Find insights, not just data — AI-powered search and decision support
Semantic search, analysis and decision briefs.
Your organisation sits on vast amounts of data — but it is scattered, hard to interpret and rarely available when decisions need to be made. With Walma’s AI-powered search and decision support we connect your data sources, make them searchable with natural language and deliver decision briefs in real time. Stop searching. Start acting.
Some clients & partners
Your data is everywhere.
But the insights never get through.
Data in silos
Sales data in CRM, finances in ERP, customer feedback in support tools and market data in spreadsheets. Nobody has the full picture — and compiling it takes hours or days.
Search that requires expert knowledge
Finding the right data requires knowing where it is, how it is structured and which filters are needed. It creates bottlenecks with analysts and data engineers who constantly receive ad hoc requests.
Insights that arrive too late
Traditional reports take days to produce and are outdated before they reach decision-makers. Decisions are made on gut feeling instead of data — or not made at all.
What is AI-powered decision support?
From data points to actionable insights
Traditional BI requires the right person to ask the right question in the right tool. AI-powered decision support flips the logic: you ask in natural language and get compiled, contextualised answers based on your actual data sources. Semantic search understands what you mean — not just what you type. Combined with RAG technology, data analysis and agent flows, the result is decision support that works as fast as your questions.
What AI-powered search and decision support enables
The right insight, to the right person, at the right moment — without needing to know where the data is or how to interpret it.
Ask data with natural language
Ask questions like "How are sales in Region South compared to last quarter?" and get a compiled answer immediately — without opening a BI tool or writing SQL.
Contextualised insights
The AI delivers not just numbers but context. It identifies trends, deviations and patterns and presents them in relation to your goals and historical data.
Decisions in real time
Instead of weekly reports compiled manually, decision-makers get access to current insights precisely when needed — in the meeting, before the presentation or in the middle of a customer call.
We connect your data sources into a searchable AI layer
Regardless of where your data resides today — in databases, documents, business systems or analytics tools — we make it accessible through a single, intelligent interface.
Business systems & databases
- CRM, ERP and financial systems
- SQL databases and data warehouses
- API connections to SaaS services
- Prompt2SQL — query databases with natural language
Documents & reports
- PDFs, Excel, Word and PowerPoint
- Internal reports and investigations
- Policies, contracts and decision briefs
- Archived analyses and presentations
Web sources & external data
- Intranets and knowledge bases
- Industry reports and market data
- Competitor monitoring and market analysis
- Customer reviews and feedback sources
From data sources to decision briefs
We start by understanding your data and your questions. Then we build a solution that delivers insights — not just search results.
Mapping & data inventory
We start with a workshop where we map your data sources, identify the most important questions the organisation needs answered and define which decisions should be supported. You get a clear plan.
Week 1Connection, indexing & AI layer
We connect your data sources, build RAG pipelines and configure semantic search. Data is structured, normalised and made searchable via natural language. Prompt2SQL is activated against your databases.
Week 1–3Launch & optimisation
The solution is deployed — via Noda, custom agent flows or API. We test, optimise relevance and ensure the answers meet the quality decision-makers need. Then it scales.
Week 3–4How organisations use AI-powered decision support
From leadership decision briefs to operational search queries — same platform, different applications.
Leadership & strategy
- Decision briefs compiled from all systems
- Real-time KPI aggregates without manual reports
- Trend analysis and deviation detection
- Query-based dashboards instead of static views
Sales & marketing
- Customer insights aggregated from CRM and support
- Campaign analysis and ROI calculations
- Competitor monitoring and market overview
- Prospecting based on data-driven signals
Finance & controlling
- Budget tracking with natural language
- Automated deviation reports
- Forecasts based on historical patterns
- Ad hoc analyses without waiting for an analyst
We build decision support that actually gets used
Most BI projects stop at dashboards nobody looks at. We build solutions that answer your actual questions — directly, accurately and with sources.
Semantic search, not keyword search
Our search engine understands intent and context — not just exact word matches. This means users find the right information even if they don’t know the exact term or where the data resides.
Prompt2SQL and database access
Your organisation can query databases with natural language. The AI translates the question into SQL, runs it against your database and presents the result in an understandable format — with charts, tables or summaries.
RAG as the foundation for accurate answers
All data is retrieved via our RAG technology, meaning every answer is grounded in your actual data sources with full source references. No guesses, no hallucinations.
Enterprise security and European data
Role and permission control per data source, encryption at every stage, European servers and full audit logs. Your data never leaves your control.
Measurable results from day one
Organisations that implement AI-powered search and decision support with Walma see immediate improvements in how insights are found, shared and turned into action.
80–95% faster insights
Questions that previously required hours of manual compilation are answered in seconds — directly from your data sources.
Data-driven decisions across the organisation
Not just analysts — all employees can query the data directly and make decisions based on facts instead of gut feeling.
60–80% fewer ad hoc requests
Analysts and controllers are freed from repetitive report requests and can focus on strategic work instead.
AI decision support vs traditional BI vs manual analysis
The difference between waiting for reports and querying the data directly.
| Funktion | Walma AI Decision Support | Traditional BI | Manual analysis |
|---|---|---|---|
| Query data with natural language | — | — | |
| Answers based on all data sources simultaneously | Limited | — | |
| Source references in every answer | — | Sometimes | |
| Prompt2SQL — query databases directly | — | — | |
| Semantic search in documents and reports | Limited | — | |
| Real-time insights without manual compilation | Limited | — | |
| Does not require BI expertise to use | — | — | |
| Role and permission control per source | — | ||
| European data sovereignty | Varies | ||
| Combinable with agent flows and automation | — | — | |
| Time from question to answer | Seconds | Minutes–hours | Hours–days |
| Implementation | 2–4 weeks | Months | Not applicable |
Frequently asked questions about search, data and decision support
Traditional Business Intelligence relies on predefined dashboards, reports and data models that require specialist expertise. AI-powered decision support flips the logic — you ask questions in natural language and get compiled, contextualised answers directly.
We can connect virtually any data source your organisation uses. This includes relational databases, business systems like Fortnox, Visma, Microsoft Dynamics and SAP, CRM systems like HubSpot, Salesforce and Lime, as well as project tools and support platforms. We also handle unstructured data such as PDFs, Word documents, Excel files and web pages.
Prompt2SQL means the AI understands the structure of your databases and can translate questions asked in natural language into correct SQL queries. You ask a question and the AI analyses it, identifies relevant tables and columns, writes a SQL query, runs it against the database and presents the result in an understandable format.
The foundation is RAG technology, which means the AI always retrieves data from your actual data sources before formulating an answer. All answers are delivered with source references so the recipient can verify where the information comes from.
We start with a mapping workshop of approximately 2–3 hours where we go through your data sources and identify the most important questions. Then you need to give us technical access to relevant data sources. We handle the entire technical implementation.
Yes, and that is exactly how the most successful implementations work. AI-powered decision support and agent flows share the same technical foundation — the RAG layer and data connections. Many customers start with decision support and then expand with agent flows.