Skilled technologists who take the time to understand project requirements and deliver results on time. Their communication is excellent, and they provide support well beyond the initial engagement.
Enterprise data intelligence and AI readiness
Make your business data ready for AI
Ragioneer transforms scattered business data into a connected, governed foundation that AI can use.
We bring together your systems, documents and business rules, giving AI the context to answer questions, support decisions and carry out authorized work.
Ragioneer Data Intelligence
Can we deliver this order by Friday?
Yes, if it ships from the main warehouse. Most of the order is in stock, and the remaining items are reserved against a supplier delivery due Wednesday. Logistics can still make Friday's dispatch window, and the customer's contract allows a split delivery if anything slips.
We start with your data, not the model
A simple question can cross the entire business
“Can we deliver this order by Friday?”
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Inventory
Inventory shows stock.
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Orders
Some of it is already reserved.
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Procurement
Procurement has a replenishment date.
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Logistics
Logistics has delivery constraints.
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Contract
The customer's contract includes a commitment that changes which options are acceptable.
Yes, if it ships from the main warehouse. Most of the order is in stock, the rest is reserved against a supplier delivery due Wednesday, and the customer's contract allows a split delivery if anything slips.
An experienced colleague knows which records to check and which rules apply.
AI needs that context made available too.
Across a business, the information required to answer a question rarely lives in one place. It sits across applications, documents and the knowledge of people who understand how the work gets done.
Ragioneer brings that information into a form AI can use, with its meaning, relationships and permissions intact.
The next step after digitization
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1970
In 1970, E. F. Codd published the relational model, proposing a way to work with data independently of its physical arrangement inside a computer. [3]
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Today
A business can have digital records for almost everything it does and still need a person to assemble the context around each question.
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AI-ready
AI readiness means making that context explicit: what a record represents, how it relates to other records, which version is current and what the business permits someone to do with it.
Ragioneer Data Intelligence
From scattered records to a usable business model
Bring relevant systems, databases, spreadsheets and documents together. Resolve different identifiers for the same customer, project, product or transaction.
Ragioneer Data Intelligence
Show me everything we have on this customer.
They appear in the CRM, the billing system, the support desk and a contracts spreadsheet under different names and IDs. I've matched them as one customer, so their orders, invoices, tickets and contract terms now sit together.
Define the relationships and calculations that matter. A signed contract, an issued invoice and collected revenue should remain distinguishable.
Ragioneer Data Intelligence
What was our revenue last quarter?
It depends which figure you need. Signed contract value is the highest, invoiced revenue is lower, and collected revenue is lower again because some invoices are still unpaid. Each is defined separately, so reports never mix them up.
Carry policies, contract terms, exceptions and history alongside the data. Refresh information as the underlying business changes and make unresolved conflicts visible.
Ragioneer Data Intelligence
Can we offer this customer free shipping?
Not under the current policy. The free-shipping threshold changed this month and the exception in their old contract has expired. The price lists still disagree on this item, so I've flagged the conflict for review.
Set who and what can access information, which actions are available and when approval is required.
Ragioneer Data Intelligence
Refund this order in full.
I can prepare it, but refunds of this size need a manager's approval. I've drafted the request with the order history and sent it for sign-off. You'll be notified as soon as it's approved.
Build more on the same foundation
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Answers with business context
Ask questions across connected information and trace answers back to the records behind them.
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Reporting that uses shared definitions
Build dashboards and reports around agreed measures, so teams can work from a consistent understanding of performance.
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Automation that can complete the work
Give approved AI workflows access to the records and rules needed to handle requests, prepare updates and execute permitted actions.
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A clearer basis for expansion
Bring customer demand, product economics, service history and delivery capacity together when evaluating new offerings or markets.
Systems we have built
Built on real records, rules and workflows
Each of these started with an organization's own data and the way its work actually gets done.
Built around the information your industry depends on
Construction
Connect estimates, contracts, schedules, site reports and actual costs so AI can work with the full project context.
Commerce
Bring products, orders, inventory, customer history and service policies into a consistent model of the business.
Banking and trading
Connect accounts, transactions, exposures and market information with their definitions, timestamps and access restrictions.
Healthcare and research
Organize authorized records, protocols, resources and outcomes so their context and history remain available.
Useful automation needs authority it cannot invent
An assistant can interpret a customer's request. The service processing a refund must still check identity, purchase status, eligibility, previous refunds and the permitted amount.
We build those checks into the execution path, outside the language model. Sensitive actions can require approval, and activity is recorded for review. This follows OWASP's guidance on independent authorization and limited permissions. [2]
That gives the business control over what its AI can do.
Execution path
Refund this order in full.
- Identity
- Purchase status
- Eligibility
- Previous refunds
- Permitted amount
Make your offerings easier to understand and discover
AI readiness also matters where customers encounter your business.
Product specifications, compatibility, availability, service areas and commercial terms need to be accurate wherever buyers find them.
Ragioneer helps organize the underlying data so approved information can support your website, product feeds and AI experiences. Internal information retains its own access controls.
90%
higher conversion rate for AI-referred visits to US retail sites than for non-AI visits, September 2026
Add Ragioneer Decision Intelligence
Once the foundation is ready, learn from what it reveals
Use pattern recognition and predictive analytics to examine the history your business has accumulated.
Find where outcomes differ from expectations, test which assumptions deserve to change and identify where more evidence is needed.
Validated findings can improve the forecasts, definitions and approved rules in your data foundation over time.
Explore Decision IntelligenceHow an engagement runs
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Choose the outcome
We map the workflow, its data sources and its risk profile, then agree on the decision or process that matters, its owner and how success will be judged.
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Build the foundation
We connect the sources it needs, agree definitions and set who can see information or authorize an action.
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Test it against real work
We check that answers reflect current records, exceptions are handled correctly and approved workflows complete as intended. Monitoring and rollback are in place before launch.
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Improve with real use
We tune retrieval, models and workflows using real usage data. Each new use case builds on the definitions and controls already in place.
Their expertise in RAG, Agentic AI, and prompt engineering has been pivotal. They built a hyper-personalized recommendation engine that significantly improved our system.
Invaluable in expediting our RAG application. The team has been insightful consultants and capable engineers. I would highly recommend Ragioneer.
Delivered scalable, cost-efficient, and security-compliant architectures. Their strategic approach has significantly accelerated our product development.
From day one, they understood my vision and brought it to life with creativity, precision, and professionalism. Their continued partnership is transforming nursing education.
Insights
Notes on making business data usable for AI.
Give your next AI initiative a foundation to build on
Start with a business question or workflow. We will map the information it needs, identify the gaps and build the data foundation required to put it into practice.
Our mission is to make business data usable wherever AI can create value.
Discuss your AI readiness