Make your business data ready for AI.

We connect your systems, documents and business rules into one governed foundation your AI can work from.

A line-art model of the data foundation: a base, then five layers from bottom to top (Connect the information, Give it business meaning, Keep the context current, Control how it is used, Ready for AI), four source systems piped into the lower layers, and an AI core above.

Brands that trust Ragioneer

A simple question can cross the entire business.

The answer rarely lives in one place. It sits across applications, documents and the people who know how the work gets done.

“Can we deliver this order by Friday?”

Inventory

In the warehouse system

140 in stock, but 60 are already promised to another customer.

Procurement

In a supplier email

More stock arrives Wednesday, if the supplier confirms.

Logistics

On the courier portal

Orders must leave by Thursday at 3 pm to arrive on Friday.

Contract

In a signed PDF

Split deliveries are allowed, so part can ship now.

Ragioneer brings that information together, with its meaning, relationships and permissions intact.

Turn scattered records into a model of your business.

Ragioneer Data Intelligence builds it in four steps, on the systems you already run.

Each system keeps its own copy of the same person. We link them, so every system points to one record.

Example: one patient, four systems

Today
AMorgan, JamesAppointments · ID 10432
LJ. MORGANLab results · LB-7781
Pjames.morganPharmacy · RX-55021
IJames R. MorganInsurance · 9-004-217
Same patient?

Four spellings, four IDs. Staff can’t be sure it’s one patient.

With Ragioneer

One patient, linked in every system.

Everyday words like “visit” get one agreed meaning, so every team counts the same thing the same way.

Example: “How many patients did we see this week?”

Today
Front desk“Everyone with an appointment.” 52visits
Clinicians“Everyone we actually examined.” 47visits
Billing“Every visit we’ve claimed for.” 41visits

Same word, three different answers.

With Ragioneer

Each count has its own name, and the gaps between them become useful.

Rules and contract terms stay attached to the data and up to date. When two sources disagree, the right person is asked.

Example: James’s follow-up visit

Today
Visit protocol v2Last updated 14 months ago
Two allergy recordsPenicillin None recorded

Out-of-date steps get followed, and nobody spots the clash.

With Ragioneer

The latest protocol applies, and clashes reach someone who can resolve them.

You decide who and what can see each record, what they can do with it and when a person has to approve.

Example: who can see James’s results?

Today

Hard to let AI help without exposing everything.

With Ragioneer

Everyone gets the access their job needs, and no more.

Explore Data Intelligence

Connect your data to AI, and the work changes.

With your records linked, defined and permissioned, AI stops guessing. It answers from your data, takes on approved work and shows you where to grow.

AI answers from your own records

Your systems feed one connected foundation, so every answer shows the records behind it.

AI does the routine work, you approve

It acts inside your rules, and a person signs off where it matters.

A clearer view for growth

Compare demand, staff and travel time before you open a new site.

Once the foundation is ready, learn from what it shows.

Ragioneer Decision Intelligence studies your history, spots where results drift from the plan and helps you test a fix before anything changes.

Follow-up visit length, week by week

Each column is a week of visits. The band is the time the clinic books for each one.

How it happened

1
Spot the change

Visits started running longer than the time booked for them.

2
Find the likely reason

It began when a new follow-up protocol added extra checks.

3
Test a fix

Book longer slots for follow-ups for four weeks and compare.

4
Update the plan

Clinical leads approve the new slot length for everyone.

Each finding comes with its evidence. Nothing changes until the right person approves it.

Explore Decision Intelligence

Built around the information your industry depends on.

The method stays the same; only the records change.

Construction

Win work you can actually deliver.

“Which bids look like projects we delivered well?”

Commerce

Grow on the offers that pay off.

“Which customers stay profitable after the first order?”

Banking and trading

One view of exposure you can trust.

“What is our total exposure to this client right now?”

Healthcare and research

Plan capacity around the real workload.

“Do we have capacity for next month’s visits?”

Legal services

Case knowledge every lawyer can reach.

“Which past cases match this client’s situation?”

Energy and regulation

Stay ahead of every rule change.

“Which of our sites does the new rule affect?”

Start with one part of the business.

We begin with a single decision or workflow, prove it on real work, then grow from there.

Pick the outcome

Choose one decision or workflow that matters, who owns it and how you will judge success.

Build what it needs

Connect only the sources it uses, agree what the key words mean and set who can see or act.

Test it on real work

Check answers against current records and real exceptions, and agree who keeps it running before you expand.

Every next step starts further ahead

The definitions, links and permissions you set up the first time are reused, so each new use takes less work than the last.

Bring one question your business needs answered.

Discuss your AI readiness

The teams we build with,
in their own words.

Founders and CEOs on what it was like to plan, build and ship with Ragioneer.

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.

Adam RianCEO, Aktus AI

Their expertise in RAG, Agentic AI, and prompt engineering has been pivotal. They built a hyper-personalized recommendation engine that significantly improved our system.

Sharaf GoussousCEO, XponixAI

Invaluable in expediting our RAG application. The team has been insightful consultants and capable engineers. I would highly recommend Ragioneer.

Utkarsh MittalCEO, Deeplogic AI

Delivered scalable, cost-efficient, and security-compliant architectures. Their strategic approach has significantly accelerated our product development.

Achhar SinghCEO, Eminence Technologies

From day one, they understood my vision and brought it to life with creativity, precision, and professionalism. Their continued partnership is transforming nursing education.

Otito Umoren UdomCEO, Nurzeluja

Notes on making business data usable for AI.

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Start with one question

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.