Feature · Business Automation

Business automation that runs the whole revenue motion.

The automation most mid-market teams assemble from a CRM add-on, a marketing automation tool, a messaging platform, and a workflow glue vendor. Strkr delivers it as a native layer across the suite with Strkr AI available as a step and audit on every run.

Start free trial See pricing
What business automation looks like here

The automation layer the business runs on.

Business automation is a broad category: anything that reduces manual effort, speeds up a process, or ensures consistent execution across a team. Most mid-market companies assemble their automation from five vendors (a CRM workflow builder, a marketing automation platform, an SMS tool, a messaging bridge, and an external workflow platform). Strkr delivers the automation as a native layer across the suite, so the whole business runs on one engine rather than five.

Sales side

Pipeline hygiene, lead routing, forecast cadence.

Automate the hygiene most reps skip: stage-change actions (auto-create proposal, enroll in legal review, notify deal desk), lead routing (score, match, assign, notify), stale-deal nudging (10-day silence triggers an AI-drafted follow-up), forecast locking (Friday 5pm, audit-logged resubmits), Monday digest to leaders. The sales ops lead configures each in minutes.

Marketing side

Campaign triggers, nurture flows, attribution.

Campaigns fire sales motions: specific link clicks surface the lead to the SDR with a drafted reply, specific engagement thresholds move the lead score, specific unsubscribes close the loop. Attribution writes to the pipeline automatically. The marketing team runs the full nurture lattice without a separate marketing automation subscription.

Messaging side

SMS and MMS inside the same Flow runtime.

Strkr Messaging is the native SMS/MMS layer. A Flow can send an SMS, listen for inbound, and route the reply to the owning rep. Classic sales SMS patterns (welcome, demo confirmation, post-meeting follow-up, renewal reminder) run end-to-end inside Strkr. No separate SMS platform subscription.

Delivery side

Projects module tied to CRM events.

Deal closes, Projects module auto-creates the implementation project from a template with pre-populated tasks, dependencies, and milestones. Project transitions fire back into the CRM: client sign-off triggers an invoice reminder, project completion marks the account as case-study-eligible. The handoff that usually drops happens on autopilot.

Support and ops

Tickets, requests, internal workflows.

Internal IT runs on a shared project with a Request issue type. Finance runs its month-end close on a Flow that fires reminder emails, aggregates reports, and posts to a Slack channel. HR runs onboarding and offboarding via templated projects. The operations automation that typically lives in six spreadsheets consolidates onto one surface.

AI assistance

Strkr AI inside every workflow.

Any Flow can call Strkr AI as a step: draft an email, summarize a thread, classify a lead, grade a deal, extract fields from a document. The AI output feeds the next step. Model-in-the-loop automation that most platforms gate to Enterprise ships on Strkr Pro.

Workflows the business actually runs

Patterns the ops lead ships in week one.

Business automation marketing talks about transformation. Teams running it in practice have a short list of workflows that recoup their first FTE-equivalent of time. These are the automations we see turned on first in production tenants, each shipping as a template a non-engineer can enable in minutes.

Lead-to-rep in seconds

Form submit, enriched, scored, assigned, drafted.

Form submit fires. AI enriches firmographic data, scores fit and intent, applies routing rules (round-robin, weighted, pooled). Contact created, lead assigned, first-touch email drafted in the rep's voice, surfaced in the rep's inbox. The journey from form submit to rep inbox is under 30 seconds.

Deal transition hygiene

Stage changes trigger the next 5 right things.

Deal to Proposal: proposal doc auto-created, legal-review cadence enrolled, task generated, deal desk notified. Deal to Closed Won: onboarding project cloned, commissions written, CS handoff task created, kickoff email drafted. The post-stage hygiene nobody has time for happens on every transition.

Monday forecast email

7am local, every leader's inbox.

Scheduled Flow fires at 7am local Monday. AI rolls up the week's forecast per rep, flags red deals, computes variance against last week, generates narrative for each manager, sends tailored emails. The leader opens the standup already prepared.

Monthly close

Finance's week-one reconciliation on autopilot.

