Agent workflows
Multiple agent types. One platform and operating model.
Voice, chat, tickets, documents, and back-office actions are not separate products. We bring the first scoped workflow live on the Laava Platform and reuse context, tools, and controls for what follows.
Use this page to see quickly
which workflow pattern fits your bottleneck
which case studies are closest to your situation
how Platform Launch takes it into production
Workflow patterns
Conversations and service
Voice, chat, and email agents that understand questions, use current context, prepare actions, and hand over with full context.
Channels differ, while context, tool, review, and operating boundaries remain reusable.
Tickets and work routing
Agents that classify, enrich, prioritise, route incoming work, and prepare the next step.
The agent works within agreed permissions and keeps human escalation visible.
Documents and back office
Workflows that read, validate, structure, and connect documents and attachments to cases or transactions.
Source provenance, exceptions, and acceptance are part of the workflow.
Knowledge and decision support
Agents that combine approved knowledge and operational data for answers, proposals, and decisions.
Source of truth, permissions, and human review remain explicit.
Related case studies
View case studiesOpenSource Energie: four agent roles on one platform
OpenSource Energie is moving customer contact and follow-up onto one operational AI platform. Voice, chat, ticket, and collections agents pick up recurring work as it arrives and hand exceptions to people, so routine handling stops eating the team's week, and every next workflow starts on a foundation that already knows the operation.
Tenant Dossier Review Workflow
AI workflow for a large rental agency in the Randstad region that reads tenant documents, validates income and identity data against acceptance criteria, and explains every flag before a human makes the final call.
SharePoint Knowledge Layer
Permission-aware semantic search across 50,000+ SharePoint documents. Search time dropped from 12 minutes to 45 seconds, with zero permission violations in production.
Industries where this lands often
View industriesConstruction, Manufacturing & Engineering
In construction, manufacturing, and engineering, the critical knowledge sits in specs, drawings, and manuals, and in the heads of people close to retirement. Meanwhile projects get more complex and margins thinner. On the Laava Platform, agents read specs and datasheets, check them against requirements, answer technical questions from your own documentation, and prepare the paperwork that keeps projects moving. Experience stops walking out the door, and engineers spend their time engineering.
Public & Social Sector
The public sector has to deliver more service with fewer people, while every decision must be explainable. That combination breaks on manual work: case files, objections, and information requests queueing up behind scarce specialists. On the Laava Platform, agents prepare case work from approved sources, with source citations and human approval built into the workflow. Civil servants keep the judgment; residents get answers faster.
Business Services
In business services, the product is knowledge and the constraint is time. Hours still disappear into reading documents, drafting proposals, and checking contracts, work that follows patterns an agent can learn. On the Laava Platform, agents read, draft, and check inside your own systems and sources, while a professional makes the calls that matter. The hours go back to strategy, clients, and the work you actually bill for.
Transportation & Logistics
Logistics runs on trucks and ships, and on PDFs, scans, portals, and mail threads. The delay is rarely on the road; it sits in the back office, where orders, customs documents, and status questions wait for someone with time. On the Laava Platform, agents read and structure documents, answer status questions from your own systems, and prepare the next step in the chain. Fewer errors, faster handling, and a back office that keeps up with the fleet.