AI Customer Support Agent
An AI customer support agent is an autonomous software system that handles customer inquiries across chat, email, voice and messaging channels using natural language understanding, retrieval-augmented generation (RAG) and CRM integration.
Pharos Production builds custom AI customer support agents that go beyond scripted chatbots. Our agents use retrieval-augmented generation (RAG) to access your knowledge base in real time, deliver accurate answers grounded in your documentation and escalate complex cases to human teams with full conversation context. We integrate AI support agents across every channel - web chat, email, voice, WhatsApp, Slack and in-app messaging. Each agent connects to your CRM, ticketing system and internal tools so customers get personalized responses based on their account history, subscription tier and previous interactions. Our clients typically see 45-70% ticket deflection within the first quarter, sub-second response times and measurable improvement in customer satisfaction scores. Every agent includes guardrails, confidence scoring and human-in-the-loop controls for sensitive topics.
- 90+ engineers
- 13+ years in business
- 110+ apps delivered
Aligned with these frameworks. Audit reports and certifications available on request.
What is an AI customer support agent?
Reviewed by Dmytro Nasyrov
Founder and CTO
23+ years in software development. PhD in AI. Led 110+ projects including conversational AI agents, RAG systems and omnichannel support platforms, ISO 27001-aligned.
Reviews
Independent reviews from Clutch, GoodFirms and Google - verified client feedback on our software projects
Based on 323 verified client reviews
Pharos Production has been instrumental in our digital transformation, delivering a secure, interoperable healthcare platform that aligns with our long-term vision. Their exceptional ability to harmonize regulatory compliance, system scalability and user experience has made our collaboration not only efficient but also a fantastic strategic partnership. We're truly grateful!
Measurable results
AI Customer Support Agent Benchmark 2026
Proprietary research based on AI support agent projects delivered by Pharos Production. Dataset covers omnichannel deployments with RAG, CRM integration and human escalation. Full report available on request.
- AI customer support agents deliver 45-70% ticket deflection with sub-second response times across chat, email, voice and messaging channels.
- RAG-powered agents ground every answer in your knowledge base, reducing hallucinations and ensuring responses stay accurate and brand-consistent.
- Omnichannel deployment with CRM integration enables personalized responses based on customer history, subscription tier and previous interactions.
- Human-in-the-loop escalation with full conversation context ensures complex cases reach the right agent without customers repeating themselves.
- Pharos Production builds production-grade AI support agents with guardrails, confidence scoring, multi-language support and analytics dashboards.
- RAG retrieval accuracy depends on knowledge base quality. Outdated, contradictory or poorly structured help articles produce wrong answers regardless of model capability.
- AI agents handle 45-70% of tickets autonomously - the remaining 30-55% still require human agents for edge cases, emotional situations and multi-system investigations.
- Voice channel AI adds 4-6 weeks to project timelines due to ASR tuning, latency optimization and telephony integration complexity beyond text-based channels.
- Initial knowledge base indexing and prompt tuning require 2-3 weeks of collaboration with your support team before the agent reaches production-grade accuracy.
Choose your cooperation model
Pharos Production works in three engagement models, from a focused PoC to a production MVP to a full enterprise platform, with typical budgets from $10,000 to $400,000+ depending on scope and complexity.
Feasibility study, prototype on your data and integration roadmap in four to eight weeks.
Full model development, API layer, cloud deployment and MLOps with monitoring.
Multi-model architecture, custom data infrastructure, compliance and hybrid or on-prem delivery.
Prices vary based on project scope, complexity, timeline and requirements. Hourly rates range from $35 to $75 depending on role and seniority. Contact us for a personalized estimate.
Interaction models for staff augmentation, dedicated teams and outsourcing
Request staff augmentation
Need extra hands on your software project? Our developers can jump in at any stage - from architecture to auditing - and integrate seamlessly with your team to fill any technical gaps.
Hire dedicated experts
Whether you're building from scratch or scaling fast, our engineers are ready to step in. You stay in control, and we handle the code.
Outsource your project
From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.
| Model | Best for | Team setup | Budget range |
|---|---|---|---|
| Staff Augmentation | Existing teams needing extra engineers at any project stage | 1-2 weeks | From $5,000/month |
| Dedicated Team Popular | Long-term projects requiring full ownership and control | 2-4 weeks | From $15,000/month |
| Project Outsourcing | Full-cycle development from idea to production launch | 1-2 weeks | $10,000-$80,000+ |
An approach to the development cycle
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Team Assembly
Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.
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MVP
We'll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.
