AI-POWERED SYSTEMS

Put AI to work inside your business.

We design and build AI-powered systems that understand information, automate work, assist your team, and connect with the software your business already uses.

Explore an AI Project → See What We Build ↓
AI Agents Intelligent Workflows Internal Copilots Knowledge Systems AI Applications
INTELLIGENCE LAYER AI SYSTEM
Understand Reason Decide Act
C
CRM Customers & Sales
D
Documents Files & Knowledge
@
Email Messages & Requests
DB
Databases Business Data
O
Operations Tasks & Workflows
A
Applications Web & Mobile
AI WORKFLOW ACTIVE
01 Request analyzed ✓
02 CRM updated ✓
03 Response generated ✓
BEYOND THE CHATBOT

AI that doesn't just answer. It gets work done.

Modern AI can do far more than generate text. When connected to your software, data, and workflows, it can become an active part of how your business operates.

01
◎

Understand

Take in information from the systems and content your business already uses.

Documents Emails Customer Requests Business Data Images Internal Knowledge
→
02
◈

Reason

Apply AI, business rules, context, and structured logic to determine what should happen next.

Classify Analyze Compare Prioritize Recommend Plan
→
03
⚡

Act

Trigger approved actions across software, workflows, users, and connected systems.

Update Systems Create Tasks Generate Documents Notify Teams Trigger Workflows Assist Employees
WHAT WE BUILD

Intelligence designed around real business work.

AI is most valuable when it is part of a larger system designed around your data, processes, employees, customers, and technology.

01
AI

AI Agents

AI systems capable of handling multi-step tasks using your business tools, information, and workflows.

Research Analyze Execute Follow Up
02
Ask Zelttor AI...

Internal AI Copilots

Private assistants designed around your company's information, processes, systems, and employees.

Knowledge Search Employee Support
03
Input → AI → Action

Intelligent Workflows

Combine automation, business logic, and AI reasoning to reduce repetitive multi-step work.

Automation Routing Business Logic
04
DATA

Document Intelligence

Turn PDFs, forms, contracts, reports, and other unstructured information into usable business data.

Extract Summarize Compare Validate
05
AI

AI Knowledge Systems

Help employees find answers buried across documents, policies, databases, and internal information.

RAG Semantic Search Q&A
06

AI-Powered Applications

Build AI directly into internal tools, customer-facing platforms, mobile apps, and web applications.

Recommendations Generation Analysis
THE WORKFLOW CHANGES

Same business. A completely different workflow.

AI doesn't necessarily need to replace the employee. It can remove the repetitive work surrounding the employee.

WITHOUT AI
01 Customer submits request
02 Employee opens request
03 Reads attachments
04 Searches internal systems
05 Copies information into CRM
06 Determines next step
07 Writes response
08 Creates follow-up task
Manual work surrounds every decision
WITH AN AI-POWERED SYSTEM
01 Customer submits request HUMAN
02 AI analyzes request + attachments AI
03 Relevant company information retrieved AI
04 CRM updated automatically AUTO
05 Recommended action prepared AI
06 Employee reviews HUMAN
07 Approve ✓
Human judgment stays. Repetitive work disappears.
CONNECTED INTELLIGENCE

Your business becomes the operating environment.

Your AI system doesn't have to live in isolation. It can be designed to work with approved tools, information, and systems your business already relies on.

YOUR AI SYSTEM Intelligence Layer
CRM Sales & Customers
Email Messages
Documents Knowledge
ERP Operations
Database Business Data
Website Customers
Mobile App Users
APIs Other Systems
HUMAN-IN-THE-LOOP

Automate what makes sense. Keep humans where they matter.

The right level of AI autonomy depends on the workflow, business risk, data, and consequences of the action.

LEVEL 01
◇

Assist

AI analyzes information and recommends what a person should consider doing next.

AI → Employee → Decision
Best for higher-risk or judgment-heavy workflows.
LEVEL 02
✓

Approve

AI prepares the action, but a person reviews and approves it before anything happens.

AI → Approval → Action
Useful for communications, transactions, and important actions.
LEVEL 03
⚡

Automate

Defined workflows can run automatically when the appropriate rules and conditions are met.

Trigger → AI → Action
Best for repetitive, predictable, lower-risk processes.
We design autonomy around the workflow and business requirements — not simply around what AI can technically do.
WORK WITH WHAT YOU ALREADY HAVE

You don't need to replace your technology stack.

AI can potentially sit across the software your business already uses and create an intelligent layer between disconnected systems and your team.

Instead of employees constantly switching platforms, searching for information, copying data, and coordinating actions manually, an AI layer can help orchestrate work across supported systems.

Salesforce
HubSpot
Email
Documents
ERP
Databases
APIs
→
INTELLIGENCE LAYER AI
Retrieve
Reason
Coordinate
Act
→
YOU
Your Team One intelligent interface
WHERE AI CAN CREATE VALUE

Intelligence across the business.

