Services — Jenva Systems

🤖

Agentic AI Systems

Multi-agent architectures capable of autonomous multi-step reasoning, tool use, and long-horizon task execution. Purpose-built decision engines — not chatbots with extra steps.

Autonomous Execution Multi-step Reasoning Tool-Integrated Production-Ready

Multi-agent orchestration with role-based task delegation
ReAct framework implementation for reasoning + action loops
Custom tool/function integration (APIs, databases, file systems)
Memory persistence and context management across sessions
Autonomous error recovery and fallback strategies

agentic_core.py

# Multi-agent orchestration layer from jenva.agents import ReActAgent, ToolRegistry agent = ReActAgent( role="lead_qualifier", tools=ToolRegistry([ CRMTool(), CalendarTool(), EmailTool() ]), memory=True, fallback_chain=[HandoffAgent, HumanEscalation] ) # Autonomous task execution result = agent.execute( task="Qualify inbound lead from form,\n schedule demo if qualified" )

⚡

Workflow Automation

Production-grade automation infrastructure across n8n, GoHighLevel, Zapier, and custom API layers. CRM syncs, approval routing, billing triggers — architected as resilient microservices.

n8n GoHighLevel Zapier REST APIs Webhook Design

Multi-platform workflow orchestration (n8n, Zapier, Make)
GoHighLevel CRM automation and pipeline management
Bi-directional syncs between CRMs, billing, and project tools
Approval workflows with conditional routing logic
Error monitoring, retry logic, and dead-letter queues

workflow_engine.json

// n8n workflow specification { "trigger": "webhook:form_submission", "nodes": [ { "enrichLead": "waterfall_apis" }, { "score": "ml_qualification" }, { "route": { "high": "salesRep + slack", "med": "nurture_sequence", "low": "archive" } } ], "errorHandler": "dlq_webhook" }

💬

Custom AI Chatbots

High-conversion conversational interfaces for lead generation, support, and product guidance. Deployed with structured handoff logic, CRM injection, and session analytics baked in.

Lead Generation Support Automation CRM Injection Session Analytics

GPT-4 + Claude-powered conversational agents
Multi-channel deployment (web widget, WhatsApp, Slack)
Structured data extraction → CRM field mapping
Conditional handoff rules (human escalation triggers)
Session transcripts, analytics, and conversion tracking

chatbot_config.yaml

# Chatbot deployment specification agent: model: gpt-4-turbo system_prompt: "You are a lead qualification\n agent for {{company_name}}." extraction: - name, email, company - budget_range, timeline handoff: conditions: - budget > 50000 → slack_sales_channel - sentiment < 0.3 → human_support - no_response_3min → follow_up_email integrations: crm: HubSpot analytics: MixPanel

🔍

RAG & Knowledge Pipelines

Secure retrieval-augmented generation systems on custom Python backends. LLMs grounded in your private data — SOPs, contracts, catalogs — with hallucination controls and access-layer security.

Python Backend Vector Search Hallucination Controls Secure Deployment

Custom chunking strategies (recursive, semantic, structured)
Pinecone / Weaviate / Supabase vector storage
Hybrid search (vector + BM25 keyword fallback)
Citation tracking and source attribution
Access control layers (RBAC, tenant isolation)

rag_pipeline.py

# RAG retrieval + generation pipeline from jenva.rag import VectorStore, Chunker # Document ingestion chunker = Chunker(strategy="semantic") vector_store = VectorStore( backend="pinecone", index="company_docs" ) # Query with citation tracking results = vector_store.search( query="What is our refund policy?", top_k=5, hybrid=True ) answer = LLM.generate( context=results, citations=True )

🎙️

AI Voice Agents

Fully autonomous voice receptionists and outbound agents handling calls, qualifying leads, scheduling appointments, and routing escalations — 24/7, at scale.

