AI Agent Development Services

We build AI agents that actually work—not demos, but production systems handling real tasks for real businesses. Our team combines deep AI expertise with practical engineering to deliver agents that integrate with your tools, learn from your data, and operate within your guardrails.

Risk-Free Start

Oleg Kalyta

Founder & AI Lead
Oleg Kalyta

Your AI Project Timeline

FREE
Week 1

Free Trial

Test our team, no commitment
1
Month 1

Proof of Concept

Working prototype delivered
2
Month 2-3

Production Ready

Full AI solution deployed
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Our AI Agent Development Services

AI Agent Consulting & Design

24/7 support, multilingual

Custom Agent Development

insights, forecasting, reporting

Integration with Business Tools (CRM, ERP, etc.)

back-office automation, process orchestration

Testing & Performance Optimization

24/7 support, multilingual

Ongoing Support & Maintenance

insights, forecasting, reporting

What Are AI Agents and Why Businesses Need Them

AI agents are autonomous software systems that perceive their environment, make decisions, and take actions to achieve specific goals. Unlike traditional automation, they adapt to new situations and handle tasks that previously required human judgment.

Automate repetitive tasks

Free your team from mind-numbing busywork. Our agents handle data entry, report generation, ticket routing, and document processing around the clock. One retail client cut their order processing time by 73% after deploying an agent to manage inventory updates and supplier communications.

Automate repetitive tasks

Improve decision-making

Stop making calls based on gut feeling alone. AI agents analyze patterns across thousands of data points, surface anomalies, and present actionable recommendations in plain language. Finance teams use our agents to flag unusual transactions before they become problems.

Improve decision-making

Enhance customer experience

Your customers expect instant, personalized responses at 2 AM on a Sunday. AI agents deliver exactly that—handling inquiries, resolving issues, and escalating complex cases to humans when needed. The result? Higher satisfaction scores and fewer burned-out support reps.

Enhance customer experience

Save time & reduce costs

The math is straightforward: tasks that took hours now take minutes. A mid-sized logistics company we worked with reduced their operational overhead by 40% within six months. The agent handles dispatch coordination, route optimization, and carrier communications without breaking a sweat.

Save time & reduce costs

AI Agent Types

Customer Support Agent

Customer Support Agent

24/7 support, multilingual

Sales & Marketing Agent

Sales & Marketing Agent

lead nurturing, outreach, personalization

Data Analysis Agent

Data Analysis Agent

insights, forecasting, reporting

Workflow Automation Agent

Workflow Automation Agent

back-office automation, process orchestration

Industry-Specific Agents

Industry-Specific Agents

FinTech, Healthcare, eCommerce, Logistics, etc.

The Tech Stack

LLM Models

OpenAIOpenAI
GeminiGemini
AnthropicAnthropic

AI Frameworks

LangGraphLangGraph
LangSmithLangSmith
LangChainLangChain

Vector DBs

PineconePinecone
ChromaChroma
WeaviateWeaviate

AI Tools

ElevenLabsElevenLabs
WhisperWhisper
ReplicateReplicate

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Development Process

We analyze your business processes, identify automation opportunities, and define clear goals for your AI agent. This includes mapping workflows, understanding data sources, and establishing success metrics.

Deliverables:
  • Business requirements document
  • Workflow diagrams
  • Technical feasibility assessment

Our team designs the agent architecture, selects the optimal LLM and tools, and plans integrations with your existing systems. We create detailed specifications for agent behavior, guardrails, and fallback scenarios.

Deliverables:
  • System architecture diagram
  • LLM selection rationale
  • Integration specifications

We build the AI agent using frameworks like LangChain or LangGraph, implement tool integrations, and fine-tune prompts for your specific use cases. Iterative testing ensures the agent handles edge cases reliably.

Deliverables:
  • Working AI agent
  • Prompt library
  • Tool integrations

Rigorous testing across diverse scenarios, load testing, and security audits. We validate agent responses for accuracy, safety, and alignment with business rules before deployment.

