AI Support Assistant

AI assistant  based on
your organization’s knowledge

Features of the AISA system

Safety

AISA operates on the basis of corporate permission and authorization systems, ensuring that users only have access to the information they are authorized to see. Data remains within the organization and is not fed into public AI models.

Versatility

The system can serve as a central AI layer embedded in various processes and applications within an organization. A single solution supports multiple teams and usage scenarios.

Flexibility

AISA allows you to work on both local and cloud models, with the ability to configure how responses are generated. The system adapts to the security policy and needs of the organization.

What is AISA and what role does it play in the organization?

AI Support Assistant is an intelligent assistant designed to meet the real needs of organizations where knowledge is scattered across documents, articles, procedures, and systems. Unlike public AI chatbots, AISA draws on knowledge from resources provided by the organization without sharing them outside the organization.

The user works in a simple chat interface, while the system searches for the right context in the knowledge base in the background, taking into account the organizational structure and permissions. Based on this, the language model generates a response that is consistent with internal documents and the current state of knowledge.

AISA can operate as a standalone assistant or as a central AI layer integrated with existing systems – from helpdesk and CRM to backend processes.

Benefits for your business

Full organizational knowledge

AISA uses company documents and articles without sending data to public models orlearningfrom other people’s information.

No hallucinations or random responses

The answers are generated based on verified sources of knowledge, which eliminates the risk of incorrect or fabricated information.

Full control of access and permissions

Users can only see the information they have access to, including at the level of individual documents and attachments.

Flexibility in choosing AI models

Ability to work on local (onpremise) or cloud models, in accordance with the organization’s security policy.

Faster teamwork

Less time spent searching for information, more time spent doing the right things.

One source of knowledge across the entire organization

Consistent responses regardless of department, system, or user.

AISA – an intelligent AI assistant based on organizational knowledge

AI Support Assistant (AISA) is a solution that transforms scattered documents and procedures into easily accessible company knowledge. The system acts as a secure AI layer that searches internal resources and provides answers, taking into account each user’s permissions. By relying solely on verified data, AISA eliminates the risk of hallucinations and increases the operational efficiency of the team. The solution is available in flexible models (SaaS or on-premises), guaranteeing full control over data security.

Quick access to company knowledge

Safe use of AI in your organization

Consistency of responses across the organization

Fewer mistakes and less improvisation

Reduced workload for teams and faster service

AI tailored to company processes

The practical application of AISA

AISA works well wherever quick access to up-to-date and reliable knowledge is crucial for the effectiveness of teams.

Example usage scenarios:

  • IT helpdesk and internal support
  • Contact Center and customer service
  • CRM and sales teams
  • Operational and process support
  • Product and technical knowledge
  • HR and employee onboarding

AI Support Assistant is not just a “chat in the browser,” but a central AI layer that can be embedded into existing processes and applications.

Open API and headless mode

AISA provides an open API that allows for seamless integration of the assistant with any applications and business processes. Thanks to the so-called headless mode, the system can act as an invisible AI layer – it can be called from other platforms, initiate conversations via API, or even send single queries without chat context.

Integration with systems

AISA can be easily integrated into your existing IT ecosystem – both Altar products and external customer platforms. The assistant can operate as an embedded widget (e.g., within an intranet or knowledge base system) or be called by an API in the background of business processes (e.g., in workflows, bots, or portals), allowing users to leverage AI in their existing tools.

Multi-model and configuration

The system supports multi-model mode, which means complete freedom in the selection and configuration of AI models. AISA can use both local models (implemented on-premise) and external cloud models (e.g., from OpenAI), and the administrator has control over parameters such as context length and prompt formatting.

Automatic knowledge synchronization

The assistant synchronizes with the company’s Knowledge Base on an ongoing basis, so it always responds based on the latest information. AISA automatically indexes new or modified documents and cleans up deleted content, eliminating the need for manual updates and ensuring that responses are up to date.

Support for many organizations

AISA can handle multiple separate knowledge collections simultaneously, allowing a single implementation to serve different departments, branches, or companies within a group. Permissions and access to information are isolated for each collection; users can only see the categories and documents to which they have been authorized.

