Every customer answered, on every channel.
An AI agent that handles the conversation and completes the task, an inbox that catches what it hands over, and quality assurance on every transcript instead of the few a manager has time to read.
Most CX tools stop at the ticket. Omazy CX adds the recovery layer that wins back the customer who was about to churn, and ties it to ROI you can see.
A week has 168 hours. Your team covers 40 of them.
Every square below is one hour of one week. The lit ones are when someone is at a desk. Customers do not consult that grid before they arrive, and the ones who show up in the dark squares are not evenly distributed: evenings and weekends are when people research, compare, and abandon. An agent is the only way to hold the whole week without hiring three shifts to do it.
The night shift is already happening
It is just happening without you. Someone reads your pricing page at 11pm, has one question, finds no way to ask it, and opens a competitor's tab. That conversation was never logged, so it never showed up in a report and nobody was asked to explain it.
Coverage does not scale by hiring
Extending 40 hours to 168 means roughly four times the headcount for hours that are mostly quiet. The arithmetic never clears, which is why almost nobody does it and almost everybody has a gap.
Tier-1 is most of the volume
Where is my order, what are your hours, how do I reset this, can I move my booking. Omazy's published Tier-1 deflection is 40%. That is not the ceiling on what an agent can do, it is the share it can close without anyone being asked.
The team gets the work worth their time
The point is not a smaller team. It is that the people you already employ stop retyping the same answer and start handling the conversations where judgement changes the outcome, which is also the work they would rather be doing.
Buy the software, or buy the outcome.
The same platform sits under both. What changes is how much of the configuration work you take on, and who is accountable for the result once it is live.
Three answers, one starting point.
Volume sets the floor, ownership sets the track, and what you need beyond chat sets the ceiling. Answer as you are today, not as you plan to be. Moving up a tier later takes an afternoon.
01How many customer conversations do you handle in a month?
02Who is going to set it up and keep it current?
03What do you need beyond answering questions?
Answer the three above and the tier that fits appears here.
Price it against the work it removes.
The only honest comparison is the cost of the conversations you are already handling. Set the four numbers to match your operation and the model prices your recommended tier against them.
Across every channel: chat, email, WhatsApp, social, phone.
Reading it, finding the answer, writing back, closing it out.
Salary, benefits, tools, and overhead, divided by hours worked.
40% is Omazy's published Tier-1 deflection rate. Start there and adjust once you know your own mix.
- Conversations the agent closes
- 1,200 / mo
- Hours returned to the team
- 180 / mo
- Value of that time
- $5,040 / mo
- Pro run cost
- $49 / mo
This models labour returned, not revenue won. It ignores the conversations you currently lose outside office hours, which is usually where the larger number sits. Treat the result as a floor.
You build it.
Open signup, card on file, live the same day. You configure the agent, load the knowledge base, and connect the channels yourself. Free is the evaluation tier rather than a countdown, so there is no trial to expire.
The evaluation tier. Run the whole product before you spend anything.
- 500 AI conversations a month
- 1 app, 3 seats, web and email channels
- 50 MB knowledge base, 1,000 CRM contacts
- Basic dashboard and DCX Inbox
- Omazy branding, community support
One team running real volume across every messaging channel.
- 5,000 AI conversations a month
- 3 apps, 10 seats, all messaging channels
- 500 MB knowledge base, 10,000 CRM contacts
- 10 active journeys, 50 Auto QA reviews a month
- Webhooks, Slack, and standard integrations
- Email support
Multi-app operations that need the branding off and the API on.
- 25,000 AI conversations a month
- 10 apps, 25 seats, 1 custom domain
- 5 GB knowledge base, 50,000 CRM contacts
- 30 active journeys, 300 Auto QA reviews a month
- White-label customer surfaces, full API access
- Priority support on an 8-hour SLA
Prices are per workspace. Overage is off by default: at the ceiling the console offers a usage pack or the next tier, whichever costs less. SMS and WhatsApp are pass-through on this track and are funded from workspace credit.
