CEVYRA / ENTERPRISE ARTIFICIAL INTELLIGENCE
AI that works
for your
business.
We build AI systems tailored to your company. Connected to your data, ready to support your people and move your operations forward.
FROM DATA TO BUSINESS VALUE
Built for your business
DATA SOURCES
ERP & CRM
PDF & Excel
Email
Database
Cevyra AI Layer
Your knowledge. Your AI.
BUSINESS OUTCOMES
AI assistant
Automation
Analysis & insight
AI agent
Permission-aware access
Alongside your existing systems
01 / AI
From scattered data to connected operations. Put your company’s knowledge to work, every day.
Purpose-built systems. Designed around your business.
Explore the potential
Faster access to knowledgeOperational efficiencyOrganizational memoryBetter-informed decisions
02 — SCATTERED KNOWLEDGE, LOST TIME
Your business has the knowledge. Can your people actually use it?
The answers sit across systems, files and people’s memories. Every search adds another step between your team and the work.
What does this error code mean in the service manual?
Technical documentationWhy are we behind our sales target this month?
ERP + ExcelWhich clauses in this agreement need attention?
Contract archiveEnterprise AI makes the knowledge you already have easier to put to work.
03 — ENTERPRISE AI, EXPLAINED
Your business needs more than general answers.
Enterprise AI works with your documents, processes and software to solve specific business problems. A layer of knowledge and operations built around your company.
Explore enterprise AIGeneral-purpose AI
General knowledgeGeneral questionsGeneral answers
AI tailored to your company
Company knowledge + business rulesERP + CRM + documentsSourced answers + business actions
04 — BUSINESS OUTCOMES COME FIRST
New technology. Real value for your business.
Invest in AI to improve how your business performs. Every implementation should have a clear business purpose.
01 / ACCESS TO KNOWLEDGE
Less time finding information. More time putting it to work.
Ask a question instead of switching between folders, documents and systems. Get an answer with its source.
Traditional search
20 minutes
AI-assisted access
10 seconds
Illustrative scenario. Actual results depend on your data and use case.
Operational efficiency
Reduce repetitive reporting, record checks and document reviews. Give your people more time for work that creates value.
Keep knowledge in the business.
Make procedures, technical knowledge and past projects accessible. Reduce dependence on a handful of people holding all the answers.
A shorter path to decisions.
Support decisions with summaries, comparisons and sourced analysis, instead of manually reviewing report after report.
Understand each customer in context.
Bring conversations, product knowledge and proposals together. Help sales and support teams respond with better context.
Support growth without friction.
Structure repetitive operations as information and processes become more complex. Scale selected workflows with your existing team.
Get more from the resources you have.
Improve how time is used by reducing manual checks and repeated work. Measure the cost impact during a pilot.
05 — BEFORE AI / AFTER AI
The same work. A shorter path.
Today
With AI
Finding information
TodayFile → folder → colleague → email → ERP
With AIAsk → get a sourced answer
Reporting
TodayExcel → collect data → check → report
With AIAI → analyze → summarize → review
Customer history
TodayRead CRM records one by one
With AISummarize the last 12 months with one question
Technical support
TodaySearch through PDFs and manuals
With AIAsk your technical assistant, verify the source
06 — OPPORTUNITY IN EVERY DEPARTMENT
Where should we start in your business?
Real questions from everyday work. Solutions designed around the way your teams operate.
Leadership
Bring scattered reports into one executive summary so leaders can reach the information behind a decision sooner.
- Executive reporting
- KPI comparisons
- Risk indicators
- Data summaries
- Decision support
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
Why are we behind our sales target this month?
Illustrative response: I compared targets and actuals by product group and region. Delayed proposals and deferred orders are listed separately, with links to the records you can review to establish the causes.
Source context
Example sources: sales report · CRM opportunities · ERP orders
Sales
Connect customer history, open opportunities and proposal details so your team starts every conversation prepared.
- CRM and customer history analysis
- Proposal drafts
- Opportunity and lead assessment
- Sales knowledge assistant
- Follow-up planning
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
Summarize our recent conversations and open proposals for this customer.
Illustrative response: I brought together meeting notes, the current proposal version and unanswered questions. I also prepared suggested follow-up steps for the account owner to review.
