04 / 07 · AI Agent — Knowledge

AI Agent
Knowledge Automation

Automate access to corporate knowledge, speed up answers to internal requests and reduce load on HR, IT Support, Legal and Customer Service teams.

Talk to an expert
1–2months to pilot

A live agent on your own knowledge base

60%less HR/IT load

Fewer routine queries reaching your team

24/7availability

Answers at any hour, with consistent quality

Trusted by enterprise leaders

Microsoft
NVIDIA
Dell EMC
Amazon Web Services
Google Cloud
OpenAI

Pain points

Challenges we solve

What keeps your experts answering the same questions again and again.

01

Flow of typical internal questions overloads HR, IT Support, Legal and Customer Service — time consumed by repetitive answers

02

Qualified staff process routine requests instead of doing specialist work

03

New employees struggle to find information quickly, increasing load on support teams

04

Speed and quality of answers depends on individual expertise, creating bottlenecks

Methodology

How we deliver it

Our 6-step methodology takes the agent from your real documents to a governed production assistant.

Grounded in your knowledge

Answers come from your approved sources with citations.

Escalation by design

The agent knows what it must hand over to a human.

Pilot before scale

One function first, measured, then rolled out wider.

Typical timeline1–2 monthsTo a live pilot on your knowledge base; scale-out afterwards
01
Discovery & knowledge mapping

Map all corporate knowledge sources, define use cases and identify integration points with HR, IT, Legal and CRM systems

02
Knowledge base integration

Connect SharePoint, Confluence, internal wikis, HR systems and document repositories to the AI agent platform

03
Agent architecture design

Define Self-Service vs Role-Based scenarios, access control matrix, escalation logic and answer verification approach

04
MVP development & pilot

Build and test the agent with real knowledge sources and users — measure resolution rate, accuracy and user satisfaction

05
Production deployment

Deploy to all target users, integrate with existing tools (Teams, Slack, portal), configure monitoring and feedback loop

06
Continuous improvement

Monitor question coverage, update knowledge base, expand to new functions and use cases based on usage analytics

Interactive tool

Try the agent

See how the agent answers employee questions from corporate knowledge bases.

AI Agent

Online

Your AI assistant trained on company policies, procedures and internal documentation.

Secure & privateEnterprise-grade protection and data privacy
Knowledge poweredAnswers from verified corporate knowledge bases
Instant answersGet accurate information in seconds

AI Agent — live demo

See how the agent answers employee questions from corporate knowledge bases

Quick questions

What you get

Deliverables

01

Automated Q&A

AI agent answers typical questions from corporate knowledge bases 24/7 without specialist involvement

02

Single knowledge access point

Unified access to regulations, policies, instructions, FAQ and knowledge bases across all systems

03

Verified answers with citations

Every answer includes source citations and document links — fully auditable and trustworthy

04

Load reduction on teams

Reduced volume of incoming requests to HR, IT Support, Legal and Customer Service by 40–70%

05

Faster, consistent answers

Response time from minutes to seconds — same quality answer regardless of who asks or when

06

Multi-channel integration

Deploy in Teams, Slack, company portal, email or any interface your employees already use

Market benchmark

What AI agents actually resolve

«Handled» and «resolved» are different things. The figures below are end-to-end resolution — zero human follow-up — across enterprise programmes in 2026.

Share of queries resolved without a human, 2026
Medians and quartiles — your query mix decides the real number
Transactional queries — password resets, order status70%+
Top-quartile enterprise programmes, tier-159%
Median enterprise programme, tier-141%
Nuanced complaints and complex cases<25%
Static FAQ / help portal — true resolution14%
020406080100
$1.84 vs $13.50cost per contact: self-service vs agent-assisted (Gartner). Gartner projects agentic AI will autonomously resolve 80% of common service issues by 2029.

Sources: Zendesk CX Trends 2026 · Salesforce State of Service 2026 · Gartner customer-service research (primary) · cross-vendor 2026 benchmark aggregations (secondary). Knowledge-base quality and escalation design move these numbers more than the model does.

ROI

Estimate your savings

ROI estimator

Industry benchmarks — ranges, not guarantees

Employees in scope500
Avg. monthly salary ($)$2,000
Hours saved / person / week8h
-
Annual productivity gain
-
Hours freed per year
-
FTE equivalent

Why us

Why clients trust us

1

Scalable agent design — we build agents as production solutions: from Pilot/MVP to production-ready deployment

2

RAG & LLM expertise — deep knowledge of knowledge retrieval, embedding, chunking, reranking and quality evaluation

3

Verified answers — citations, source links and explainability built in — not a black box

4

Platform flexibility — Cloud (Azure / AWS / GCP), Hybrid or On-Premise — no vendor lock-in

Technology

Tech stack

Microsoft AI EcosystemAI-powered productivity, development and platform services
Microsoft 365 CopilotCopilot ChatCopilot StudioAzure AI SearchAzure AI FoundryMicrosoft Agent FrameworkAgent 365
Alternative Cloud PlatformsFlexible and scalable cloud infrastructure
AWSGoogle Cloudother cloud platforms
Hybrid & On-PremisePowerful on-premise AI and data solutions
Private AI Factory / NVIDIA AI EnterpriseLangChainPostgreSQL + pgvectorOpenSearchElasticsearchVector Databases for RAG

Timeline

Project timeline

~1–2 months
MVP / Pilot
Core KB + 1 use case deployed
~2–4 months
Production-ready
Multiple functions, full integration
~4–8 months
Complex multi-agent
Enterprise-wide, multi-system

Real results

Case studies

#1

AI agent for HR function — large industrial holding

AI agent working with collective agreements of 40+ subsidiary companies. Agent forms summary answers by question, shows which documents the conclusion is based on, and provides citations for verification. Reduced HR information processing time from hours to minutes.

#2

Helpdesk agent — IT service company

Handles recurring user requests from knowledge base and Helpdesk system. Answers most frequent request categories, creates tickets automatically, provides case status and open ticket information.

#3

AI agent for Legal department — industrial holding

Answers complex legal questions from public regulations and internal company policies. Provides citations and source links, enabling lawyers to use it as an analysis tool rather than a black box.

Frequently asked questions

Questions we hear most often

How fast can we launch a pilot?

A pilot typically runs within 1 to 2 months on a selected knowledge domain such as HR or IT.

How does the agent avoid making things up?

Answers are generated from your own knowledge bases and always include citations to the source documents.

Which languages are supported?

The agent works in English, Romanian and Russian, matching how teams in Moldova actually communicate.

How much load does it remove from internal teams?

In typical deployments the agent handles the recurring questions that account for up to 60% of HR and IT requests.

Ready to automate your knowledge?

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