Deliverables:
  • Test reports
  • Performance benchmarks
  • Security audit results

We deploy your agent to production with comprehensive monitoring, logging, and alerting. This includes setting up dashboards for tracking agent performance and user satisfaction.

Deliverables:
  • Production deployment
  • Monitoring dashboards
  • Operations runbook

Continuous improvement based on real-world usage data. We refine prompts, expand capabilities, and provide ongoing maintenance to ensure your AI agent evolves with your business needs.

Deliverables:
  • Monthly performance reports
  • Prompt optimizations
  • Feature enhancements

Industry Expertise

Fraud detection agents that catch suspicious transactions in milliseconds. Risk assessment systems that evaluate loan applications overnight. Trading assistants that monitor market conditions and execute strategies within defined parameters. Compliance agents that scan documents and flag regulatory issues before they become problems. See how we built Finsu.

Patient triage agents that assess symptoms and prioritize urgent cases. Appointment schedulers that handle rescheduling, reminders, and no-show follow-ups. Clinical decision support systems that surface relevant research during diagnosis. Administrative agents that manage billing inquiries and insurance pre-authorizations. See how we built Healify.

Shopping assistants that understand natural language queries and find products across massive catalogs. Inventory agents that predict stockouts and trigger reorders automatically. Personalization engines that tailor recommendations based on browsing behavior and purchase history. Returns processing agents that handle refund requests without human intervention. See how we built Beauty Advisor.

Route optimization agents that recalculate delivery paths as conditions change. Demand forecasting systems that account for seasonality, promotions, and external factors. Warehouse agents that coordinate picking, packing, and shipping operations. Carrier management agents that negotiate rates and track shipments across providers. See how we built EvLuv.

Contract review agents that identify risky clauses and missing terms in minutes rather than hours. Legal research assistants that scan case law and surface relevant precedents. Due diligence agents that comb through document rooms during M&A transactions. Intake agents that gather client information and assess case viability.

Claims processing agents that assess damage from photos and documentation. Underwriting assistants that evaluate risk factors and suggest appropriate coverage. Policy service agents that handle endorsements, renewals, and cancellations. Fraud investigation agents that detect patterns across claims and flag anomalies for review.

Predictive maintenance agents that analyze sensor data and schedule repairs before equipment fails. Quality control agents that inspect products using computer vision. Production planning agents that optimize scheduling based on orders, capacity, and material availability. Supplier communication agents that manage purchase orders and delivery coordination.

Network monitoring agents that detect outages and initiate troubleshooting procedures. Customer service agents that resolve billing disputes and plan changes without escalation. Technical support agents that diagnose connectivity issues through guided conversations. Churn prediction agents that identify at-risk customers and trigger retention offers.

Property matching agents that understand buyer preferences and surface relevant listings. Lead qualification agents that engage website visitors and schedule showings. Market analysis agents that compile comparable sales and generate pricing recommendations. Transaction coordinators that track deadlines and chase missing documents. See how we built Breeze.

Tutoring agents that adapt to student learning pace and identify knowledge gaps. Enrollment assistants that answer prospective student questions and guide application processes. Administrative agents that handle course registration, grade inquiries, and scheduling conflicts. Content recommendation engines that suggest supplementary materials based on curriculum progress.

AI Agent Success Stories

See all cases
AI Support Agent

AI Support Agent

Case Study

4h → 1mReply time reduced
$0.02Per conversation
24/7Instant responses
Discover case study
OpenAI GPT-4NestJSGmail APIAmplitude
Healify

Healify

Case Study

$2MFunding raised
6 monthsTime to MVP
AI AgentsCore Technology
Discover case study
OpenAI IntegrationHealth Data APIsML PipelineiOS

Engagement Models

Flexible options that match how you work

Discovery Workshop

$3,000 - $5,000

1-2 weeks

Identify the right use cases before committing to development. We analyze your workflows, assess feasibility, and define MVP scope.

