Most AI tools mimic employees. Agentrika automates complete business cycles—from incoming signal to verified outcome—with closed-loop KPIs you can take to the board.
Signal → Verification
Not “I sent 1,000 emails”
“28 leads converted at $42/lead”
Closed-loop cycles. Measurable outcomes.
Every stakeholder gets the answers they need.
Apache Camel foundation with 400+ connectors. GitOps-native, Kubernetes-ready, YAML-versioned flows. Bring any LLM—local, private, or cloud—and swap without rewriting logic.
2–4 week pilots with measurable KPIs. Low-code builder means your team ships flows without waiting on engineering. Track CSAT, AHT, and cost-per-resolution in real time.
On-prem and air-gapped deployments. PII masking, RBAC, policy-as-code, and full audit trails. Data never leaves your perimeter unless you choose otherwise.
Each pattern is a closed-loop machine—from incoming signal to verified outcome—with KPIs tied to revenue, cost, or time.
Every inbound request—form, messenger, email—is qualified, engaged in a goal-oriented dialogue, and driven to a target action. Silent leads get follow-ups; cold leads get nurturing series.
KPI: conversion rate, revenue attributed, cost per lead
Learn moreTickets are classified, matched against the knowledge base, and resolved automatically when confidence is high. Low confidence routes to the right specialist with a draft response ready.
KPI: AHT, first-contact resolution, CSAT, deflection rate
Monitor capacity in real time—rooms, slots, equipment. When occupancy drops, generate personalized offers for the right customers and auto-book on response. Cancellations trigger instant wait-list backfill.
KPI: utilization %, revenue per slot, backfill rate
Incoming documents—invoices, contracts, scans—are extracted, classified, and cross-checked against your systems. Matches are filed automatically; mismatches route to a human for review.
KPI: auto-processing rate, processing time, error rate
New employees, customers, or users get a personalized onboarding plan. Scheduled learning series, Q&A assistant with knowledge base access, progress tracking, and escalation when someone stalls.
KPI: time-to-productivity, completion rate, satisfaction score
Detect reorder needs automatically, select suppliers, send RFQs, collect and compare quotes, and present a ranked recommendation with rationale—all without manual data entry.
KPI: cost savings %, cycle time, on-time delivery rate
Every Agentrika cycle is a closed loop: capture a signal, decide what to do, act across systems, and verify the outcome against your KPIs. No open-ended chatbots—every cycle ends with a measurable result.
Capture events from any channel: messages, API calls, form submissions, system alerts, sensor data.
AI parses intent, extracts entities, classifies urgency, and enriches with context from connected systems.
Platform selects or generates the best response: retrieves knowledge, applies business rules, builds a plan of action.
Executes across systems: sends responses, updates records, triggers workflows, escalates to humans when needed.
Validates outcomes against KPIs, logs decisions for audit, feeds results back to improve future performance.
Everything you need to build, run, and measure business cycle machines.
Telegram, WhatsApp, email, web forms, webhooks—unified into a single signal stream. Every cycle starts with a captured event, not a prompt.
Built-in document extraction, vector embedding, and retrieval. Ground every AI response in your actual knowledge base—product docs, FAQs, resolved tickets.
Extract structured data from PDFs, scans, and attachments. Classify, cross-check against your systems, and route for action—automatically.
Local open-source models, private endpoints (Azure, Bedrock), or cloud APIs (OpenAI, Anthropic, Google). Swap without rewriting flows.
Design complete cycles on top of Apache Camel with versioned YAML, GitOps delivery, and 400+ connectors to every system you use.
Confidence scoring, hallucination checks, PII masking, RBAC, and full audit trails. Every decision logged, every action traceable.
Built on Apache Camel — the open-source integration framework running in production at thousands of enterprises worldwide.
Battle-tested connectors, enterprise-grade reliability, vibrant open-source community.
Ship AI with the controls your security and legal teams expect.
Kubernetes, Helm, and GitOps. Air-gapped compatible.
Bring your own VPC and KMS; keep data within your region.
Mix local models with selective cloud capabilities.
Fastest start with enterprise-grade isolation.
Choose the engagement model that matches your governance, speed, and customization needs.
Turnkey delivery: we design, build, and deploy the full Signal → Verification pipeline for your use case.
Describe what you want to automate in chat. AI builds, validates, and deploys it — on your infrastructure, with your LLM.
For process automation teams that deploy AI solutions into 3d party companies. Build on Agentrika, deliver under your brand.
Tell us about your use case and we’ll show you what Agentrika can do.
Straight answers to common enterprise questions.
Yes. Agentrika supports fully on-prem deployments with local models, private networking, and your own KMS. No data ever leaves your perimeter.
Most teams launch a pilot within 2–4 weeks using existing systems and connectors. We scope to one use case and one channel, then expand.
Role-based access, approval checkpoints, and audit logs ensure safe adoption across departments. Policy-as-code guardrails enforce rules at every step.
Most tools build AI employees—chatbots that mimic job titles and report vanity metrics like “1,000 emails sent.” Agentrika automates complete business cycles that report outcomes: leads converted, tickets resolved, revenue captured. Platform tools like Copilot or Einstein lock you into one vendor. Frameworks like LangChain leave governance and deployment to you. Agentrika is vendor-neutral, runs anywhere, supports any LLM, and ships production-ready with closed-loop verification, RBAC, and 400+ connectors.
Any model: local open-source models (Llama, Mistral), private endpoints (Azure OpenAI, AWS Bedrock), or cloud APIs (OpenAI, Anthropic, Google). Switch models without rewriting flows.
Solution plans are scoped per use case. ADK partners get access to platform internals with revenue-sharing terms. Marketplace is usage-based. Contact us for a tailored quote.
