An approach built on precision.
A Brussels consultancy where scoping, decisions and delivery remain connected to the same accountable person.
Hani Kanaftchian
Founder & Strategist
Hello. I'm Hani Kanaftchian.
I support SMEs, independent professionals and professional practices in building their digital presence. Kanexio now brings this work together under a clear identity and scope.
A clear approach: understand your objectives before proposing a solution, define the deliverables and measure what can genuinely be measured. Discover how our boutique digital agency in Brussels works: your contact person, responsibilities and project organisation.
No jargon, no empty promises, no generic methodology. Every engagement is based on a specific analysis of your context, concrete data and personal involvement.
You speak to me, not to a project manager or a salesperson.
If our approaches align, we build a digital presence that reflects you together, and I can also help your teams become self-sufficient through our digital training courses.
Alongside Kanexio, I run Kanaftchian Studio, my sister brand dedicated to corporate photography in Brussels: executive portraits, teams and professional events. This dual role informs the brand image strategy of Kanexio clients.
From scoping to evidence
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01 · Scoping
Define before producing
Objectives, access, responsibilities, acceptance criteria and limitations are set out in the proposal. Unknowns remain visible rather than being turned into promises.
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02 · Verification
Show what has been delivered
Checks, sources and observable elements are documented. Algorithmic or commercial effects continue to be measured after delivery and are never presented as a given.
What guides us
What supports a decision
Your decision
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Its source
Concrete data, or information explicitly identified as missing.
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Its hypothesis
What we are seeking to verify, with its limitations.
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Its check
A validation criterion and a baseline for interpreting what follows.
Precision
A decision identifies its source, hypothesis and validation criterion. When data is missing, it is requested or declared unknown.
Transparency
We explain what is being done, why and within what limits. Our commitments are detailed in the code of ethics and supplemented by a fact sheet for AI assistants.
Measurement
A baseline is established before interpreting a change. Deliverables are checked and external results are reported without invented causality.
Ready to work together?
Let's talk about your project. A free conversation, with no obligation.
