01
Documents that keep work waiting
Quotes, specs, requests, reports, forms, and updates still move too slowly through the operation.
QuotesSpecsRequests
Platform Launch · From first workflow to production
AI agents that work in your
operation.
We take the workflow that costs your team the most time and make it work: in production, in weeks. On a platform that connects your systems, guards every action, and makes each next agent cheaper than the last.
One workflow to production. One platform to build on what works.
12 min → 45 sSearch time, live production
60 minBack per dossier, pilot
WeeksTo a working first workflow
Laava × OSE2026
Four specialised roles
One foundation underneath them all
Lighthouse implementation
One AI operation. From customer call to back-office follow-up.
OpenSource Energie runs voice, chat, service-ticket, and collections workflows on one shared foundation, connecting context, tools, controls, and human handovers.
Less routine work for the team. Recurring steps in customer contact and follow-up shift from people to agent workflows. People keep the exceptions and the judgment calls.
Available 24/7. Digital workflows keep customer work moving, with human handoff where judgment is needed.
7,477
production ticket workflows
807
production voice conversations
99.6%
ticket workflow completion
24/7
support across 3 channels
Where AI makes the first real difference
The strongest first AI application usually sits in the operational friction that costs time every week.
We usually start with document flows, knowledge gaps, and handovers that quietly slow down throughput, service quality, and execution.
If that sounds familiar, there is usually a strong first AI application closer than teams think.
02
Knowledge trapped in inboxes and key people
Too much context still lives in email threads, folders, and the heads of the few people everyone depends on.
Mail threadsFoldersKey people
03
Handovers between teams and systems that break flow
Information gets retyped, checked twice, or lost between Outlook, ERP, CRM, portals, and internal tools.
OutlookERPCRM
Most visible in
These patterns usually show up first in operations with heavy document flow, coordination work, and recurring decisions.
Logistics & supply chainConstruction, engineering & productionBusiness servicesEnergy, utilities & telecom
One platform
One platform. Every next workflow starts further ahead.
Your systems stay. One AI layer in between uses them as tools, and every next agent plugs into that same layer.
The agents
First workflow, now
Invoicing
Voice
Reporting
Support
The AI layer
Tools
read and write in your systems
Knowledge base
your way of working, in one place
Control
humans decide, audit log, per-person permissions
M365
mail and calendar
SharePoint
documents and knowledge
CRM
customer data
ERP
orders
Accounting
invoices
Telephony
calls
Ticketing
requests
Your systems
connected in the first buildadded later, same layer, no new project
The individual systems stay. The AI layer picks them up as tools.
Platform Launch
Your first AI workflow, working in the real operation
One fixed-scope Launch brings the workflow, integrations, controls, and go-live together.
We start where delay, repetitive work, or handovers cost you every week. Platform Launch turns that bottleneck into one production workflow and a foundation for the next one.
What moves forward
Clear business outcomeOne accountable ownerExisting systems connectedControlled handoverNext workflow mapped
01 Scope
01
Choose the bottleneck
Select one recurring workflow where faster handling, fewer errors, or better coordination creates visible business value.
In practice
Customer contactDocumentsInboxesKnowledge
02 Build
02
Build into the operation
Connect the right sources and systems, build the agent workflow, and test the handovers and controls with the people who own the process.
In practice
Working flowReview stepMeasured outputShadow mode
03 Expand
03
Launch and build on it
Bring the workflow into production, manage it through Operate & Expand, and reuse the foundation for the next opportunity.
In practice
ApprovalsLoggingRolloutNext use case
Operate & Expand
Launch is the start. Value compounds when the platform keeps improving.
Operate & Expand keeps agents reliable, improves quality from real use, and turns working components into the next workflow.
Recurring value
Operational ownershipQuality improvementControlled changesExpansion roadmap
Keep the operation moving
Monitor workflows and integrations, coordinate incidents, and release changes without losing ownership.
Improve with real use
Review recurring failure patterns, human corrections, knowledge gaps, and cost signals, then improve what matters.
Add the next workflow with less rebuilding
Reuse the context, tools, permissions, and controls already in place instead of starting another isolated project.
Short, concrete, and measurable.
The platform in real operational work
Three examples of AI making customer contact, document work, and knowledge processes faster, more consistent, and easier to control.
Working pilot
Client name confidential
ForLarge rental agency in the Randstad region
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.
60 minSaved per dossierEstimated
View case
Live production
Client name confidential
ForProfessional services firm
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.
12min → 45sSearch TimeMeasured
View case
Validated concept
Client name confidential
ForEngineering and procurement team
Technical Spec Comparison for Procurement
AI workflow that extracts technical parameters from supplier datasheets, compares them against project requirements, and flags deviations before they turn into procurement mistakes or engineering delays.
~85%Review time reductionMeasured
View case
Forward Deployed Engineer
One senior owner from bottleneck to production
A Laava FDE works alongside your domain owner, connects business and technology, and owns the route from the first workflow to a working production release.
You get senior implementation power without assembling a separate AI team. The wider Laava platform and engineering team stay behind the mission.
What this gives you
One accountable missionShort feedback loopsProduction ownershipA path to expansion
FAQ
Frequently asked questions
The most practical questions that usually come up before a first application actually lands in the operation.
First serious step
Where is repetitive work slowing your operation down today?
Show us one recurring bottleneck, the systems it touches, and the outcome you want. In a first conversation, we identify the strongest first workflow and a credible route to production.
You leave with a clear view of the first workflow, the key dependencies, and the right next step.
Included in the first conversation
30-minute workflow fitConcrete next stepNo generic AI pitch
Start with the bottleneck. Build from there.