Multi-agent pipelines that replace entire operational workflows
Growing businesses hit a wall where manual coordination between tools (CRM, email, spreadsheets, order systems) consumes engineering and operations bandwidth. Off-the-shelf automation tools (Zapier, Make) handle linear flows but break on anything requiring judgment, dynamic branching, or multi-step reasoning over unstructured data. The result is hybrid systems where humans do all the ambiguous steps - which is most of the work.
We architect multi-agent systems using a conductor/executor pattern. A planner agent decomposes incoming triggers (email, webhook, API event, scheduled timer) into subtasks and routes them to specialized executor agents, each connected to specific external tools via typed interfaces (email, calendar, database, third-party APIs). Agents operate with defined authority scopes: routine decisions execute autonomously with structured logging; ambiguous or high-stakes decisions surface as human-in-the-loop approval tasks with full context. State is persisted across runs in a structured task database. Every action produces an audit trail. Deployed on Kubernetes with per-agent observability dashboards in Grafana.
Deployed in the Vosíme pizza checker pipeline (quality decision routing, automated claims), in internal client reporting workflows, and as the core of the Algovectra Vectra Nexus self-management system. Typical outcome: 70-90% reduction in manual coordination work per workflow deployed, with human escalation rates below 10% in steady state.
4-8 weeks per workflow
We take on a small number of new engagements per quarter. If this matches your problem, let's talk.
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