Examples of what
we've built.
This is not a catalogue. These are simply the roles we're asked for most often, shown so you can see what a finished AI employee looks like. Every one we build is designed from scratch around your business, and most of what we build is a role that isn't on this page at all.
Maya · AI Receptionist
Every call answered on the first ring, at 3am, on a public holiday, during your busiest hour.
The role most businesses underestimate. A missed call is a lost customer who rings your competitor ninety seconds later, and voicemail has a callback rate close to zero. This employee holds the switchboard.
- Answers inbound calls, identifies the caller, captures why they rang
- Qualifies against the criteria you set, in your tone of voice
- Books appointments directly into the right calendar
- Routes anything outside its remit to a named human, with context
- Writes every interaction back to your CRM before it hangs up
- Handles overflow when your team is already on the phone
Typically measured on
- Calls answered vs. abandoned
- Average time to answer
- Qualified appointments booked
- Routing accuracy
- Escalation rate
- Cost per handled call
Commonly connects to
Phone system, calendar, CRM, ticketing, SMS, and whatever booking tool you already run.
Alex · AI Customer Service Employee
Reads the request, finds the answer, resolves it, and knows exactly when not to.
Most support volume is the same forty questions wearing different clothes. This employee clears those completely so your people only see the ones that genuinely need a person.
- Monitors the shared inbox, chat queue and ticket backlog
- Looks up the customer, the order, the history, the entitlement
- Resolves routine requests end to end and closes the ticket
- Drafts a reply for review when it isn't certain
- Escalates real exceptions with the research already done
- Refuses to invent a policy it was never given
Typically measured on
- First-contact resolution rate
- Autonomous resolution share
- Median response time
- Escalation correctness
- Customer satisfaction
- Cost per resolved ticket
Commonly connects to
Helpdesk, email, live chat, order system, knowledge base, CRM, returns portal.
Sloane · AI Sales Development Employee
Responds in seconds, follows up for as long as it takes, and never forgets a lead.
Lead response time is the single most predictive number in inbound sales, and most businesses are measured in hours. This employee is measured in seconds, and it does the eighth follow-up your reps never get to.
- Responds to every inbound enquiry immediately, day or night
- Researches the company and contact before writing
- Qualifies against your criteria and disqualifies honestly
- Runs multi-step follow-up sequences and stops on a reply
- Books meetings onto the right rep's calendar
- Keeps CRM records accurate without being chased
Typically measured on
- Median lead response time
- Leads worked vs. leads received
- Meetings booked and held
- Qualification accuracy
- Pipeline created
- CRM data completeness
Commonly connects to
CRM, email, calendar, enrichment tools, web forms, phone, LinkedIn.
Rachel · AI Accounts Receivable Employee
Chases every overdue invoice, records every promise, and escalates disputes early.
Collections is the clearest ROI case in the building because the output is cash, not opinion. It is also work nobody enjoys, which is exactly why it gets skipped when everyone is busy.
- Monitors every overdue invoice, every day, without a reminder
- Prioritises accounts by value, age and likelihood of recovery
- Sends the appropriate reminder at the appropriate escalation level
- Answers routine payment questions and confirms remittance
- Records promises to pay and follows up on the exact date
- Escalates disputes to a human before they harden
Typically measured on
- Overdue balance recovered
- Days sales outstanding
- Collection rate
- Human interventions per 100 accounts
- Promise-to-pay conversion
- Customer complaint rate
Commonly connects to
Accounting system, email, CRM, payment processor, banking feed, Slack or Teams.
Sophia · AI Recruiting Employee
Screens every application the day it lands, against a scorecard rather than a mood.
The bottleneck in hiring is almost never the decision. It is the hundred applications nobody has read yet and the good candidate who accepted elsewhere while waiting.
- Sources candidates against a written scorecard
- Screens every inbound application within hours, not weeks
- Runs structured first-round interviews by chat or voice
- Scores consistently and shows its reasoning
- Schedules the shortlist without the email tennis
- Tells you honestly when the pipeline is too thin to shortlist
Typically measured on
- Time from application to first response
- Applications screened per week
- Shortlist quality (hiring manager accept rate)
- Interviews scheduled
- Time to shortlist
- Candidate experience rating
Commonly connects to
ATS, job boards, email, calendar, video interview tooling, HRIS.
Marcus · AI Operations Employee
The repetitive processing work that quietly consumes a department.
Order entry, document processing, data reconciliation, exception handling, the report that eats a morning every Monday. Individually trivial, collectively enormous.
- Ingests documents (PDFs, spreadsheets, emailed forms) and extracts structure
- Processes repetitive transactions across your systems
- Reconciles data between systems that don't talk to each other
- Detects exceptions and routes them to the right person
- Produces recurring reports on schedule, correctly
- Flags the pattern before it becomes a problem
Typically measured on
- Transactions processed
- Processing accuracy
- Exception detection rate
- Cycle time per item
- Human touches per 100 items
- Human hours avoided
Commonly connects to
ERP, email, spreadsheets, document stores, databases, browser-based legacy portals.
Don't see the employee you need? That's the point.
Most of what we build has no name yet. Freight invoice reconciliation. Warranty claim processing. Permit tracking. Dealer onboarding. Fitment verification. Tender qualification. Compliance monitoring.
The named roles above exist because several businesses asked for the same thing. Yours may be the seventh request for something we haven't named, or the first. Either way the method is identical: we map the job, design the authority, build it, test it, and put it on probation.
We'll tell you when it can't.
If the work is repetitive, digital, rules-and-judgement based and performed through software, there's a good chance an AI employee can hold meaningful parts of it. When it isn't, we'd rather lose the sale than take your money for something that will disappoint you in month three.
Strong candidates
- High frequency: happens hundreds or thousands of times a month
- Meaningful human time goes into it today
- Enough recurring structure to describe as a process
- The information needed is reachable in a system we can connect to
- Mistakes are recoverable and detectable
- Someone can tell us what "done correctly" looks like
Poor candidates
- Requires physical presence or handling
- Depends on a relationship that genuinely can't be delegated
- Rules change constantly and are written down nowhere
- The data lives somewhere we cannot reach, legally or technically
- A single error is catastrophic and undetectable
- It happens four times a year, so automating it never earns the cost back
A no from us costs you thirty minutes. A yes from someone who bills either way costs considerably more.