Custom AI Solutions#
When Off-the-Shelf Is Not Enough#
Sometimes the right tool does not exist. Or it exists but does not integrate with your systems. Or it does 80% of what you need but the missing 20% is critical. That is when we build custom.
What We Build#
Webhook Integrations#
Connect systems that were never designed to talk to each other.
Example: SalesRobot → Apollo.io → GoHighLevel
- Webhook server receiving real-time lead data
- Automated enrichment through Apollo.io API
- CRM contact creation with validated data
- Async updates when enrichment completes later
- Production deployment with monitoring and logging
We have built integrations handling thousands of contacts daily with zero manual intervention.
Automated Workflows#
Business processes that run without human babysitting.
Example: Weekly LinkedIn Posting System
- Automated email reminders for content submission
- Web forms for easy content entry with validation
- Image upload and processing
- Scheduled posting via LinkedIn API
- Database tracking for all activity
- SendGrid/SMTP email integration
Set it up once, run it forever.
Data Processing Pipelines#
Transform raw data into actionable intelligence.
- Contact enrichment at scale using Apollo.io, Clearbit, or custom sources
- Data validation and cleaning before CRM import
- Deduplication across multiple data sources
- Format transformation between incompatible systems
Custom API Development#
When you need your own endpoints:
- RESTful APIs for internal tools
- Webhook receivers for third-party integrations
- Authentication and rate limiting
- Documentation and SDK generation
MCP Tool Development#
Extend AI assistants with custom capabilities:
- Jira integration for project management
- Custom business logic accessible to Claude/ChatGPT
- Database queries and updates through natural language
- Integration with internal systems
How We Build#
Technology Stack#
We build with production-ready tools:
| Layer | Technology |
|---|---|
| Backend | Python, FastAPI, Flask |
| Database | PostgreSQL, SQLite, Redis |
| Queues | Celery, Redis, RabbitMQ |
| Deployment | systemd, Docker, Kubernetes |
| Monitoring | Structured logging, health checks, alerting |
| Version Control | Git, GitHub |
Development Process#
Week 1: Specification
- Detailed requirements gathering
- Technical architecture design
- API contract definition
- Acceptance criteria documentation
Weeks 2-3: Development
- Core functionality implementation
- Integration development
- Testing and validation
- Documentation
Week 4: Deployment
- Production deployment
- Monitoring setup
- Runbook documentation
- Team training
Ongoing: Support
- Bug fixes and updates
- Performance optimization
- Feature additions as needed
Production-Ready Standards#
Every custom solution we build includes:
Reliability
- Error handling and graceful degradation
- Automatic retry logic for transient failures
- Health check endpoints
- Restart policies for crashes
Observability
- Structured logging with context
- Performance metrics
- Alerting for critical issues
- Audit trails for compliance
Security
- API key management
- Input validation
- Rate limiting
- Secrets management
Documentation
- README with setup instructions
- API documentation
- Runbooks for operations
- Architecture diagrams
Example Projects#
Contact Enrichment Pipeline#
Problem: 9,000+ CRM contacts with missing emails and phone numbers
Solution: - Bulk enrichment utility using Apollo.io API - Rate limiting to respect API quotas - Progress tracking with ETA - Smart updates preserving existing data - Automatic tagging for enrichment status
Result: Enriched 2,000 contacts in 36 minutes with full audit trail
Automated LinkedIn System#
Problem: Weekly LinkedIn posting was manual and inconsistent
Solution: - Email workflow prompting for weekly content - Web form for submission with image upload - Automatic posting on schedule - Database tracking all activity
Result: Zero-touch weekly posting with complete visibility
Webhook Integration Server#
Problem: SalesRobot leads were not reaching the CRM
Solution: - FastAPI webhook receiver - Apollo.io enrichment integration - GoHighLevel API integration - Async phone number updates - Production systemd deployment
Result: Every lead automatically enriched and in CRM within seconds
Is This Right for You?#
Custom AI solutions make the most sense when: - Off-the-shelf tools don't fit your specific workflow requirements - You need integration between multiple business systems - Your processes are unique to your industry or business model - You want AI that works exactly how you work, not the other way around
Does this resonate with you? We'd be happy to explore whether a custom approach aligns with your specific automation needs.
Not ready for custom development? Start with AI Governance to establish the foundation for safe AI adoption.