[ AI for companies ]
AI for companies, built around how your team works.
Most AI stalls because it assumes an operation nobody actually runs. We start from your processes, your data and your targets, so it lands inside the work.
[ Intelligent apps ]
Web and mobile apps with AI inside the workflow.
Screens your team will actually open: the work gets captured once, the AI sorts it, flags what is stuck and drafts the next step for staff, managers or customers.
[ Chat and chatbots ]
Internal AI chat and customer chatbots that answer with real data.
Internal chat so your team stops interrupting the one person who knows, plus a customer bot on web chat, email and SMS that answers from real order, account and policy data and hands off the rest.
[ AI agents ]
Agents that take the routine steps off your team's plate.
We connect AI to your systems so it can look things up, follow your rules and finish routine steps, with a person owning the exceptions.
[ AI consulting ]
AI consulting that starts with your operation, not a demo.
We walk your processes, your tools and the places where work piles up, then hand you a short list of cases worth building, ranked by effort, data and what you can measure.
[ AI in your systems ]
AI added to the systems your company already runs.
We put AI inside the software your team already opens every day: ERP, CRM, help desk, shared files, so information connects and routine work moves without starting over.
Where the day goes
The answer already exists. It's just not where the question is.
The answer is in your CRM. The question lands in a DM at 9 p.m. A person bridges the two by hand. Custom AI chatbot development closes that gap.
The same five questions
Price, hours, shipping, returns, invoices — ten times a day, by hand.
Half a request
Every reply starts by chasing an order number, an account, or a name.
Deals that never hit the system
What you agreed to in a DM never made it into the CRM.
Five reps, five answers
Everyone answers a little differently, and the customer notices.
Messages don't keep business hours
They land at 9 p.m. and on Saturday, when the desk is closed.
Where the day goes
The answer already exists. It's just not where the question is.
The answer is in your CRM. The question lands in a DM at 9 p.m. A person bridges the two by hand. Custom AI chatbot development closes that gap.
The same five questions
Price, hours, shipping, returns, invoices — ten times a day, by hand.
Half a request
Every reply starts by chasing an order number, an account, or a name.
Deals that never hit the system
What you agreed to in a DM never made it into the CRM.
Five reps, five answers
Everyone answers a little differently, and the customer notices.
Messages don't keep business hours
They land at 9 p.m. and on Saturday, when the desk is closed.
Standalone vs connected
Most chatbots are a script in a nice wrapper: no memory, no lookups, and the first question that needs a fact ends the thread. Chatbot CRM integration comes first, then we wire in the order system and the documents your team quotes from.
It answers from a script somebody wrote in advance.
-
1
Generic answers
It tells everyone the same thing, because it can't see an order, a price, or an account history.
-
2
It stops halfway
The thread ends, and your team starts the case over from scratch.
-
3
It goes stale
Every price change, policy change, or new SKU means someone reprograms it.
-
4
Nothing gets recorded
Whatever it collects stays in the chat window. Your CRM never hears about it.
It reads your live data and acts by the rules you set.
-
1
It finishes the job
It logs the lead, opens the ticket, or books the appointment in the system your team already uses.
-
2
It hands off with context
A person steps in with the thread, the data, and the reason. The customer never repeats a word.
-
3
It looks before it answers
It checks the order, the price list, or the account on file, then answers that customer.
-
4
It stays in its lane
Anything it isn't allowed to decide, it routes — with the case already written up.
Standalone vs connected
Replying is the easy half. Resolving means reading the system first.
Most chatbots are a script in a nice wrapper: no memory, no lookups, and the first question that needs a fact ends the thread. Chatbot CRM integration comes first, then we wire in the order system and the documents your team quotes from.
It answers from a script somebody wrote in advance.
-
1
Generic answers
It tells everyone the same thing, because it can't see an order, a price, or an account history.
-
2
It stops halfway
The thread ends, and your team starts the case over from scratch.
-
3
It goes stale
Every price change, policy change, or new SKU means someone reprograms it.
-
4
Nothing gets recorded
Whatever it collects stays in the chat window. Your CRM never hears about it.
It reads your live data and acts by the rules you set.
-
1
It finishes the job
It logs the lead, opens the ticket, or books the appointment in the system your team already uses.
-
2
It hands off with context
A person steps in with the thread, the data, and the reason. The customer never repeats a word.
-
3
It looks before it answers
It checks the order, the price list, or the account on file, then answers that customer.
-
4
It stays in its lane
Anything it isn't allowed to decide, it routes — with the case already written up.
Website chat, text messages, Instagram, Facebook, and WhatsApp all fire at once. Scroll, and watch a connected chatbot take each message, answer it with live data from your own systems, and hand your team only the cases that need a person — with the whole thread attached.
- Did my order ship yet?
- Can you resend yesterday's invoice?
- How late are you open today?
- My order came in short.
- Two days, still no reply.
- I can't log into my account.
- Price for the full package?
- Saw your story — still available?
- Do you ship to Ohio?
- Where can I buy this?
- What's the price with shipping?
- Do you sell wholesale?
- Where do I send my hours?
- How do I request PTO?
- Which price list is current?
