Business process automation and workflow on one engine.
Automate the operational motion across sales, marketing, finance, operations, HR, and compliance. Visual trigger-condition-action builder, cron-and-event scheduling, inbound webhooks, Strkr AI as an action step, audit log on every run. One builder, one audit, one price per seat.
Nine capabilities that cover the operational motion.
Business process workflow automation is a phrase that stretches to fit a lot of marketing pages. The honest coverage test is nine capabilities below. If the platform only covers five of nine, the ops lead ends up building the rest in middleware, which creates the exact bolt-on tax the native engine was supposed to prevent. Each capability lives inside Strkr on one engine with one visual builder and one audit log that satisfies SOC 2 Type II (in progress 2026-Q4) and HIPAA access tracking for teams on the BAA.
Event triggers
Any record event on any object.
Record created, record updated, field changed, stage transitioned, task completed, email replied, meeting booked, document signed, invoice sent, custom field crossed threshold. Every record event the platform produces is a candidate trigger, and every custom object gets the same trigger surface the standard objects do.
Scheduled triggers
Cron, delay, date math.
Scheduled workflows fire on cron expressions with tenant-timezone handling and DST awareness. Delay steps between actions pause the flow for seconds, minutes, hours, or days. Date-math triggers (fire 7 days before close date, fire 90 days after onboarding) handle the renewal and anniversary patterns without a middleware polling job.
Inbound webhooks
External events on the workflow bus.
Inbound webhook triggers accept a payload from any external system and fire the workflow with the payload available in conditions and actions. The workflow builder lets the ops lead inspect the first payload to configure the condition grammar against the actual shape of the data, which prevents the configure-blind problem common to middleware tools.
Conditions
ALL-of and ANY-of across linked records.
Conditions evaluate against any field on the triggering record and any field on linked records up to three hops. ALL-of and ANY-of can nest, and the condition tree supports NOT and date math. The same grammar that filters a report also filters a workflow, which keeps the mental model tight across the platform.
Write actions
Create, update, assign, enroll.
Create a record, update fields on the triggering record, update fields on a linked record, assign an owner, create a task, enroll in a sequence. Write actions respect validation rules and fire downstream workflows on the records they touch, so a cascade of workflow logic composes without a middleware tier.
Send actions
Email, SMS, Slack, outbound webhook.
Send email through the native Gmail or M365 sync, send SMS through Strkr Messaging, post to Slack through the native integration, call an external webhook with a templated body and header auth. Send actions respect consent, DND, and bounce state on every outbound channel in one place.
AI actions
Strkr AI as a workflow step.
A workflow step can prompt Strkr AI (summarize this call transcript, extract the next step from this email, score this account on ICP fit) and write the result back to a field on the record. The prompt library ships with starter prompts and prompts can be scoped per team. The LLM provider is the Strkr backend, not the user-facing brand.
Branch logic
If-then paths without duplicating workflows.
Branch steps let a workflow fork on a condition. If deal size is above $100,000, route to the enterprise sequence. Otherwise, route to the mid-market sequence. Branches collapse the "two workflows for one job" anti-pattern that bloats middleware stacks and makes the audit log unreadable.
Error handling
Retry, fallback, dead letter.
Every action has a retry policy with exponential backoff, a timeout, and a dead-letter queue for inspection. Failed webhook actions retry on a schedule. Updates that violate validation rules write to the dead letter with the full payload so the ops lead can replay after the fix. The engine never silently swallows a failure.
How Strkr runs the engine
Native to the records, every surface, every function.
The dominant pattern in business process workflow automation is a middleware tier (Zapier, Make, Workato) sitting between the system of record and every external action. The pattern works at low volume and breaks on scale, on compliance surface, and on latency. Strkr runs the engine inside the platform where the records live. The surface below is how that lands in practice. The through-line is that every workflow reads from the live record and writes back inside the same database transaction, which eliminates the round-trip tax that middleware stacks pay.
Live record
Trigger fires on the current state.
The workflow trigger fires on the record event the moment it lands, not on a polling interval. A deal that moves at 10 AM fires the stage-transition workflow at 10:00:01 AM. A middleware polling job on a one-minute interval would fire at 10:01 AM at best, and on a longer polling interval the lag stretches to minutes or hours.
In-transaction write
The action lands inside the same transaction.
Write actions execute inside the same database transaction as the trigger event where possible. The deal stage change and the next-step update happen as one atomic operation, so a reader of the deal record never sees an intermediate state. Middleware stacks cannot offer this guarantee because they live outside the database.
Permission scoping
Who can edit which workflows.
