Service
AI Agents & Intelligent Assistants
Beyond chatbots: agents that take real actions in your business — with the guardrails, evaluation, and human oversight to make them trustworthy.
Who this is for
- Support teams buried in repetitive tickets
- Businesses that want a knowledgeable assistant grounded in their own data
- Product teams adding AI features without an in-house ML team
What you get
- Custom AI assistants grounded in your documents and data (RAG)
- Agents that act: create tickets, update records, draft replies, schedule
- Evaluation suites and guardrails before anything reaches a customer
- Usage analytics and continuous improvement loops
Process
How this engagement runs
01
Scope
Define what the agent may do, must never do, and how we measure success.
02
Ground
Connect your knowledge and systems with the right retrieval architecture.
03
Evaluate
Test against real scenarios until accuracy meets the bar we agreed.
04
Ship & tune
Deploy with monitoring, then improve from real usage data.
Tools & technology
Claude / GPT modelsRAG pipelinesVector databasesLangGraph / agent frameworksModel evaluation tooling
FAQ
Common questions
How do you stop the agent from making things up?
Grounding in your data, constrained tools, evaluation suites against real scenarios, and human-in-the-loop review for high-stakes actions.
Can it integrate with our existing helpdesk / CRM?
Yes — integration with your current systems is the default, not an add-on.
Ready to talk ai agents & intelligent assistants?
Free consultation, honest scoping, fixed quote. No obligation.