We set up your Twilio numbers, voicemail transcription, and WhatsApp AI chatbot development from your FAQ files. Our WhatsApp chatbot developers add human escalation, notes, and a website chat link.
We set up Kookabe's two-number Twilio stack, move public contact details off the owner's cell, and launch a WhatsApp FAQ bot with clear human handoff.
We configure Kookabe's main Twilio number for voicemail-only voice and SMS use.
Kookabe needs a public business number so the owner's personal cell is no longer listed across customer-facing accounts.
"A customer calls Kookabe's new public number, reaches voicemail, and never sees the owner's personal cell on the business listing."
We turn incoming voicemails into text and send each transcript by SMS, email, or both.
Kookabe does not answer calls live, so missed messages need to reach the team in a form they can read and act on.
"A caller leaves an order question; Twilio transcribes it and sends the text to Kookabe without anyone checking a voicemail inbox."
We update Google and guide Kookabe through Meta business contact changes.
The owner's cell needs to be removed from public business profiles without confusing customers about how to reach Kookabe.
"Kookabe's Google Business Profile shows the Twilio number, while Meta, Facebook, and Instagram follow the agreed contact setup."
We register a separate Twilio number as Kookabe's WhatsApp Business sender.
Kookabe needs a dedicated WhatsApp channel that is separate from the public voicemail number.
"Number B connects through Twilio Self Sign-Up, links to Kookabe's Meta Business account, and carries the approved profile details."
We build a WhatsApp bot that answers Kookabe questions from its supplied PDF or markdown files.
Customers ask repeat questions about products, Canadian shipping, ordering, and wholesale terms that need consistent replies.
"A shopper asks about shipping within Canada, and the bot answers from Kookabe's approved FAQ content through WhatsApp."
We route low-confidence WhatsApp questions for later human review instead of forcing an answer.
The chatbot needs a safe path for questions that are missing from the knowledge base or too uncertain to answer.
"When a wholesale question is not covered in Kookabe's files, the bot records it and leaves it for a person to answer later."
We provide the WhatsApp website entry point and document how Kookabe can manage the setup.
Kookabe needs clear website contact options and a simple guide for updating content, testing, and restart steps.
"Kookabe adds a Chat on WhatsApp button while the guide explains which number is for voicemail and how to update FAQ files."
Real engagements. Relevant to what you need.
AI Chatbot Development
Initial problem
A technically sophisticated user base required precise, multi-step answers to API, debugging, and architecture questions — defeating generic chatbots.
Our solution
Built AI chatbot development with technical depth as the primary design goal: RAG retrieval over API docs, code samples.
Result
Technical query resolution rate of 78% without human escalation — nearly triple; developer satisfaction nps for chatbot interactions reached +42.
"CogWorkLabs built a chatbot with technical depth we thought was unachievable — it handles API questions, debugging, and architecture queries accurately. Technical users now prefer it over waiting for a human."
AI Chatbot Development
Initial problem
The Canadian customer base required genuine bilingual support, but prior chatbots offered only English-first responses with poor French translation.
Our solution
Built AI chatbot development with equal NLP investment in both languages: separate language-specific training corpora, equivalent RAG knowledge bases.
Result
French-language NLP accuracy reached parity with English (91% vs 92%); french customer satisfaction score improved from 2.8 to 4.3 — now equal.
"Our French-speaking customers now have the same experience as English speakers. Finally."
AI Chatbot Development
Initial problem
Technical product support involved multi-step troubleshooting needing senior engineers — limiting capacity and causing 6+ hour response times.
Our solution
Built AI chatbot development with deep NLP capabilities: a chatbot with multi-turn dialogue management and dynamic documentation retrieval via RAG.
Result
Average support handle time reduced by 42%; ai chatbot resolves 61% of technical queries without engineer involvement.
"CogWorkLabs built AI chatbot development with a deep-NLP conversational AI chatbot that handles multi-step troubleshooting, retrieves documentation dynamically, and creates structured tickets automatically on escalation. Average handle time dropped 42%."
Canadian product sellers use us to answer WhatsApp FAQs from approved files and route uncertain questions to a person.
Companies we've worked with
Jelvix
AI Chatbot Development
EE
Zazz
AI Chatbot Development
CA
Fingent
AI Chatbot Development
US
Andersen
AI Chatbot Development
PL
MojoTech
AI Chatbot Development
US
ScienceSoft
AI Chatbot Development
US
"CogWorkLabs built a chatbot with technical depth we thought was unachievable — it handles API questions, debugging, and architecture queries accurately. Technical users now prefer it over waiting for a human."
S. Andrieiev
CEO & Co-Founder · Jelvix
"Our French-speaking customers now have the same experience as English speakers. Finally."
A. Haji
Chief Executive Officer · Zazz
"CogWorkLabs built AI chatbot development with a deep-NLP conversational AI chatbot that handles multi-step troubleshooting, retrieves documentation dynamically, and creates structured tickets automatically on escalation. Average handle time dropped 42%."
V. Samuel
Chief Executive Officer · Fingent
"The NLP accuracy across all three languages is genuinely impressive, and the chatbot handles 68%. This AI chatbot development project paid back its cost in under 90 days."
D. Titenko
Head Of Strategic Development · Andersen
These use cases cover missed-call follow-up, Canadian FAQ answers, content updates, and human handoff through Kookabe's Twilio setup.
