From the receptionist greeting your first enquiry to the booking agent chasing every follow-up. We build AI employees for every role.
Need a different one? Tell us the specs, the systems it touches, and the outcome you want. We'll build it too.
An AI employee handles about 80%+ of the task volume a senior human would. The remaining 20% - the nuanced cases, edge calls, relationship moments - still lands with a human, and we don't pretend otherwise. What you do get: they work 24/7/365, never take leave, never quit, and cost a fraction per conversation. Use them on the volume work. Keep your humans for the nuance.
Old chatbots followed scripts. AI employees connect to your stack and act - they check stock, hold slots, move bookings, log to your CRM, and hand off to humans with full context. They do the work, not just the talking.
Thanks for your message! Our customer service team is available Mon-Fri 9am-6pm. For stock enquiries please visit our website or give us a call.
Yes - 2 left in M at Orchard. I've held one under your name for 24h. Pickup 11am-9pm tomorrow, just show this WhatsApp message at the counter. Want me to add the matching scarf? Also at Orchard.
Generic AI platforms let anyone spin up an agent from a template in minutes. That works until you realise your business isn't a template, your customer isn't a template, and your tools aren't a template. Two competing businesses in the same niche need very different agents - the work is in the customisation, the integration into your stack, and the months of refinement after launch, long after the platform's onboarding email has stopped sending.
Heartland HDB-area family practice. Receptionist handles high-volume rebooking, payment-plan questions, kids' appointments, and same-day no-show recovery.
CBD aesthetic and whitening clinic. Receptionist routes to a consultation calendar, fields procedure-specific questions, and handles VIP follow-up after treatments.
Brunch dine-in. Booking agent reserves tables, sends weekly menu specials, runs the waitlist on weekends.
Takeaway only. Loyalty agent tracks visits, sends grab-and-go offers, escalates spilled-coffee complaints fast.
Premium occasion wear, $200-800 pieces. Product specialist does fit consultation, white-glove returns, made-to-order timelines.
Fast-fashion daily, $20-60 pieces. Product specialist does quick stock checks, bundle upsells, and the high-volume returns flow.
General service and repairs, multi-make, family clientele. Booking agent handles "when's my next service?" questions, schedules around weekends, and chases overdue service reminders.
Performance tuning and ECU mapping. Product specialist fields technical enquiries, manages parts orders with 4-6 week import lead times, and pings clients before track days.
Commercial gym, trial-heavy funnel, 1,500+ members. Sales rep qualifies trials, books intro classes, handles cancellation deflection and freeze requests.
Boutique reformer studio, 80 active members. VIP agent runs the small-class waitlist, handles instructor-specific bookings, and sends monthly milestone touches.
Every agent is custom-trained on your business and refined month after month as real customer questions surface. Every agent connects to your stack - respond.io, GoHighLevel, HubSpot, Shopify, custom CRMs - the kind of integration generic platforms skip. And every account has a direct human contact, not a forum support queue. That's why generic platforms can spin up the first version in minutes; only a team like ours keeps it working in month 12.
Greets every new message within seconds. Classifies the visitor's intent - new lead, returning customer, support enquiry, or "wrong number" - captures name and context, and routes the conversation to the right specialist agent or human team. The front of every other agent on this page.
Service businesses with mixed-intent inboxes: clinics, gyms, salons, schools, F&B with bookings, multi-outlet retail.
Qualifies inbound leads against your Ideal Customer Profile, asks the right discovery questions, handles common objections without sounding scripted, and books discovery calls on your calendar. Hands warm leads to your closer with full context - so the human never re-asks the same questions.
B2B services, professional services, agencies, SaaS, anything sold via consultation. Businesses running click-to-WhatsApp or lead-gen ads.
Answers product questions with depth - dimensions, materials, compatibility, what's in stock - recommends configurations based on the visitor's use case, and sends spec sheets, photos, or pricing on request. Trained on your full catalogue and product knowledge base.
E-commerce, retail, made-to-order goods, automotive, home furniture, electronics - anything with SKUs and product complexity.
Manages your full appointment lifecycle: takes new bookings against your calendar, reschedules without back-and-forth, sends reminders that actually get read, and chases no-shows the same day with a recovery offer or rebook.
Clinics, salons, spas, gyms, tuition centres, dental, vet, F&B with reservations, home services with site visits.
