01
Documents that keep work waiting
Quotes, specs, requests, reports, forms, and updates still move too slowly through the operation.
QuotesSpecsRequests
Q3 pilot intake open
We make your business
AI-native.
Start with one process where documents, knowledge, customer questions, or handovers are slowing the operation down. Laava turns it into a working AI application inside the systems you already run.
Bring one process. Leave with the clearest first route before you commit to a build.
FreeOpportunity Scan
4Weeks to first app
EUHosted · Utrecht, NL
Proof from real operations
Proof you can inspect
Every result links to the implementation stage and the evidence behind it. Validations are labelled as validations; production results are labelled as production results.
Working pilotEstimated
Primary result
60 min
Saved per dossier
Tenant Dossier Review Workflow
Large Randstad rental agency
Live productionMeasured
Primary result
12min → 45s
Search Time
SharePoint Knowledge Layer
Professional services firm
Live productionObserved
Primary result
20+
Brands
Multi-Brand AI Customer Operations Platform
Multi-brand energy operation
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
Where Laava makes the difference
Practical AI for the parts of the operation where time, quality, and coordination still leak away every day.
01
Documents & backoffice
Take friction out of document-heavy flows.
Process invoices, forms, emails, and attachments faster.
Let teams focus on exceptions instead of retyping and checking.
02
Knowledge & teams
Make internal knowledge directly usable.
Get answers faster across SharePoint, manuals, procedures, and project files.
Keep source citations and existing permissions in place.
03
Customer questions & service
Respond faster without lowering quality.
Handle recurring questions, triage requests, and prepare responses.
Escalate edge cases with full context to the right person.
04
Workflows & approvals
Remove handoffs that keep slowing the operation down.
Structure incoming work, route it correctly, and trigger the next step.
Add approvals where control matters and automation where speed matters.
Short, concrete, and measurable.
Case studies from the real operation
Three cases with a clear implementation stage and visible evidence, from working pilot to live production.
Working pilot
Client name confidential
ForLarge Randstad rental agency
Tenant Dossier Review Workflow
AI workflow for a large Randstad rental agency 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
5+Document typesObserved
HITLException reviewObserved
Evidence
Observed in a working pilot on representative tenant dossiers. The time saving is an estimate based on the previous manual review flow versus the pre-validated workflow.
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
95%Search Success RateMeasured
ZeroPermission ViolationsMeasured
Evidence
Measured after production deployment across more than 50,000 SharePoint documents. Permission performance is based on monitored production usage.
View case
Live production
Client name confidential
ForMulti-brand energy operation
Multi-Brand AI Customer Operations Platform
The customer-facing implementation of a shared AI platform for a multi-brand energy operation. One platform supports voice, chat, L2 ticket handling, debt-related flows, and sales conversations across 20+ brands without duplicating logic, knowledge, or governance.
20+BrandsObserved
5Agent RolesObserved
Voice + Chat + TicketsChannelsObserved
Evidence
Observed in the customer-facing implementation. The figures describe live platform scope across brands, roles and channels rather than a productivity claim.
View case
How we work
From first scan to a first working AI application
No endless pre-project. Start with one process, one clear business case, and one working application in weeks.
We keep the first step commercially serious and operationally small. Enough scope to prove value in the real operation, not so much scope that momentum disappears before anything ships.
What this usually includes
One processClear ownerReal dataGuardrailsMeasured output
01 Scan
01
AI Opportunity Scan
A working session around one concrete process. We identify where AI does and does not make sense, and what the fastest first step is.
In practice
IntakeDocumentsInboxesKnowledge
02 Build
02
First AI application in 4 weeks
A working application validated on real operational data. Production rollout follows when integrations, governance, and operational risk require it.
In practice
Working flowReview stepMeasured outputShadow mode
03 Expand
03
Scale with control
Once the first application lands, we expand with the same discipline: approvals where needed, no lock-in, and room to keep building.
In practice
ApprovalsLoggingRolloutNext use case
Built to run in your existing operation
AI has to fit the stack you already depend on
The real challenge is usually not model access. It is making AI work inside the channels, systems, approvals, and ownership boundaries that already exist in the business.
Channels and work surfaces
OutlookTeamsEmailWebformsPortalsPhone / voice
Core systems
ERPCRMSharePointJiraServiceNowCustom APIs
Business software in the wild
SAPAFASExactHubSpotDynamicsSalesforce
Integrates where the work already happens
AI should land inside the current workflow, not force the team into a second operating model.
Keeps approvals, routing, and handovers explicit
Operational control matters more than a clever demo. We build flows that can be followed, audited, and improved.
Works with governance instead of around it
Permissions, source grounding, escalation rules, and review steps are part of the system design from day one.
FAQ
FAQ
The most practical questions that usually come up before a first application actually lands in the operation.
First serious step
Curious where AI can make a real difference in your operation first?
In a free AI Opportunity Scan we look at one concrete process, give an honest assessment, and outline the fastest route to a first working application.
No commitment to build. You get a concrete route, risk readout, and an honest view of where AI is not needed.
Included in the first conversation
Free sessionOne concrete processHonest first route
Start with one process. Leave with a sharper first route.