Workflow edit permissions scope by object, by workflow, or by workspace. A RevOps lead can edit sales workflows while the CS manager can only edit CS workflows. The audit log scopes to the same permission model so an exec can observe every workflow without accidentally editing one. The scoping prevents experimental workflows from reaching production without approval.
Versioning
Draft, publish, roll back.
Workflows have draft and published states. A new edit creates a draft that can be tested in sandbox and published when ready. Every published version is retained, and a bad publish can be rolled back to the prior version in one click. The ops lead who shipped a broken condition at 4 PM Friday can roll back in five seconds and investigate on Monday.
Testing
Sandbox against sample records.
Before publish, the builder runs the workflow against a sample record and shows the trigger evaluation, the condition result, and the simulated action output. For destructive actions, sandbox shows what would have been written instead of actually writing. The ops lead catches misroutes and missing conditions before the first live run.
Metrics
Run count, success rate, latency per workflow.
Every workflow has a metrics tab showing run count, success rate, action latency, and error distribution over the last 24 hours, 7 days, and 30 days. The ops lead investigating a flaky workflow sees the pattern in two clicks instead of grepping log files. The metrics layer is where SLA-shaped workflows get their monitoring.
Starter templates
Pre-built workflows per function.
The template library ships pre-built workflows for sales, marketing, operations, finance, CS, HR, and compliance. Clone, tweak, publish. The RevOps lead who starts from a template ships the first ten workflows in two weeks instead of six because the primitives are already in place. The template library grows with product cadence.
Audit log
Every run, every edit, every click.
Every workflow run writes an audit record with the trigger payload, the condition evaluation, the action results, and the user that configured the version. Every edit to the workflow writes a diff against the prior version. The audit trail satisfies SOC 2 Type II (in progress 2026-Q4) and HIPAA access tracking for teams on the BAA.
Why native beats middleware
The costs that compound as the motion matures.
A workflow stack built on middleware (Zapier, Make, Workato) imposes a tax that compounds as the motion matures. The pattern below is the shape of the tax drawn from switchover engagements. Strkr is a software company and every integration ships as first-class native code with webhooks, APIs, and KMS-encrypted credential storage. We mention the middleware pattern because buyers often compare against it, not because we recommend it. The native case gets stronger as workflow count grows because the tax scales with workflow volume while the Strkr line does not.
Per-run metering
The bill scales with activity.
Middleware charges per Zap run or per operation. The more successful the motion, the more expensive the stack. A workflow running on every lead becomes a line item growing with lead volume, which creates a direct financial penalty for growing the top of funnel. Strkr runs workflows on the per-seat license without per-run metering below the plan cap.
Round-trip latency
Trigger fires, middleware polls, action lands.
A middleware polls the trigger source on an interval, executes the step chain, and calls the destination API. Round-trip latency ranges from seconds to minutes depending on sync frequency and rate limits. A native workflow runs inside the same database transaction as the trigger event with latency in low tens of milliseconds.
Credential sprawl
Secrets stored in a middleware you did not scope.
Every integration a middleware uses stores credentials with the middleware vendor. The compliance team now has a vendor relationship with the middleware plus every integration vendor. On a SOC 2 Type II (in progress 2026-Q4) scope, each additional vendor is a questionnaire, a DPA, and a risk assessment.
Error visibility
The failed step lives in a tab you forget.
When a middleware step fails, the error lands in the middleware console. Ops teams who do not check the console daily miss failures that corrupt downstream data. Native workflows log every error on the record audit log, where the ops lead already looks. The missed-error problem goes away because the error surface is the surface the ops lead already monitors.
Version drift
The middleware config diverges from the CRM.
A middleware step built on a field set keeps the field set hard-coded. When the CRM schema changes (new field, renamed field, type change), the middleware step breaks. Native workflows watch the schema automatically because the engine and the schema live in the same system.
Hard scaling cliffs
Middleware tiers do not match growth.
Middleware tiers have run-count caps and task-count caps that trip when the motion scales. The upgrade conversation lands at renewal with a 2x or 3x price step. Native workflows run on the plan tier the team is already on, which keeps the renewal conversation inside the main contract instead of fighting a surprise middleware upgrade.
How teams run it
Three workflows live in the first week.
The workflows below are what most Strkr customers stand up in the first week of go-live. Each one takes 10 to 30 minutes to configure from a template. The pattern repeats across customers because the three jobs cover the first-order operational tax a growing team pays. Shipping these three alone pays for the subscription on the first full quarter because the manual-process tax goes away and the per-run metering tax of a middleware alternative never shows up.
Lead-to-SDR routing
Fifteen rules in one tree.