The best AI opportunity is often hidden inside a process your employees already perform every day.

01

Sales

  • Lead research
  • Account intelligence
  • CRM updates
  • Follow-up preparation
02

Operations

  • Workflow automation
  • Document processing
  • Data extraction
  • Task coordination
03

Customer Service

  • Request classification
  • Support assistants
  • Response drafting
  • Knowledge retrieval
04

Finance

  • Document analysis
  • Invoice processing
  • Data validation
  • Reporting support
05

Leadership

  • Reporting
  • Business intelligence
  • Decision support
  • Trend analysis
06

Employees

  • Internal copilots
  • Knowledge search
  • Process guidance
  • Administrative support
HOW WE BUILD AI SYSTEMS

Start with the workflow. Then design the intelligence.

AI should solve a defined business problem. We start by understanding the work before deciding where AI belongs.

01
◎

Discover

Understand the workflow, users, systems, data, bottlenecks, and goals.

02
◇

Design

Determine where AI creates value and where traditional software is the better tool.

03
△

Prototype

Build and validate the core AI workflow before scaling the solution.

04
⌘

Integrate

Connect approved business data, software, APIs, and tools.

05
✓

Test

Evaluate outputs, edge cases, permissions, reliability, and failure modes.

06
↑

Deploy

Launch the system into the actual workflow and user environment.

07
↗

Improve

Refine the system as workflows, data, and business requirements evolve.

CONTROL & GOVERNANCE

Built with control in mind.

AI systems should be designed around appropriate access, permissions, review, and workflow controls for the use case.

◉

Data Access

Design access around the information the system actually needs for its intended workflow.

⌾

Permissions

Control what users, AI workflows, and connected systems are allowed to access or execute.

✓

Human Approval

Require review before defined actions are completed when the workflow calls for it.

◫

Monitoring

Design important AI actions and outputs so they can be evaluated and reviewed where needed.

THE TECHNOLOGY

Model-agnostic. Business-first.

The AI model is only one component. The real value comes from the software, data, integrations, controls, and workflows built around it.

01

AI Models

Language and multimodal models selected around the use case and requirements.

02

Retrieval & Knowledge

RAG · Vector Search · Company Data · Search

03

Agent Systems

Tool Use · Multi-Step Workflows · Business Logic

04

Integrations

APIs · Databases · CRM · Cloud · Internal Software

05

Applications

Web · Mobile · Internal Tools · Dashboards

THE DIFFERENCE

More than a model.

The AI may provide intelligence. Zelttor builds the system around it.

AI-POWERED SYSTEMS FAQ

Questions before you build with AI.

You don't need to understand AI architecture before bringing us a business problem.

01 Is this just ChatGPT connected to my business?
Not necessarily. Large language models may provide part of the intelligence, but a production AI system can also require application logic, permissions, databases, integrations, retrieval systems, user interfaces, workflow orchestration, monitoring, and human approval mechanisms.
02 Can AI connect to our existing software?
Often, yes. Where supported integrations, APIs, access, and permissions exist, AI-powered systems can potentially work with CRMs, databases, document repositories, internal applications, cloud services, and other business software.
03 Can you build a private AI assistant around our company information?
Yes, depending on the use case and available information. AI systems can be designed to retrieve approved company content and use that information to generate more relevant, grounded responses for employees or customers.
04 Can an AI agent actually perform actions?
Yes, when properly integrated and authorized. AI systems can be designed to invoke software tools, APIs, or predefined workflows. The appropriate level of autonomy should depend on the task, consequences, permissions, and business risk.
05 Will AI replace our employees?
Our focus is generally on removing repetitive work, improving access to information, accelerating workflows, and helping employees accomplish tasks more effectively. Not every process should or needs to become fully autonomous.
06 What happens when AI gets something wrong?
AI systems can produce incorrect outputs, so reliability needs to be designed around the use case. Depending on the workflow, that can include structured outputs, validation rules, restricted actions, confidence checks, human review, testing, and monitoring.
07 Do we need a huge amount of data to use AI?
Not always. Some AI use cases can work with existing models plus a relatively small amount of company-specific information, while others depend heavily on access to structured historical data. We evaluate what information the workflow actually requires before recommending an approach.
08 How do we know where AI makes sense in our business?
Start with the work rather than the technology. Repetitive processes, document-heavy workflows, frequent knowledge searches, manual data movement, classification tasks, and multi-step administrative work can all be useful places to investigate. We can help determine whether AI, traditional automation, custom software, or a combination is appropriate.
BUILD WITH AI

What could your business do if your software could think?

Bring us the workflow, bottleneck, or idea. We'll help determine where AI can create real value — and build the system around it.

Explore an AI Project →
Agents · Automation · Knowledge · Applications · Integrations
ai-system.workflow
input customer_request
→ understand context
→ retrieve business_data
→ reason next_action
→ await human_approval
✓ execute approved_workflow
SYSTEM READY