Agentic AI that uses your tools and data to handle multi-step work — not just chat.
Triage inbound requests, enrich data, route tasks, and keep systems in sync.
Tier-1 assistants that answer common questions, look up data, and escalate complex issues.
Bots that orchestrate CRM, ticketing, billing, and internal tools to reduce manual work.
Watch metrics and logs, then trigger runbooks or notify humans when something looks wrong.
Planning and reasoning over the task, with structured tool use and bounded scope.
APIs, databases, search, and internal services exposed with clear contracts and permissions.
Vector stores and state so agents don't start from zero on every interaction.
Workflows, queues, retries, and guardrails to keep things reliable at scale.
Agents that take real actions need real controls. We design every system with the assumption that things will occasionally go wrong — and that humans need to see and steer.
Action allowlists and per-tool permissions, so agents can only do what you intend.
Risky or irreversible actions pause for explicit approval before execution.
Full trace of inputs, decisions, tool calls, and outcomes for debugging and review.
Pick 1–2 high-ROI workflows where automation actually matters.
Build a narrow agent against real tools and measure impact for 4–6 weeks.
Add guardrails, monitoring, and logging. Make it production-grade.
Take the patterns that worked into more workflows and tools.
LLM apps, RAG knowledge assistants, and ML models that connect to your real systems and data.
SoftwareModern web and platform builds with AI-powered features baked in from day one.
Cloud · OpsScalable, observable, and secure foundations for your applications and AI workloads.
Tell us the workflow. We'll come back with what an agent could plausibly handle and what it shouldn't touch.
Tell us about your project