AI AGENTS ECOSYSTEM

Giper AI Agents Ecosystem
Next-Generation Automation

10 types of intelligent agents that work 24/7, make decisions, and free your team from routine

80%
requests processed automatically
24/7
work without weekends and vacations
10+
agent types in the ecosystem
0₽
for sending data to OpenAI cloud

What are AI Agents?

And why they are more effective than ordinary automation

What are AI Agents? AI agents are programs that don't just perform pre-written actions (like scripts or Zapier) but make decisions based on context. They analyze data, understand intentions, predict results, and act autonomously.

Imagine: ordinary automation is a traffic light. It switches by timer or sensor. An AI agent is a traffic controller who sees the situation as a whole, evaluates priorities, and makes the optimal decision at the current moment.

Why agents are more effective than Zapier and Make.com?

  • Contextual Understanding: The agent reads the entire dialogue, understands the tone and intentions, rather than just triggering on a keyword
  • Adaptability: The agent learns from your data and improves its work. Zapier just repeats the same thing
  • Confidentiality: Local LLMs on your servers. Data doesn't go to OpenAI, Google, Microsoft
  • Complex Logic: The agent can make decisions with many conditions that would turn into hundreds of branches in Zapier

The Giper ecosystem includes more than 10 types of agents covering all aspects of business: from communicating with clients to analyzing team effectiveness. All agents work on your infrastructure, use local AI models, and are integrated with each other through a single database.

5 Agent Types in Giper Ecosystem

Each type solves its own class of tasks

Trigger Agents

Track events in systems and launch actions when conditions are met

Analytical Agents

Process data, find patterns, generate insights

Communication Agents

Interact with clients, answer questions, qualify leads

Synchronization Agents

Connect different systems, synchronize data between services

Intelligent Agents

Make decisions based on context, learn from data

And many others

Agents can be combined, creating multi-agent systems to solve complex business processes

10 Key Agents of the Ecosystem

Detailed description of each agent with usage examples

1

Sales Funnel Synchronization Agent

Synchronization

Tracks changes in GiperCRM and Chatwoot, automatically syncs deal and chat statuses.

Triggers

  • Deal stage change in CRM
  • New incoming message
  • Chat category change

Actions

  • Moves chat to appropriate category
  • Updates lead card in GiperCRM
  • Adds trigger event notes
  • Sends notification to responsible manager
Technologies:
n8n workflow, Supabase triggers, Webhooks API
Business Effect:
Managers spend 70% less time on manual status updates
2

Smart Notification Agent

Communication

Sends contextual notifications focusing on recipient workload.

Triggers

  • New task assignment
  • Approaching deadline
  • Priority change
  • Mention in topic

Actions

  • Analyzes schedule and current load
  • Determines optimal notification time
  • Sends contextual message in Zulip
  • Drops event in calendar for important deadlines
  • Escalates to manager on overdue
Technologies:
LLM for context analysis, Calendar API, Zulip bot
Business Effect:
95% tasks done on time, 85% reduction in missed deadlines
3

Important Data Capture Agent

Analytical

Extracts structured data from unstructured text like meetings and chats.

Triggers

  • New Chatwoot message
  • Comment in GiperTASK
  • Zulip stream message
  • Meeting recording

Actions

  • Uses NER to find dates, money, contacts
  • Applies LLM to extract intentions and plans
  • Validates extracted data
  • Creates structured records in CRM
  • Spawns tasks with deadlines in GiperTASK
Technologies:
Llama 3 with fine-tuning, spaCy NER, Regex patterns
Business Effect:
Zero lost deals, automatic capture of 100% vital dates
4

Automatic Project Creation Agent

Trigger

Builds an entire GiperTASK project upon Deal stage change.

Triggers

  • Deal moved to 'Project Started'
  • Contract signed
  • Prepayment received

Actions

  • Analyzes deal card: budget, dates, team, features
  • Spawns GiperTASK project with real deadlines
  • Bootstraps templates (kick-off, scope, dev, QA, delivery)
  • Spawns a Zulip channel to discuss
  • Invites team to channel
  • Sets up Nextcloud folder for docs
  • Broadcasts a welcome message with all platform links
Technologies:
n8n complex workflow, GiperTASK API, Zulip API, Nextcloud WebDAV
Business Effect:
Saves 30 minutes per new project, standardizing routine
5

Meeting Transcription Agent (Giper Secretary)

Intelligent

Transforms audio meetings into actionable steps.

