01
A named AI employee, not a flow library
You hire a role for one workflow. The operator builds, runs, and tunes everything behind it. No platform sprawl, no flow inventory.
Low-code workflow automation
Low-code workflow automation that ships the work, not just the builder
Low-code workflow automation usually sells a builder — visual flows, drag-and-drop, click-to-deploy. Then somebody on your team has to learn it, build it, maintain it, and chase prompts when the work shifts. Rebotify replaces the build-it-yourself loop with a managed AI employee that does the work directly, live in 48 hours.
Mia is our AI employee. Email her — she’ll book your 15-minute call. That’s the demo.
48h
To first drafts in the approval queue.
0
Flows your team builds or maintains.
1
Named AI employee — operated end-to-end by Rebotify.
48-HOUR BUILD
What Rebotify ships first.
02
Operating playbook in plain language
The rules, examples, edge cases, and escalation paths are written as a readable document — not a visual canvas your auditors cannot parse.
03
Tool change handling
When the CRM adds a field, the email API deprecates an endpoint, or the policy team updates a rule, the operator handles the change inside the engagement.
04
Weekly tuning rhythm
Misses, edge cases, and policy updates become new rules and examples in the playbook every week — owned by the operator.
BUYING SIGNALS
Use it when the work is already costing time.
The low-code platform needs a builder team
You bought the platform expecting "anyone can build it." Six months in, one or two engineers have become the bottleneck for every change.
Flows go stale after the builder leaves
The original builder leaves, changes role, or gets pulled to a new priority. The flow keeps running but nobody understands it.
Compliance and audit are painful
Reviewing what the platform actually does on customer data requires reading drag-and-drop graphs nobody on the audit team can read.
HUMAN CONTROL
The AI employee prepares the work. People keep judgment.
Human approval on sensitive work
Customer-facing, legal, financial, and out-of-pattern decisions pause in the queue until a named human signs off.
Auditable in plain text
The playbook, audit trail, and decision logs are readable by compliance — not just by whoever drew the original flow.
Scoped tool access
The AI employee gets only the permissions the workflow needs. Access can be revoked any day, same day.
FIRST WEEK PLAN
What a clean first week actually looks like.
Choose another workflow if
- You have a dedicated automation team you want to give a flow-builder to.
- You want to license a low-code platform and resell it inside your organisation.
- You only need one or two flows ever and a single junior analyst can own them.
A good first week looks like
- No one on payroll is building, debugging, or versioning a flow this quarter.
- New workflows land in production through the operator, not through a builder team.
- When an upstream tool changes, the operator handles the migration — not your staff.
EXAMPLE WORKFLOWS
The kind of work it takes on first.
First-pass document checks
Invoices, contracts, or applications get reviewed against a written rubric — flags and summaries land in the queue, not a flow nobody can audit.
Inbox triage and reply prep
Customer email reads, classifies, and drafts inside Gmail or Outlook — the AI employee is the actor, the playbook is the spec.
Internal request handling
Approval requests, finance forms, or IT tickets get triaged, validated against policy, and routed — managed by the operator end-to-end.
Runs inside
The employee works in the systems your team already uses — no new dashboard to log into.
- Gmail
- Outlook
- Slack
- HubSpot
- Salesforce
- Notion
- Google Drive
- Microsoft Teams
FAQ
Final buying questions.
What will Rebotify take off the team first?
Low-code platforms still require someone on your team to build, test, version, and maintain every flow. A managed AI employee does the work instead of you building a flow that does the work — Rebotify owns the prompts, integrations, and tuning so your team owns approvals, not the platform.
Who is Low-code workflow automation best for?
Low-code workflow automation is best for operators and IT leaders who have rejected DIY-platform sprawl with a repeated workflow, a clear human owner, and enough examples to teach the AI employee what good work looks like.
What does Rebotify deliver in the first 48 hours?
Rebotify maps the workflow, writes the first operating playbook, connects the minimum tools, and puts useful drafts, checks, or summaries into a human approval queue.
Do humans still approve the work?
Yes. Rebotify normally starts with human approval for customer-facing, financial, legal, or policy-sensitive actions. The AI employee prepares the work and escalates uncertainty.
AI automation services
AI automation services for one workflow at a time
AI automation services for SMB and middle-market teams. Rebotify builds and runs one managed AI employee, live in 48 hours.
Managed AI
Managed AI for teams that want the work done, not the platform
Managed AI from Rebotify — a named AI employee for one workflow, operated, tuned, and reviewed weekly. Live in 48 hours. Cancel any time.
Business process automation services
Business process automation services for one expensive loop
Business process automation services for SMB and middle-market teams. Start with one workflow, approvals, and weekly tuning.
Workflow automation consultant
Workflow automation consultant who ships the first pilot
Workflow automation consultant for SMB and middle-market teams. Pick one workflow, map controls, ship an AI employee.
48-HOUR START
Bring us one workflow. Leave with a 48-hour plan.
Email Mia
Mia is our AI employee. Email her — she’ll book your 15-minute call. That’s the demo.