Full conversation history

All conversations with the assistant are archived, which enables auditing and insight into the course of each conversation. In addition, the system collects metrics (e.g., number of tokens, response generation time) and user ratings (feedback), which provides data for continuous improvement of AISA quality.

Model wdrożenia dostosowany do Twoich potrzeb

SaaS
On Premises
INSTALLATION
The software is installed on the infrastructure of the manufacturer or its cloud technology partner-supplier with a data center in Poland, which remains its property and is maintained by it.
The software is installed on the Customer’s infrastructure, which remains their sole property. The customer is also responsible for maintaining all necessary equipment.
SOFTWARE LICENSES
None – subscription model.
One-time license fee to get started. The total cost of the solution may be lower than with SaaS.
INFRASTRUCTURE
On the supplier’s side.
On the customer’s side.
IMPLEMENTATION
Faster.
Longer.
PROOF OF CONCEPT
Possible. PoC lasts 4-6 weeks on a selected part of the service process where the customer expects improvement.
Possible. PoC lasts 4-6 weeks on a selected part of the service process where the customer expects improvement.
IMPLEMENTATION STAGES
Pre-implementation analysis, configuration, necessary development, testing, migration, implementation with launch assistance, training, integration with external systems, development, and maintenance.
Pre-implementation analysis, configuration, necessary development, testing, migration, implementation with start-up assistance, training, integration with external systems, development, and maintenance.
SAFETY
Infrastructure security, application backup on the provider’s side.
Infrastructure security, backup on the client side, and applications on the provider side.
CONTROL
On the supplier’s side – included in the price of the service.
Full control over the system.
MAINTENANCE COSTS
Monthly fee for using the system; OPEX (operating budget) increases, CAPEX (investment budget) decreases.
No monthly usage fees; CAPEX (capital expenditure) increases, OPEX (operating expenditure) decreases.
NEW SOFTWARE VERSION
More frequent updates – included in the price of the service.
Less frequent updates – paid for under Maintenance.
SERVICE
Basic included in the price or range to choose from at an additional cost depending on the expected SLA.
Basic included in the price or scope to choose from at an additional cost depending on the expected SLA.
MAINTENANCE
Included in the price of the service.
Additional charge applies.
CUSTOMIZATION
Full customization, additional fee applies.
Full customization, additional fee applies.
KNF REQUIREMENTS
Meets requirements.
Meets requirements.
RODO COMPLIANCE
Meets requirements.
Meets requirements.
COMPLIANCE WITH Tier III Uptime Institute STANDARD REQUIREMENTS
Yes.
In accordance with the Customer’s policy.
ISO/IEC 27001:2013 CERTIFICATE (Information Security Management System)
Yes.
In accordance with the Customer’s policy.
ISO 9001:2015 CERTIFICATE (Quality Management System)
Yes.
In accordance with the Customer’s policy.
CERTYFIKAT EPI-DCOS (Data Centre Operations Standard)
Yes, 11 management areas.
In accordance with the Customer’s policy.
HIGH LEVEL OF DATA CENTER SECURITY
Yes.
In accordance with the Customer’s policy.
COMPLIANCE WITH THE SoA DECLARATION
Yes.
On the customer’s side.
FEATURES
Full functional range.
Full functional range.
INTEGRATIONS
Open to integration, scope to be determined.
Open to integration, scope to be determined.
INSTALLATION
SaaS
The software is installed on the infrastructure of the manufacturer or its cloud technology partner-supplier with a data center in Poland, which remains its property and is maintained by it.
On Premises
The software is installed on the Customer’s infrastructure, which remains their sole property. The customer is also responsible for maintaining all necessary equipment.
SOFTWARE LICENSES
SaaS
None – subscription model.
On Premises
One-time license fee to get started. The total cost of the solution may be lower than with SaaS.
INFRASTRUCTURE
SaaS
On the supplier’s side.
On Premises
On the customer’s side.
IMPLEMENTATION
SaaS
Faster.
On Premises
Longer.
PROOF OF CONCEPT
SaaS
Possible. PoC lasts 4-6 weeks on a selected part of the service process where the customer expects improvement.
On Premises
Possible. PoC lasts 4-6 weeks on a selected part of the service process where the customer expects improvement.
IMPLEMENTATION STAGES
SaaS
Pre-implementation analysis, configuration, necessary development, testing, migration, implementation with launch assistance, training, integration with external systems, development, and maintenance.
On Premises
Pre-implementation analysis, configuration, necessary development, testing, migration, implementation with start-up assistance, training, integration with external systems, development, and maintenance.
SAFETY
SaaS
Infrastructure security, application backup on the provider’s side.
On Premises
Infrastructure security, backup on the client side, and applications on the provider side.
CONTROL
SaaS
On the supplier’s side – included in the price of the service.
On Premises
Full control over the system.
MAINTENANCE COSTS
SaaS
Monthly fee for using the system; OPEX (operating budget) increases, CAPEX (investment budget) decreases.
On Premises
No monthly usage fees; CAPEX (capital expenditure) increases, OPEX (operating expenditure) decreases.
NEW SOFTWARE VERSION
SaaS
More frequent updates – included in the price of the service.
On Premises
Less frequent updates – paid for under Maintenance.
SERVICE
SaaS
Basic included in the price or range to choose from at an additional cost depending on the expected SLA.
On Premises
Basic included in the price or scope to choose from at an additional cost depending on the expected SLA.
MAINTENANCE
SaaS
Included in the price of the service.
On Premises
Additional charge applies.
CUSTOMIZATION
SaaS
Full customization, additional fee applies.
On Premises
Full customization, additional fee applies.
KNF REQUIREMENTS
SaaS
Meets requirements.
On Premises
Meets requirements.
RODO COMPLIANCE
SaaS
Meets requirements.
On Premises
Meets requirements.
COMPLIANCE WITH Tier III Uptime Institute STANDARD REQUIREMENTS
SaaS
Yes.
On Premises
In accordance with the Customer’s policy.
ISO/IEC 27001:2013 CERTIFICATE (Information Security Management System)
SaaS
Yes.
On Premises
In accordance with the Customer’s policy.
ISO 9001:2015 CERTIFICATE (Quality Management System)
SaaS
Yes.
On Premises
In accordance with the Customer’s policy.
CERTYFIKAT EPI-DCOS (Data Centre Operations Standard)
SaaS
Yes, 11 management areas.
On Premises
In accordance with the Customer’s policy.
HIGH LEVEL OF DATA CENTER SECURITY
SaaS
Yes.
On Premises
In accordance with the Customer’s policy.
COMPLIANCE WITH THE SoA DECLARATION
SaaS
Yes.
On Premises
On the customer’s side.
FEATURES
SaaS
Full functional range.
On Premises
Full functional range.
INTEGRATIONS
SaaS
Open to integration, scope to be determined.
On Premises
Open to integration, scope to be determined.

