AI Integration Services
We build custom AI solutions that integrate seamlessly with your existing systems. From intelligent agents to private LLM deployments, we deliver production-ready tools that enhance efficiency and maintain security.
Services
AI Chat & Voice Agents
Deploy conversational AI for customer support, sales, and internal operations. Multi-channel support including web chat, phone, SMS, and Slack integration.
RAG Knowledge Search
Build retrieval-augmented generation systems that query your documents, wikis, and databases. Semantic search powered by vector embeddings and LLMs.
Workflow Automation
Automate repetitive tasks with AI-driven workflows. Document processing, data extraction, email routing, report generation, and more.
Private LLM Hosting
Self-host open-source models like Llama, Mistral, and Phi on your infrastructure. Full data control for regulated industries.
Analytics & Reporting
AI-powered dashboards and automated insights. Predictive analytics, anomaly detection, and natural language queries for your data.
Governance & Safety
Implement guardrails, monitoring, and compliance controls for AI systems. Model evaluation, bias testing, and audit logging.
Code Security Evaluation
Comprehensive security assessments of your codebase. Vulnerability scanning, manual penetration testing, code structure analysis, and security compliance audits.
Data Sources
Our AI integrations connect to your existing data infrastructure:
- Databases: PostgreSQL, MySQL, MongoDB, SQL Server, MariaDB
- Cloud Storage: AWS S3, Google Cloud Storage, Box.com
- APIs: REST, GraphQL, SOAP, etc.
- Documents: PDF, Word, Excel, CSV, JSON, XML, etc.
- Collaboration: Zoom, Slack, Google Workspace
- CRM & ERP: Custom CRMs, Your Own CRM or ERP, Zoho, ZenDesk, Salesforce, HubSpot, SAP, NetSuite, etc.
Implementation Lifecycle
- Assessment: Evaluate your workflows, data, and technical infrastructure to identify AI opportunities.
- Prototype: Build proof-of-concept to validate feasibility and demonstrate value.
- Integrate: Connect AI components to your systems with proper authentication, error handling, and monitoring.
- Evaluate: Test performance, accuracy, and user experience. Iterate based on feedback.
- Deploy: Launch to production with documentation, training, and ongoing support.
Packages
Starter
Assessment & Roadmap
- 2-week engagement
- Process evaluation
- Use case prioritization
- Technical architecture
- Implementation plan
Build
Single Integration
- 4-8 week project
- One AI feature/agent
- System integration
- Testing & validation
- Deployment & handoff
Scale
Multi-Feature Platform
- 3-6 month engagement
- Multiple AI capabilities
- Data pipeline setup
- Monitoring & governance
- Team training
Support
Ongoing Maintenance
- Monthly retainer
- Model updates
- Performance tuning
- Feature enhancements
- Priority support
Real-World ROI Examples
Featured examples from our client portfolio. View 21+ additional case studies →
Medical Clinic
Solution: AI chatbot for appointment scheduling, patient reminders, and FAQ responses available 24/7 via website and SMS.
Investment: $8,000 initial setup + $500/month maintenance
Results: Eliminated 20 hours/week of administrative work ($60k/year salary equivalent), reduced no-shows by 35%, improved patient satisfaction scores by 28%.
Time to Deploy: 3 weeks from kick-off to production
E-commerce Retailer
Solution: AI customer support agent integrated with order management system, inventory database, and knowledge base. Handles order status, returns, product questions.
Investment: $12,000 initial + $650/month operational costs
Results: Automated 68% of customer inquiries, reduced support team from 3 FTE to 1 FTE ($52k savings), increased customer satisfaction 4.2 to 4.7 stars, improved response time from 4 hours to instant.
Time to Deploy: 6 weeks including system integration
Law Firm
Solution: RAG knowledge search system across 15 years of case files, contracts, and legal research. Natural language queries return relevant precedents, clauses, and arguments.
Investment: $18,000 initial implementation + $800/month for hosting and maintenance
Results: Reduced research time by 12 hours/week per attorney (equivalent to $72k/year in billable hours), improved brief quality, enabled junior attorneys to access senior knowledge instantly. Automated contract review saves additional 8 hours/week.
Time to Deploy: 8 weeks including document ingestion and testing
Manufacturing Company
Solution: AI-powered quality control system with computer vision for defect detection, automated inventory tracking, and predictive maintenance alerts integrated with production line sensors.
Investment: $22,000 initial + $1,200/month for cloud processing and maintenance
Results: Reduced defect rate from 4.2% to 0.8%, eliminated 2 FTE quality inspectors ($80k savings), prevented 3 major equipment failures ($45k in avoided downtime), reduced inventory carrying costs by 22%.
Time to Deploy: 10 weeks including equipment setup and training
Real Estate Agency
Solution: AI lead qualification chatbot on website and Facebook, automated follow-up sequences, property matching based on buyer preferences, appointment scheduling integrated with CRM.
Investment: $9,500 initial + $550/month operational costs
Results: Increased qualified leads by 140%, eliminated administrative assistant role ($38k), reduced time-to-first-contact from 4 hours to 2 minutes, improved conversion rate 3.2% to 5.8%. Agents close 4 additional deals per year per agent.
Time to Deploy: 4 weeks including CRM integration
Accounting Firm
Solution: AI document processing for receipts, invoices, and statements with automatic categorization. RAG system for tax code queries and audit preparation. Automated client onboarding and data collection.
Investment: $13,000 initial + $700/month for processing and storage
Results: Reduced bookkeeping time by 65% (equivalent to 1.5 FTE at $45k savings), increased client capacity from 85 to 120 without additional staff, improved accuracy 97% to 99.4%, freed up 15 hours/week for advisory services ($22k additional revenue).
Time to Deploy: 5 weeks including system integration and training
Frequently Asked Questions
How long does a ChatBot integration take?
Timeline varies by complexity. A simple chatbot can be deployed in 1 to 3 days. More complex systems with multiple integrations and custom models take 1-2 months.
Do you work with existing systems?
Yes. We integrate with your current tech stack including CRMs, ERPs, databases, and cloud platforms. No need to replace your existing infrastructure.
What about data privacy?
We prioritize security and compliance. Options include private model hosting, on-premises deployment, and SOC 2/HIPAA compliant architectures.
Do you provide training?
Yes. All projects include documentation and training to a designated individual. AI best practices and prompt engineering.