We connect Asterisk, Google Workspace, and Calendly into an automated call answering service with appointment booking features. You receive a receptionist that answers calls, books visits, and updates calendars.
We connect your phone and calendar tools so calls can be answered and appointments booked without separate manual steps.
Connects an AI receptionist to your phone setup so incoming calls can be handled automatically.
Removes the need to handle every incoming call manually before a caller can reach the right booking path.
"A caller reaches the Asterisk phone line, the AI receptionist answers, and the call follows the configured appointment path."
Lets the phone receptionist place appointments into the buyer's existing scheduling flow.
Prevents call details and booking requests from being passed between the phone system and scheduler by hand.
"After a caller chooses a time, the receptionist sends the booking into Calendly instead of asking staff to enter it later."
Links the receptionist and booking flow with the buyer's Google Workspace setup.
Keeps the phone receptionist from operating apart from the calendar and workspace tools already used by the buyer.
"The booking flow checks the connected Google Workspace calendar before confirming a time through the phone receptionist."
Configures Asterisk so incoming calls reach the AI receptionist and its booking flow.
Avoids a disconnected phone setup where callers cannot reliably reach the automated receptionist.
"An incoming Asterisk call is routed to the AI receptionist, which starts the configured appointment conversation."
Real engagements. Relevant to what you need.
AI Chatbot Development
Initial problem
Previous chatbot implementations failed due to poor user experience — bots that were confidently wrong or communicated in robotic patterns.
Our solution
Built AI chatbot with UX as the primary design constraint: natural conversation flow, calibrated confidence, and graceful, brand-matched escalation.
Result
Repeat engagement within 30 days at 64%; 82% user engagement rate — users who start a conversation complete it.
"Users engage willingly and repeat engagement rates are high. Chatbot UX is undervalued in most AI chatbot development projects; CogWorkLabs made it central."
AI Chatbot Development
Initial problem
Two separate support systems — customer-facing SaaS support and an internal developer helpdesk — needed chatbots with distinct knowledge bases.
Our solution
Built a shared NLP chatbot development platform with separate knowledge bases, conversation flows, and integration layers for each deployment.
Result
91%+ intent recognition accuracy on both deployments; customer ai chatbot deflects 65% of tickets.
"Intent accuracy is over 91% on both deployments. Dual-use AI chatbot development done properly is rare — CogWorkLabs achieved it."
AI Chatbot Development
Initial problem
30% of the sales team's calendar was consumed by discovery calls with prospects who didn't meet buying criteria — a clear capacity drain.
Our solution
Built AI chatbot development for sales automation: a chatbot conducting structured qualification dialogues on the website while scoring leads.
Result
Sales calendar time freed from unqualified discovery calls: 30% reclaimed; qualified lead-to-close rate improved by 31%.
"CogWorkLabs delivered AI chatbot development for sales automation — a conversational. Our sales team closes more because the AI chatbot development solution ensures they only talk to decision-ready buyers."
Front desk teams using Asterisk and Calendly to answer calls, book appointments, and keep calendar handoffs clear.
Companies we've worked with
MojoTech
AI Chatbot Development
US
Cogniteq
AI Chatbot Development
PL
TechAhead
AI Chatbot Development
US
Biz4Group
AI Chatbot Development
US
Imaginary Cloud
AI Chatbot Development
GB
Zazz
AI Chatbot Development
CA
"Users engage willingly and repeat engagement rates are high. Chatbot UX is undervalued in most AI chatbot development projects; CogWorkLabs made it central."
S. Mirick
Chief Executive Officer · MojoTech
"Intent accuracy is over 91% on both deployments. Dual-use AI chatbot development done properly is rare — CogWorkLabs achieved it."
M. Kot
Managing Director · Cogniteq
"CogWorkLabs delivered AI chatbot development for sales automation — a conversational. Our sales team closes more because the AI chatbot development solution ensures they only talk to decision-ready buyers."
V. Kaushik
Chief Executive Officer · TechAhead
"Response time dropped to under 10 seconds and our CSAT score actually improved. That combination is what good AI chatbot development looks like."
S. Verma
Founder & CEO · Biz4Group
These use cases cover missed calls, booking handoffs, calendar checks, and phone routing across Asterisk, Calendly, and Google Workspace.
Current problem
Callers may reach the business when no one is ready to answer, leaving appointment requests unfinished.
Automated workflow
The AI phone receptionist answers through Asterisk and guides the caller into the connected appointment booking flow.
Human involvement
Staff review exceptions when a caller's request does not fit the configured booking rules.
Systems
Possible outcome
More callers can complete a booking without waiting for staff.
We deliver automated appointment booking for home services by connecting Asterisk, Calendly, and Google Workspace.
