Smart routing
AI classification and extraction routes work to the right system, team, or approval path.
HubSpot · Salesforce · n8n · AI agents
We connect HubSpot, Salesforce, Notion, Asana, Slack, and your stack with n8n, Zapier, Make, and AI agents — so leads, docs, tickets, and approvals move without manual glue work. Human-in-the-loop where it matters; full automation where it doesn't.
Traditional automation breaks when inputs aren't perfectly structured. AI workflow automation understands context, extracts meaning from unstructured data, and makes intelligent routing decisions — handling the processes that rule-based systems can't touch.
We design systems with confidence scoring and human-in-the-loop fallbacks, so AI handles high-volume standard cases while your team reviews only the exceptions.
AI classification and extraction routes work to the right system, team, or approval path.
Confidence thresholds send exceptions to reviewers with full context — not dead ends.
HubSpot, Salesforce, Notion, Asana, Slack — wired into reliable multi-step flows.
Human decisions feed back into the system to expand automated coverage over time.
We often combine both — RPA for structured steps, AI for judgment-heavy tasks — for maximum coverage.
Document processing, approval workflows, orchestration, and compliance — with AI judgment and human oversight built in.
Automated extraction, classification, and routing of invoices, contracts, claims, applications, and other business documents with 95%+ accuracy.
Intelligent approval routing with risk-based escalation, parallel paths, SLA tracking, and automated notifications. Cut approval times by 60%+.
Multi-step coordination across CRM, ERP, databases, and APIs with event-driven triggers and error recovery.
Configurable confidence thresholds and smart queuing that routes exceptions with full context.
AI classification and routing of inbound emails and support tickets with auto-draft responses.
Automated regulatory checks, audit trail generation, and compliance reporting with real-time violation alerts.
Your CRM, docs, projects, and messaging — wired into reliable AI-assisted flows.
Lead enrichment, scoring, pipeline updates, and outreach that writes back to the CRM.
Task creation, status sync, and knowledge handoffs without copy-paste.
Multi-step workflows with retries, branching, and human approval steps.
Alerts, drafts, and escalations routed to the right channel automatically.
Sync, transform, and trigger on events across your operational stack.
LangGraph agents and classifiers for judgment steps with confidence gates.
Structured delivery from workflow mapping through integration, AI tuning, and monitored rollout — with a 90-day implementation plan and clear ROI projections.
Document current process, identify automation candidates, volume, error rates, and ROI levers.
Week 1–2Wire CRM, docs, and messaging into n8n/Zapier/Temporal flows with error handling and retries.
Week 2–5Add classification, extraction, and routing with confidence thresholds and human review queues.
Week 4–8Production rollout, monitoring dashboards, and continuous coverage expansion from reviewer feedback.
Week 8–12AI, orchestration, business apps, and integration layers — selected for reliability and your control requirements.
Production workflow automation with measurable operational impact.
LangGraph multi-agent system automating lead scoring, outreach, and CRM updates with confidence-based routing for 50K+ accounts.
AI document extraction pipeline reducing patient onboarding from 45 minutes to 8 minutes with human-in-the-loop review.
We commonly automate HubSpot, Salesforce, Notion, Asana, Slack, Jira, Airtable, Monday, Pipedrive, Intercom, Google Workspace, and Microsoft 365 — orchestrated with n8n, Zapier, Make, Temporal, or custom agents depending on reliability and control needs.
AI can automate document processing and routing, approval workflows with intelligent escalation, data extraction and validation, customer request triage, compliance checks, invoice processing, and multi-step business processes with conditional logic.
RPA follows rigid, rule-based scripts that break when inputs change. AI automation understands context, handles unstructured data, and adapts to variations. We often combine both — RPA for structured steps and AI for judgment-heavy tasks — for maximum coverage.
Our clients typically see 60–80% reduction in manual processing time, 90%+ accuracy on document classification and extraction, 3–6 month payback period, and significant error reduction. Exact ROI depends on current volume, complexity, and error rates.
We design human-in-the-loop systems where AI handles the 80%+ standard cases and routes exceptions to human reviewers with full context. The system learns from human decisions to continuously improve coverage while maintaining quality guarantees.
Tell us about the workflows you want to automate — we'll map out a 90-day implementation plan with clear ROI projections within 48 hours.