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WAN

WAN Video

AI Video
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WAN is a workflow automation platform that connects apps, data, and AI steps to run dependable processes. Teams design runbooks with triggers, conditions, and actions across tools. LLM prompts enrich decisions, summaries, and content generation while guardrails preserve policy. Dashboards, logs, and controls keep operations observable so organizations scale automations safely across departments and changing campaigns without brittle scripts. Runbooks include notes, owners, and SLAs so work is clear and auditable later.

Features

1

Visual Builder and Runbooks

Design multi step workflows with a canvas for triggers, branches, and retries. Add forms and variables to capture inputs at runtime. Conditions guide routes; loops process lists. Templates provide starting points for common tasks. With runbooks that mix people and automation, teams move from ad hoc scripts to maintainable flows that ship faster while remaining understandable to non coders. Tags and folders organize automations by department, region, and campaign today.

2

AI Steps with Guardrails

Insert AI prompts for classification, drafting, and summarization. Constrain inputs, temperature, and context to control behavior. Pattern checks and allow lists block risky actions. Human in the loop steps request approvals when confidence drops. This blend speeds creative and analytical work while keeping changes auditable so results support brand, compliance, and operational standards. Dashboards track latency, success rates, and retries to guide tuning and growth.

3

Integrations and Events

Connect storage, CRM, help desk, ads, and analytics. Triggers listen to webhooks or schedules. Queues buffer spikes; backoff handles transient errors. Idempotency keys prevent duplicates. With a resilient event layer, workflows keep moving during traffic bursts and vendor hiccups, reducing manual catch up and letting teams trust automation on busy launch days or closing periods. Secrets and roles restrict access to data and actions according to policy rules.

4

Environments and Versioning

Develop changes in sandboxes, run tests, and promote versions with notes. Rollbacks restore known good behavior quickly. Secrets rotate on schedules. Access roles separate authors, reviewers, and operators. This structure keeps experiments safe while enabling rapid improvement, ensuring automations adapt to new products, pricing, or regulations without breaking downstream systems. Versioning and sandboxes protect experiments before promoting to production use.

5

Observability and Governance

Dashboards summarize run health, latency, and success rates. Step logs, inputs, and outputs are retained per policy. Alerts signal unusual error patterns. Exports push metrics to BI. With visibility and governance, leaders measure impact, prioritize fixes, and prove compliance. Teams avoid hidden bots and keep ownership clear as automation spreads across multiple departments. Webhooks, queues, and schedules orchestrate events reliably across busy weeks.

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Recomended For

Ops, marketing, support, finance, and product teams that coordinate many apps; programs that want AI assisted steps with approvals; organizations needing versioning, roles, and logs; and builders replacing brittle scripts with governed workflows that stay reliable during launches, seasonal peaks, and audits while remaining understandable to reviewers who are not deep into code. Fallbacks and circuit breakers limit risk when upstream services degrade quickly.

What it solved

Siloed scripts and manual tasks do not scale and are hard to audit. WAN centralizes design, AI steps, integrations, versioning, and observability. Teams run dependable flows, limit risky actions, and recover from vendor glitches. Work becomes measurable and repeatable, freeing time for higher value analysis and creative tasks while satisfying policy, reporting, and collaboration needs. Logs and metrics export to BI tools so leaders see impact beyond local projects.

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