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Workflow map and role spec
A written job description for the AI employee: triggers, inputs, outputs, sign-off points, and edge cases — agreed before tools are wired.
Most AI automation agencies hand over a tool and a slide deck. Rebotify hands over a named AI employee that drafts, checks, follows up, and escalates inside the tools your team already opens — managed end-to-end, week by week.
Mia is our AI employee. Email her — she’ll book your 15-minute call. That’s the demo.
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A written job description for the AI employee: triggers, inputs, outputs, sign-off points, and edge cases — agreed before tools are wired.
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A named role doing the work inside your stack — drafts, checks, follow-ups, summaries — instead of a dashboard for your team to operate.
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Drafts and decisions surface in the inbox, CRM, or doc tool the team already uses for review — no new login.
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We review misses, update the playbook, tighten prompts, watch the metrics, and report what changed each week.
Pitches arrive heavy on AI maturity models and light on what the team actually receives in week one.
A vendor built something clever, then the team had to maintain prompts, fix integrations, and chase quality on their own.
Operators want the work done, not another platform to learn, staff, or governance-board.
The employee gets only the tool permissions the workflow needs. Anything outside scope is escalated, not improvised.
Customer-facing, legal, financial, and out-of-pattern decisions stop in the queue until a named human approves.
Month-to-month engagement. The role spec, playbook, and audit trail stay with you if the engagement ends.
Reads inbox and Slack overnight, drafts replies for the morning queue, and flags anything that needs an owner.
Compares incoming contracts to the customer playbook, flags missing or unusual clauses, and routes the decision.
Pulls numbers from CRM, billing, and product analytics; explains movement; drafts the recap for the account manager to sign off.
The employee works in the systems your team already uses — no new dashboard to log into.
An AI automation agency is most useful when the deliverable is a named role with a queue you can inspect, not a deck of opportunities. Rebotify scopes one workflow, wires it into existing tools, and owns the operational loop after launch.
AI automation agency is best for operators choosing between an agency, a platform, and a hire with a repeated workflow, a clear human owner, and enough examples to teach the AI employee what good work looks like.
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.
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 SMB and middle-market teams. Rebotify builds and runs one managed AI employee, live in 48 hours.
Business process automation services
Business process automation services for SMB and middle-market teams. Start with one workflow, approvals, and weekly tuning.
AI workflow automation services
AI workflow automation services for one stuck process: map it, wire tools, create approvals, and tune weekly.
Workflow automation consultant
Workflow automation consultant for SMB and middle-market teams. Pick one workflow, map controls, ship an AI employee.
Mia is our AI employee. Email her — she’ll book your 15-minute call. That’s the demo.