Executive Briefing
An intro to the building blocks of an AI strategy, an honest read on your strengths and gaps, and a benchmark against where your industry is heading.
Duration1 hour
ForLeadership
AI · Consulting & development
AI consulting and agent development for real products.
AI strategy, development, and operations for startups and SMBs, from a Berlin product studio. Scoped, shipped, documented, the same way we deliver everything else.
From idea to operation
Value in weeks, not years.
We work in proven steps so value lands fast. Pick the track that matches where you are: shaping a strategy, building a solution, or running one in production.
Methods Session
We teach the methods for scoring and prioritising AI use cases, worked through on your own real examples.
Duration2 days
ForLeadership & department heads
Use-Case Identification
Systematic discovery, scoring, and prioritisation of AI use cases by analysing your processes and data.
Duration2 to 4 weeks
ForProcess owners, data & IT
AI Strategy & Roadmap
We help you set priorities and shape a roadmap for AI that creates lasting, measurable value.
Duration8+ weeks
ForLeadership, AI & data teams
Executive Briefing
We evaluate and sharpen a specific AI use case for your business, so the build starts from a clear target.
Duration1 hour
ForLeadership, process & AI experts
Value Assessment
We quantify the use case against real business metrics and weigh its strategic relevance.
Duration2 days
ForProcess experts
Technical Assessment
Initial data analysis, risk identification, and a whole-system approach to confirm what is actually feasible.
Duration3 days
ForData & IT
AI Implementation
Fast, user-centred, data-driven development of the solution, with a constant focus on real value.
Duration8+ weeks
ForProject champion
Go-Live
Requirements analysis, solution design, and integration of the AI solution into your existing systems.
Duration2+ weeks
ForOur team and yours
Monitoring
Automated monitoring of data, models, and metrics, with hands-on guidance through day-to-day operation.
DurationOngoing
ForOur team
Continuous Improvement
New model versions are built, tested, and shipped automatically as conditions change.
DurationOngoing
ForOur team
01 · AI Strategy
From scattered ideas to a plan that pays off.
AI touches every function and most processes. A deliberate approach is what separates lasting, measurable returns from expensive experiments, and we meet you wherever you are on the journey.
- Support at every stage of your AI journey, from first question to live system.
- A whole-picture view: processes and structure, training and culture, not just the model.
- Methods and training built in, so your team can carry the work forward.
AI Opportunity Workshop
Learn our scoring method and apply it to your own use cases, so leadership can prioritise the ones that genuinely create value.
Use-Case Exploration
A systematic scan of your processes and data that surfaces and prioritises candidate use cases along technical and commercial lines.
AI Roadmap
Beyond one-off cases: we help you build the processes and structures, from data to talent, that make AI repeatable.
02 · AI Development
Want to turn a use case into a working product?
Our project teams build to a high bar: AI use cases delivered fast, data-centred, and user-focused, the same way we ship everything else.
- Deep expertise across modalities: vision, language, and structured data.
- Custom, end-to-end solutions rather than off-the-shelf demos.
- AI that augments the processes you already run, with users at the centre.
Feasibility Study
Spot the potential and kill the risk early. Our experts assess technical complexity quickly and honestly, before anyone commits.
MVP Development
We build whole AI systems and get functionality in front of users fast, so feedback steers a focused, user-centred build.
Production System
Maximum reliability: production AI systems run through proven testing and continuous monitoring on solid foundations.
03 · AI Operations
From experiment to dependable operation.
We make sure the AI we build keeps creating value. We run AI systems and help your team build the operational muscle to do the same.
- Automated pipelines and proven testing as standard.
- Robust, reliable systems through continuous data and model monitoring.
- Regular updates and re-training, so the system keeps pace with reality.
MLOps Strategy
A tailored operations strategy based on your organisational and technical needs, with an eye on where the tooling is heading.
MLOps Setup
We stand up open-source-based infrastructure and bring your team up to speed: ship models to production and monitor them automatically.
Run & Maintain
We operate your AI systems and keep them transparent through dashboards, with regular updates from people who know the system.
Use cases
What we can build for you.
Concrete starting points, not slideware. Click any one for the challenge it solves, how it works, and what we deliver.
Customer-support agent
An agent that answers, triages, and escalates support requests against your own knowledge base, with a human kept firmly in the loop.
- Grounded in your docs
- Triage + escalation rules
- Helpdesk integration
Document extraction
Invoices, contracts, and forms turned into clean structured data, with confidence scores and a review step for the edge cases.
- Invoices, contracts, forms
- Structured output + scoring
- Human review queue
Internal knowledge copilot
A chat layer over your wikis, tickets, and drives, so the answer your team needs is one question away instead of one Slack thread away.
- Search across your sources
- Cited, traceable answers
- Permission-aware access
Process automation
Multi-step workflows with an AI decision point in the middle, intake, classify, route, draft, so the repetitive path runs itself.
- Intake & classification
- AI decision steps
- Monitoring + error handling
Lead & data enrichment
Research, qualify, and route automatically. The agent gathers the context a human would and hands over a clean, scored record.
- Automated research
- Scoring + qualification
- CRM sync
AI features in your product
Semantic search, recommendations, or generation built directly into the app you already ship, as a real feature, not a bolted-on demo.
- Semantic search
- Recommendations
- In-product generation
Workshops
Start with a workshop.
Practical, structured, immediately applicable. Run by the same people who build the projects.
AI Foundations for Teams
Half-day to 1 day- Part 1: How LLMs actually work, without the hype.
- Part 2: Use cases by function (ops, sales, support, content).
- Part 3: Build vs. buy vs. avoid, and how to evaluate tools.
Agentic Workflow Design
1 Day- Morning: Agent design patterns, tooling landscape, and failure modes.
- Afternoon: Architecture workshop, design your own agent with guardrails and eval.
- End: Prioritised roadmap with effort and risk estimates.
Use Case Discovery & Roadmap
1–2 Weeks · Hybrid- Week 1: Process audit, stakeholder interviews, and opportunity mapping.
- Week 2: Use case scoring workshop, roadmap design, and final presentation.
FAQ
Questions teams ask us.
What does an AI project cost?
Most AI engagements start around €10k and scale to €80k depending on scope. A use-case workshop is a lower-threshold way to begin. We scope before we quote, so the number is grounded in real work, not a guess.
How long does it take to build an AI agent?
A working prototype on your real data takes one to two weeks. A production agent with evaluation and guardrails typically ships in four to eight weeks. We deliver in increments, not big-bang.
Do we need our own data or an in-house data team?
No. We work with the data and tools you already have. Where data is thin, we design around it. You don't need a data team to start, that's our job.
Which AI models do you use?
We're model-agnostic. OpenAI, Anthropic, and open-weight models are all on the table. We pick per use case and avoid locking you to a single vendor.
How do you keep AI reliable in production?
Every build ships with an evaluation harness and guardrails. We measure against real outcomes before rollout and hand over the tooling so your team can keep evaluating after we leave.
Can you advise without building?
Yes. The use-case discovery workshop and the prioritised roadmap are standalone. Plenty of teams start there before deciding what, or whether, to build.
Get started
Start a conversation →
Ready to put AI to work?
Tell us where the manual work is. We scope a use case, prototype it on your data, and ship something your team can own.