We build it and run it.
Sales-led, with a scoped build behind it. The one-time install pays for the configuration work, the persona, the journeys, and the integrations. The Care retainer funds runtime, model spend, and the support line afterwards.
We build the front desk, brand it, and hand you a system that runs.
- Productized build: branding, persona, 1 to 2 journeys
- 5,000 conversations a month, 10 seats, 3 apps
- White-label surfaces, 1 custom domain
- 15,000 CRM contacts, 10 active journeys
- One onboarding session, 2 revision rounds
- Priority support
Adds the operator AI, intent tiering, payments, and messaging bundles.
- Everything in Starter, plus operator AI in advisory mode
- 25,000 conversations and 500 assistant queries a month
- 25 seats, 10 apps, 3 custom domains
- Up to 3 integrations, payments, intent tiering
- 100,000 CRM contacts, 1,000 SMS and WhatsApp bundled
- 3 revision rounds, monthly account report
A fully agentic operator with custom integrations and its own eval suite.
- Agentic operator AI acting with approval, not just advising
- 100,000 conversations and 5,000 assistant queries on fair use
- Custom integrations, custom eval suites, top model tier
- All channels including on-premise connectors
- Dedicated engineer, continuous revisions
- 24×7 support on a 2-hour SLA, quarterly strategy review
The first two months of Care are included after delivery. Figures shown are list: enterprise deals are priced per engagement, and quotas above a tier are settled postpaid against an agreed credit limit rather than blocked.
Prices are in USD and reflect the current published price book. Accounts keep the prices they signed up on. Anything marked Quote is scoped with you before a number is attached to it.
- Enterprises of 50 to 200 running high-volume customer contact
- Teams optimizing lead generation, retention, and CX together
- Operations spanning front-office, internal, and B2B or supply-chain comms
Why it exists.
Customer experience is spread across a call-center tool, a helpdesk, a chat widget, a CRM, and a spreadsheet nobody trusts. Each one owns a slice of the customer, none of them owns the whole relationship, and the handoffs are where you lose people. For a company with real volume, that gap costs leads on the way in and loyalty on the way out. Omazy CX puts the three jobs that matter, reach, support, and recovery, on one platform.
Three products, one conversation engine.
Each one earns its place alone. Run together they cover the full arc of a conversation: the agent answers, the inbox catches what it hands over, and Auto QA reads every transcript so quality is measured rather than assumed.
Omazy AI Agent
An agent that converses and then acts. It handles Tier-1 across webchat, social, email, voice, and video in 95 or more languages, answers from your knowledge base in your brand voice, and completes the task rather than promising someone will follow up.
- RAG over your own knowledge base, not a generic model
- Books, enrols, and takes payment inside the conversation
- Warm discovery that routes each visitor to the right offer
- Intent tiering, so the team sees who is ready to buy
DCX Inbox
One inbox for every channel, and the place a conversation lands when the agent hands it over. The handoff carries the full transcript and customer history, so the person picking it up never opens with a question the customer has already answered.
- AI to human handoff with the whole context attached
- SLA routing, queues, and assignment rules
- Internal notes and collaboration on a live thread
- Unified customer profile across every channel
Auto QA
Quality assurance on every transcript instead of the two percent a manager has time to read. It scores policy adherence, sentiment, and empathy, surfaces the coaching moment, and leaves a traceable record for regulated work.
- 100% review coverage, human and agent conversations alike
- Policy adherence and sentiment scored per conversation
- Coaching insights ranked by how often the pattern recurs
- Regulatory traceability on the full history
And the surface around them
Channels
- Live chat
- Web widget
- Instagram and Facebook DM
- SMS
- Video chat with co-browse
- Voice
Operate
- Visual automation builder
- User journeys with branching
- Broadcast campaigns
- Segmentation
- CSAT surveys
- Analytics on CSAT, AHT, and FCR
Data and control
- CRM and pipeline
- Knowledge base
- Custom domains
- White-label surfaces
- Full API and webhooks
- Data export and GDPR deletion
The capabilities, plainly.
