Generative AI & Agentic AI
LLM integration, AI assistants and agent workflows for enterprise marketing and data teams, built with governance first.
Overview
Generative AI creates value when it is tied to a real workflow and governed from day one. We help teams choose practical use cases, connect models to approved data and tools, and put guardrails around quality, privacy and cost.
How we help
- Use-case selection and feasibility for AI assistants and agents
- LLM integration with retrieval over approved content
- Agent workflows and tool access, including Model Context Protocol (MCP) integrations
- Evaluation, human review and approval steps
- Privacy, access control, logging and cost controls
Our approach
- Frame: pick one workflow with a clear owner and success measure.
- Prototype: build a small version on approved data.
- Evaluate: test quality, safety and cost with real examples.
- Operate: add monitoring, review steps and a rollout plan.
Typical deliverables
- Use-case shortlist
- Prototype or reference architecture
- Evaluation plan
- Governance and access checklist
Questions
Will AI replace our team?
Our focus is assisted workflows with human approval, not unattended decisions on customer-impacting actions.
Which models do you use?
We stay model-agnostic and choose per use case, subject to your data and security rules.
Related
Ready to talk about your project?
Tell us your goals and current stack. We will reply with next steps, with no obligation.
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