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Platform Launch · From first workflow to production

Stop Searching. Start
Asking.

We connect your SharePoint, file servers, and drives, and make company knowledge answerable in Microsoft Teams, with sources. Ask a question instead of digging through folders.

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
Operations

Positioning

Search gives you files. Your team needs answers.

Your team spends hours a week digging through SharePoint, network drives, and file servers, with the knowledge buried in PDFs, documents, and spreadsheets.

Traditional search returns a list of files; people need answers.

Laava connects those sources and lets the team ask in plain language, right in Microsoft Teams, with every answer grounded in the source it came from and inside your existing permissions.

Start with the bottleneck before tooling
Proof before scale or transformation
Decisions based on operational reality

Outcomes

What You Get

Search all your data in one chat interface

AI understands context and provides direct answers

Automatically maintains existing access permissions

Works with SharePoint, file servers, OneDrive, and more

Deploy to Microsoft Teams - no new tools to learn

Full audit trails and compliance reporting

How It Works

Three steps from scattered files to answerable knowledge.

01

1. Connect Your Data

We integrate with your existing infrastructure - SharePoint Online, SharePoint On-Premises, file servers, network drives, OneDrive, and more. Your data stays where it is.

SharePoint APIMicrosoft GraphSMBWebDAV

02

2. Index & Embed

We process your documents, PDFs, spreadsheets, and files into searchable embeddings. AI learns the content and context of your company's knowledge.

Azure OpenAIVector databasesOCRDocument parsing

03

3. Chat in Teams

Your team asks questions in plain language via Teams. AI searches all connected sources, understands context, and provides accurate answers with source citations.

Microsoft TeamsBot FrameworkAdaptive Cards

Approach

Our Implementation Process

From discovery to deployment in weeks, not months

Step 01

Data Source Assessment

We catalog your SharePoint sites, file servers, and other data repositories. Together we define which sources to connect and prioritize by business value.

Step 02

Security & Permissions Setup

We configure authentication and ensure the AI respects all existing access controls. Users only see results they're authorized to access - just like today.

Step 03

Indexing & Testing

We index your content, build embeddings, and rigorously test search quality. We fine-tune the AI to provide accurate, relevant answers for your specific domain.

Step 04

Teams Deployment & Training

We deploy the chat interface to Microsoft Teams and train your users. We provide documentation, best practices, and ongoing support to ensure adoption.

Where This Fits

Perfect For

Organizations that struggle with data silos and information overload

Companies with large SharePoint estates

Teams that rely on network file servers

Organizations with knowledge scattered across tools

Companies looking to improve productivity

Teams tired of "can't find that document" emails

FAQ

What teams ask about AI search

The most practical questions that usually come up before a first application actually lands in the operation.

First serious step

Ready to Stop Searching and Start Finding?

Let's discuss how AI-powered search can transform how your team accesses company knowledge.

You leave with a clear view of the first workflow, the key dependencies, and the right next step.

Included in the first conversation

See how it landsFirst conversationConcrete route
Start with the bottleneck. Build from there.
First step

Ready to Stop Searching and Start Finding?

Let's discuss how AI-powered search can transform how your team accesses company knowledge.

Response time

We typically respond within 24 hours

Chat with Your Data - AI Search for Teams | Laava