Scheduled Flow runs the first business day of the month. Aggregates closed-won deals, writes to the commissions ledger, generates the AR aging report, posts a close summary to the exec Slack channel, drafts the board-reporting KPI table. The finance lead reviews rather than reconstructs.

Employee onboarding

HR onboarding runs as a project.

New hire form fires. Flow creates the onboarding project from a template with standard tasks (laptop ordered, accounts provisioned, training scheduled, first-week meetings booked). Automation routes each task to the right owner. HR tracks completion on the project dashboard; nothing drops.

Churn escalation

Health drops, save motion starts.

Flow runs daily on account-health signals. Below threshold: AI drafts save-motion summary, assigns CSM, pings exec sponsor in Slack, opens a tracking issue. The exec call lands with the playbook in motion rather than being the start of the save.

Where the ROI lives

The specific hours saved per workflow.

Business automation vendors claim time savings in vague percentages. The useful number is specific: how many minutes a week does each workflow save the team that runs it? These are directional estimates from the mid-market tenants we work with, measured against the pre-automation baseline they described during rollout.

Lead routing

Roughly 5-8 hours per week per SDR team.

The SDR-manager triage pass that most teams run (reading new leads, grading them, assigning to the right rep, drafting the first-touch email) is the clearest automation target. A 5-SDR team recovers roughly a work day per week once the lead-triage Flow is live and tuned.

Deal hygiene

Roughly 2-3 hours per AE per week.

The manual tasks every AE skips on busy weeks (updating next-step fields, logging stage changes, drafting follow-up tasks, creating proposal docs) take 2-3 hours a week when done well. Automation does them on every transition; AEs reclaim the time for actual selling.

Forecast prep

Roughly 4 hours per manager per week.

The classic Monday-morning forecast prep (pulling CSVs, cross-checking against last week, grading deals, building the manager narrative) is the single biggest time sink for sales managers. The Monday forecast email reduces it to a 10-minute review of the auto-generated digest.

Monthly close

Roughly 2-3 days of finance time.

Teams running finance close on spreadsheets and manual exports lose a reliable 2-3 days of controller time every month. Automating the aggregation, reconciliation, and report generation turns the first week of the month into a review-and-sign process rather than a build-from-scratch.

Churn save motions

Save rate up by low double-digits.

Teams that automate the churn-signal detection and the initial save-motion kickoff typically see save-rate improvements in the low double digits versus the manual-exec-call baseline. The CSM lands with the playbook already in motion; the save conversation is a continuation, not a cold open.

Project kickoff

Roughly 2 hours saved per new customer.

Implementation managers typically spend 1-2 hours standing up the onboarding project for each new customer. Automating the project clone from a template reduces that to a review-and-adjust. Multiplied across a quarter of new customers, the recovered implementation-manager time is substantial.

Governance and reliability

Running automation in production without surprise.

Business automation that occasionally misfires on a 10,000-record batch is a quiet disaster. Strkr Flows is built for production: idempotency to prevent double-execution, dead-letter queue for failed runs, concurrency limits to prevent runaway loops, version history for rollback, and a dry-run mode so a new Flow is tested before touching live records.

Idempotency

A Flow retried does not double-execute.

Every run carries an idempotency key. Transient failure that triggers a retry resumes rather than restarts. The classic double-email bug that external automation stacks occasionally produce is prevented at the runtime, not left to the Flow author to handle.

Dead-letter queue

Failed runs land somewhere visible.

Hard failures land in the DLQ with full context attached. Admin sees the failed run on the Flows dashboard with the failing step highlighted. Manual replay once the issue is fixed. No silent drops that nobody notices until the quarterly audit.

Dry-run mode

Test before enabling.

Before a Flow goes live, dry-run it against synthetic data or a sample of real records. The output shows which conditions evaluated true, which actions would have fired, and any schema violations. Enables confident shipping rather than ship-and-hope.

Version history

Rollback to any prior version.

Every save writes a new version. Diff two versions, rollback to a prior one, or branch for experiments. The pattern that works in staging is promoted to production as a version promotion. The classic "someone edited the Flow and nobody can remember what it did" problem is a scroll through the history.

Concurrency limits

Fast-firing triggers do not fan out to infinity.