An agent that finishes the job
It answers from your knowledge base in your brand voice, then books the appointment, takes the payment, or updates the order inside the same conversation. No handoff to a form, no promise that somebody will be in touch.
Every channel, one inbox
Webchat, email, WhatsApp, Instagram and Facebook DM, SMS, voice, and video land in the DCX Inbox as one thread. A customer who messaged on Tuesday and calls on Friday is the same customer, with the same history attached.
Handoffs that carry context
When the agent reaches its limit it passes the transcript, the customer record, and what it has already tried. The person picking it up never opens with a question the customer has answered twice.
Quality measured, not sampled
Auto QA reviews every transcript for policy adherence, sentiment, and empathy, and ranks coaching moments by how often the pattern recurs. Managers stop spot-checking two percent and hoping it generalises.
95+ languages, one configuration
The agent answers in the customer's language without a separate build, a separate team, or a translation queue between the question and the answer.
Post-purchase and recovery
Onboarding, follow-up, and structured win-back for the customer who had a bad moment. The account about to walk gets flagged and worked while there is still something to save.
Journeys and automations
A visual builder for routing, escalation, and the repetitive paths a customer takes, with branching journeys that adapt to what the person actually does rather than the path you hoped for.
Beyond the front office
The same rails handle internal comms, B2B vendor relations, and supply-chain coordination, so the tool does not stop being useful at the edge of the support team.
What it changes, by the person who owns the number.
You spend to bring leads in, then watch them fall through the cracks between the chat widget, the call center, and the CRM. Attribution is a guess.
Every touch on one platform, so you can follow a lead from first message to renewal and see which conversations actually pay back the spend.
Your support team is drowning, headcount is capped, and quality slips every time volume spikes. Vendor messages live in yet another inbox.
One system for customer, internal, and B2B communication, with an agent layer that lets a lean team hold quality as volume climbs.
Churn quietly eats a chunk of revenue every quarter and nobody owns the save. You find out a key account left after it is already gone.
A recovery layer that flags the account about to walk and runs the play to keep it, with the ROI on the same dashboard you already read.
A 120-person retailer turns a refund into a renewal.
A customer files a complaint over WhatsApp after a late delivery. Omazy CX routes it to an agent with the full order history and a suggested resolution, closes it in one thread, then triggers the post-purchase recovery flow: an apology, a targeted offer, and a check-in a week later. The account that was one bad review away from churning reorders the next month. The whole path, complaint to reorder, sits on one timeline the COO and CMO both read.
- Omnichannel routing
- Agent assist
- CRM + retention
- Analytics
- How is this different from a helpdesk?
- A helpdesk closes tickets. Omazy CX runs the whole relationship: the touchpoints before the ticket, the support during, and the recovery after, with retention and ROI as first-class metrics.
- We are B2B, not retail. Does it fit?
- Yes. The same rails handle vendor relations, supply-chain coordination, and internal comms, so it fits companies whose most important conversations are not with consumers.
- Which pricing track do we belong on?
- If you have someone who will own the configuration, start on general use. Free is a real evaluation tier rather than a countdown, so you can load your knowledge base and run live traffic before paying. Move to the enterprise track when you want the build done for you and someone accountable for the result.
- Why does the enterprise track charge an install fee and a monthly?
- They pay for different things. The one-time install funds the configuration work: branding, persona, journeys, integrations, and the eval suite. The Care retainer funds what the system consumes and costs to support once it is live, which is model spend, channels, and the support line. Separating them keeps both honest.
- What happens when we exceed a plan's conversations?
- On general use, overage is off by default. At the ceiling the console offers a usage pack or the next tier, whichever is cheaper, and you choose. On the enterprise track overage runs postpaid against an agreed credit limit, so a busy month does not stop the agent answering.