Multi-agent workflows
LangGraph-powered agent graphs with parallel specialist lanes, typed handoffs, and retry logic baked in.
Enterprise AI-agent control tower
ATower is an enterprise workflow control tower that routes complex decisions through specialist AI agents — with Band-backed collaboration, full audit trails, and mandatory human review at every high-impact step.
Real architecture
Every layer is a first-class engineering concern. The control plane is fully inspectable from dashboard to database.
Proof workflow
The deepest workflow in the MVP — demonstrating the full agent lifecycle from intake through specialist analysis to human decision.
Job description and candidate resume submitted via structured form. Artifacts stored in Supabase Storage; metadata indexed in Postgres.
LangGraph routes the run through parallel specialist agents: skills alignment, culture fit, experience depth, and red-flag detection. Each agent posts findings to its Band room.
A consolidated advisory report surfaces in the dashboard. Agent outputs are recommendations only — the hiring decision always belongs to a human reviewer.
Advisory outputs only. Agent recommendations inform, not replace, human judgment. High-impact decisions require explicit human approval before any action is taken.
Platform capabilities
LangGraph-powered agent graphs with parallel specialist lanes, typed handoffs, and retry logic baked in.
Documents indexed via pgvector in Supabase. Agents retrieve relevant context at runtime — no hallucinated citations.
Every agent finding is posted to a Band room. The full decision thread is auditable, shareable, and persisted alongside the run record.
Agent outputs are advisory. High-impact decisions gate on explicit human approval — the system cannot act autonomously on consequential choices.
Workflow templates
Intake to specialist agents to human hire/no-hire review. The full proof-of-concept workflow with parallel lanes and Band audit.
Start workflowScore and route inbound leads through ICP-fit, intent, and budget agents before handing off to an account executive.
Use templateRoute change requests through impact analysis, dependency check, and risk scoring agents before an engineer approves.
Use templateOpen the dashboard and start a run from any template in under two minutes.