AI Inbox Chief
Triage, draft, route, and escalate email before the day starts.
- Flags urgent customer and revenue threads
- Drafts replies in your voice for approval
- Turns loose email into Trello or CRM actions
Managed AI employees for legacy businesses
AI Employees as a Service
Hire a managed AI employee for $5K/month that clears executive open loops, follows up with leads, updates your systems, and gets better every week.
Built, monitored, secured, and improved for you.
$5K/mo
Flat retainer
1-3
AI roles
30 days
Pilot to proof
Companies our team has worked with
The offer
You are not buying software. You are hiring capacity.
Most AI projects ask the business owner to become the product manager. This offer removes that burden. We package the strategy, build, tools, monitoring, support, and iteration into one managed AI employee.
Role-based
AI Inbox Chief, Follow-Up Closer, AI Ops Manager, or another named business role.
$5K/month flat
Unlimited agents and usage inside the role, plus support and ongoing changes.
Less than a hire
Headcount-style outcome pricing without recruiting, payroll, benefits, or tool sprawl.
Managed daily
We monitor failures, tune prompts, update workflows, and keep the employee useful.
Where the first win comes from
Start with executive open loops. Then add vertical workflows.
The fastest payback is usually not a moonshot. It is the repeat work that already costs you attention every day.
Executive inboxes that never reach zero
Leads that wait hours for a useful reply
Meeting notes that never become next steps
CRM fields, reports, and handoffs nobody trusts
Recurring client updates that depend on memory
Knowledge trapped in SOPs, docs, and old threads
Role menu
Pick the first employee by business outcome.
We avoid abstract agent language in front of the buyer. The work is scoped like a hire: role, responsibilities, tools, escalation rules, and success metrics.
AI Follow-Up Closer
Chases open loops until the next step is scheduled or logged.
- Finds stale opportunities and unanswered asks
- Writes personalized nudges
- Logs status, owner, and next action automatically
AI Ops Manager
Runs repetitive back-office workflows without pulling your team away.
- Creates weekly reports and status summaries
- Checks task boards for blocked work
- Moves data between the tools you already use
AI Knowledge Assistant
Answers questions from your SOPs, docs, emails, and internal notes.
- Searches your approved source material
- Cites the document or thread behind the answer
- Spots missing SOPs before they become repeat questions
AI Lead Intake Rep
Responds fast, qualifies the buyer, and books the right next step.
- Captures need, budget, timeline, and fit
- Routes high-intent leads to a human
- Keeps every inquiry from slipping through the cracks
AI Campaign QA
Reviews campaigns, client deliverables, and launch checklists before humans do.
- Checks links, copy, naming, and required assets
- Compares deliverables against client SOPs
- Summarizes issues in a clean approval queue
Included in the retainer
Remove the buying objections before they appear.
No seat math. No token anxiety. No surprise support bill. The offer is simple because the buyer wants outcomes, not a new platform to administer.
Unlimited agents and usage inside the agreed business role
Monitoring, support, security review, and ongoing changes
One customer workspace with isolated cloud computers for each role
A structured company vault for people, SOPs, inbox rules, and agent notes
Trello board, Loom updates, kickoff call, and weekly office hours
Integrations with inboxes, calendars, CRMs, docs, task boards, and internal tools
Watchdogs, failure alerts, daily heartbeat logs, and weekly reliability reviews
A clear scope cadence: 1-2 improvement requests every 48 hours
Best-fit verticals
Built for businesses with clear pain, budget, and speed-to-yes.
We focus on legacy verticals where daily operational friction is visible and the first role can be proven quickly.
Marketing agencies
Campaign QA, client reporting, inbox triage, lead follow-up, creative handoffs.
Law firms
Lead intake, document lookup, meeting follow-ups, matter status updates. Not legal advice.
Insurance agencies
Renewal nudges, quote follow-up, policy lookup, pipeline cleanup, service reminders.
Manufacturers
Vendor follow-up, SOP lookup, order-status summaries, production reporting.
Wholesalers and distributors
Customer response drafts, inventory questions, reorder nudges, invoice workflow checks.
Real estate teams
Lead response, showing follow-up, listing document prep, client status summaries.
30-day pilot plan
From first call to first AI employee in the business.
The launch path is designed to prove one role, then compound into a reliable operating system.
Week 1
Map the open loops
We run a 60-minute kickoff, review your inboxes, tools, SOPs, and recurring work, then choose the first AI employee role.
Week 2
Deploy employee one
We stand up the workspace, connect the tools, ship the first role, and send Loom updates so your team can see what changed.
Week 3
Layer the vertical workflow
We add the business-specific workflow: lead intake, campaign QA, renewal nudges, document Q&A, or operations reporting.
Week 4
Harden reliability
We add watchdogs, alerts, daily heartbeats, baseline metrics, and the first case-study-ready before and after numbers.
Reliability model
We fix agent failures before customers have to find them.
AI employees need management. We run them in isolated workspaces, watch the jobs, review the alerts, and keep a weekly improvement rhythm so the system does not drift into demo-only theater.
Ops console
Daily employee health
Cloud computer per AI employee, so one workflow cannot take down another
Email alerts on failed scheduled jobs, gateway crashes, and broken tool calls
Daily heartbeat log with last action, last success, and outstanding blockers
Weekly reliability review covering uptime, escalations, restored sessions, and next fixes
Simple commercial terms
Start with one role. Keep the parts that earn their keep.
The normal engagement is a $5K/month managed retainer. For buyers who need a smaller first step, we can scope a paid proof that proves one workflow before the full monthly employee starts.
Managed AI employee
$5K
per month, flat retainer
- Month-to-month with 30-day notice
- Typical first customer setup: 1-3 AI employees
- Optional 2-week paid proof when the first workflow is narrow
Buyer questions
Clear answers before the sales call.
Is this just a chatbot?
No. A chatbot waits for a prompt. An AI employee owns a role, watches for work, takes action in your tools, escalates when needed, and improves through a managed operating rhythm.
What does the $5K/month include?
The role design, build, cloud workspace, agent usage, monitoring, support, security checks, ongoing changes, weekly updates, and reliability reviews are included.
Do we need clean data first?
Usually no. We start with the messy places where the work already happens: inboxes, calendars, docs, CRMs, task boards, spreadsheets, and SOPs.
Who is not a fit right now?
Early deployments are best outside heavy healthcare and finance compliance workflows unless you already have governance, approvals, and security requirements clearly documented.
Ready to hire the first AI employee?
Bring one messy workflow. We will turn it into a role, a rollout, and a clear go or no-go plan on the call.