We map how Asterisk calls are answered, how Calendly bookings work, and where Google Workspace calendars are used.
Join a workflow call and share current call routes, Calendly rules, and the calendars used for appointments.
We test access, call routing, calendar permissions, and booking edge cases across the three named tools.
Provide test access and confirm how missed calls, unavailable times, and booking exceptions should be handled.
We document the Asterisk route, receptionist prompts, Calendly rules, and Google Workspace calendar checks.
Approve the call path, booking questions, calendar sources, and the point where staff review is required.
We build one working call-to-booking path using your Asterisk setup, Calendly rules, and live calendar format.
Place test calls, try valid and unavailable times, and note where the receptionist needs clearer wording.
We complete the call routes, booking logic, calendar checks, exception handling, and end-to-end tests.
Run acceptance tests with staff and approve the production phone, Calendly, and calendar connections.
We launch the receptionist, watch call-to-booking failures, and provide a runbook plus a 30-day support window.
Approve go-live, name an alert owner, and review the first live call and booking results with us.
A 30-minute discovery call is enough to map your workflow and tell you whether automation makes sense.
We protect every Asterisk call route and Calendly booking rule, because a bad handoff can lose an appointment.
We review every Asterisk greeting and Calendly booking rule with you before it reaches callers or confirms appointment times.
How we prove it
Approved call-flow checklist required before go-live.
We take no referral fees from phone or scheduling vendors, and we map your Asterisk, Calendly, and Google Workspace setup first.
How we prove it
Design doc lists tool options with tradeoffs before build.
We monitor the Asterisk-to-Calendly booking path, so failed call handoffs or calendar access issues are caught before you notice.
How we prove it
Monitoring dashboard included; 30-day post-launch support.
We map the Asterisk, Calendly, and Google Workspace handoffs into a clear build plan before code starts, so scope stays visible.
How we prove it
Signed scope doc and weekly updates before code is written.
A few words from the teams we've partnered with, sharing what it's been like to work with us and the impact automation has had on their day-to-day.
"Users engage willingly and repeat engagement rates are high. Chatbot UX is undervalued in most AI chatbot development projects; CogWorkLabs made it central."
Repeat engagement within 30 days at 64%; 82% user engagement rate — users who start a conversation complete it.
S. Mirick
Chief Executive Officer · MojoTech
"Intent accuracy is over 91% on both deployments. Dual-use AI chatbot development done properly is rare — CogWorkLabs achieved it."
91%+ intent recognition accuracy on both deployments; customer ai chatbot deflects 65% of tickets.
M. Kot
Managing Director · Cogniteq
"CogWorkLabs delivered AI chatbot development for sales automation — a conversational. Our sales team closes more because the AI chatbot development solution ensures they only talk to decision-ready buyers."
Sales calendar time freed from unqualified discovery calls: 30% reclaimed; qualified lead-to-close rate improved by 31%.
V. Kaushik
Chief Executive Officer · TechAhead
The automated appointment booking home services setup also fits teams that answer calls and schedule time through Asterisk and Calendly.
Plumbers, electricians, and HVAC teams miss booking calls while crews are on-site; the Asterisk receptionist answers and books service slots through Calendly.
A caller books an HVAC visit by phone while the office team is busy.
Service desks handle repeated calls for inspections, repairs, and drop-off times; the same phone-to-Calendly flow records the requested appointment.
A driver calls after hours and books an inspection slot for the next day.
Front desks spend much of the day on routine booking calls; the receptionist schedules visits while non-booking questions remain with staff.
A patient books a routine visit by phone, while treatment questions stay with staff.
Firms receive consultation calls while staff are in meetings; the Asterisk flow collects basic contact details and books approved Calendly time slots.
A prospect calls during a meeting and books an initial consultation.
Common questions about hiring CogWorkLabs for automated appointment booking home services with Asterisk, Calendly, and Google Workspace.
You'll work with named engineers and a dedicated delivery manager — not an anonymous team bench.
Zeeshan Ahmad
Founder & Principal Automation Architect
Zeeshan owns the architecture behind every build — choosing the stack, designing the integrations, and deciding where reliability layers like failure handling and human review gates need to sit before a system goes live.
Experience
Mughees Rehman
Conversational AI / Chatbot Specialist
Mughees designs the conversational AI behind chat automation — qualify, route, deflect, and hand off cleanly to a human — across ManyChat, Telegram, and Discord.
Experience
Awais Ahmad
Senior RPA & Workflow Engineer
Awais builds the workflow automation itself — retries that actually retry, idempotency, audit trails — turning brittle scripts into RPA that holds up at production volume.
Experience
Book a 30-minute discovery call. We'll map your current workflow and tell you exactly what we'd automate — and whether it's worth building.