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Production
We'll create a complete software solution that is custom-made to meet your exact specifications.
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Ongoing
Continuous Support
Our company will be right there with you, keeping your software solution running smoothly, fixing issues and rolling out updates.
Technologies, tools and frameworks we use
Our engineers work with 187+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.
Our engineers work with 187+ technologies across 10 categories: Frameworks, AI, Blockchains, DevOps, Clouds, Databases, Brokers, Tests, Programming, UI/UX.
- Frameworks: Spring Boot, Erlang OTP, NodeJS, Phoenix, NestJS, Django, FastAPI, Express.js, React, Next.JS, Svelte, Angular, Vue.js, Remix, Astro, Nuxt.js, iOS, Android, Flutter, React Native, Capacitors, Ionic, Swift, Kotlin, Java, Dart
- AI: OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral AI, Cohere, Ollama, xAI Grok, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, PyTorch, TensorFlow, scikit-learn, LlamaIndex, Keras, XGBoost, LightGBM, OpenCV, spaCy, ONNX Runtime, Pinecone, Weaviate, Qdrant, Chroma, pgvector, Milvus, FAISS, MLflow, Weights & Biases, DVC, Kubeflow, AWS SageMaker, Azure ML, Google Vertex AI, NVIDIA Triton, Airflow, Ray Serve, vLLM, OpenAI Agents SDK, Claude MCP, Semantic Kernel, Haystack
- Blockchains: Ethereum, TON, Corda, Tron, Hedera, Stellar, Consensys GoQuorum, Solana, Arbitrum, Binance Smart Chain (BSC), Sei, Celo, Hyperledger, MultiversX, IOTA, Polkadot, Aptos, Neo, Flow, Algorand, Avalanche, EOS, Optimism, Polygon, Cosmos, Sui, Tezos, Ontology, Fantom, NEAR Protocol, VeChain, Base, IPFS, Amazon Managed Blockchain, Amazon QLDB, IBM Blockchain, Oracle Blockchain
- DevOps: Kubernetes, Terraform, Docker, Istio, Prometheus, Grafana, Jenkins, ArgoCD, Ansible, GitHub Actions, GitLab CI, Pulumi, Datadog, New Relic, Vault
- Clouds: Amazon Web Services, Azure, Google Cloud, Cloudflare, Vercel, DigitalOcean
- Databases: PostgreSQL, MySQL MariaDB, Redis, Cassandra, Neo4J, MongoDB, Elasticsearch, Solr, Ignite, ClickHouse, TimescaleDB, DynamoDB, Supabase, CockroachDB, ScyllaDB
- Brokers: Kafka, RabbitMQ, Flink, Apache Pulsar, Amazon SQS, Amazon SNS, NATS
- Tests: Postman, Appium, Cucumber, Selenium, JMeter, Cypress
- Programming: Solidity, FunC, Rust, GoLang, Elixir, Erlang, C++, Java, JavaScript, TypeScript, Scala, Python, C#, .NET, PHP, Ruby, Dart, SQL
- UI/UX: Figma, Zeplin, InVision, Sketch, Miro, Marvel, Balsamiq, Photoshop, Illustrator, XD, After Effects, Corel Draw
AI and Machine Learning
LLM Providers 8
AI Frameworks 15
Vector Databases 7
MLOps and Infrastructure 11
AI Agent Tools 4
Blockchains
Private and Public Blockchains 33
Cloud Blockchain Solutions 4
DevOps
DevOps Tools 15
Clouds
Clouds 6
Databases
Databases 15
Brokers
Event and Message Brokers 7
Tests
Test Automation Tools 6
UI/UX
UI/UX Design Tools 12
Partnerships and awards
Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence
Build your AI Customer Support Agent platform
90+ engineers ready to deliver your AI Customer Support Agent project on time and within budget
What happens next?
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Contact us
Contact us today to discuss your project. We're ready to review your request promptly and guide you on the best next steps for collaboration
Same day -
NDA
We're committed to keeping your information confidential, so we'll sign a Non-Disclosure Agreement
1 day -
Plan the Goals
After we chat about your goals and needs, we'll craft a comprehensive proposal detailing the project scope, team, timeline and budget
3-5 days -
Finalize the Details
Let's connect on Google Meet to go through the proposal and confirm all the details together!
1-2 days -
Sign the Contract
As soon as the contract is signed, our dedicated team will jump into action on your project!
Same day
Our offices
Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.
We also work with clients through dedicated local teams in Las Vegas, New York and San Francisco.