- 38 unread since 6 p.m. Customers still waiting in website chat
- 56 comments with no answer Buying questions piling up on Facebook
- 48 DMs never opened Sales going cold in Instagram DMs
- 27 complaints in the queue Untouched since yesterday, over text
Sales
Support
Customers
Team
Data, decision, action
A message comes in. Something finished comes out.
Nothing here is magic. The chatbot works a request the way your best rep does: finds out what's missing, decides what kind of request it is, looks the answer up in a source that's allowed to give it, and puts the result where the rest of the company can see it. Custom AI chatbots earn their keep on that last step.
Here is how it works in your day-to-day.
Data, decision, action
A message comes in. Something finished comes out.
Nothing here is magic. The chatbot works a request the way your best rep does: finds out what's missing, decides what kind of request it is, looks the answer up in a source that's allowed to give it, and puts the result where the rest of the company can see it. Custom AI chatbots earn their keep on that last step.
Here is how it works in your day-to-day.
What you can hold us to
Fewer threads waiting on a person. More requests that actually close.
These aren't numbers from someone else's case study. The chatbot answers around the clock, on every channel you connect, and logs everything. What needs a decision waits for your team.
What you can hold us to
Fewer threads waiting on a person. More requests that actually close.
These aren't numbers from someone else's case study. The chatbot answers around the clock, on every channel you connect, and logs everything. What needs a decision waits for your team.
Five front doors, one AI chatbot for business wired into the systems behind them.
The channel starts the conversation; your connected systems are what finish it. An AI chatbot for business behaves the same everywhere it runs — one set of sources, one set of rules. The inbox changes. What it knows doesn't.
In practice
Five conversations you already have. Same build, five outcomes.
Support calls it an AI customer service chatbot. Sales calls it a sales chatbot. One build, two sets of permissions.
In practice
Five conversations you already have. Same build, five outcomes.
Support calls it an AI customer service chatbot. Sales calls it a sales chatbot. One build, two sets of permissions.
Sales
"Price for the full package?" It quotes from the current price list and checks the account. Outcome: lead created, with contact details.
Support
"My order came in short." It asks for the order number and a photo. Outcome: ticket opened, with priority set.
Customers
"Did my order ship yet?" It reads the live status in the order system. Outcome: a tracking number, pulled from the record.
Vendors
"What's still missing on our end?" It checks the documents on file against what the account needs. Outcome: request logged, owner notified.
Team
"How do I request PTO?" It answers from the current policy. Outcome: answered from the policy, with the source linked.
"Did my order ship yet?" It reads the live status in the order system. Outcome: a tracking number, pulled from the record.
What it's allowed to do
Before it answers a single customer, you sign off on four boundaries: what it can read, what it can say, what it can do on its own, and where it stops and hands off to a person. It never goes past them.
What it's allowed to do
It speaks for your company. That's why the limits come first.
Before it answers a single customer, you sign off on four boundaries: what it can read, what it can say, what it can do on its own, and where it stops and hands off to a person. It never goes past them.
How we build it
We ship one flow at a time. We're an AI chatbot development company, not a platform reseller. We run nearshore AI chatbot development from Morelia, Mexico — Central Time year-round, within two hours of both US coasts.
Message review
01
We read a real week of your inbound: what gets asked, how often, and who answers it today.
Sources and access
02
We map which systems hold the answers — CRM, orders, tickets, docs — and what access each one needs.
Conversations and edge cases
03
We write how it answers, and the questions it should refuse to guess at.
Rules, permissions, handoff
04
We define what it can write back, under whose authority, and when it stops and calls a person.
Pilot and tuning
05
We run it on real messages, one channel and one flow, then widen it.
How we build it
From a backed-up inbox to a chatbot that ships in stages.
We ship one flow at a time. We're an AI chatbot development company, not a platform reseller. We run nearshore AI chatbot development from Morelia, Mexico — Central Time year-round, within two hours of both US coasts.
Message review
01
We read a real week of your inbound: what gets asked, how often, and who answers it today.
Sources and access
02
We map which systems hold the answers — CRM, orders, tickets, docs — and what access each one needs.
Conversations and edge cases
03
We write how it answers, and the questions it should refuse to guess at.
Rules, permissions, handoff
04
We define what it can write back, under whose authority, and when it stops and calls a person.
Pilot and tuning
05
We run it on real messages, one channel and one flow, then widen it.
In their words
The proof isn't the demo. It's the week after launch.
Client quotes are being cleared for publication. We only publish them once the wording, name, role, and company have been approved in writing.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
In their words
The proof isn't the demo. It's the week after launch.
Client quotes are being cleared for publication. We only publish them once the wording, name, role, and company have been approved in writing.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
El chatbot responde a nuestros clientes con datos reales y el equipo solo atiende los casos que piden criterio.
Start here
Tell us which messages bury your team. We'll tell you which ones a chatbot can close.
Send us one real week of your inbound. We'll come back with the flows worth building, what each has to read and write, and what it takes to ship the first. Nearshore, on Central Time — an answer within your business day.
Start here
Tell us which messages bury your team. We'll tell you which ones a chatbot can close.
Send us one real week of your inbound. We'll come back with the flows worth building, what each has to read and write, and what it takes to ship the first. Nearshore, on Central Time — an answer within your business day.