Re-engages abandoned carts with a personalised nudge - not a generic "you forgot something" - asking the question that's likely blocking the buy (shipping, fit, payment), offering a one-time incentive if it makes sense, and finishing the transaction inside the chat.
E-commerce on Shopify, WooCommerce, custom carts - any business with a checkout funnel.
Wakes dormant contacts who haven't engaged in 60-180 days. Sends a relevant, non-salesy opener, finds out why they went quiet (price, life event, switched provider, just busy), and brings them back with the right offer for their specific reason. Logs the why for your CRM.
Subscription businesses, gyms with churned members, salons/clinics with lapsed clients, e-commerce with first-time-only buyers.
Walks new customers through first-time setup, treatment plan, course induction, or product activation. Sends the right resource at the right moment, answers the first wave of questions, and books the next touchpoint so day-one momentum doesn't drop into a slow email queue.
SaaS, fitness memberships, clinics with treatment plans, education programmes, subscription boxes, B2B service kick-offs.
Looks after your top-spend customers like a named account manager. Anniversary touches, exclusive offers, early access to launches, and referral asks at peak-satisfaction moments (right after a great service, not three weeks later). Knows their preferences and history.
Premium retail, hospitality, F&B, high-touch services, luxury wellness, real estate agents, financial advisors.
Handles 60-80% of common support questions immediately: order status, opening hours, returns, password resets, simple troubleshooting. Knows when it's out of its depth and escalates to a human cleanly - with full conversation context, so the human doesn't start from zero.
E-commerce, SaaS, multi-outlet retail, hospitality - anywhere with a recurring set of support questions.
Plans, drafts, segments and schedules your monthly WhatsApp broadcasts against your sales calendar. Reviews what worked, what didn't, and adjusts the next month's plan based on opens, replies and conversions. Built on top of our Broadcast Playbook framework.
Businesses with 1,000+ contacts on WhatsApp and at least one product cycle per quarter. F&B, retail, fitness, beauty, education.
Each AI employee owns a narrow role with its own toolset, prompts, and evals. They hand off work to each other the way an ops team does - sharing context, picking up threads, only escalating to a human when the case needs one. The result is a system that handles complex, multi-step issues that used to take hours of human time, around the clock.
One enquiry, four agents, full context preserved at every handoff. A human only enters when the case actually needs judgment.
Enquiry to consult, intake completed and deposit collected before the doctor opens the file.
Table reserved, reminded, sat, reviewed. The host steps in for VIPs, allergies, and the moments that need a real welcome.
Product question to delivery query, four agents move the order through. Humans only own refund decisions where policy meets context.
Trial enquiry to active member, with re-engagement built in. The coach owns programming and the relationship work that earns retention.
A booking agent only needs the calendar API, the service catalog, and the cancellation policy. A support specialist only needs the order database and the returns rules. Each prompt stays small. Each agent stays accurate.
The receptionist can't issue refunds. The cart-recovery rep can't change pricing. Splitting roles means splitting authority - a customer can't talk one agent into doing what another agent owns.
Each agent is graded against its own rubric. Is the booking agent picking the right time slot? Is the support specialist routing complaints correctly? You can't run that kind of check on a single mega-bot covering everything at once.
A bride DMs on Instagram on a Friday asking about June weekends, then goes quiet. Eleven days later she messages the same venue from a different WhatsApp number asking about catering packages. The receptionist recognises the underlying customer (matched on email signature), pulls the original thread, hands the full context to the sales rep. Sales rep walks through pricing and package options, hands to the booking agent who locks the date and sends the contract. A human only touches it at signature.
Agents involved: Receptionist → Sales rep → Booking agent
A customer messages at 23:08 Sunday: a recurring subscription billed twice this cycle. The support specialist pulls the order history, confirms the duplicate, refunds it, sends confirmation - all inside three minutes. Then it notices the customer has been on the plan for 18 months and flags the win-back specialist to send a "we appreciate you" gesture on Tuesday morning. The customer goes from angry to retained with no human on shift.
Agents involved: Support specialist → Win-back specialist
For some of our SME deployments, the AI team now resolves more than 80% of customer-facing tasks end-to-end. Humans handle the 20% that genuinely needs nuance, judgment, or relationship work - which is exactly where humans are still better than AI.
Build your AI team
Every AI employee is trained on your products, your tone, and your sales process. We build, deploy and run them - or hand them over with full SOPs so your team can. 300+ AI employees deployed across 30+ businesses, 12M+ conversations handled.