AI solutions
Harness the power of AI-driven agents to streamline tasks, boost efficiency, and elevate your ideas.
The right AI for the problem.
We design and deliver AI and ML across the full spectrum:
- Conversational AI and LLMs,
- Document and knowledge intelligence,
- Agents and automation,
- Predictive and classical ML,
- and more.
We match the technology to the problem. This way you get a solution that fits.
Solution options
Different problems need different AI. Here’s the range of solutions we work with and what each is good for.
Conversational AI & LLMs
Natural language in and out: Q&A, chatbots, support, drafting, summarisation, dialogue.
Document & knowledge intelligence
Answer is in your documents: semantic search, RAG, policy/legal/regulatory lookup, queryable knowledge bases.
Agents & workflow automation
Clear steps and rules: orchestration, multi-step workflows, drafting/triage with human-in-the-loop, decision support.
Predictive ML & analytics
Structured data + clear target: pattern recognition in history to forecast demand, risk, churn, propensity - ‘predict Y from X’.
Classification & extraction
Sort or structure content: routing, tagging, entity extraction, document type detection, unstructured → fields.
Anomaly detection & monitoring
Spot the unusual: fraud, operational outliers, quality drift, “something changed” in data streams.
Optimization & decision support
Constraints + objectives: resource allocation, scheduling, recommendation under rules.
Computer vision
Signal is visual: quality control, document/form processing, inspection, image-based classification.
“Clients don’t need ‘AI’, they need solutions – answers, automation, or better decisions. We map their problem to the right proposal, then build it.”
- Aljoša Ocepek,
- Head of AI development
- at WagaLabs
One example: agents in practice
A customer asks about their order. Here’s what happens in the background as AI formulates the answer.
What’s happening with my recent order? |
Your recent order 00236 hasn’t been sent yet. It should arrive within 14 days.
Use case: AI augmented document system
AI agents provide instant support through intelligent chat, personalized recommendations, and smart search features. We can combine agents into the perfect personalized solution for every system.
AI solutions - in practice
We deliver an AI assistant that runs on your own content.
Knowledge base setup
Ingest and index your documents (policies, wikis, project docs) so the assistant can search and cite them.
Intent and routing
Classify the question (policy, project status, how‑to) and decide when to answer.
Guided flows
For processes like contractor onboarding, the assistant walks the user through the steps and points to the right tools (HR portal, IAM, PM tool).
Governance and updates
Define what the assistant may say, which content is in scope, and how often to refresh the knowledge base.
Modular, API‑driven design so the assistant plugs into your existing systems (IAM, HR, project tools) and scales as you add more knowledge and use cases.