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AI & automated agents: from idea to useful prototype, then to production.
PULSE.digital designs pragmatic AI solutions: internal assistants, autonomous agents, business copilots and intelligent automation. Our strength: advanced prompt engineering + rapid prototyping to validate value in real conditions, then robust architecture (RAG, tools, API, security, monitoring) for confident production deployment.
- Advanced prompt engineering with robust guardrails
- Rapid prototyping to validate value quickly
- Reliable RAG architecture and IS integrations
They integrated AI with us
When you want to automate reasoning, not just tasks.
AI is relevant when your teams spend time searching, analyzing, writing, deciding or orchestrating actions between multiple tools.
Your teams process volumes of information difficult to exploit manually
Low-value tasks consume expert time
You want to standardize decisions, responses or documents
A digital product needs a copilot or AI interface
You're looking for quick wins with clear proof of value
In these situations, a well-designed AI agent improves speed, quality and execution consistency.
What we build, concretely.
Business assistants and copilots
Agents that help your teams respond, write, decide or analyze, with access to your internal data.
Autonomous agents and AI workflows
Agents capable of chaining actions: data reading, decisions, execution in your tools via API.
Augmented search (RAG) and knowledge systems
Reliable AI access to your documents, business databases, procedures, CRM/ERP, with citations and traceability.
Use case examples
Prompt engineering, rapid prototypes, then industrialization.
Use case scoping
1-2 weeksBusiness objectives, users, risks, data sources, success criteria.
Prompt engineering and prototype
2-4 weeksPrompt design, system instructions, tools and guardrails. Functional prototype tested on real cases.
Usage-driven iterations
2-4 weeksQuality measurement, hallucination reduction, rule adjustment, conversational UX.
Production deployment
3-6 weeksRAG/agent architecture, IS integration via API, security, monitoring, governance and maintenance.
They trusted us
Discover how we integrated AI into their operations.
MC-SA (Mosini & Caviezel SA)
WordPress redesign of a deep "professional" website for a geomatics and engineering consulting firm. 75 years …
E. Gutzwiller & Cie, Bankers
Premium WordPress corporate website, SEO foundation and design collaboration with Ludovic Balland. A multiling…
TopChef.ch – Custom B2B E-commerce Platform
Design and deployment of a custom B2B e-commerce platform (WordPress, WooCommerce, custom design) for a Swiss …
Frequently asked questions
Is in-house AI realistic for an SME/mid-cap?+
Yes. Many use cases deliver fast ROI from V1, especially in support, operations, analysis and content production.
What does prompt engineering add?+
It provides more reliable, structured and consistent responses, without unnecessary technical overhead.
How do you avoid false answers (hallucinations)?+
With RAG on your sources, strict instructions, testing on real cases, and quality monitoring.
How much does an AI prototype cost?+
It depends on scope, data and integrations. We provide an initial estimate after scoping the use case.
Can we industrialize after a prototype?+
Yes. Prototypes are designed to be transformed into robust, integrated and maintainable products.
Let's talk about your AI use case.
Whether you want a business copilot, an autonomous agent or augmented search on your data, we scope the use case, prototype quickly, then industrialize a reliable and useful AI.
Whether you want a business copilot, an autonomous agent or augmented search on your data, we scope the use case, prototype quickly, then industrialize a reliable and useful AI.
What you receive:
- ✓Free analysis of your AI use case
- ✓Budget estimate for prototype + production
- ✓Technical architecture proposal
- ✓Guaranteed response within 24h
“PULSE's pragmatic approach allowed us to go from an AI POC to a production solution in less than 3 months. Prompt engineering really makes the difference.”
Marc Dubois — CTO