Each Flow has a configurable concurrency ceiling (default 10). A trigger that fires 1,000 times queues the runs rather than spawning 1,000 parallel executions. Downstream systems (external APIs, email relays) are protected from the fan-out that breaks third-party stacks.

Alerting

Critical Flows wake somebody when they fail.

Alert policies per Flow. Lead-routing Flow fails: Slack ping to the sales ops channel. Forecast digest fails: email to the VP. Low-priority Flows just land in the DLQ for weekly review. The policy is configurable, not hardcoded.

Admin and permissions

Who can automate what, scoped to the right surface.

Business automation that any user can wire to any record is a security incident waiting to happen. Strkr's admin surface gates who can create Flows, what records those Flows can touch, and what actions require escalation to a service account. The automation layer is first-class in the permission model, not an afterthought.

Who can author

The automation.create permission.

Admins decide who can author Flows. By default: Admin and Workspace Lead roles. Teams running broader programs can grant the automation.create permission to specific users (sales ops, revenue ops, marketing ops). Standard reps and users do not author Flows unless explicitly granted.

Scope per Flow

Flows live under a workspace or a project.

A Flow is either workspace-scoped (admin surface, cross-module) or project-scoped (lives on a project's Automations tab, limited to that project). Project-scoped flows can be authored by the project lead. Workspace flows require admin or automation.create. The scope lives on the Flow, not scattered.

User vs service account

Flows run as a user by default.

A Flow runs as its owner. The actions and AI steps respect the owner's permissions. If the owner cannot update a field, the Flow cannot either. Admins can elevate a Flow to a service account with broader access, logged separately on the Flow's detail page. The elevation is visible, not hidden.

PII and sensitive fields

Automation respects data classification.

Fields marked sensitive at the tenant level (SSNs, bank account numbers, health identifiers) are stripped from AI prompts and masked in log entries. Automation that would otherwise write a sensitive value to an external integration requires explicit admin approval. The classic "a Flow leaked a field" risk is prevented by the data classification layer.

Review and approval

High-governance tenants gate Flow changes.

In regulated-space tenants (healthcare, finance, legal), admins can require that any new Flow or AI step is reviewed and approved before going live. The approval queue surfaces diffs against the prior version. Approvers add comments and sign off. SOC 2 change-control satisfied with one surface rather than a Google Doc checklist.

Audit export

Every Flow run, exportable.

Audit log is queryable in-product and exportable to CSV or Parquet on demand or on a schedule. The exported log is the artifact SOC 2 Type II and ISO 27001 auditors ask for when reviewing automation governance. Compliance reviews run against the export, not a reconstruction.

Compared to the alternatives

What a native business automation layer replaces.

Most mid-market businesses assemble automation from five or six vendors: a CRM workflow builder, a marketing automation platform, an SMS tool, an external workflow glue vendor, a reporting layer, and a scheduler. Each solves one slice; each adds a bill and a permission system to manage. Strkr's native Flows runtime replaces the stack.

HubSpot Workflows

Approachable, gated.

HubSpot Workflows is the best-in-class CRM automation surface for a non-engineer. The AI-heavy workflows and the deeper branching land in Enterprise. For a growing team the jump from Pro to Enterprise is a doubling or more in per-seat line to unlock the automation ceiling.

Salesforce Flow

Capable but single-system.

Salesforce Flow is powerful inside Salesforce. The strength is also the limit: Flow is single-system. Automation that reaches marketing, messaging, or project work needs third-party bridges or separate Salesforce products (Marketing Cloud, Service Cloud) with separate licenses. Strkr's Flows runs across the whole suite natively.

External workflow platforms

Powerful glue, per-task bill, extra permission layer.

External automation platforms work. The tradeoff is a per-task bill, a second permission system, and a data flow that leaves your tenant on every run. For a team running thousands of workflow actions per day the per-task bill becomes a real line item. Strkr's Flows ships included.

Pipedrive Automations

Simple, limited.

Pipedrive handles the basic patterns (stage change triggers, email templates). Breaks down at the first multi-step branching or AI-in-the-loop requirement. Fine for very small teams. Growing teams typically subscribe to an external automation platform rather than upgrade Pipedrive.

Monday Automations

Flexible, expensive at scale.

