AI and automation
Artificial intelligence and automation that do real work.
AI is worth it when it removes repetitive work, answers with reliable information or speeds up decisions. We start with the process and then choose the technology, not the other way around.
What we do
What we build
- 01
Assistants over your information
Manuals, contracts, catalogs and policies turned into an assistant that answers and shows where the answer came from.
- 02
Customer service agents
They answer common questions, qualify leads and hand the conversation to a person when needed.
- 03
Workflow automation
Data entry, approvals, alerts, reminders and reports that run on their own.
- 04
Document processing
Invoices, purchase orders and forms turned into data ready for your systems.
- 05
AI inside your software
Intelligent features built into the tools your team already uses.
- Share your idea
And whatever your imagination calls for.
If you can describe it, we can design it with you. The list above is just the starting point.
How we decide
When it fits, and when it doesn’t yet.
Not every problem is an AI problem. This is what we check before recommending it:
- 01
Good fit
Repetitive tasks with clear rules, lots of information scattered across documents, questions your team answers every day.
- 02
Not yet
When the process is still undefined. Fix it first; automating a mess only makes it faster.
- 03
With human review
When a mistake has serious consequences. AI prepares, a person approves.
Your data, under control
We define what information each system uses, who has access, where it is stored and which model provider is used. When the case calls for it, we evaluate models that run on your own infrastructure.
Investment
How pricing works
Every proposal is based on:
- 01Volume of documents or conversations
- 02Number of users
- 03Channels: web, WhatsApp or email
- 04Integrations with your systems
- 05Cloud or your own infrastructure
The proposal includes the estimated monthly running cost, not just the build cost.
Common questions
Frequently asked questions
What is a RAG assistant?
RAG stands for retrieval-augmented generation. The assistant first searches your documents and answers based on them, showing the source. That reduces made-up answers and lets you verify every response.
Can AI make things up?
No AI system is infallible. We design to reduce that risk: answers with sources, clear limits on what it can answer, testing before launch and escalation to a person.
What should we automate first?
Whatever repeats often, follows clear rules and consumes hours of valuable people today. On the first call we identify two or three candidates and their rough impact.
How much does a customer service agent cost?
It depends on conversation volume, channels and how much information it needs to consult. We give you a range that includes the build and the monthly running cost.
Can it work without sending my data to the cloud?
In some cases yes, with models running on your own infrastructure. It depends on volume, required quality and budget. We evaluate it with you.
Let's talk for 30 minutes.
Tell us what's slowing you down. If we can help, we'll tell you how and what it would cost. If we're not the right fit, we'll tell you that too.