Services
Execution-focused LLM integration services
Structured delivery across architecture, implementation, and reliability so teams can launch useful AI systems with less risk.
LLM Chatbots and AI Assistants
Design and deploy production-ready chatbots and assistants for support, sales, and internal operations.
- 24/7 customer and team support with controlled response quality
- Reduced manual ticket load through AI triage and self-service
View DetailsLLM Integrations and Workflow Automation
Integrate LLM capabilities into your existing systems and automate repetitive workflows across sales, support, and operations.
- Faster operations through AI-assisted workflow automation
- Reduced manual processing time for high-volume tasks
View DetailsAI Support and Knowledge Systems (RAG)
Build retrieval-augmented AI systems that answer using your docs, SOPs, and product knowledge with traceable sources.
- More accurate AI responses grounded in your internal content
- Faster onboarding and support resolution from searchable knowledge
View DetailsSupport Packages
Fixed-scope packages for fast starts, plus ongoing monthly support once your AI systems are live.
Starter Bot Launch
Fast path to launch your first production chatbot with guardrails and handoff logic.
Ideal For: Teams validating AI support or lead-qualification workflows.
Timeline: 2-4 weeks
- Conversation scope and prompt baseline
- Knowledge grounding or FAQ integration
- Escalation rules to human support
- Basic analytics for adoption and quality
LLM Workflow Automation Sprint
Integrate LLM actions into business workflows to reduce repetitive operational work.
Ideal For: Support, ops, and sales teams with high-volume manual steps.
Timeline: 3-6 weeks
- Workflow mapping and integration design
- API and event-driven automation implementation
- Failure handling and retry strategies
- Runbook and handoff documentation
RAG Knowledge Copilot
Build a source-grounded AI assistant over your internal docs and systems.
Ideal For: Teams with fragmented docs and repeated knowledge lookup requests.
Timeline: 4-8 weeks
- Document ingestion and retrieval setup
- Prompt and answer-quality tuning
- Source citation and trust controls
- Usage telemetry and quality dashboard
AI Support Retainer
Ongoing optimization and support after launch to improve quality, reliability, and ROI.
Ideal For: Teams already running AI features that need sustained iteration.
Timeline: Monthly
- Prompt and workflow refinement
- Model and toolchain updates
- Monitoring reviews and incident support
- Monthly roadmap and KPI review