Monday automations work across its boards. The per-seat and per-automation pricing climbs quickly when you need the integrations tier or the complex workflows. Agile-specific automation (sprint transitions, capacity math) requires manual assembly rather than ship-as-a-shape.

Strkr Flows

Native layer, included, one audit log.

Flows runtime, Strkr AI steps, every native integration, full audit log, dry-run mode, version history, dead-letter queue, concurrency limits, idempotency, all shipping on Pro and above with no per-task metering and no automation-tier upsell.

Flows ships on Pro. Strkr AI ships on Pro. Every integration ships on Pro.

Automate your sales motion, your marketing cadence, your messaging flow, your project kickoff, and your month-end close on one engine. Start a free trial, build your first Flow this afternoon.

Start free trial See pricing
Common questions

What buyers ask about this feature.

What is business automation?

Business automation is the use of software to execute processes with little or no human intervention. The scope spans sales motions (lead routing, deal hygiene, forecast cadence), marketing motions (campaign nurture, attribution, unsubscribe handling), messaging flows (SMS welcome, confirmation, follow-up), delivery workflows (project kickoff on deal close, task routing, status reporting), and operational processes (month-end close, employee onboarding, request intake). Historically teams assembled business automation from five or six specialized vendors. Strkr delivers it as a native layer across the suite with Strkr AI available as a step inside any Flow.

What are the benefits of business automation?

Three concrete benefits. First, time recovered: the manual hygiene tasks every team member skips on busy weeks (updating fields, drafting follow-ups, creating documents, routing leads) happen automatically. A typical 25-person revenue team recovers an FTE-equivalent of time within a quarter of enabling the core automations. Second, consistent execution: the SLA you promise (lead response in 5 minutes, proposal in 24 hours, follow-up in 48 hours) is enforced by the runtime rather than relying on human discipline. Third, auditability: every automation run writes to the log with the full context, so the compliance team and the sales leader can both answer "what did we do with this lead or deal" from a single surface.

How do I get started with business automation?

The pattern we see work: pick one workflow with clear owner pain and measurable baseline, ship it, measure, then expand. The usual first candidate is lead routing (because every revenue team has one, the baseline is easy to measure, and the win is visible in the first week). The second candidate is deal transition hygiene (because every AE skips it on busy weeks, so the automation lifts the whole team's floor). The third candidate is the Monday forecast email (because the leadership time recovered has outsize downstream effect). After those three the team usually finds its own list. Strkr ships each as a starter template a sales ops lead enables in minutes.

Can automation work across sales, marketing, and project work?

Yes, and this is the specific advantage of running automation inside a suite rather than between tools. Cross-module workflows are the easy case because the CRM, Marketing, Messaging, and Projects modules all write to one event bus, share one user model, and operate under one permission layer. A campaign hitting a threshold can trigger an SMS blast. A deal closing can create a project. A project completing can mark a contact as case-study-eligible. External automation platforms can do this with bridges and effort; Strkr Flows does it as the easy case because the modules being automated are already one system.

What happens when an automation fails?

Transient failures (rate limits, timeouts, upstream 5xx) retry with exponential backoff. Hard failures (missing credentials, bad schema, condition violation past retry) land in the dead-letter queue with the full context attached. The admin sees failed runs on the Flows dashboard with the failing step highlighted, the error class, and the input. Alerting is configurable per Flow: critical Flows (lead routing, forecast digests) can route to Slack or email; low-priority Flows just land in the DLQ for weekly review. Manual replay is available from the DLQ once the issue is fixed. Nothing fails silently.

Is there a per-task or per-step fee?

No. Flows runs are unlimited at Pro and above. No per-task bill, no per-step surcharge, no monthly operation cap. AI steps have per-user daily caps for cost control (configurable by admins to prevent runaway loops), but those are safeguards, not metering. The cost shape is predictable per-seat pricing (see /pricing), not a usage curve that spikes on busy months. The external automation platforms teams typically compare Strkr against meter by task; Strkr Flows does not.

Related features

Pair this with...

Business Process Automation Workflow Automation Sales Automation Marketing Automation Process Automation No-Code Automation

Try it free. Bring your team next week.

No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.

Start free trial See pricing