You run demand, not an AI project
You care about replies, bookings, reactivations, and what your ads actually buy. The tooling is our problem.
Customer agents that grow
the business. Without you building them.
Inbound questions, old lists that went quiet, ads that should end in a real conversation — we design the agent, connect it to your systems, launch it, and stay on it. Error rates come down over time. You don’t have to become the person who prompts and babysits it.
Design → launch → monitor → optimize. We don’t hand it off after go-live.
Built for operators, not for builders.
You know which conversations pay: the lead that never booked, the customer who hasn’t ordered in a year, the ad click that died in a form. You shouldn’t need a spare engineering week to put an agent on that work.
The work is bigger than a chatbot
Answering FAQs is the floor. The useful version talks to customers, takes action, and reports back when something converted.
You need it to keep getting better
A launch that sounds smart and then goes stale is a waste. We treat live error rate as the job after go-live.
If you’d rather build it in-house, use Platform. This page is the version where we do the work.
Not a helpdesk bot. The conversations that move revenue.
We start with the jobs that are already on your plate. Most accounts are some mix of the three below. We don’t force a single “chatbot” shape.
01
Inbound that finishes the job
Website, WhatsApp, Instagram, email, SMS — questions, bookings, reschedules, “where’s my order,” the stuff your team repeats all day.
- Uses your catalogs, policies, and systems
- Takes action (calendar, CRM, orders), not just replies
- Hands off when it shouldn’t keep going
- Same monitoring after launch as the outbound work
02
Chat funnels for ads — with conversion signals back to the ad platform
Ads that dump people on a form waste spend. We design the chat that starts when they click, and we send conversion events when they actually do something: booked, qualified, paid, requested a callback.
- Landing and first message matched to the campaign, not a generic “how can I help”
- Agent qualifies, answers objections, and takes the action in-conversation
- Conversion signals fire from chat actions, so Meta / Google can optimize for outcomes, not clicks
- We iterate the funnel the same way we iterate the agent: live conversations, then lower error, then more of the flow unsupervised
03
Reactivate customers you already paid to acquire
Upload the list: past buyers, expired members, no-shows, lapsed subscribers. We build an agent that reaches out on the channels you already use, with a reason to come back — not a blast.
- Pulls from your database / CRM, not a generic sequence
- Personalizes around last purchase, plan, or last visit
- Books, sells, or hands off when a human should close
- We watch which messages get ignored or go wrong, then tighten them
If your case is a mix — ads in, reactivation out, support in the middle — that’s normal. We scope the first release around the conversation that pays back fastest, then expand.
Most “AI agents” are a demo with a channel plugged in.
The first version is easy. The hard part is lists that feel spammy, ad traffic that asks something you didn’t prompt for, a booking that didn’t write to the calendar, a conversion that never made it back to the ad account. That’s where teams lose trust and turn it off.
Setup is not the product
Knowledge, tools, lists, campaigns, handoff, and what counts as a conversion all have to match how you actually sell.
Customers don’t follow the script
Lapsed buyers and ad clicks expose gaps a test chat never will.
Leaving it alone makes it expensive
A reactivation that annoys people, or an ad funnel that can’t send conversions, gets worse the more you spend on it.
We take the whole job — including the part after it goes live.
We handle the agent. You keep the business.
01
Design
Which conversations: inbound, reactivation, ad funnel, or a mix. What the agent should do, what it must never do, when a human takes over, and which actions count as a conversion.
02
Plan
Lists and CRMs, ad accounts, calendars, inventory, internal APIs. Launch criteria that are about real outcomes, not a pretty transcript.
03
Rollout
Supervised first. You can see outreach and ad-chat replies before they run loose. We go live when the behavior is good enough to trust.
04
Monitor & optimize
Live conversations, missed reactivations, bad handoffs, conversions that didn’t fire. We correct, add evals, and drive the error rate down so you can put more volume through it.
The list, the ads, and the inbox all drift. We stay on them.
Delivery is when most vendors leave. That’s when a reactivation starts sounding generic, an ad funnel misses a new objection, or a conversion event silently stops firing.