Route by segment, times territory, times SDR workload, times named-account book, times tier. All conditions live in one rule tree with ALL-of and ANY-of nesting. The ops lead publishes once, tests against sample leads, and the entire routing motion runs on one workflow instead of a scattering of filter rules across a middleware console.
Deal-to-invoice
Closed Won fires finance workflow.
When a deal moves to Closed Won, generate the invoice from the deal line items, send to the billing contact, create a payment-due task on the account owner, and schedule a payment-reminder sequence. The finance workflow reads from the deal record so the finance team runs on the same source as sales without a sync in between.
Account-to-handoff
Closed Won hands off to onboarding.
When a deal moves to Closed Won, create the onboarding project from the project template, assign the implementation CSM, send the welcome email with the kickoff link, and schedule the first check-in. Project workflow reads from the deal record so the handoff happens in one write without a sync.
Renewal pre-flight
Six-month pre-renewal motion runs itself.
Six months before renewal date, book a success check-in automatically. Three months out, open a success task on the CSM with usage trends attached. One month out, re-open the deal for the AE with the renewal brief, usage, support history, and expansion signals. Three workflows chained on a single date-math trigger.
Business process workflow automation on every paid tier. One engine, every function.
The workflow engine, visual builder, audit log, and sandbox ship on every paid tier. Starter runs the standard trigger and action set at low volume. Pro lifts the run cap and unlocks AI action steps. Scale and Enterprise unlock custom webhook signing and advanced permission scoping. No per-run metering below the plan cap.
What is the difference between business process automation and workflow automation?
Business process automation (BPA) is the broader category that covers end-to-end automation of multi-step business processes across functions. Workflow automation is a subset that covers specific trigger-condition-action rules within a process. The two blur in marketing, which is why most buyers evaluate them together. Strkr ships both on one engine: the workflow engine handles the trigger-condition-action primitives, and the composition of chained workflows across functions handles the process-level automation. The dividing line is zero because process automation is seeded workflows that admins can clone and extend.
Can non-technical users build business process automation in Strkr?
Yes. The workflow builder is a visual, no-code surface. Triggers, conditions, and actions compose in a drag-and-drop canvas. Conditions use ALL-of and ANY-of grammar with date math and nested Boolean logic. Actions pick from a library of pre-built steps. For custom logic beyond the action library, outbound webhook actions call any external system, which keeps the escape hatch open without pushing the whole engine onto an engineering team. Most RevOps leads ship their first ten workflows in the first two weeks of go-live without an engineering ticket.
How does Strkr handle long-running process automation (multi-day workflows)?
Workflows support delay steps that pause for seconds, minutes, hours, or days, and scheduled triggers fire on cron expressions with tenant-timezone handling. The combination lets a workflow span days or weeks without consuming compute while paused. The renewal pre-flight motion that fires at six months, three months, and one month before renewal is a single workflow with date-math triggers, not three separate workflows chained manually. For workflows that need external input before continuing (approval gate, manual review), the pause-and-resume pattern lets the workflow wait on a record event before proceeding.
What triggers are available for business process automation?
Three trigger types cover the standard business process automation surface. Event triggers fire on record events (created, updated, field changed, stage transitioned, task completed). Scheduled triggers fire on cron expressions or date-math conditions (fire 7 days before close date, fire 90 days after onboarding, fire every Monday at 7 AM). Inbound webhook triggers fire on external events with the payload available in conditions and actions. The three trigger types compose: a scheduled trigger can fire a check that enrolls records in an event-triggered workflow, and an event-triggered workflow can call an inbound webhook equivalent through outbound actions.
How does Strkr compare to UiPath or Automation Anywhere for RPA?
UiPath and Automation Anywhere are robotic process automation (RPA) tools that automate screen-level interactions with legacy systems. Strkr is API-first business process automation that reads and writes records through the native platform. For teams whose automation targets live inside the Strkr record model (and the systems Strkr integrates with natively), the API-first approach is faster, more reliable, and less expensive than RPA. For teams whose automation targets are legacy systems with no API access (mainframe, custom-built intranet tools from the early 2000s), RPA fills a gap Strkr does not cover. Most mid-market SaaS motions sit in the API-first category and consolidate on Strkr for the business process layer.
What happens when a business process workflow fails?
Every action has a configurable retry policy with exponential backoff, a timeout, and a dead-letter queue. Failed webhook actions retry on a schedule. Updates that violate validation rules write to the dead letter with the full payload so the ops lead can inspect and replay after the fix. The engine never silently swallows a failure. Every error writes to the workflow audit log with the trigger payload, the condition evaluation, and the action that failed, so troubleshooting takes seconds instead of grepping log files or digging through a middleware console. The dead letter queue is the primary mechanism for recovering from schema changes and transient integration errors.
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