AI Sales Agent Development
An AI sales agent is an autonomous system that automates lead qualification, outbound prospecting, follow-up sequences and meeting scheduling using natural language generation, CRM integration and intent signal analysis.
Pharos Production develops custom AI sales agents that automate lead qualification, outbound prospecting and pipeline management. Our agents analyze prospect signals from CRM data, email engagement, website behavior and intent data to prioritize leads and generate personalized outreach at scale. We build AI sales agents that integrate with Salesforce, HubSpot, Outreach and custom CRM platforms. Each agent handles multi-step sequences - initial outreach, follow-ups, objection handling and meeting scheduling - while adapting messaging based on prospect responses and engagement patterns. Our clients typically see 3-5x increase in pipeline generation, 60% reduction in manual prospecting time and higher conversion rates from automated sequences that maintain a human tone. Every agent includes compliance guardrails, opt-out handling and CRM activity logging.
- 90+ engineers
- 13+ years in business
- 110+ apps delivered
Aligned with these frameworks. Audit reports available on request.
What is an AI sales agent?
Practice led by Dmytro Nasyrov
Founder and CTO
23+ years in software development. PhD in AI. Led AI agent projects for sales automation, CRM integration and lead qualification platforms, ISO 27001-aligned.
Technically reviewed by Victor Sineglazov, D.Sc.
Independent AI Scientific Advisor
Professor, Artificial Intelligence Department, Igor Sikorsky Kyiv Polytechnic Institute. Head of the Aviation Computer-Integrated Complexes Department, Kyiv Aviation Institute.
Reviewed for technical accuracy on August 15, 2026. Not an endorsement of any commercial claim on this page.
Reviews
Independent reviews from Clutch, GoodFirms and direct client testimonials - verified feedback on our software projects
Based on 342 verified reviews
Measurable results
AI Sales Agent Benchmark 2026
Proprietary research based on AI sales agent projects delivered by Pharos Production. Dataset covers outbound automation, lead qualification and CRM integration deployments. Full report available on request.
- AI sales agents increase pipeline generation 3-5x by automating lead qualification, personalized outreach and multi-step follow-up sequences.
- CRM integration (Salesforce, HubSpot, Outreach) enables agents to access prospect data, log activities and update deal stages automatically.
- Intent signal analysis from email engagement, website behavior and third-party data helps agents prioritize leads by conversion probability.
- Compliance guardrails handle opt-out requests, email regulations (CAN-SPAM, GDPR) and brand voice consistency across all communications.
- Pharos Production builds custom AI sales agents with objection handling, meeting scheduling, A/B testing and real-time performance dashboards.
- AI-generated outreach quality depends entirely on CRM data completeness. Duplicate contacts, outdated job titles and missing firmographic data degrade personalization and response rates.
- Email deliverability constraints limit AI outbound volume. Sending more than 50-100 emails per day per domain without proper warmup triggers spam filters and damages sender reputation.
- AI sales agents cannot replace relationship-based selling for enterprise deals above $100K ACV. They excel at top-of-funnel qualification but complex negotiations still require human judgment.
- CAN-SPAM, GDPR and CCPA compliance requires ongoing opt-out management and consent tracking. Non-compliance penalties can reach $50,120 per email violation (CAN-SPAM) or 4% of global revenue (GDPR).
Choose your project scope
Pharos Production scopes engagements in three tiers, AI discovery and PoC, Production AI system and Enterprise AI platform, with typical budgets from $15,000 to $500,000+ depending on scope and complexity.
AI discovery and PoC
Feasibility study, prototype on your data and integration roadmap in four to eight weeks.
Production AI system
Full model development, API layer, cloud deployment and MLOps with monitoring.
Enterprise AI platform
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 $50 to $99 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
-
Team Assembly
Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.
-
MVP
We'll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.
-
Production
We'll create a complete software solution that is custom-made to meet your exact specifications.
-
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: Backend Frameworks: Spring Boot, Erlang OTP, NodeJS, Phoenix, NestJS, Django, FastAPI, Express.js; Front End Frameworks: React, Next.JS, Svelte, Angular, Vue.js, Remix, Astro, Nuxt.js; Mobile Apps Frameworks: iOS, Android, Flutter, React Native, Capacitors, Ionic, Swift, Kotlin, Java, Dart
- AI: LLM Providers: OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral AI, Cohere, Ollama, xAI Grok; AI Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, PyTorch, TensorFlow, scikit-learn, LlamaIndex, Keras, XGBoost, LightGBM, OpenCV, spaCy, ONNX Runtime; Vector Databases: Pinecone, Weaviate, Qdrant, Chroma, pgvector, Milvus, FAISS; MLOps and Infrastructure: MLflow, Weights & Biases, DVC, Kubeflow, AWS SageMaker, Azure ML, Google Vertex AI, NVIDIA Triton, Airflow, Ray Serve, vLLM; AI Agent Tools: OpenAI Agents SDK, Claude MCP, Semantic Kernel, Haystack
- Blockchains: Private and Public 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; Cloud Blockchain Solutions: Amazon Managed Blockchain, Amazon QLDB, IBM Blockchain, Oracle Blockchain
- DevOps: DevOps Tools: Kubernetes, Terraform, Docker, Istio, Prometheus, Grafana, Jenkins, ArgoCD, Ansible, GitHub Actions, GitLab CI, Pulumi, Datadog, New Relic, Vault
- Clouds: Clouds: Amazon Web Services, Azure, Google Cloud, Cloudflare, Vercel, DigitalOcean
- Databases: Databases: PostgreSQL, MySQL MariaDB, Redis, Cassandra, Neo4J, MongoDB, Elasticsearch, Solr, Ignite, ClickHouse, TimescaleDB, DynamoDB, Supabase, CockroachDB, ScyllaDB
- Brokers: Event and Message Brokers: Kafka, RabbitMQ, Flink, Apache Pulsar, Amazon SQS, Amazon SNS, NATS
- Tests: Test Automation Tools: Postman, Appium, Cucumber, Selenium, JMeter, Cypress
- Programming: Programming Languages: Solidity, FunC, Rust, GoLang, Elixir, Erlang, C++, Java, JavaScript, TypeScript, Scala, Python, C#, .NET, PHP, Ruby, Dart, SQL
- UI/UX: UI/UX Design Tools: 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
65+ industry awards
Build your AI Sales Agent platform
90+ engineers ready to deliver your AI Sales Agent project on time and within budget
What happens next?
-
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.