allv Workflows

Build AI workflow automation with branching, recovery, and control.

allv is AI workflow automation software for teams that outgrow brittle Zapier-style sequences. Build multi-step workflows with CRON, webhook, manual, condition, Gmail polling, and heartbeat triggers, then keep approvals, artifacts, replay, and recovery attached to the whole flow.

Build your first workflow See trigger docs

Start from Templates and connect the right tools through Connections before you automate complex multi-step work.

Workflow Builder

Active · Version 5

rule

CONDITION · inbox.priority == "high"

Step 1

gmail.read_inbox

{"label":"PRIORITY","limit":10}

Step 2

branch.by_owner

{"if":"owner == ops","else":"route_to_sales"}

Step 3

parallel.notify_and_brief

{"targets":["slack","docs"]}

Step 4

gmail.send_email

{"to":"team@company.com","subject":"Escalation brief"}

Approval required before external send

Why Workflows Matter

Move beyond single-path automation.

call_split

Branching instead of brittle sequences

Route the workflow based on conditions, data quality, or downstream outcomes instead of forcing every run through the same linear path.

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Multi-step automation across tools

Coordinate inbox, research, docs, Slack, internal systems, and human approvals without splitting the work into disconnected automations.

healing

Recovery with operator visibility

Replay and recovery reduce run breakage while preserving the evidence operators need when the workflow still needs intervention.

Why teams switch

Use allv when simple workflow automation starts breaking down.

Use allv when simple automation stops being enough

When a workflow needs branching, memory, approvals, or judgment, rigid trigger-to-action chains stop being reliable.

Use allv when the work spans people and tools

Coordinate inbox, Slack, docs, research, approvals, and publishing in one run timeline instead of stitching multiple automations together.

Use allv when reliability matters more than raw task count

Replay, recovery, and operator visibility help complex workflow automation stay useful after the first edge case appears.

Trigger Types

Choose the real trigger model that matches your operation.

schedule

CRON

CRON

Schedule-based execution with timezone-aware cadence.

Example: Every weekday at 08:00 (0 8 * * 1-5)

webhook

Webhook

WEBHOOK

Start workflows from external events via signed endpoint calls.

Example: Triggered by an approved publish event

play_arrow

Manual

MANUAL

Run only when an operator explicitly clicks run.

Example: Triggered from the workflow detail panel

favorite

Heartbeat

HEARTBEAT

Evaluate connected sources proactively and dispatch a run only when the briefing should be delivered.

Example: Morning briefing after Gmail, Slack, Calendar, and GitHub checks

rule

Condition

CONDITION

Evaluate run context and start only when the workflow criteria are met.

Example: Start when inbox.priority == "high"

mail

Gmail Poll

Gmail Poll

Poll inbox conditions and dispatch runs when matching emails appear.

Example: Poll unread messages and route by sender

Branching and Conditions

Branch when the workflow needs judgment, not another duplicate flow.

Condition-based routing

Send high-risk runs to approval, low-risk runs to completion, and ambiguous cases to a review branch without cloning the workflow.

Parallel execution

Prepare briefs, notifications, and tracking updates at the same time when the output does not need to be strictly sequential.

Delegation chains

Pass work between tools and agents while preserving state, context, and approval policy across the chain.

Orchestration

Chain tool calls, branches, and delegation without losing step intent.

Define each workflow step with a clear purpose, let condition checks branch the run, and use parallel blocks where the work does not need strict sequencing. The entire pipeline stays visible from definition to inspection.

check_circleConditions and branches are part of the same workflow definition, not a separate system.
check_circleParallel work still feeds into one run timeline for approvals and diagnostics.
check_circleDelegation across tools preserves context instead of forcing every step to rebuild it.

Execution Pipeline

Branching enabled

Step 1

gmail.read_inbox

Collect urgent messages and normalize sender, owner, and due-date metadata.

Step 2

condition.if_urgent

Branch high-priority items into approval-ready handling and low-risk items into digest-only routing.

Step 3

delegate.notify_owners

Send the branch-specific next action to Slack and prep the email response draft.

Approval required before external send

Step 4

docs.update_brief

Write the final operator brief with links back to the run and inbox sources.

Self-Healing and Replay

Recover failed runs without turning them into black boxes.

Execution steps

4 steps · recovery trace available

gmail.list_messages

Input/output snapshot saved for replay.

browser.fetch_page

Recovered with fallback provider and preserved run state.

gmail.send_message

Pending approval before external send.

Editing and Delegation

Refine complex workflows without dropping back to manual rebuilds.

Natural-language edit drafts

Describe the change you want and review a workflow edit draft before applying it to the live definition.

Assignment, comments, and watchers

Collaboration controls keep workflow ownership, review notes, and watch subscriptions tied to the same automation record.

Shadow mode and replay

Observe workflow behavior, inspect replay context, and decide whether to retry or promote the run path after review.

Routine mining to draft

Repeated successful work can surface as routine candidates and open directly as workflow drafts instead of starting from a blank canvas.

Control and Safety

Operate confidently with explicit workflow controls and output state.

Workflow lifecycle

Keep automations organized with clear state transitions for active, draft, paused, and revision-ready workflows.

activedraftpaused

Approval checkpoints

Sensitive writes, external sends, and risky recovery paths can still pause for explicit approval before the workflow proceeds.

approverejectworkspace policy

Delegation and fallback

When a step fails, the system can retry or route through an alternative path while preserving the run history for review.

retryfallbackreplay

Run-linked outputs

Durable artifacts, approvals, and publishing state stay linked back to the workflow and run that produced them.

artifactsapprovalpublish

Workflow FAQ

Questions teams ask before they replace brittle automation.

What makes allv different from Zapier or Make?

allv is built for AI workflow automation that can branch, use memory, pause for approval, recover from failure, and keep a full run history instead of relying on rigid linear chains only.

Can I build multi-step workflows with approvals?

Yes. allv supports multi-step workflows that branch, call tools, generate outputs, and stop for approval before sensitive actions are sent or published.

Which workflow triggers are available?

Workflows can start from schedules, webhooks, manual runs, conditions, heartbeat monitoring, and Gmail polling depending on the use case.

What happens when a run fails?

Failed runs can be retried, replayed, or routed through recovery logic while preserving the full execution trail for review.

Do I need to code to use this?

No. Non-technical teams can start from templates and plain-language editing, while developers can go deeper with APIs, MCP-compatible clients, and more advanced workflow patterns.

Related features

Workflows are strongest when they connect to memory, templates, and integrations.

Build once.Run with control.

Automate repeatable operations with branching logic, recovery, and human control.

Build your first workflow See Memory

allv gives teams AI workflow automation with branching, approvals, replay, and recovery when one-step automation tools stop being enough.