Service
AI & Data Strategy
For organizations that want to move beyond AI slogans and decide what to actually do.
- Assessment of current data and AI landscape.
- Identification and prioritization of realistic use cases.
- High-level architecture and platform recommendations.
- Governance and operating model proposals.
Typical engagement: workshops + 4–8 weeks of focused work, depending on scope.
Service
Automated Podcasts & Content Workflows
For teams that need recurring content (news, briefings, internal updates)
and want to explore AI-assisted production without losing control.
- Design of the end-to-end content pipeline (data sources, filtering, editorial rules).
- LLM workflow design: summarization, script generation, voice and style.
- Audio generation and publishing workflows (e.g. RSS, YouTube, internal channels).
- Human-in-the-loop review, quality control and monitoring setup.
Typical engagement: discovery + pilot (6–10 weeks), with clear KPIs.
Service
Data Foundations & Product Analytics
For product and business teams that want to use data to make decisions,
but prefer something lean to a massive data program.
- Clarifying questions the business actually needs to answer.
- Defining key metrics, events and minimal data models.
- Working with your teams on instrumentation and tracking plans.
- Designing practical dashboards and decision rituals.
Typical engagement: 4–8 weeks, often alongside internal product / data teams.
Every engagement is scoped together, based on where you are and what you
realistically want to achieve. If you are unsure what you need, we can start
with a short diagnostic.
Discuss a project
