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AI agents under control, integrated into your processes.
We build AI agents for support, qualification, operations and analysis. Every implementation has a clear role, limits, an action log, escalation criteria and human intervention wherever the risk requires it.
Automation follows rules. An AI agent works with context.
A conventional workflow executes predictable steps. An AI agent can interpret language and context, but its actions must be evaluated, restricted and tracked. Often, the right solution combines both approaches.
Extended availability, with clear escalation
The agent can handle questions and requests outside business hours, then hand over cases requiring judgement, empathy or business validation to your team.
Actions guided by context
Qualify leads using BANT, escalate complex cases and personalise each response. Use context within approved limits and workflows.
Cost tracked by process and volume
We estimate operating cost from model usage, integrations, infrastructure and supervision. We compare it with time saved, quality achieved and value created.
From a chatbot to a complete digital workforce.
Custom AI agents
Digital employees with clear roles: support, sales, operations and reporting. Multi-agent orchestration executes processes end to end. Built on Claude (Anthropic), GPT (OpenAI), Gemini or self-hosted open-source models.
AI voice agents
Handle inbound and outbound calls in natural Romanian. Appointments, order confirmations, follow-up and telephone qualification. CRM and calendar integration. Voice and pacing adapted to the conversation.
Intelligent chatbots
Website, WhatsApp, Messenger, Telegram or Instagram, depending on access and policies. They answer from a controlled knowledge base and hand over to an operator when confidence is low or the case exceeds their defined role.
Sales & lead qualification agents
Automatically qualify using BANT, score each prospect, help the sales team prioritise, write personalised follow-ups and send everything to your CRM (HubSpot, Pipedrive, Salesforce).
Custom AI & integrations (RAG, API, ERP/CRM)
Document processing, summaries, semantic search and ERP or CRM integration via API. We design access controls, retention and self-hosting options around the data and the client's legal assessment.
AI products & applications
We turn a use case into a product: a web or mobile app with AI inside, intelligent dashboards or an internal team tool. From MVP to scale. Dedicated mobile development is covered by App Development.
Do you need an agent that reasons or a workflow that moves data?
| Process automation | AI agent | |
|---|---|---|
| How it works | Fixed rules: "if X, then Y" | Interprets context and makes decisions |
| Best suited to | Repetitive workflows, integrations, data sync | Conversations, qualification, cases with exceptions |
| Typical tool | n8n, Make, Zapier, RPA | Claude / GPT / Gemini + RAG + API |
| When to choose it | Predictable processes, high volume | Human interaction, decisions, language |
We often combine them: automation triggers the workflow, the AI agent reasons and automation executes the action. For workflows and integrations, see AI Automations (processes, n8n, Make, Zapier).
We start with a pilot that is limited and measurable.
Discovery (2–4 days)
We map the process, choose the model (API vs. self-hosted), establish the cost/quality/privacy trade-off and set the ROI target (hours saved, costs reduced).
Pilot (2–4 weeks)
We deliver a real, measurable use case. You test it on real data and evaluate the result before expanding.
Measurement & scaling
If the pilot meets the agreed quality, cost and safety criteria, we gradually extend it to other processes.
What an AI agent costs. Guidelines before the final estimate.
Real, transparent starting points so you know from the outset whether we are aligned. The final budget depends on scope, but the range is clear.
All projects: application code, configurations and documentation are handed over to the client; transferable models are defined contractually, while proprietary models accessed through APIs remain the providers' property. Full audit log, GDPR by design.
What you want to know before we start
What is an AI agent, and how does it differ from a conventional chatbot?
How do you choose the first use case?
How long does implementation take?
Which models do you use? Is my data safe?
Can the AI agent speak Romanian on the phone?
Can I start with a small pilot project?
Who owns the solution after handover?
Which process should we automate first?
We map volume, cost, risk and available data, then tell you whether an AI agent is the right solution or conventional automation is sufficient.
Request a free AI audit →