AI integration
AI integration
Grounded AI features, agents, search, and RAG workflows designed around reliability, evaluation, and cost control.
Engineered for production
Clear scope, visible progress, and an operable result.
Every engagement is designed around explicit decisions, measurable acceptance criteria, and maintainable ownership.
- Scope
- DEFINED
- Delivery
- VERIFIED
- Handover
- DOCUMENTED
How the engagement works
From operational problem to dependable production system.
- 01
Define the outcome
Agree the users, constraints, integrations, risks, and acceptance criteria before implementation begins.
- 02
Build and validate
Ship in reviewable increments with tests, observability, and real workflow validation.
- 03
Launch and operate
Deploy with documentation, monitoring, ownership, and a clear path for future improvements.
Engagement detail
What the engagement includes—and what your team receives.
Capabilities
- LLM product integration
- Custom agents and workflows
- RAG and private knowledge bases
- AI search and recommendations
- Evaluation and usage controls
Inputs
- Business objective
- Users and workflows
- Systems and constraints
- Success criteria
Outputs
- Production implementation
- Automated tests
- Operational documentation
- Launch and handover
Use cases
- LLM product integration
- Custom agents and workflows
- RAG and private knowledge bases
- AI search and recommendations
Delivery modes
- Project delivery
- Embedded product support
- Technical advisory
- Ongoing improvement
Connected engineering services
Continue through the Cherry Tech delivery system.
Workflow automation
Production automations with retries, monitoring, documentation, and clear human escalation paths.
Web development
Responsive, high-performance websites and web applications built around the product, content, and operational requirements.
Tech consulting
Architecture reviews, stack decisions, technical due diligence, and practical delivery plans without a vendor agenda.