We treat error rate as the metric: wrong answers, skipped actions, creepy outreach, conversions that didn’t register. Find it in production, fix it, keep it from coming back.
Fewer mistakes in live conversations
Including outbound and ad traffic, not just support.
Tighter funnels over time
Copy, tools, and conversion events get better from what actually happened.
More volume, safely
As error rates drop, more of the list, more campaigns, less sitting on every reply.
Month two should outperform launch. If it doesn’t, we didn’t finish the job.
Not a deck. Agents in production, operated.
- Discovery around the conversations that actually pay (inbound, lists, ads)
- Agent build on Zami: prompts, knowledge, tools, channels
- Customer-list / CRM reactivation flows when that’s the job
- Chat funnels wired to your ads, with conversion signals from chat actions
- Integrations with the systems you already use
- Supervised launch
- Handoff rules that match how your team closes
- Ongoing monitoring of live conversations
- Continuous error-rate reduction after go-live
- Changes when offers, audiences, or campaigns change
- A named team that stays on the account
Custom pricing, scoped to channels, systems, list size, and ad volume — not a one-size chatbot package.
Same platform. Different amount of work on your plate.
PlatformBuilt for you
Who designs the conversations
PlatformYour team
Built for youOurs
Who connects CRM, lists, ads, tools
PlatformYour team
Built for youOurs
Who watches live inbound and outbound
PlatformYour team
Built for youOurs
Who keeps conversion signals and error rates honest
PlatformYour team
Built for youOurs, ongoing
Best if
PlatformYou want to own the build
Built for youYou want the revenue motion, not another internal project
From the first call to an agent you can leave running.
01
Call
Where the money is stuck: quiet customers, ad clicks that don’t convert, inbox load.
02
Scope
First release: which job, which channels, what “good” means — bookings, reactivations, qualified convos, purchase.
03
Build
You review behavior, not pull requests.
04
Launch
Supervised, then more autonomy as the numbers earn it.
05
Operate
Monitor, correct, optimize. Expand to the next conversation type when the first one is stable.
Most first releases are in supervised rollout in weeks, not a six-month AI program. Timing depends on integrations, list quality, and how many conversation types we take at once.
The details, without
the fine print.
Do I need a technical team?
No. You need someone who knows how the business should handle customers. We do the design, build, integrations, and ongoing optimization.
What do you need from us?
Access to the knowledge the agent should use, the tools it should act in, and a person who can say when a reply is right or wrong. We keep that load as small as we can.
Is this just customer support?
Support is one use. The same service covers reactivation and acquisition funnels. We pick the first one based on what pays back fastest for you.
Do you work with paid ads?
Yes. We design the chat that starts from the ad, and we send conversion events when someone actually books, qualifies, or buys in the conversation — so the ad platform can optimize for that, not for clicks.
Can it work our existing customer list?
Yes. That’s a first-class job, not a bolt-on. We connect the database or CRM, define who to contact and why, and put guardrails on tone and frequency so it doesn’t read as spam.
Will it sound like a chatbot?
That’s a design failure, not a given. We write the agent against your voice, your policies, and the way you already talk to customers on each channel.
What if it gets something wrong?
It will, especially at the start. That’s why we launch supervised and keep monitoring. Wrong answers and missed actions are the input to the next improvement — not a reason to turn it off and live with it.
Will outreach go out unsupervised on day one?
No. Outbound and ad chat start supervised. We widen autonomy when the error rate earns it.
Do you disappear after launch?
No. Monitoring and error-rate work is part of the service. Launch is when we start measuring it in production.
Can we take it over later?
Yes. It runs on the Zami platform. If you later want your team to own it, you’re not locked into a black box.
How does pricing work?
Custom, based on channels, integrations, list size, ad volume, and how much ongoing optimization you want. The call is to get to a number that matches the actual scope — not a one-size package.
What if Platform is a better fit?
If you have people who want to build and iterate themselves, start on Platform. Built for you is for teams that want the agent in production without making that their job.
Ready when you are.
Put an agent on the conversations you’re already paying for.
Quiet customers. Ad clicks. The inbox your team answers on repeat. Tell us which one hurts first. We’ll come back with a plan to design it, launch it, and keep the error rate moving down.
Book a call