AI Solutions
Production AI, LLMs, agents, RAG, and automation that ship beyond the demo.
We integrate OpenAI, Claude, Gemini, and open-source models into products users rely on daily, chatbots, document automation, recommendation engines, and multi-step agents with evaluation loops and cost controls. No slide-deck AI; only systems instrumented, versioned, and ready for real traffic.
Built for teams that need results
Product teams adding AI features to existing platforms
Enterprises automating document-heavy workflows
Startups building AI-native SaaS products
Ops leaders replacing manual triage with intelligent agents
Problems we solve with AI Solutions
Demo-to-production gap
Prototype prompts break on edge cases, hallucinate, and cost unpredictably at scale.
Data privacy concerns
Sensitive documents and customer data require careful routing, retention, and access policies.
Model vendor lock-in
Hard-coding one provider makes upgrades expensive and risky when better models ship quarterly.
Solutions that ship
RAG and tool-use architecture
Retrieval pipelines, function calling, and policy layers keep answers grounded and auditable.
Evaluation harnesses
Golden datasets and regression tests block merges when accuracy, latency, or cost slip.
Model abstraction
Swap GPT, Claude, or open-source backends without rewriting business logic.
Capabilities
- AI Chatbots
- LLM Integration
- OpenAI Integration
- Claude Integration
- Gemini Integration
- AI Agents
- Business Automation
- AI Workflows
- RAG Systems
- Prompt Engineering
What you get
- 1Production AI feature or standalone application
- 2Vector store and ingestion pipeline documentation
- 3Eval suite with baseline accuracy metrics
- 4Cost and latency monitoring dashboard
- 5Security review and data handling policy
Where AI Solutions fits best
Support automation
Agents resolve tickets with CRM and order lookup, human handoff when confidence is low.
Document intelligence
Extract, classify, and summarize contracts, invoices, and medical records at scale.
Product copilots
In-app assistants that draft content, analyze data, and guide users through complex workflows.
How we deliver AI Solutions
Scope
Use case selection, data audit, and success metrics definition.
Prototype
Rapid POC with real data and stakeholder validation.
Productionize
Evals, guardrails, observability, and gradual rollout.
Optimize
Prompt tuning, caching, and model routing for cost efficiency.
Tools we use for AI Solutions
A modern toolkit chosen for this service, not a generic stack list.
What success looks like
FAQs
Which LLM provider do you recommend?
Claude for reasoning-heavy tasks, GPT-4o for multimodal, open-source for cost-sensitive batch jobs.
Can AI run on our private data?
Yes, via RAG with access controls; fine-tuning when volume and stability justify it.
How do you prevent hallucinations?
Grounding, citation requirements, confidence thresholds, and human-in-the-loop for high-stakes outputs.
Ready to start AI Solutions?
Book a free discovery call. We'll come back with a scoped plan within one business day.