Triggers

  • Video conference ends
  • Audio uploaded
  • Transcribe intent

Actions

  • Speaker Diarization recognizes talkers
  • Whisper model transcribes
  • LLM analyzes tasks, decisions, deadlines
  • Formulates action plan
  • Sends plan to executive on Zulip
  • Automatically performs actions once approved (creates tasks, docs, CRM updates)
Technologies:
Whisper API, Llama 3 for analysis, Pyannote for diarization
Business Effect:
1h meeting becomes concrete actions in 2 minutes
6

Document Generation Agent

Intelligent

Creates quotes, contracts, and invoices.

Triggers

  • Doc generation intent
  • Deal moved to 'Contract'
  • Action plan from Secretary

Actions

  • Loads templates from library
  • Injects data from GiperCRM
  • Applies special discount conditions
  • Generates properly formatted PDF
  • Saves into Nextcloud Storage
  • Attaches to project in CRM
  • Sens notifications to managers
Technologies:
Giper Manager integration, Jinja2 templates, WeasyPrint for PDF
Business Effect:
Create complex business docs in 10s vs 30 mins manually
7

Deadline Control Agent

Trigger

Tracks approaching target dates intelligently.

Triggers

  • 3 days to deadline
  • 1 day to deadline
  • 0 days (today)
  • Overdue

Actions

  • Sends 3-day notice to assignee
  • Re-notifies 1 day before with High priority
  • Notifies with CRITICAL today
  • Escalates to manager if overdue
  • Suggests deadline change requests
  • Collects analytics for KPI graphs
Technologies:
Cron jobs in n8n, GiperTASK API, Zulip notifications
Business Effect:
78% reduction in missed deadlines, high visibility
8

Team Efficiency Analysis Agent

Analytical

Aggregates metrics and generates visual intelligence reports.

Triggers

  • Weekly, Monday 9AM
  • On demand
  • On project closure

Actions

  • Collects time metrics from GiperTASK
  • Analyzes GiperCRM funnel metrics
  • Evaluates Chatwoot resolutions
  • Scores performance per employee
  • Generates automated Grafana Dashboards
  • Compiles PDF summary with insights
  • Distributes securely to executives
Technologies:
Supabase SQL queries, Pandas for analysis, Grafana API, Giper Analytics
Business Effect:
True data-driven decision making, exposing massive bottlenecks
9

Chatwoot Auto-Responder

Communication

Solves 80% of customer routine inquiries directly via Chatwoot.

Triggers

  • New chat
  • Client asks direct question

Actions

  • Classifies intent (Pricing, Status, Bug, Features)
  • Searches local vector knowledgebase (RAG)
  • Generates highly tailored LLM response
  • Sends immediately if Confidence > 90%
  • Passes to human contextually if Confidence < 90%
  • Learns from managers' corrections for the future
Technologies:
ChromaDB vector store, Llama 3 with RAG, Confidence scoring
Business Effect:
Agents freed from 80% of routine messages, Response time < 30s
10

Client Data Enrichment Agent

Analytical

Researches your clients and auto-populates CRM with deep metrics.

Triggers

  • New lead generated
  • Company detected in chat
  • Enrichment tag

Actions

  • Extracts company name from inputs
  • Cross-references public corporate databases
  • Web scrapes company websites for data via LLM
  • Determines Revenue, Employee count, Contact keys
  • Finds true decision makers (Target Leads)
  • Re-updates CRM securely behind the scenes
  • Adds tags by industry and company size
Technologies:
Web scraping (Playwright), API integrations, LLM for data extraction
Business Effect:
Full intelligence profile of target company delivered in 60 seconds

Comparison with Competitors

Zapier, Make.com, n8n vs Giper Ecosystem

Zapier

Advantages:
  • +Simple interface
  • +Many integrations
  • +Fast start
Disadvantages:
  • Expensive ($20-$600/mo)
  • Action limitations
  • No AI agents
  • Data locked in cloud
  • No custom logic
Cost:
$20/mo to $600/mo

Make.com (Integromat)

