What these systems have in common: they were built for a specific operation, not for a generic use case. The AI component is one part of a larger system that includes data ingestion, transformation, storage, business logic, and a user interface, and all of those parts need to work together before the AI component can do anything useful.
AI Services
Custom AI Systems Development
Over 100 AI-powered systems delivered. Not pilots. Not demos. Production systems that process real transactions, manage real operations, and handle real business data.
The range is wide: a SaaS platform that tracks food cost and labor cost live across restaurant locations, synchronized with POS systems, procurement, time and attendance, and payroll. Custom CRM and ERP systems with AI layers that reduce manual data entry and surface operational insights. eCommerce management systems that automate routine tasks and flag anomalies for human review. Automated systems for industries under NDA that process hundreds of thousands of records per day.
100+
Production systems delivered
$5K-$80K
Typical project range
Production-ready
Not demos or pilots
Technology
Tools and platforms we work with
We select the right stack for your project. These are the platforms and technologies relevant to this service.
OpenAI
Claude
Python
LangChain
PostgreSQL
AWS
Docker
Node.js
PHP
Redis
REST
GraphQL
What we deliver
Core capabilities
Operational intelligence
Pull data from POS, procurement, HR, and inventory. Produce real-time cost analysis and anomaly detection.
Custom CRM and ERP with AI
Business platforms built to your processes, with AI layers for classification, routing, and insight generation.
Process automation systems
High-volume judgment-based tasks: document processing, data extraction, and approval routing at scale.
Production monitoring
Every system ships with alerting so you know when something breaks before operations does.
How we work
Our process
1
Discovery
Map data sources, integration points, and ROI. Produce a specification before any code is written.
2
Data pipeline
Build ingestion, transformation, and storage. Test with real data before adding AI features.
3
AI and UI
Develop AI capabilities, business logic, and user interface in staged, tested increments.
4
Production deploy
Go live with monitoring, alerting, and a stabilization period before handoff.
Need a production AI system, not a demo?
Describe your operation and the problem you need solved. We will tell you if the ROI is realistic.
Deep dive
How this service works in detail
What we build
Operational intelligence systems: platforms that pull data from multiple operational sources (POS, procurement, HR, inventory) and produce real-time insights: cost analysis, performance tracking, anomaly detection, without requiring manual reporting.
Custom CRM and ERP with AI: business management platforms built to your specific processes, with AI layers that handle classification, routing, and insight generation on top of your operational data.
AI-powered process automation: systems that take over high-volume, judgment-based tasks (document processing, classification, data extraction, approval routing) and integrate the results into your existing workflows.
eCommerce management AI: systems that monitor store performance, automate routine management tasks, and surface conversion and inventory insights for eCommerce operators.
How a project works
Discovery (two to four weeks): we review your operation, identify the highest-value AI application, map the data sources and integration points, and produce a specification before any code is written. If we cannot define a clear ROI from this phase, we say so.
Build (six to sixteen weeks): we develop in stages, starting with the core data pipeline and expanding to AI features, user interface, and integrations. Each stage is tested before the next begins.
Production and monitoring: we do not hand off systems without monitoring in place. You need to know when something goes wrong before your operations do.
What we do not build
We do not build AI demos or proof-of-concept systems for internal stakeholders. We scope projects where the intended deployment is production. If you need a prototype to validate a concept, we can scope a limited-scope version, but the scoping session will make clear what that prototype can and cannot tell you.
FAQ
Frequently asked questions
What is the minimum project size?
Custom AI system development starts at $5,000. Most production systems with meaningful AI capability land between $15,000 and $80,000 depending on scope. We will tell you the realistic range in the first scoping conversation.
Do you work under NDA?
Yes. Most of our AI systems work is under NDA. We can discuss project types and approaches without disclosing client specifics.
Can you build on top of our existing systems rather than replacing them?
Usually yes, and usually preferable. Replacing working systems is expensive and risky. Adding an AI layer to an existing system that has good data is typically faster and cheaper than rebuilding.
What AI models or providers do you use?
We select models based on the task requirements and data constraints of each project. We do not have a single preferred provider. The right choice depends on latency requirements, output format, context window needs, and whether data can leave your infrastructure.
How do you handle a project that grows beyond the original scope?
Scope changes are handled through explicit change orders. We do not absorb scope creep silently. It results in corners being cut. If you add requirements, we discuss the impact on timeline and budget before proceeding.
Ready to scope your project?
Tell us about your systems, workflows, or site. We will respond with a realistic plan and timeline.
Request a consultation