Proces wdrożenia

Analysis of the organization’s knowledge and needs

First, we identify the sources of knowledge, organizational structure, and usage scenarios for AISA. We determine which documents, articles, and attachments will be indexed, as well as who should have access to them and to what extent.

Configuration of models, context, and permissions

We configure how the context of responses is built, the selection of AI models (local or cloud-based), and the rules for accessing knowledge. This allows AISA to generate responses that are consistent with the security policy and structure of the organization.

Integration with systems and processes

AISA can be launched as a standalone assistant or integrated with existing systems such as helpdesk, CRM, intranet, or backend applications. Integration is achieved through ready-made mechanisms or APIs, without interfering with key business processes.

Launch and further optimization

After launching the system, we monitor response quality, usage metrics, and user feedback. AISA grows alongside the organization’s knowledge base, thanks to automatic synchronization and the ability to further fine-tune the configuration.

FAQs

Does AISA use public data?

It depends on the configuration – it is possible to work exclusively on knowledge supplied from the organization’s local sources.

Is data transferred to OpenAI?

No. AISA does not disclose information outside the organization, your data is completely secure.

How does AISA prevent AI hallucinations?

Responses are generated based on specific document fragments.

How long does implementation take?

With structured data available to feed AISA with organizational knowledge, initial launch is possible within a week.

Can AISA be integrated with other systems?

Yes, through API or ready-made integration mechanisms.

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