Source context
Example sources: CRM meeting notes · proposal files · product catalog
Human Resources
Answer policy and onboarding questions from approved sources, reducing repeated requests to your HR team.
- Policy and procedure search
- Onboarding guidance
- Employee knowledge assistant
- Permission-aware document access
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
What should a new employee complete during their first week?
Illustrative response: I organized the onboarding guide into document submission, account setup and orientation. Each step includes the responsible team and a link to the relevant procedure.
Source context
Example sources: onboarding guide · company procedures · employee handbook
Production
Make technical documents and production records easier to search so teams can find the information they need.
- Technical knowledge assistant
- Maintenance document search
- Error record comparisons
- Production data summaries
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
Which technical document covers this machine error code?
Illustrative response: I found the error-code section matching the machine model and document version. The relevant service instruction and source page are linked; an authorized technician should confirm any intervention steps.
Source context
Example sources: technical manual · maintenance documents · production records
Operations
Automate routine checks, classification and reporting so your team can focus on exceptions that need attention.
- Workflow automation
- Operational reporting
- Record and consistency checks
- Exception tracking
- Operations assistants
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
Find overdue orders and prepare a follow-up list for the operations team.
Illustrative response: I identified orders past their planned delivery date and flagged missing status updates. The follow-up list includes the responsible team, latest update and suggested checks.
Source context
Example sources: ERP orders · shipment records · operating procedures
Finance
Compare financial documents and period data to make discrepancies easier to identify and review.
- Financial document analysis
- Report summaries
- Cost comparisons
- Data consistency checks
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
Compare this month's costs with the previous period and summarize the changes.
Illustrative response: I compared cost categories using a consistent reporting scope. Changes are linked to source records, and discrepancies that need an explanation are flagged for the finance team.
Source context
Example sources: cost reports · budget files · accounting records
Customer Service
Bring product knowledge and support history into the same workflow to help teams prepare more consistent responses.
- Product knowledge assistants
- Support request classification
- Conversation history analysis
- Source-based response drafts
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
Summarize this customer's previous support requests and draft a response.
Illustrative response: I summarized previous requests, solutions already tried and unresolved issues. A draft based on current product documentation is ready for the support representative to approve.
Source context
Example sources: support records · product documentation · knowledge base
IT
Make internal documentation and system knowledge searchable so technical teams can find answers faster.
- Internal knowledge base
- Technical documentation search
- System integrations
- Developer knowledge assistant
Cevyra AI Assistant
ILLUSTRATIVE USE CASE
Find the API integration guide and access requirements for this application.
Illustrative response: I listed the current integration guide alongside the access requirements and flagged retired documents. The implementation references come only from sources you have permission to access.
Source context
Example sources: internal knowledge base · API documentation · system guides
07 — CEVYRA AI SOLUTIONS
Beyond a single product. An AI foundation of your own.
Assistants, knowledge systems and automation working together. Connected to your software and governed by your business rules.
All solutions
01
Enterprise AI Assistants
Turn company knowledge into answers your teams can ask for and verify at the source.
02RAG Systems
Make documents searchable by meaning. Ground answers in relevant company knowledge.
03AI Agents
Build systems that carry out defined tasks within permissions and human approval steps.
04Process Automation
Connect recurring reports, checks and document work to your teams’ everyday workflows.
05LLM Integrations
Connect language models to your applications based on quality, privacy, cost and speed.
06System Integrations
Bring ERP, CRM, APIs and internal applications into a controlled flow of information and actions.
07AI Consulting
Evaluate business value and feasibility together, then start with the right pilot.
08 — FROM KNOWLEDGE TO ANSWERS / RAG
How does AI work with your company’s knowledge?
For each question, the system retrieves relevant information from permitted sources. AI uses that context to prepare an answer you can trace back to its source.
-
01
Connect sources
Define documents, databases and access permissions.
-
02
Prepare knowledge
Make information searchable by its meaning.
-
03
Understand the question
Consider the question and the user’s access rights.
-
04
Retrieve relevant context
Find relevant passages the user is permitted to access.
-
05
Answer with sources
Prepare a contextual answer and show its sources.
This approach uses company knowledge without requiring model retraining. When sources are insufficient, the system should say so.
