We delivered an AI workflow automation platform that orchestrates multi-step business processes across departments — routing documents, making decisions, a...
We went from chasing tasks across inboxes to watching work flow through one transparent system.
Director of Operations
We delivered an AI workflow automation platform that orchestrates multi-step business processes across departments — routing documents, making decisions, and triggering actions with human approval gates where they matter.
| Project Detail | Information |
|---|---|
| Project Type | Web |
| Industry | Enterprise |
| Technologies | Temporal, LLM reasoning layer, Next.js, PostgreSQL, Kafka, Docker / Kubernetes |
| Delivery Partner | mTouch Labs |
| Primary Outcome | Processes that took days now complete in hours, with full traceability and far fewer errors. |
Critical operations relied on manual handoffs between email, spreadsheets, and siloed systems. Work stalled in queues, errors slipped through, and leadership had no visibility into where processes broke down.
We modeled each workflow as a graph of AI and deterministic steps, inserting LLM reasoning where judgment was needed and strict rules where compliance demanded it. Approval gates keep humans in control of consequential actions.
The platform provides a visual workflow builder, AI decision nodes, system connectors, and an observability layer showing every run, decision, and SLA in real time.
Durable, reliable workflow orchestration
Document classification and decisioning
Workflow builder and observability UI
Process state and audit records
Event streaming between systems
Scalable, isolated deployment
Documented existing workflows and identified automation candidates.
Split steps into AI-judgment vs deterministic-rule nodes.
Connected ERP, CRM, and document stores via secure APIs.
Added human gates, validation, and rollback handling.
Deployed per-department with live SLA dashboards.
Processes that took days now complete in hours, with full traceability and far fewer errors.
By blending AI judgment with deterministic rules and human oversight, the platform made enterprise operations faster, more reliable, and fully auditable.
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View case studyWhat businesses ask us most often about this project and how we built it.
It is the orchestration of multi-step business processes where AI handles judgment-based steps (like classification or extraction) and deterministic rules handle compliance steps, with humans approving consequential actions.
No. High-impact actions pass through human approval gates, and every decision is logged for audit.
Yes. We build secure connectors to ERP, CRM, email, and document systems so workflows act across your existing stack.
We use durable workflow orchestration so long-running processes survive failures and resume exactly where they left off.
A real-time observability layer tracks cycle time, error rates, SLAs, and bottlenecks for every workflow.
mTouch Labs combines AI-powered development with deep industry expertise to deliver solutions faster.