HUMINT
AI consulting · Berlin

HUMINT

Human intelligence. AI powered. I help companies turn AI ideas into working products, workflows, and decisions they can actually use.

Independent advisory and fractional product leadership for teams that need strategy, implementation, and the bridge between them. Available for EU and remote engagements in English, German, and Dutch.

Book an intro callSee selected work
Hands-on AI systemsProduct and implementationGDPR and EU AI Act aware
About
Portrait of Dina Bosma-Buczynska

I am an AI consultant and product leader with four years of experience building internal tools, sales platforms, and operational processes, most recently at Outfittery.

In 2026, I completed an intensive AI Consulting and Integration bootcamp where I built working systems from scratch, including agents, RAG pipelines, ML models, and n8n workflows.

My capstone project, Spottr, was designed as a full consulting engagement: business case, working MVP, GDPR documentation, and an EU AI Act compliance pack.

Before product, I worked as a stylist. Later, I became the PM building tools for stylists. That perspective shaped how I work: I care about the people using the system, not just the system itself.

I work best with companies that need someone who can move between strategy, stakeholders, product decisions, and implementation without getting stuck in theory.

Based in Berlin. Working in Dutch (native), English (C2), German (C1), and Russian (B1).

What I do

Services.

Engagements

Who I work with.

Who I work with

  • Startups and scale-ups building their first meaningful AI layer
  • Product teams shipping AI features without deep internal AI expertise
  • Retail, e-commerce, and service businesses with operational bottlenecks and unused data
  • Founders who need someone who can talk to engineers and business stakeholders equally well

When it tends to fit

  • Your team has identified an AI opportunity but has not turned it into a real build yet
  • You have tested tools, but nothing has stuck operationally
  • Your project is stalled between idea, implementation, and adoption
  • You need hands-on help, not just a slide deck
Selected work

Case studies.

Outfittery

AI-Assisted Stylist Platform

Product Manager, internal tools

Led product for an internal AI-assisted platform used by the stylist team. Defined the problem with operations, scoped the build with engineering, and shipped iteratively into live workflows. Focused on measurable operational gains while keeping stylists in control of the customer-facing decisions.

  • Productised an internal AI-assisted styling tool used daily by the team
  • Aligned engineering, operations, and commercial stakeholders around one roadmap
  • Shipped incremental releases into production without disrupting live operations
+17%
efficiency (29 → 34 orders/day)
−80%
manual coordination workload
Spottr / Capstone Project

AI Member Retention for Boutique Fitness Studios

End-to-end AI consultant engagement

Structured as a real consulting engagement, from business case to working product to compliance. Identified churn as the core commercial problem for boutique studios, built and validated a working MVP, and packaged the result with the documentation a buyer would actually need before adopting AI.

  • Business case and commercialisation roadmap
  • Working MVP: churn model (92.5% accuracy, 0.977 AUC-ROC) plus n8n-automated weekly coach briefings
  • GDPR documentation covering wearable and member data
  • EU AI Act compliance pack ready for stakeholder review
33 days
break-even point
1,099%
projected 12-month ROI
Based on a modelled scenario: 200-member studio, €3K implementation cost
Python·scikit-learn·LangChain·n8n·GDPR·EU AI Act
View project ↗
Pitch deck
Spottr. Smart Member Retention.

PDF, 8 slides

Download deck ↓
Also

Projects and labs.

Independent technical work outside of client engagements. Available on request.

How I work

A clear engagement.

  1. Clarify the business problem

    Cut through the noise. Define what success actually looks like before touching a model or a tool.

  2. Shape the right solution

    Decide what to build, what to buy, and what to leave alone. Honest trade-offs, no vendor allegiance.

  3. Build the first valuable version

    Ship a working slice, not a slide deck. Agents, RAG, automations, or product features, scoped to deliver value early.

  4. Make it usable in the real world

    Adoption, handover, compliance, and the human side. The part most AI projects underestimate.

Credentials

Background and certifications.

Experience

  • Product Manager, internal toolsOutfittery4 yrs

    Shipped internal AI-assisted and operational tools used daily by stylists and operations teams.

Certifications

  • AI Consulting & IntegrationIronHack2026

    Intensive programme covering agents, RAG, ML, automation, GDPR and EU AI Act, delivered through a full client-style capstone.

  • Microsoft Certified: AI-900 Azure AI FundamentalsMicrosoft

    Foundational certification in AI workloads, responsible AI, and Azure AI services.

Contact

Let's talk.

Based in Berlin. Available for consulting, workshops, and fractional PM work across Europe.

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