Agentic AI systems, in production
We build agentic AI — systems that plan, use tools, and act over your data to get real work done — and we ship them to production with guardrails and evaluation. We've done it at scale (an AI sales agent used by 200+ businesses) and for content automation.
The problem
Most 'agents' are demos: impressive once, unreliable in production, expensive to run, and impossible to debug. Turning an agent into something dependable takes real engineering — grounding, guardrails, evals, and knowing when a deterministic workflow beats an agent.
How we do it
- The right architecture — agent vs deterministic workflow — for reliability and cost
- Tool use + retrieval grounded in your systems, with guardrails and fallbacks
- Evaluation and observability so quality and cost are measured, not hoped
- Production hardening: retries, monitoring, and cost controls
agents in production
Wakil (AI WhatsApp sales agent, 200+ businesses) and MediaOps (an agentic content engine) are agentic systems we built and run — not slideware.
Read the case study →What's included
- Agent architecture + feasibility scoping
- Build: agents, tools, integrations, guardrails, eval harness
- Deployment, monitoring, and cost optimization
- Handover + optional retainer for iteration
Fixed-scope builds from €5,000.
Stack
Frequently asked questions
Do I actually need an agent, or a workflow?
Often a deterministic workflow is more reliable and cheaper than an autonomous agent. We help you choose the right one — we don't sell agent hype where a workflow wins.
How do you keep agents reliable and affordable?
Grounding, guardrails, fallbacks, an evaluation loop, and cost controls (model routing, caching). Reliability and cost are engineered and measured, not left to chance.
Can agents use our internal tools and data?
Yes — tool-calling and retrieval let the agent act over your real systems (CRM, DB, APIs) safely.
Related reading
Building something like this?
Tell us the scope and we'll come back with a fixed price and timeline — 30 minutes with the engineers who would actually build it.
Book a 30-min call →