by outcome, month-to-month. Most general workflow plans carry no setup fee; vertical intake plans that need scripts, routing, and handoffs built up front can include one.
Yes. The role setup, operating notes, audit trail, and agreed escalation paths are yours to keep. Access to the managed system is revoked the same day you cancel.
Tell us which task your team repeats and what you would like to improve.
Our team will reply within one business day.