  • Process mapping & automation audit
  • Use case prioritization matrix
  • Technical feasibility assessment
  • MVP scope definition
  • ROI projection

Best for: Teams exploring AI agent possibilities

Fixed-Price Project

$15,000 - $75,000

4-12 weeks

Clearly defined agents with known scope. We quote based on complexity and integrations, then deliver on budget.

  • Custom agent development
  • System integrations (CRM, ERP, etc.)
  • Testing & quality assurance
  • Production deployment
  • 30-day post-launch support

Best for: Single-agent implementations with clear requirements

Managed Agent Services

Custom monthly

Ongoing

Continuous operation, optimization, and expansion. We monitor performance, refine prompts, and add capabilities over time.

  • Agent hosting & infrastructure
  • Performance monitoring & alerts
  • Prompt optimization & tuning
  • Feature enhancements
  • Dedicated support channel

Best for: Enterprise deployments requiring ongoing evolution

Typical path: Discovery Workshop → Fixed-Price pilot → Managed Services as you scale.

Why Work With Us

Proven AI expertise for enterprise clients

Proven AI expertise for enterprise clients

Flexible engagement models

Flexible engagement models

Strong experience in multiple industries

Strong experience in multiple industries

Fast time-to-market

Fast time-to-market

End-to-end delivery (consulting - deployment - support)

End-to-end delivery (consulting - deployment - support)

What most impressed me about ProductCrafters was their dedication to my project and understanding of our goals. They were very honest and transparent throughout the entire process.

Mario Alcaraz

Mario Alcaraz

CEO, BeautyAdvisor

4.9★ App Rating, 7x Performance

They were flexible, and it was easy to work with them on a day-to-day basis. Their brilliant ideas were critical to the project success.

Alex Vasilenko

Alex Vasilenko

CEO, Wevention (Yupi)

4.8★ Rating, 40% Budget Savings

Out of over 40 applicants, we selected ProductCrafters based on their experience, technical expertise, and cost estimate. The team showed deep technical expertise, a strong work ethic, and honesty.

Julius Simon

Julius Simon

CPO, Finsu

$550K Raised, 11K+ Monthly Users

The team has honest billing practices and creates incredible value for the cost. Working with ProductCrafters has saved us hundreds of thousands of dollars compared to domestic firms.

Maxwell Murphy

Maxwell Murphy

Founder, ProcessBoard

Significant Cost Savings

The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.

Fernando Rosario

Fernando Rosario

CTO, Raisal

Production-Ready Code

Their insightful advice has maximized the application's performance. We're actually learning things from ProductCrafters that we can adapt and use in other applications.

G

Golda Grossman

Director of Application Development, LTC Consulting Services

Optimized Performance
View All Reviews on Clutch
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Customer stories

Trusted by Industry
Leaders

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FaQ

Launching an AI MVP (Minimum Viable Product) can be surprisingly fast — typically 2 to 6 weeks, depending on the product scope, data readiness, and how "minimum" the first version is. More complex enterprise agents with multiple integrations typically take 8-12 weeks.

A chatbot mainly answers questions based on scripted flows or FAQ matching. An AI agent can reason, perform multi-step tasks, make decisions, access external systems, and take actions on behalf of users. Think of chatbots as responders and agents as doers. See our AI Chatbot Development services for conversational AI focused on customer interactions.

Look for a team with proven AI experience, strong engineering skills, integration expertise, and ongoing support. They should understand both technical requirements and real business workflows. Ask for case studies with measurable outcomes, not just demos.

Usually business documents, historical interactions, internal procedures, and API documentation. The exact data depends on what the agent needs to do. We help you audit existing data and identify gaps before development begins.

Single-agent systems handle one focused task well—like processing support tickets or answering product questions. Multi-agent systems involve multiple specialized agents that communicate and coordinate to handle complex workflows spanning different domains or requiring parallel processing.

We build guardrails and fallback mechanisms into every agent. When confidence is low or the request falls outside defined boundaries, the agent escalates to a human with full context. Audit logs capture every decision for review and training.

