Agentic Systems & Automation.
Multi-step workflows where an LLM handles the reasoning, your tools handle the actions, and a human signs off on the output. We build it, document it, and train your team to own it.
FROM €5,000 · 3-8 WEEKS · RUNBOOK INCLUDED
What this is (and isn't).
Is: A system that takes an input (ticket, lead, document, data row), runs it through an LLM with your prompts and tools, produces a draft, and queues it for human approval.
Isn't: A full autonomy chatbot that replies on its own without review. We don't ship those - the error rate isn't acceptable for most SMB work yet.
Scope.
- One workflow, start to finish.
- Prompt library (versioned, testable).
- Integrations to existing tools (CRM, helpdesk, docs, email, Slack, Airtable).
- Human-review interface - dashboard or a queue inside your existing tool.
- Logging and evaluation - see what the agent did, why, and whether it was right.
- Runbook + training for 2-3 people on your team.
Method (how a build runs).
- Week 1 - Workflow mapping. Sit with the humans doing the work today. Map every branch and edge case.
- Week 2 - Prompt + tool design. First prompts drafted, tools wired, ten inputs tested.
- Weeks 3-4 - Build. Integrations, review UI, logging. Daily demos.
- Weeks 5-6 - Shadow run. Agent runs alongside human. Compare outputs. Tune.
- Week 7 - Cut-over. Agent first, human reviews. You own it.
- Week 8 (optional) - Training + runbook handover.
Price.
- Simple agent - €5,000-€8,000. 3-4 weeks.
- Medium agent - €8,000-€15,000. 4-6 weeks.
- Complex / multi-agent - €15,000+. 6-8 weeks. Quoted after scoping.
Ongoing tuning best on a Growth (€1,990/mo) or Scale (€3,990/mo) retainer.
Human in the loop, by default.
Current LLM error rates on real business data are 3-15% depending on task. For a 10-person SMB, a 5% error on 200 weekly replies is 10 wrong replies a week. That's a fire.
Every agent we build routes through a human before it acts. We design the review UI so approval takes seconds, not minutes. Over time, as measured accuracy climbs, you can choose to auto-approve certain branches. That's your call, with data.
Reference build: the AISO Orchestrator.
The AISO Orchestrator dispatches 17 agent types across research, copywriting, development, QA, and operations. Stack: Next.js + MongoDB replica set, Server-Sent Events, Agent Messaging MCP, Claude Memory write-back, human review on every non-trivial decision. Read the build log →