Agentic Workflow Automation
AI agents that run your operations end to end
Most automation breaks the moment something is non-standard. Agentic automation does not. Our agents reason about each step, handle exceptions, and act across the tools you already use, so the manual work simply goes away.
Book a build call ↗What you can do with it
Invoice and AP processing
Hand the full invoice-to-payment loop to agents that read, match, and route exceptions. Real deployments cut cost from about $13 to under $3 per invoice and push straight-through processing past 90%.
Lead routing and qualification
Qualify, score, and route inbound leads in real time, with personalized follow-up before a human ever touches the record.
Support triage and resolution
Resolve routine tickets end to end and auto-escalate complex cases, with full conversation context handed to a human.
Onboarding and internal requests
Run onboarding and first-line IT and HR requests as orchestrated workflows, cutting time-to-productivity.
Financial close and reporting
Automate reconciliation, variance commentary, and report packaging so close week becomes analysis, not data entry.
Engineering toil
Put agents on routine pull requests, regression triage, and documentation so engineers stay on real work.
What we build
Reason and act
Agents read inputs, decide the next step, and complete multi-step work without hand-holding.
Wired into your stack
We connect to your CRM, inbox, sheets, and internal apps through secure integrations.
Reliable in production
Guardrails, logging, and human approval where it matters, so you can trust it with real work.
Tools and stack we use
- LangGraph
- CrewAI
- n8n
- Temporal
- Claude
- GPT
- open-weight routing
- Pinecone
- Qdrant
- Mem0
- durable execution
- LangSmith
- Arize
- evals
- human review
Enterprises are moving from AI that answers to AI that executes multi-step work across systems. Gartner expects embedded agents to jump from under 5% of enterprise apps in 2025 to 40% by the end of 2026. The winners are the minority who redesign workflows end to end and govern agents properly, since only 23% have scaled so far.