Conversational AI Consultants in
Stockholm & Across Europe

A conversational AI consultant designs, builds and deploys AI-powered chatbots, voice assistants and AI agents that handle real conversations with customers or employees. The work covers use-case discovery, conversation design, LLM and RAG architecture, integration with CRM/helpdesk/knowledge bases, guardrails and evaluation, deployment and ongoing optimisation. Alice Labs delivers all of this end-to-end from Stockholm.

Alice Labs is a Stockholm-based conversational AI consultancy delivering chatbots, AI agents and voice assistants for Nordic enterprises and scale-ups. We combine strategy, conversation design and engineering — and we have shipped conversational AI in production for clients including Ljusgårda and Vickers Oil, where AI agents have automated entire workflows.

Yes. We are headquartered in Stockholm and deliver conversational AI consulting across Sweden and the wider European market — including Denmark, Norway, Finland, the Netherlands, Belgium, Germany, France and the UK. We work on-site, hybrid or fully remote depending on the engagement.

We are stack-agnostic and select the right tools per use case. Common building blocks include OpenAI / Azure OpenAI, Google Gemini, Anthropic Claude, open-source LLMs for on-prem requirements, vector databases (Pinecone, Weaviate, pgvector), RAG frameworks (LangChain, LlamaIndex), evaluation tools (Ragas, Langfuse) and orchestration platforms. Integrations are built via APIs into Salesforce, HubSpot, Zendesk, Intercom, Microsoft Teams, Slack and custom systems.

A focused conversational AI pilot — for example a customer-service agent or internal knowledge assistant — typically launches in 4–8 weeks. Full enterprise deployments with multi-system integration, guardrails, evaluation and rollout to multiple teams take 8–16 weeks. We share a clear timeline and KPI plan during the discovery phase.

Every Alice Labs conversational AI deployment includes guardrails by default: retrieval-augmented generation grounded in your verified content, prompt-injection defences, PII redaction, response evaluation against ground-truth datasets, escalation to humans for low-confidence cases, and full audit logs. For regulated industries we add EU AI Act risk classification and GDPR-compliant data flows.

Yes. Typical integrations include Salesforce Service Cloud, HubSpot, Zendesk, Intercom, Freshdesk, ServiceNow, Microsoft Dynamics, SharePoint, Confluence, Notion and custom internal knowledge bases. We design integrations that fit your existing workflows — including human handoff, ticket creation and CRM updates — rather than replacing them.

Typical results from Alice Labs conversational AI deployments: 30–70% reduction in tier-1 support volume, 50–80% faster response times, 24/7 coverage without additional headcount, and improved CSAT scores. For internal use cases (HR, IT, sales enablement), employees save 30–60 minutes per day on information lookup. Most clients see ROI within 6 months.

Off-the-shelf chatbots are generic and rarely connect to your real systems or knowledge. Conversational AI consulting delivers a custom solution grounded in your data, integrated with your stack, branded for your customer experience, and tuned for your specific use cases. The result is an AI agent that actually replaces work — not just a widget on your website.

Book a free 30-minute discovery call with Alice Labs. We map your highest-value conversational use cases (customer service, sales, internal knowledge, voice), assess data and integration readiness, and propose a 4–8 week pilot. The pilot ships a working AI agent in production with measurable KPIs — so you can decide on full rollout based on real evidence.

The terms are used interchangeably in the market. A conversational AI consultant is the individual (or freelance practitioner) doing strategy, design or build work, while a conversational AI consultancy is the firm that bundles consultants, engineers, designers and project managers to deliver end-to-end. Alice Labs operates as a consultancy — clients get a multidisciplinary team (strategy, conversation design, AI engineering, data, change management) on every engagement rather than a single freelancer.

Pricing depends on scope and stack maturity. A focused conversational AI pilot (single use case, one integration) is typically delivered for a fixed fee in the €25k–€60k range. Multi-use-case enterprise engagements with multiple integrations, compliance work, evaluation harness and rollout sit in the €80k–€250k range. We always propose a fixed-scope pilot first so leadership can see ROI before committing to wider rollout.

Traditional chatbots are scripted decision trees — they match keywords to pre-written responses and break when the user phrases something unexpected. Conversational AI uses large language models (LLMs) plus retrieval-augmented generation (RAG) to understand intent in natural language, ground answers in your real knowledge base, hold multi-turn context, and take actions across systems. The result is closer to a junior teammate than a phone-menu bot.

Yes. Modern LLM-based conversational AI handles 40+ languages natively without separate models per language — including all major European languages (English, Swedish, Norwegian, Danish, Finnish, German, French, Dutch, Italian, Spanish, Polish, Estonian). We build language detection, locale-aware responses and multilingual knowledge retrieval into every deployment that targets a multinational audience.

Every Alice Labs engagement ships with a measurement plan signed off before build. Standard KPIs include containment rate (share of conversations resolved without human escalation), deflection rate, average handle time, customer satisfaction (CSAT/CES), time-to-first-response, cost per conversation, and revenue influenced (for sales agents). We instrument these via Mixpanel, Segment, Langfuse and the host platform's analytics so leadership has a live dashboard from day one.

It can be — but only if it is designed for compliance from the start. Most off-the-shelf chatbots are not. Alice Labs builds every deployment with EU AI Act risk classification (limited, high or unacceptable risk), GDPR data-processing agreements, PII redaction before LLM calls, EU data-residency for model inference where required, consent and disclosure flows for users, and full audit logs. We document compliance posture in the project handover so your DPO and legal team can sign off.

Both can work, but the trade-offs are real. Building in-house gives full control and IP ownership but typically takes 6–12 months to assemble the team (conversation designer, LLM engineer, MLOps, evaluation specialist) and another 6–9 months to ship a production-grade agent. Hiring a conversational AI consultancy compresses time-to-value to weeks and transfers proven patterns from prior deployments. Many of our clients run a hybrid model — Alice Labs ships the first agent and trains an internal team in parallel to own it long-term.

Alice Labs has shipped conversational AI in production for banking and financial services, healthcare and life sciences, retail and e-commerce, B2B SaaS, manufacturing and industrials, professional services, and the public sector. Every industry has different compliance requirements and integration patterns — we adapt the architecture to fit, rather than forcing a one-size-fits-all template.