We offer flexible support arrangements—from ad-hoc consulting to fully managed agent operations. Most clients start with a 3-month optimization period where we monitor performance, refine prompts, and add capabilities based on real usage patterns.

We align with emerging AI regulations including the EU AI Act, NIST AI Risk Management Framework, and industry-specific requirements like HIPAA for healthcare or SOX for financial reporting. Compliance considerations are built into the design phase, not bolted on afterward.

Launching an AI MVP (Minimum Viable Product) can be surprisingly fast — typically 2 to 6 weeks, depending on the product scope, data readiness, and how "minimum" the first version is. More complex enterprise agents with multiple integrations typically take 8-12 weeks.

A chatbot mainly answers questions based on scripted flows or FAQ matching. An AI agent can reason, perform multi-step tasks, make decisions, access external systems, and take actions on behalf of users. Think of chatbots as responders and agents as doers. See our AI Chatbot Development services for conversational AI focused on customer interactions.

Look for a team with proven AI experience, strong engineering skills, integration expertise, and ongoing support. They should understand both technical requirements and real business workflows. Ask for case studies with measurable outcomes, not just demos.

Yes. They can connect to CRMs, ERPs, databases, and internal tools through APIs or webhooks, allowing them to work smoothly within your existing tech stack. We have experience integrating with Salesforce, HubSpot, SAP, Zendesk, Slack, and dozens of other platforms. For complex integrations with legacy systems, see our AI Integration Services.

We use encrypted data transfer, strict access controls, audit logs, and follow standards like GDPR, HIPAA, and SOC2. Sensitive data is minimized, monitored, and stored securely. We can deploy agents in your own infrastructure if data residency is a concern.

Yes. Well-designed agents can be reused, customized, and deployed across teams once integrations, authentication, and monitoring are in place. Many clients start with one department and expand after seeing results.

Basic agents using low-code platforms start around $5,000-$10,000. Custom-built agents with integrations and specialized logic typically range from $15,000-$50,000. Enterprise multi-agent systems can exceed $100,000 depending on complexity. We provide detailed estimates after a discovery session.

Learning agents use feedback loops—they observe outcomes, adjust strategies, and refine their responses based on real-world performance. We implement monitoring dashboards that track agent accuracy, identify failure patterns, and guide continuous improvement.

Yes. Multimodal agents can process text, images, audio, and video. Use cases include analyzing photos for insurance claims, transcribing and summarizing meetings, or handling voice calls through integration with telephony systems.

We work with OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Google (Gemini), and open-source models like Llama and Mistral. Framework choices include LangChain, LangGraph, and custom orchestration layers depending on requirements. We recommend the best fit based on your use case, budget, and data sensitivity.

Yes. They can connect to CRMs, ERPs, databases, and internal tools through APIs or webhooks, allowing them to work smoothly within your existing tech stack. We have experience integrating with Salesforce, HubSpot, SAP, Zendesk, Slack, and dozens of other platforms. For complex integrations with legacy systems, see our AI Integration Services.

We use encrypted data transfer, strict access controls, audit logs, and follow standards like GDPR, HIPAA, and SOC2. Sensitive data is minimized, monitored, and stored securely. We can deploy agents in your own infrastructure if data residency is a concern.

Yes. Well-designed agents can be reused, customized, and deployed across teams once integrations, authentication, and monitoring are in place. Many clients start with one department and expand after seeing results.

Ready to Build Your AI Agent?

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Ready to automate with AI agents?
Let's build intelligent solutions for your business.

Risk-Free Start

Your AI Project Timeline

FREE
Week 1

Free Trial

Test our team, no commitment
1
Month 1

Proof of Concept

Working prototype delivered
2
Month 2-3

Production Ready

Full AI solution deployed
$6M+Raised by clients
15+5-star reviews
2+ yrsAvg. partnership
Oleg Kalyta

Oleg Kalyta

Founder & AI Lead
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Oleg Kalyta

Oleg Kalyta

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