Retell AI Twilio Cal.com Inbound + Outbound

Retell AI + custom Twilio voice infrastructure
Call routing, IVR menus, and voicemail transcription
Real-time calendar availability checks + booking
Sentiment analysis and escalation triggers
Call recording, transcripts, and analytics dashboards

voice_agent.config

# Voice agent deployment agent: provider: retell_ai voice: "en-US-Neural2-A" routing: hours: 24/7 fallback: voicemail_transcription actions: - qualify_caller - check_calendar(Cal.com) - book_if_qualified - send_confirmation(SMS + Email) escalation: triggers: - angry_sentiment - 3x_failed_qualification route: sales_team_slack

📊

CRM & Sales Automation

End-to-end sales pipeline automation: lead capture, enrichment waterfalls, automated outreach sequences, deal stage routing, and activity logging — synced in real time.

HubSpot GoHighLevel Lead Enrichment Sequence Automation

HubSpot / GoHighLevel full-stack automation
Lead enrichment waterfalls (TryKitt, LeadMagic, IcyPeas)
Automated outreach sequences (email + LinkedIn + calls)
Deal stage progression based on activity/engagement
Pipeline health dashboards and forecasting

crm_pipeline.yaml

# CRM automation specification lead_capture: sources: [website, ads, referrals] enrichment: - TryKitt (primary) - LeadMagic (fallback) - Manual (final) sequences: cold_outbound: day_0: email_intro day_3: linkedin_connect day_7: follow_up_email day_10: voice_call deal_routing: $0-10k: SDR_team $10k-50k: AE_team $50k+: VP_sales

📣

Marketing Automation

Intelligent campaign engines that segment, personalize, and deploy across email, SMS, and social — triggered by real behavior, not manual schedules.

Email + SMS Behavioral Triggers A/B at Scale Multi-channel

Behavioral trigger campaigns (cart abandonment, browse activity)
Dynamic segmentation based on engagement + firmographics
AI-powered subject line + copy generation and optimization
Multi-channel orchestration (email, SMS, push, social)
Attribution tracking and campaign ROI dashboards

campaign_engine.js

// Behavioral campaign automation const campaign = { trigger: "cart_abandoned", wait: "2 hours", // Multi-variant testing variants: [ { subject: AIGenerate("discount"), A }, { subject: AIGenerate("urgency"), B } ], // Multi-channel sequence channels: [ { 0h: "email" }, { 12h: "sms" }, { 24h: "push_notification" } ] };

📈

Data Intelligence

Unified data pipelines that pull from every tool in your stack, clean and normalize in real time, and surface operational insights through custom dashboards.

ETL Pipelines Custom Dashboards Real-time Sync Supabase

Real-time ETL from CRMs, analytics, billing, support tools
Data normalization and deduplication at ingestion
Custom Retool / internal dashboards for ops visibility
Automated reporting and alert triggers
Predictive models (churn risk, LTV forecasting, pipeline health)

data_pipeline.sql

-- Unified data model CREATE TABLE unified_leads AS SELECT hs.email, hs.created_at, enrich.company_size, enrich.revenue, ga.sessions, ga.conversion_events FROM hubspot hs LEFT JOIN enrichment enrich ON hs.email = enrich.email LEFT JOIN google_analytics ga ON hs.user_id = ga.user_id; -- Real-time sync trigger REFRESH MATERIALIZED VIEW CONCURRENTLY;

Eight disciplines.
One unified platform.

Agentic AI Systems

Workflow Automation

Custom AI Chatbots

RAG & Knowledge Pipelines

AI Voice Agents

CRM & Sales Automation

Marketing Automation

Data Intelligence

Ready to eliminate
the bottleneck?

Eight disciplines. One unified platform.

Agentic AI Systems

Workflow Automation

Custom AI Chatbots

RAG & Knowledge Pipelines

AI Voice Agents

CRM & Sales Automation

Marketing Automation

Data Intelligence

Ready to eliminatethe bottleneck?

Eight disciplines.
One unified platform.

Ready to eliminate
the bottleneck?