Build reliable workflows that run smoothly.
Developers build workflow logic while Unmeshed handles retries, timeouts, and durable execution state.
Keep business code focused on domain logic while orchestration manages failure handling and recovery.
Run long-lived workflows with persisted state so progress survives restarts and transient failures.
Debug with full execution history instead of stitching logs across multiple systems.
Turn manual operations into live workflows, fast, without waiting in an engineering queue.
Design end-to-end automations with visual steps your team can understand and own.
Adapt processes in minutes as priorities change, without rebuilding backend code.
Keep execution control with approvals, holds, and overrides when real-world exceptions happen.
Orchestrate APIs, webhooks, queues, files, and databases in one flow.
Mix REST, GraphQL, and event-driven steps without custom glue code.
Bring modern and legacy systems into one reliable execution path.
Start with linear automations and expand to branching, fan-out, and joins.
Add retries, timeout rules, and fallback paths as flows mature.
Handle short-lived jobs and long-running business processes in the same model.
Automate onboarding, order handling, batch cycles, and incident response.
Support human approvals and intervention steps when needed.
Track every run with clear history for support, audits, and improvement.
Customer onboarding orchestration
Order and fulfillment coordination
Incident triage and escalation
Daily batch + API continuation
Approval-driven operations flow
Every Operational Use CaseIs a Workflow.
Build and run it with Unmeshed for an experience that brings joy.
Workflow systems only work in production when execution semantics are explicit. Unmeshed brings persistence, continuation, and recovery controls into the orchestration plane so reliability is designed in.
Recover and continue workflow execution from persisted checkpoints while preserving behavior integrity across retries and restarts.
Define resilient execution policy at step granularity so failure handling is intentional, reviewable, and environment-safe.
Manage workflow runs that live for minutes, days, or weeks while retaining context and progress through every transition.
Inject external updates from APIs, webhooks, queues, or user actions into active runs without fragile process hacks.
Support review, hold, skip, and approval checkpoints for flows that require operational or compliance oversight.
Prevent duplicate side effects with explicit boundaries at call, step, and workflow levels across distributed integrations.
Run workflows from APIs, events, schedules, and operations actions in one model. Teams can standardize how work starts and how context enters active runs.
Start or signal workflows from REST, GraphQL, gRPC, or service endpoints.
React to queue messages, webhook events, and streaming system signals.
Run by cron, business calendars, or controlled operational windows.
Launch and intervene from dashboard actions with full traceability.
Step 1
Define workflow graph, dependencies, decision points, and side-effect boundaries.
Step 2
Version and promote workflow definitions with environment-specific controls.
Step 3
Execute with durable state, retries, and step-level concurrency controls.
Step 4
Track run history, branch choices, and failure context in one timeline.
Step 5
Roll forward with safe versioning while active and future runs remain controlled.
Code workflows are useful, but orchestration concerns should not be buried in service code. Unmeshed keeps development speed and adds a control plane built for evolving production systems.
Use SDKs and typed code for complex domain behavior while orchestration concerns remain in a dedicated execution plane.
Represent process structure in a way developers, operators, and business owners can review together before deployment.
Package common steps, retries, policies, and patterns for consistent delivery across product teams.
Move from deploy-and-guess to observe-and-improve with execution-level evidence in production.
Enforce authorization, rate controls, and data handling policy at orchestrated boundaries.
Define timeout thresholds, escalation steps, and recovery playbooks directly in orchestration logic.
Keep versioned definitions and execution records for compliance review and operational governance.
Pause, reroute, retry, skip, or continue with controlled intervention instead of ad-hoc scripts.
Start with one cross-team flow that is currently brittle in code-only implementation.
Define orchestration boundary, side effects, and ownership for workflow and services.
Capture success metrics: runtime stability, lead time, and mean time to recovery.
Model dependencies, retries, and branch decisions in workflow definitions.
Add state checkpoints and event/signal pathways for long-running continuation.
Run pre-production simulations to validate failure and recovery behavior.
Instrument step-level telemetry, logs, and run-level diagnostics before scale.
Train operations on intervention controls, runbooks, and escalation triggers.
Introduce governed rollout by environment and team domain ownership.
Publish reusable workflow patterns for approvals, fan-out joins, and compensations.
Establish version and migration policy for active versus new executions.
Scale adoption with shared templates, policy checks, and review workflows.
Orchestrate lead routing, qualification, enrichment, and handoff with explicit approvals.
Coordinate identity checks, account provisioning, and notification steps across systems.
Trigger diagnostics, containment, approvals, and restoration workflows across teams.
Combine schedule-driven jobs and event continuations in a single durable flow model.
Wrap AI/agent steps with guardrails, deterministic actions, and human checkpoints.
Sequence APIs, queues, and datastore interactions with failure-aware orchestration semantics.
Unmeshed helps teams move from fragile code-owned flow logic to a durable workflow system with clarity, control, and operational confidence in production.