Advantages:
  • +Visual workflow builder
  • +Flexible logic
  • +More affordable
Disadvantages:
  • High learning curve
  • Cloud-hosted data
  • Limited complex capacity
  • No built in AI
Cost:
$9/mo to $299/mo

n8n standalone

Advantages:
  • +Open-source
  • +Self-hosted
  • +Total control
  • +Free for self-hosting
Disadvantages:
  • Requires pure coding
  • DevOps required
  • No ready-made agents
  • No support
Cost:
Free (self-hosted) or cloud base

Giper Ecosystem

Advantages:
  • +Pre-configured AI
  • +Ready integrations out of box
  • +Local private LLMs
  • +Fully customizable
  • +24/7 Support
  • +Training included
Disadvantages:
  • High Entry Enterprise Cost
  • Takes 3-6mo to roll out
  • Best for 50+ staff
Cost:
From $50k setup + $1.5k/mo

Real Implementation Cases

5 companies already using Giper agents

Consulting

25 staff

Industry
Problem:

15 hours of meetings weekly, 40% tasks lost

Solution:

Giper Secretary + Sync Agents + Project Builders

Results:
Meetings cut to 8h/week (-47%)
95% tasks safely tracked
Oversight up 2.5x
ROI 2.5 months

E-commerce

80 staff

Industry
Problem:

Manual processing, struggling support team

Solution:

Responder AI + Order Syncer + Notification Agent

Results:
95% orders automated
Support staff scaled down significantly
NPS up to 78
NPS increased from 45 to 78

Manufacturing

400 staff

Industry
Problem:

Deadlines bleeding constantly

Solution:

Deadline Controller + Efficiency Analytics

Results:
Delays down 78%
High metric visibility
Overall margin up 18%
Profit +18% due to optimization

IT Software

120 staff

Industry
Problem:

Communications chaotic, reporting manual

Solution:

AutoResponder + Doc Generator + CRM Sync

Results:
Auto status reports
12 hours saved weekly per manager
Churn dropped drastically
Churn rate decreased from 15% to 6%

Education

60 staff

Industry
Problem:

Manual groups and notification delays

Solution:

Smart Notifications + Data Capture

Results:
100% notification precision
Teachers freed of admin rut
Retention +23%
Student retention +23%

Frequently Asked Questions

Answers to 10 popular questions about AI agents

Q1:Can we build our own custom AI agents?

Yes! The core Giper ecosystem utilizes n8n drag-and-drop visuals. We supply base templates that you can fork, or we build custom implementations using JS/Python logic directly.

Q2:How do agents protect our data sovereignty?

All components run on bare-metal or private VPS infrastructure. Utilizing Llama 3 local LLMs. No sensitive information queries ping ChatGPT or OpenAI. Full end-to-end data lockdown.

Q3:What is the recurring cost for the agents?

Agents are baked organically into the core GiperONE monthly upkeep (which covers infrastructure hosting, updates, DevOps support, and model inference).

Q4:Can I disable agents for specific groups?

Absolutely. You can branch internal access constraints or define specific operating boundaries inside n8n or GiperTEAM (e.g. Sales bot only acts during active business hours).

Q5:How does the system dynamically learn?

Via RAG Vector injection, plus continuous RLHF feedback loops where humans thumbs-up or thumbs-down outcomes. We also frequently re-index core company knowledge into the Chroma store.

Q6:What happens if an AI agent makes a severe mistake?

Logs are rigidly tracked in Loki. Workflows are designed to sandbox execution paths requiring human approvals for critical mutations (like wire transfers or contract execution).

Q7:Can this link to my legacy software?

n8n boasts 400+ turnkey hooks, but we develop raw API REST or GraphQL wrappers for legacy mainframes or internal ERPs such as SAP / 1C upon consultation.

Q8:Do I need developers permanently?

No. The system is delivered turnkey. You will manipulate workflows visually for day-to-day tuning. For architectural additions, our monthly retainer provides unlimited minor revisions.

Q9:What is the implementation timeline?

A simple base layer takes roughly 2 to 4 weeks. Deep contextual fine-tuned integrations take closer to 3 to 6 months. A phased rollout allows for zero disruption of present company velocity.

Q10:Is there a sandbox or trial?

For qualified enterprise accounts, we provide a 2-week deep process audit with limited sandbox staging of prototypes so your team can tangibly measure efficiency before capital commitments.