RAG Systems
09 — FROM INSIGHT TO ACTION / AI AGENTS
AI that does more than answer questions.
An agent can coordinate multiple steps within defined permissions: review customer history, check a proposal and prepare a follow-up plan.
Explore the details
ILLUSTRATIVE USE CASE
“Review this customer’s status and prepare a follow-up plan for the sales team.”
- 1 Review CRM history
- 2 Check the proposal status
- 3 Identify missing actions
- 4 Submit the follow-up plan for approval
Your team stays in control of critical actions.
10 — CONNECTED SYSTEMS
Build on the systems you already use.
AI becomes a connected layer across your ERP, CRM, documents and internal applications, working within your access rules.
Explore the details
ERP
CRM
SQL
API
PDF
Excel
Email
SharePoint
Drive
Internal apps
Connection methods are confirmed during discovery, based on available APIs and system access.
11 — TRUST, BUILT INTO THE ARCHITECTURE
Your company’s knowledge. Your company’s rules.
Access, permissions and auditability are designed from the start. What a user can retrieve through AI should stay within their existing authorization.
Our approach to security
01
Role and user-based access
02
Source-level permissions
03
Action and access logs
04
API security and data isolation
12 — A CLEAR PATH, TOGETHER
From first idea to working AI.
Prove value within a focused scope. Validate with real users. Then expand with confidence.
Explore the details-
01
Discovery
We review workflows, time-consuming tasks and data sources with your teams. Together, we define success measures, access boundaries and technical requirements.
-
02
Use Case Selection
We assess candidate use cases by business value, data readiness and implementation effort. We agree on the scope and measurable objectives for the first application.
-
03
Proof of Concept
We build a working proof of concept using a limited dataset. We test answer quality, source accuracy and the technical feasibility of the selected use case.
-
04
Pilot
A selected group of users tests the system against real work questions. We review their feedback and results against the success measures agreed at the start.
-
05
Integration
We connect your ERP, CRM, databases and other relevant sources. We configure permissions, data update workflows and the human approvals each process requires.
-
06
Production
After acceptance checks are complete, we release the system for operational use. We prepare your teams and put monitoring and support processes in place.
-
07
Optimization
We review usage, unsuccessful queries and user feedback. We improve source coverage, answer quality and workflows based on measured results.
13 — ONE SCENARIO / TECHNICAL KNOWLEDGE ASSISTANT
Thousands of pages. One focused question.
Imagine a company with over 1,000 PDFs, technical catalogs and service manuals. Instead of finding a file and searching through it, an employee starts with a question.
Illustrative scenario and sample data, not an actual product specification.
Cevyra AI Assistant
What is the maximum spindle speed for model X?
The illustrative model X specification lists a maximum spindle speed of 12,000 rpm. Check the configuration notes in the same manual for optional equipment.
Show source excerpt
Sample technical catalog · Section 3.2 · Page 24
Technical specifications / Model X — Standard spindle: 12,000 rpm. Configuration: standard equipment.
14 — HOW WE MEASURE SUCCESS
Success is measured in business value. Not in model names.
01
Time
Time spent searching and completing manual tasks.
02
Operations
Completed tasks, exceptions and rework.
03
Knowledge
Accessible sources and verifiable answers.
04
Decisions
Time from preparing information to evaluating it.
We start an AI project by defining the business problem, before choosing the technology.
15 — FIRST STEP / A QUICK ASSESSMENT
Is your business ready for AI?
Select the challenges you recognize in your business. Let’s see where a useful starting point might be.
0 / 8
selected challenges
Identify your AI opportunities
Select the situations that apply to your business.
This is a conversation starter. Data quality, permissions and process suitability still need to be assessed.
16 — OUR APPROACH
Why Cevyra?
A practical approach, from understanding the business problem to building software that works in daily operations.
Built around your company
Design the solution around your needs and business rules.
Software and AI together
Consider AI as part of your existing software environment.
Integration at the core
Connect ERP, CRM, APIs and custom applications.
Start with a focused pilot
Validate value in a measurable use case before expanding.
From discovery to daily use
Carry the work through analysis, delivery and improvement.
YOUR NEXT STEP
Let’s find where AI can make a real difference in your business.
Tell us about your processes, data and challenges. Together, we can identify a practical first use case.