Agent workflows, RAG systems, LLM-native tooling — designed with guardrails and integrated into your existing stack.
You've probably run into these.
AI experiments, no production
Everyone tried ChatGPT. Nothing changed the P&L.
Support drowning
Volume up, headcount frozen.
Repetitive knowledge work
Analysts do the same six things every Monday.
A structured, transparent engagement.
Opportunity map
Where AI actually removes hours or unlocks revenue.
Design
Agent design, guardrails, escalation, data flow, evals.
Build
Integrate with your CRM, support, warehouse, product.
Operate
Monitoring, evals, cost controls, iteration.
What you get.
A fixed scope, fixed timeline, and a shared board so you always know what's next.
- Use case map
- Agent design
- Integrations
- Guardrails + evals
- Observability
- Ongoing tuning
Frequently asked.
Model-agnostic. OpenAI, Anthropic, open weights, per use case.
Zero-retention endpoints, private tenants, or self-hosted.
6–12 weeks to first measurable saving on well-scoped work.
We remove the work they hate. Reallocation, not layoffs, is the pattern.
Fixed build + monthly ops. Model spend is passed through at cost.