Email processing
Important requests get lost in inboxes or are routed manually.
An agent can classify emails, extract required data, draft replies and escalate sensitive cases.
Possible systems: Email, CRM, ticketing, documents, databases.
AI, automation and IT infrastructure
Solutions for processes that consume time
Each solution starts from the real problem, involved systems and limits where decisions must remain with humans.
AI, automation and IT infrastructure delivered by DAHA SOFTWARE SRL.
Solution examples
Below are common processes where automation can reduce repetitive work. For each case, implementation depends on existing applications, internal rules and the required level of control.
Document automation
Data from PDFs, contracts or forms is copied manually.
The system can extract, validate and send data to the right applications, with human review when confidence is low.
Possible systems: OCR, document storage, ERP, spreadsheets, internal apps.
Employee assistance
Teams lose time searching procedures and internal information.
A controlled assistant searches documentation and answers with sources and explicit limits.
Possible systems: Wiki, Drive, SharePoint, databases, internal apps.
AI-assisted IT support
Repetitive IT requests consume administrative time.
The agent can triage tickets, collect missing information, suggest steps and execute approved API actions.
Possible systems: Ticketing, inventory, monitoring, identity directories.
Application integration
The same data is entered multiple times in different systems.
We build workflows that synchronize applications and keep a full change log.
Possible systems: APIs, webhooks, databases, ERP, CRM.
Internal documentation search
Information exists but is hard to find quickly.
We index documentation in a controlled way and provide semantic search with permissions and audit.
Possible systems: Files, wiki, databases, DMS systems.
Offer automation
Commercial offers are assembled manually from repeated information.
The system can collect requirements, generate drafts and route the offer for approval.
Possible systems: CRM, templates, products, approved prices, email.
Reporting automation
Reports are compiled manually from several sources.
Data is collected periodically, checked and delivered to relevant teams.
Possible systems: Databases, spreadsheets, BI, email, operational systems.
Private AI agents
The company wants AI without excessive data exposure.
We design agents with least-privilege access, separated environments and limits for external data transfer.
Possible systems: Private or controlled LLMs, local storage, internal APIs.
Infrastructure for AI applications
A demo works, but is not ready for production.
We configure runtime, monitoring, backup, security and maintenance for AI systems.
Possible systems: Linux, containers, VMs, storage, networking, backup, monitoring.
Control and limits
Impactful decisions, external communications and irreversible actions can remain subject to human approval. Results depend on data quality, available access and clear operating rules.
Do you have a repetitive process that consumes time?
Describe the process, involved applications and target outcome. We will assess whether it can be automated and what implementation fits.
Describe the process