The AI Implementation Partner
That Actually Ships

An AI implementation partner is a specialist firm that takes responsibility for shipping AI into production - not just advising on strategy. A real partner owns the build, the integration with your existing systems, the change management and the post-launch optimisation. Alice Labs is an AI implementation partner: we sign up for outcomes, not slide decks.

Most AI consultancies stop at strategy or proof-of-concept. An implementation partner owns the entire delivery cycle: discovery, architecture, build, integration, deployment, governance and operate. Alice Labs combines senior strategists with senior engineers in one team - so the people who scope the work also deliver it.

Three reasons: (1) consultants hand off to in-house teams that lack capacity or context, (2) proof-of-concepts get built without integration, security or governance considered, and (3) there is no clear owner for post-launch operations. Alice Labs solves all three by being the single accountable partner from day one through scale.

End-to-end delivery: prioritised use-case roadmap, reference architecture, production-grade build (LLM apps, agents, RAG, automation), integration with CRM/ERP/data platforms, EU AI Act and GDPR compliance, change management, training, monitoring and a multi-year scale plan. All under one engagement, one team, one accountable partner.

Look for four things: (1) senior team only - no oversized bench, (2) production references, not pilots, (3) commercial alignment - fixed-price or outcome-based pricing, not endless time-and-materials, and (4) governance and compliance built in. Ask for case studies showing AI in production for 12+ months with measurable ROI.

AI release management is the discipline of deploying, monitoring and updating AI systems safely - including model versioning, A/B testing, rollback procedures, performance monitoring, drift detection, incident response and stakeholder communication. Alice Labs provides AI release management as part of every implementation and as a standalone service for enterprises with internal AI teams.

Both models work. We can deliver as a fully outsourced AI partner, embed engineers into your team, or work hub-and-spoke with your internal AI function leading and Alice Labs delivering specific workstreams. Most enterprise clients choose hybrid: we lead the first 2-3 implementations, then transfer ownership to the internal team while continuing to deliver new use cases.

Typical engagements range from €80,000 for a single use-case implementation to €1.5M+ for multi-year enterprise partnerships. We offer fixed-price implementations (clear scope, clear price), monthly retainers from €15,000/month for ongoing partnerships, and outcome-based pricing for select engagements where ROI is measurable.

A focused single use-case implementation typically takes 8-16 weeks from kick-off to production. Enterprise multi-use-case programmes run 6-12 months for the first wave, with continuous rollout thereafter. Alice Labs commits to production deadlines in writing - if we miss, you do not pay for the overrun.

Book a confidential 45-minute discovery call. We discuss your priority use cases, current technology stack, regulatory context and partnership preferences. If there is a fit, we propose a 4-week discovery sprint that produces a prioritised roadmap, reference architecture and detailed implementation plan - typically €25,000-€40,000 - with no obligation to continue.

AI distribution management consulting covers demand forecasting, replenishment optimisation, route and slot planning, and warehouse execution decisions that use ML or LLM agents against WMS, TMS and ERP data. Alice Labs delivers this as a fixed-price AI implementation partnership: baseline the current distribution KPIs, ship one high-value model into production against the existing distribution stack, then layer additional decision points under a shared release management runbook.

Yes. Alice Labs delivers AI and ML implementation for European public-sector bodies at national, regional and municipal level, with EU AI Act high-risk classification, transparency register documentation and human-oversight controls built in from day one. Engagements are structured as fixed-price implementation partnerships rather than open-ended time-and-materials, so procurement teams can approve against a clear scope and outcome.

Yes. Every Alice Labs implementation includes structured capability transfer: architecture and runbook documentation, hands-on engineering training for the receiving team, ongoing release management support, and a written exit plan. Standalone AI implementation support and training retainers start at EUR 15,000/month and cover release management, drift monitoring, on-call support and continuous optimisation for AI already in production.