AI Agents for Business –
Cut Support Costs 60–80% With Agents Built for Enterprise

AI agents are autonomous software systems that can understand requests, make decisions, take actions, and interact with users and systems. Unlike simple chatbots that follow scripts, AI agents can handle multi-step tasks, access real-time data, make contextual decisions, and learn from interactions. They can operate across channels—chat, voice, email—and integrate with your CRM, ERP, and internal systems.

An agentic AI strategy defines how an organization deploys autonomous AI agents across customer-facing and internal operations. It covers: which processes benefit from agent autonomy, what level of human oversight is needed, how agents integrate with existing systems, how to measure agent performance, and governance frameworks for agent decision-making. It's about moving from AI-assisted to AI-autonomous workflows where appropriate.

A chatbot typically follows predefined conversation flows and can answer FAQ-style questions. An AI agent is fundamentally different: it can understand complex requests, access multiple data sources, make decisions, execute multi-step tasks, and handle exceptions. For example, a chatbot answers 'What are your hours?' while an AI agent can process a complete order, check inventory, apply discounts, and schedule delivery—all in one conversation.

We build three categories: 1) Customer-facing agents—for support, sales, and onboarding via chat, voice, and email. 2) Internal agents—for document processing, data analysis, report generation, and task management. 3) Orchestration agents—that coordinate between systems, route tasks, and manage complex multi-step workflows. Most projects combine elements from all three.

AI voice agents use speech-to-text, natural language understanding, and text-to-speech to handle phone conversations autonomously. They can answer questions, route calls, take orders, schedule appointments, and handle common inquiries. Modern voice agents sound natural, handle interruptions, and know when to escalate to human agents. We integrate them with your phone system and CRM.

Results vary by use case: Customer support agents typically handle 60-80% of inquiries autonomously, reducing cost-per-contact by 70%+. Sales agents can qualify and route 3-5x more leads. Order management agents reduce processing costs by 80%+. Our Ljusgårda case delivered $250K/year savings with 83% cost reduction on order management.

Every agent includes: conversation guardrails and brand voice guidelines, escalation rules for complex or sensitive cases, real-time monitoring and quality dashboards, A/B testing for continuous improvement, audit logs for compliance. We test extensively before launch and maintain ongoing quality reviews.

Yes. We integrate agents with all major platforms: CRM (Salesforce, HubSpot), ERP (SAP, Dynamics), ticketing (Zendesk, Freshdesk), communication (Slack, Teams, WhatsApp), phone systems, and custom APIs. Agents can read and write data across systems to provide contextual, personalized interactions.

A focused customer support agent can be live in 2-4 weeks. More complex agents with multi-system integration typically take 4-8 weeks. We follow an iterative approach: start with core functionality, launch with human oversight, then expand capabilities based on real conversation data.

No—AI agents handle routine, repetitive interactions so your team can focus on complex cases, relationship building, and strategic work. The best deployments augment human capability: agents handle 70-80% of volume, humans handle the 20-30% that requires empathy, creativity, or complex judgment. Most of our clients see improved employee satisfaction alongside cost savings.

AI agent implementation services cover the full build-and-deploy cycle: use-case discovery and ROI modelling, conversation and journey design, integration with CRM/ERP/phone systems, prompt engineering and guardrails, evaluation harnesses, human-in-the-loop review, monitoring dashboards, and ongoing optimization. Alice Labs delivers fixed-price agent implementations with measurable KPIs agreed before kickoff—not time-and-materials open-ended engagements. A focused agent typically goes live in 2–4 weeks, more complex multi-system agents in 4–8 weeks.

An AI agent consultation is a 30–60 minute working session where we review your customer-service, sales or back-office workflows, identify which steps are agent-suitable (high volume, repeatable, data-accessible), and outline a fixed-price pilot path. We provide a written brief with use cases, expected automation rate, integration scope, and a realistic ROI range based on similar deployments (e.g., 60–80% deflection in support, 80%+ cost reduction in order management). No slide deck—just a working plan.

Yes. We build custom AI voice agents for businesses across inbound support, outbound sales, appointment booking, order confirmation, surveys, and after-hours coverage. Our voice agents use modern speech-to-text and text-to-speech for natural conversation, integrate with your phone system (SIP, Twilio, Telnyx, Aircall, etc.) and CRM, and include barge-in, interruption handling, sentiment detection, and clean human handoff. We are an outcome-based agency, not a platform reseller—we own the build, the integration, and the KPIs.

A SaaS voice platform (e.g. Vapi, Retell, Bland, ElevenLabs Conversational AI) gives you tooling—you bring the design, integrations, prompts, evals, and ops. An AI voice agent agency like Alice Labs delivers the working agent end-to-end: discovery, build, integration, launch, and continuous tuning, with KPIs in your P&L. Agencies are the right choice when you want a production agent live in weeks with measurable cost-out, not a developer platform to staff up around.

Voice and conversational AI consultancy combines strategy (which interactions to automate, what success looks like, governance) with execution (designing flows, building the agent, integrating systems, measuring outcomes). At Alice Labs the same senior team handles both, which is the main reason our pilot-to-production rate is materially above the industry average. Engagements are fixed-price: typically a 2–4 week discovery sprint followed by a 4–8 week build.

Yes—we have built AI voice and chat agents for regulated industries including banking, insurance, and healthcare. Banking deployments require additional controls: strong identity and authentication flows, PII redaction in logs, full audit trails, GDPR and EU AI Act alignment, escalation to human agents for any complaint or vulnerable-customer signal, and red-team testing before launch. We design every banking agent assuming external audit from day one.

Yes. Alice Labs builds simple business contact AI agents that handle first-touch enquiries, qualify leads, capture contact details, and book meetings into your calendar or CRM without a full call-centre build. These are lightweight deployments — typically a single-channel chat or voice agent, live in 2 weeks, fixed-price. They are the fastest way for a small or mid-market business to eliminate missed enquiries after hours and on weekends while keeping full audit trails for GDPR.

Yes. Alice Labs provides AI agents consulting for European mid-market and enterprise clients: use-case selection, ROI modelling, build-vs-buy decisions, vendor and framework selection, evaluation harness design, and human-in-the-loop governance. Consulting engagements are led by the same senior team that runs the implementation, which is why 100+ production AI implementations since 2023 have gone from pilot to production instead of stalling at demo. All engagements are fixed-price with KPIs agreed before kickoff.

Alice Labs delivers AI voice and chat agents remotely across the EU, including Spain (Alcoy, Valencia, Madrid, Barcelona). Our senior consultants work in your timezone, ship in English or Spanish, and align every deployment with EU AI Act and GDPR requirements. On-site discovery workshops are available on request; build, integration, and monitoring are fully remote. Same fixed-price commercial model as Nordic deployments.

Five things: (1) Production deployments with named clients and measurable ROI—not just demos. (2) Native integration with your phone stack, CRM, and core systems. (3) Evaluation and monitoring infrastructure—if they cannot show you the eval harness, the agent will drift. (4) Clear escalation and human-handoff design. (5) Fixed-price commercial model with KPIs agreed before kickoff. Alice Labs publishes case data ($250K/year saved at Ljusgårda, 83% cost reduction on order management) and works fixed-price.