Embedded
Expertise
Zartis AI Experts embedded into your teams
From an AI expertise gap to senior specialists guiding delivery
We help you to:
Scope the roles and skills your project actually needs
Match senior AI-ready engineers and specialists to your needs
Embed them fully into your team, stack, and workflows
Keep AI usage governed as delivery scales
Scale team size up or down as priorities shift
What you get
Here's what working with an embedded Zartis expert looks like
AI-first, Claude fluent
Every engineer works AI-first as standard. We are a Preferred Services Partner in the Claude Partner Network.
Senior from day one
No ramp-up, no learning curve. Every embedded expert has delivered AI-powered work before.
Scales with your needs
Add one engineer or a full team, and scale up or down as the work changes.
Speed with governance
AI usage that's productive and compliant from the start, so speed never costs control.
Different specialists
for different needs
Organisation Navigators
AI Alignment
Experts who give your organisation a clear, evidence-based picture of its current AI maturity, an agreed target state, and a practical roadmap to close the gap, then help you run it.
- AI maturity assessment
- Transformation roadmap and prioritisation
- Operating model design, built on ATOM
- Governance, structure and ways of working
- Maturity progression across iterations
People Navigators
AI Enablement
Technical experts and coaches embedded directly into your teams to turn AI tools into daily habits, through structured, hands-on enablement.
Navigator (Tech): runs Claude Code workshops and multi-cohort enablement programmes for engineering teams, embedding AI into the SDLC
Navigator (Non-Tech): coaches non-technical teams through AI adoption with Claude Cowork, from first workshop to habitual, business-wide use
AI Developers
AI Development
Our senior AI experts, who design and build the AI systems themselves, spanning custom agentic solutions, AI data platforms, AIOps and infrastructure.
GenAI Engineers and Architects: RAG pipelines, retrieval architecture, multi-agent systems, evaluation frameworks and guardrails
AI Specialists: Software, Data, DevOps, QA and Product roles who build, run and validate AI-powered products end-to-end
AI Champions
Cross-cutting
Specialists who stay embedded with you to drive AI adoption across the whole organisation, from change management at C-level to designing and building the most complex agentic solutions.
- AI strategy and transformation leadership, up to C-suite
- Adoption and change management across every department
- End-to-end implementation, from agentic workflows to custom systems
- Architecture of the most complex agentic solutions and integrations
The Zartis Way
AI you can trust and control.
Shaped in the lab and proven through real-world experience.
Frameworks
- Zartis Laws of Enterprise AI
- ATOM: Proprietary AI Trust Operating Model
- AI Maturity Matrix
Tooling
- Zartis Academy
- Z-CORA: Proprietary Claude Plugin Family
- Z-Forge: Agentic Harness with Trust Score
Unique IP
- Skills 3.0: Heuristics & Praxis
- Agentic Trust Architecture
- Cognitive Units
Tangible business value
Real transformation, driven by real expertise.
FAQs: Embedded AI Experts
What does 'embedded expertise' mean when working with Zartis?
Embedded expertise means senior AI and engineering specialists join your team directly, working inside your existing tools and processes rather than delivering fixed-scope work from the outside. Depending on what you need, that can include AI-powered engineers, GenAI engineers who build AI systems, or AI Navigators and Champions who drive adoption across your organisation. It is a form of team augmentation built around AI-era roles and skills, not a training programme or a consulting engagement that ends with a report.
How do you ensure quality and security across embedded AI experts?
Every embedded expert follows enterprise-grade practices: governed AI usage, secure development workflows, established code review standards, and compliance-aware delivery. Before anyone joins your team, they go through Zartis’s technical vetting process, and you retain the final say on who is assigned. We align with your existing security and governance requirements rather than asking you to adapt to ours.
Which locations does Zartis provide embedded AI experts from?
Our AI experts work across EMEA and LATAM, with offices in Ireland, UK, Spain, Germany, Portugal, and Poland. Zartis is a remote-first company, so most embedded experts work remotely across European and North American time zones.
Can I embed a single expert, or does it need to be a full team?
Either. Zartis has augmented AI and software teams of every size, from one dedicated engineer to large cross-functional teams. The right size depends on the problem you are solving rather than a minimum engagement threshold, so we scope the team to the work, not the other way around.
Are embedded experts assigned full-time or part-time?
As a rule, embedded experts are assigned full-time to a single client project, because staying focused on one team’s problems produces better outcomes than splitting attention across several. If your situation genuinely needs part-time support, we can tailor the arrangement, though full-time embedding remains the default recommendation.
In the case of AI Navigators and Champions, coaching and guidance engagements can be shorter, with regular touch points across an agreed-upon timeframe.
What is the commercial model, and how long does it take to get someone embedded?
Embedded expertise runs on a time-and-materials model with daily rates, so you pay for the days worked while Zartis covers holidays, sick leave, and other overheads. Timelines depend on the seniority and specialism required, but most engagements start with a defined scope and a short matching phase before onboarding begins.
Who owns the intellectual property created by embedded experts?
You do, entirely and always. Every line of code, every model configuration, and every workflow built during an embedded engagement belongs to your organisation, with no retained rights on Zartis’s side.
What happens once an embedded engagement ends?
At the end of an engagement, Zartis runs a structured handover: documentation, codebase walkthroughs, and knowledge transfer to whoever takes on the work next, whether that is your internal team or a new engagement. There is no cliff-edge exit. Engagements can also extend, scale up, or scale down as your priorities change, without renegotiating the relationship from scratch.