[ 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.
CONTEXT
AI system integration for the software you already run.
Sales, inventory, orders, customers, and operations already produce the information your business depends on. Getting to it is the slow part: too many clicks, a manual report, a hunt across modules. Integrating AI into existing systems doesn't start by replacing any of that.
We don't bolt a separate chat onto your software. The interface talks to the same sources and processes your business actually uses, and answers come back from live records.
CONTEXT
AI system integration for the software you already run.
Sales, inventory, orders, customers, and operations already produce the information your business depends on. Getting to it is the slow part: too many clicks, a manual report, a hunt across modules. Integrating AI into existing systems doesn't start by replacing any of that.
We don't bolt a separate chat onto your software. The interface talks to the same sources and processes your business actually uses, and answers come back from live records.
CONNECTED AI ARCHITECTURE
Your systems may live in the cloud, on your own infrastructure, or across several platforms. We design the AI system integration around the environment you already have, so it can use information, coordinate workflows, and work across the tools that keep your operation running—without forcing you to rebuild what already works.
what already works.
We make
EVERYTHING
work with AI.
One AI integration can connect your entire technology ecosystem.
Your systems may run in the cloud, on your own infrastructure, or across several platforms. We design the integration around that reality, so AI can use information and coordinate work across the tools your business already depends on.
01. Built around your architecture
We connect AI to the systems and technology your business already relies on—without forcing you to rebuild what works.
- Applications and platforms
- Data sources
- Existing infrastructure
02
02. Cloud, on-premises, or both
The integration can operate across cloud services, your own infrastructure, or a hybrid environment while keeping information within reach.
03. One connected ecosystem
AI can move information and workflows across different systems without losing continuity or context.
- Connected information
- Coordinated workflows
- Ready to grow
WALKTHROUGH
The chat is just the interface. The integration connects AI to your business data.
One request drives the whole sequence: AI connects, looks up the records, reads them in context, drafts an action, checks permissions, and shows the result.
WALKTHROUGH
The chat is just the interface. The integration connects AI to your business data.
One request drives the whole sequence: AI connects, looks up the records, reads them in context, drafts an action, checks permissions, and shows the result.
You type what you need
-
1
What the user types
Show me this week's late orders and set up the follow-up.
-
2
Plain language
Nobody has to know which module holds which field.
AI connects to your system
-
1
Approved sources
Orders, customers, inventory, and documents, opened up for lookup.
-
2
Starting point
The connection can work with software you already own, or with a new system built by VEX with the integration designed in from day one.
AI queries your data in context
-
1
Related records
AI lines up dates, statuses, and owners across the orders.
-
2
What it found
Sample view: 18 late orders; 5 are more than 48 hours late and 3 have no follow-up.
AI prepares the action
-
1
Tasks drafted
AI drafts 5 tasks, each with its order, due date, and owner.
-
2
Waiting on you
Nothing has been written to the system yet.
AI checks permissions and asks
-
1
Permission checked
AI verifies the user, their role, and the action before going any further.
-
2
Confirmation required
AI asks whether to create the 5 tasks.
AI shows the result
-
1
Action recorded
The 5 follow-up tasks are created and assigned.
-
2
Audit trail saved
Your team can review the process, pick it up, or audit it later.
CONTROL
AI works inside rules you define.
Integrating AI into business systems has to respect how each person works and what information they are allowed to use.
The same interface can serve very different people: what it reads and what it can do both depend on who's signed in and what their role allows.
CONTROL
AI works inside rules you define.
Integrating AI into business systems has to respect how each person works and what information they are allowed to use.
The same interface can serve very different people: what it reads and what it can do both depend on who's signed in and what their role allows.
OUTCOME
The conversation can end with a record written to your system.
The outcome is not a stray answer in a chat window. It's organized information, a drafted action, or an updated record, sitting in the process it belongs to. AI queries your records and updates them inside the limits you set.
5 follow-up tasks, drafted and waiting for approval
The same 5 tasks, created and assigned
OUTCOME
The conversation can end with a record written to your system.
The outcome is not a stray answer in a chat window. It's organized information, a drafted action, or an updated record, sitting in the process it belongs to. AI queries your records and updates them inside the limits you set.
5 follow-up tasks, drafted and waiting for approval
The same 5 tasks, created and assigned
FEASIBILITY
Not every system connects the same way.
Before we propose a connection, we look at how your system was built, what it exposes, and which functions we can use with controls around them.
We go through APIs, databases, documentation, authentication, infrastructure, permissions, and whatever your vendor's contract restricts.
FEASIBILITY
Not every system connects the same way.
Before we propose a connection, we look at how your system was built, what it exposes, and which functions we can use with controls around them.
IMPLEMENTATION
This is how a conversation becomes a working integration.
We scope one process first, connect only the sources it needs, and test it against real scenarios before we expand.
Discovery
We learn what information your team works with and which request AI has to handle first.
Technical review
We map the modules, access points, data sources, functions, and limits of your system.
Data, permissions, and actions
We define what AI can read, what it can draft, and what has to be approved before it's written.
Build the integration
We connect the interface, the sources, and the processes you approved.
Testing against real scenarios
We test real requests, real answers, real permission checks, and real results.
Controlled rollout
We go live with a defined scope, and expand from there.
QUESTIONS
Questions about AI system integration.
The questions buyers actually ask about the software they already have, permissions, and compatibility. Then the two that decide the shape of the project: what AI is allowed to do, and whether to build a new system with the integration designed in.
Yes — we can assess it. We look at what access the software offers, how its data is organized, and which functions it will let us connect. Integrating AI into existing systems is a technical review first and a proposal second, and if the vendor's terms block it we tell you before you spend anything.
QUESTIONS
Questions about AI system integration.
The questions buyers actually ask about the software they already have, permissions, and compatibility. Then the two that decide the shape of the project: what AI is allowed to do, and whether to build a new system with the integration designed in.
Yes — we can assess it. We look at what access the software offers, how its data is organized, and which functions it will let us connect. Integrating AI into existing systems is a technical review first and a proposal second, and if the vendor's terms block it we tell you before you spend anything.
SCOPING
Your system already has the data. Let's put AI to work on it.
SCOPING
Your system already has the data. Let's put AI to work on it.
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.
STARTING POINTS
Most integrations start with one process.
STARTING POINTS
Most integrations start with one process.
The starting point
Software you already own, or a new system built by VEX with the integration designed in from day one.
The way in
An API, a service, a documented function — or a direct read and a scheduled export when there is no API.
The boundary
Which sources AI may read, which roles may ask, and which actions it may prepare rather than perform.
The first process
One process, connected and tested against real scenarios. We expand after that one is working.
CONTACT
Tell us what you want AI to connect to.
Scoping can start from the software your company already has in place, or from the architecture of a new system with the integration designed in from day one. Either way, the first conversation is about your process, not about our stack.
CONTACT
Tell us what you want AI to connect to.
Scoping can start from the software your company already has in place, or from the architecture of a new system with the integration designed in from day one. Either way, the first conversation is about your process, not about our stack.