A Brussels consultancy where scoping, decisions and delivery remain connected to the same accountable person.
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.
CREATION VISION ORCHESTRATION
MENTIONS & CONTRIBUTIONS
Publications about our approach to AI and automation, with links to read each in context.
Article contribution
SEORCE cites Hani Kanaftchian, founder of Kanexio, drawing on the Atmos Technics case: operational data, field terminology and human review to guide AI-assisted writing.
Article in English.
Read the article on SEORCE (opens in a new tab)Provider comparison
Kanexio ranks second among six AI automation providers for Belgian SMEs. The article highlights the transparency of its method and publicly available case studies.
Editorial comparison published by ATTA, which is also included in the ranking.
Read the ATTA comparison (opens in a new tab)Article contribution
In its guide to Claude, Coupler.io quotes Hani Kanaftchian, founder of Kanexio, on normalising data from multiple sources: reconcile identifiers and define the business context before asking AI to analyse it.
Article in English.
Read the article on Coupler.io (opens in a new tab)01 · Scoping
Objectives, access, responsibilities, acceptance criteria and limitations are set out in the proposal. Unknowns remain visible rather than being turned into promises.
02 · Verification
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 supports a decision
Your decision
Its source
Concrete data, or information explicitly identified as missing.
Its hypothesis
What we are seeking to verify, with its limitations.
Its check
A validation criterion and a baseline for interpreting what follows.
A decision identifies its source, hypothesis and validation criterion. When data is missing, it is requested or declared unknown.
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.
A baseline is established before interpreting a change. Deliverables are checked and external results are reported without invented causality.
Let's talk about your project. A free conversation, with no obligation.
