Use-case mapping
We identify where AI creates value in your business, and, just as importantly, where it doesn't.
AI integration
Let's integrate AI, where it actually changes something.
We bring artificial intelligence into your business as a real system, not a gadget. Sometimes into software you already use, sometimes into something we build for you. Always connected to your data, designed to do concrete work every day.
AI is only valuable when it's plugged into your reality. We build it as a reliable system, not a demo.
Everyone wants to "do AI". Few companies know where it actually creates value. That's where we start: pinpointing the tasks, decisions and flows where AI saves time or improves quality, and setting the rest aside.
Then we build. An agent that answers from your documents, a copilot that assists your teams, a component that fits into your existing software. We lean on RAG to ground answers in your data, not on guesswork.
And we productionize it: tests, guardrails, quality tracking over time. AI in production, not a demo that impresses in a meeting and disappoints the next day.
- Grounded in your data. RAG ties the AI to your documents and databases, sourced answers, not invented ones.
- Integrated with what you have. In your software, your CRM, or a new interface, whatever serves best.
- Under control. Guardrails, human validation when needed, traceable answers.
- Measured. We track quality and cost over time, and tune instead of guessing.
- Security and privacy. Your data stays yours: controlled access, encrypted exchanges and compliance with Quebec's Law 25 and the GDPR.
How it works
From idea to AI in production
We prove the value on a real case before investing at scale.
Prototype on your data
We test quickly on a real case to validate the impact before investing.
Productionizing
We industrialize it: RAG, guardrails, integration into your tools and flows.
Monitor & improve
We measure quality, fix issues, and extend the AI to the next use cases.
Client case
An AI-first vision, structured end to end
From framing to architecture, an agentic system built to last and to be reused.
Automotive CRM, Mirabel (Quebec)
Maubius CRM
Maubius set out to build the first 100% AI automotive CRM. Backed by a co-founder of ActivX, Canada's most-used CRM, the project starts from a blank page. bkbx was brought in for the entire structuring and architecture phase: framing the vision, defining the product's capabilities and the field of what's technically possible. We worked alongside Maubius as a true partner.
The challenge
- Build the first 100% AI automotive CRM, from a blank page
- Secure sensitive customer data in a multi-tenant environment
- Hold up at the scale of millions of records
- Share common intelligence across clients without ever crossing their data
- Cover several uses: process automation, RAG over the data, marketplace agents and internal agents (employees and customers)
What we shipped
- The full structuring and architecture of an AI-first CRM
- An end-to-end agentic system, hosted on AWS
- A modular, reusable architecture: the agents live independently from the CRM and can serve elsewhere
- Partner-level support on the product vision and what's technically possible
FAQ
Frequently asked
Does our data stay private?
Yes. We design every system so your data stays with you and is never used to train third-party models. Privacy is a starting requirement, not an option.
Will the AI hallucinate?
We limit that risk with RAG: answers draw on your documents and cite their sources. We add guardrails and, where it's critical, human validation.
Do we have to replace our software?
No. We integrate AI into what you already use whenever possible, and only build a new interface when it genuinely adds something.
Where do we start?
With a concrete, measurable use case. We'd rather prove value on a clear scope before expanding.
Got an AI idea in mind?
Tell us where you'd use it. We'll tell you honestly if it holds up, and how to build it.
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