Customer Support Automation
Deflect tickets, resolve faster with retrieval-augmented responses, and escalate to humans with full context.
- 25–40% AHT reduction
- Multi-channel: web, Telegram, email
- Secure redaction & guardrails
Automate operations, accelerate customer service, and make better decisions with Agentrika — our platform built for scale, security, and measurable ROI.
Business impact: reduce handle time, unlock new revenue, and de-risk AI adoption with governance built-in.
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.
Deploy AI agents where they move the needle first—then expand with our low-code builder.
Deflect tickets, resolve faster with retrieval-augmented responses, and escalate to humans with full context.
Automate routine work—data entry, reconciliations, enrichment, and approvals—backed by auditable flows.
Personalize offers, power sales assistants, and optimize pricing with explainable decisioning.
Triage incidents, answer runbook queries, and self-heal via safe, reviewed actions.
From concierge agents to revenue ops for rentals and hotels—manage at luxury standards.
Automate KYC, payment ops, and dispute handling with full audit and policy controls.
A proven path that de-risks AI adoption and delivers measurable results fast.
Map your highest-value use case, identify data sources and channels, define success KPIs.
Week 1
Low-code flow construction, connector setup, model selection, guardrail configuration.
Week 2
Controlled rollout with human-in-the-loop review, guardrail tuning, and quality checks.
Week 3
Production deployment, dashboard setup, first KPI review. Expand from there.
Week 4
Build, govern, and scale AI agents with confidence.
Design end-to-end processes on top of Apache Camel with versioned YAML and GitOps delivery.
Use local models, private endpoints, or best-in-class clouds—swap without rewriting flows.
Databases, message queues, ERPs, CRMs, OTAs, clouds, and custom APIs.
SSE/WebSocket streaming with backpressure and human-in-the-loop approvals.
Metrics, traces, and red-team tools to evaluate quality, safety, and ROI.
RBAC, policy-as-code, secrets management, and environment isolation.
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.
On-prem by default with priority support. You own the environment and policies—do what you want, securely.
Customized scenarios delivered to your spec—deploy on-prem or in the cloud.
SaaS with pre-built scenarios. Pick, configure, and launch fast—no infra required.
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.
Platform tools like Copilot Studio or Einstein lock you into one vendor ecosystem. Frameworks like LangChain require you to build governance, deployment, and observability from scratch. Agentrika is vendor-neutral, runs on any infrastructure, supports any LLM, and ships production-ready with RBAC, audit trails, and 400+ connectors from the Apache Camel ecosystem.
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.
Pricing depends on deployment model, volume, and support tier. Our Marketplace plans are usage-based; Enterprise and Solution plans are custom. Contact us for a tailored quote.