Current problem
Kookabe rarely answers live calls, so a customer message can sit unheard in voicemail until someone checks it.
Automated workflow
Twilio sends the call to voicemail, converts the recording to text, and delivers the transcript by SMS, email, or both.
Human involvement
A team member reviews each transcript and decides who should reply to the caller.
Systems
Possible outcome
Missed calls become visible messages the team can review quickly.
Our WhatsApp chatbot development path covers Kookabe's two Twilio numbers, business profiles, FAQ files, website entry point, and handoff rules.
We map both Twilio numbers, current Google and Meta listings, voicemail flow, FAQ files, and WhatsApp handoff.
Join a 60-minute call, share account access, current profile links, and the PDF or markdown FAQ source.
We check number eligibility, WhatsApp Self Sign-Up, webhook delivery, transcript routing, and low-confidence cases.
Confirm the Canadian customer scope, expected message volume, Meta account status, and preferred transcript channel.
We document the two-number setup, voicemail path, WhatsApp webhook, RAG source, escalation, and website routing.
Approve number roles, business profile text, FAQ source, escalation owner, and website contact wording.
We test a real Kookabe FAQ file through Twilio WhatsApp and confirm one voicemail transcript reaches SMS or email.
Send sample product and shipping questions, place a test call, and review the first bot answers and transcript.
We finish both number flows, RAG answers, fallback capture, profile updates, click-to-chat link, and user testing.
Run user tests, approve final FAQ answers, confirm profile changes, and provide production account permissions.
We launch both channels, watch webhook and transcript delivery, hand over restart steps, and set a support window.
Approve go-live, name the human escalation owner, and confirm who receives voicemail and failure alerts.
A 30-minute discovery call is enough to map your workflow and tell you whether automation makes sense.
We protect Kookabe's public numbers, WhatsApp answers, and account updates from careless setup or silent failures.
We have you approve Kookabe's WhatsApp answers and handoff rules before replies go live, so uncertain questions are not guessed at.
How we prove it
Approval checklist covers FAQ replies and handoff before go-live.
We take no referral fees from WhatsApp providers. We map Twilio and Meta first, then explain when another provider would fit better.
How we prove it
Provider options and tradeoffs are listed before build.
We monitor Twilio's WhatsApp webhook and voicemail transcription path, so dropped messages or missing transcripts are caught early.
How we prove it
Monitoring covers webhook delivery and voicemail transcription.
We map both Twilio numbers, profile updates, chatbot work, and website handoff before code starts, so scope stays visible each week.
How we prove it
Scope doc separates both numbers, chatbot, and profile updates.
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.
"CogWorkLabs built a chatbot with technical depth we thought was unachievable — it handles API questions, debugging, and architecture queries accurately. Technical users now prefer it over waiting for a human."
Technical query resolution rate of 78% without human escalation — nearly triple; developer satisfaction nps for chatbot interactions reached +42.
S. Andrieiev
CEO & Co-Founder · Jelvix
"Our French-speaking customers now have the same experience as English speakers. Finally."
French-language NLP accuracy reached parity with English (91% vs 92%); french customer satisfaction score improved from 2.8 to 4.3 — now equal.
A. Haji
Chief Executive Officer · Zazz
"CogWorkLabs built AI chatbot development with a deep-NLP conversational AI chatbot that handles multi-step troubleshooting, retrieves documentation dynamically, and creates structured tickets automatically on escalation. Average handle time dropped 42%."
Average support handle time reduced by 42%; ai chatbot resolves 61% of technical queries without engineer involvement.
V. Samuel
Chief Executive Officer · Fingent
These industries need the same WhatsApp chatbot development workflow: answer from approved files, capture voicemail, and route uncertain questions to staff.
Online stores repeat product, shipping, and ordering answers daily; the Twilio WhatsApp bot answers from approved files while the public number captures voicemail.
A shopper asks about Canada-wide shipping in WhatsApp, while missed calls arrive as transcribed messages.
Distributors handle recurring bulk-order and product questions; the RAG bot answers known terms and records unclear requests for a later human reply.
A buyer asks about case quantities and delivery areas, then gets handed off when pricing needs review.
Studios and service firms miss calls while working; one Twilio number records and transcribes voicemail while WhatsApp handles routine policy and booking questions.
A client checks hours in WhatsApp, while a missed booking call is transcribed and sent to staff.
Property teams repeat building FAQs and cannot answer every call; WhatsApp handles approved answers while uncertain issues and voicemail go to staff.
A tenant asks about move-in rules in WhatsApp, while an urgent unclear issue is captured for follow-up.
You'll work with named engineers and a dedicated delivery manager — not an anonymous team bench.
Mughees designs the conversational AI behind chat automation — qualify, route, deflect, and hand off cleanly to a human — across ManyChat, Telegram, and Discord.
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.
Zegham designs the AI agents themselves — scoped permissions, bounded memory, evals, and monitoring — so an agent stays observable and safe in production, not just impressive in a demo.
Awais builds the workflow automation itself — retries that actually retry, idempotency, audit trails — turning brittle scripts into RPA that holds up at production volume.
Awais runs discovery, maps your process, and turns it into a scoped, build-ready plan for custom scripting and automation — staying your one named point of contact through sign-off.
Common questions about hiring CogWorkLabs for WhatsApp chatbot development, Twilio number setup, and Kookabe's business contact handoff.
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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.