Feature · RevOps Automation

RevOps automation that runs where the records already live.

RevOps automation is usually assembled from three or four tools stacked on top of the CRM: Zapier for integrations, Tray or Workato for the heavier flows, Clay for enrichment, Clari or Gong for forecasting. Each tool is reasonable in isolation and the stack costs more than any single CRM license. Strkr runs the automation layer directly on the deal, account, and contact records with native triggers (stage change, risk flag, lock close, signal), native actions (field update, task create, flow fire, Strkr AI prompt), and append-only audit on every run.

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What RevOps automation covers

The seven work streams a RevOps function automates.

RevOps automation is often described as "everything the ops team does." The useful breakdown names seven work streams: lead routing, pipeline hygiene, forecast cadence, segment maintenance, enrichment, cross-team handoff, and reporting delivery. Strkr ships each of those as a template an ops lead can configure in minutes, rather than wiring the same seven work streams across four tools.

Lead routing

The right rep gets the right lead.

Round-robin by segment, by territory, by account health; capped by rep capacity; respecting out-of-office; auditable on every assignment. The routing flow runs on the lead record itself, so the stamped owner shows up on the deal and the audit log explains the decision when a rep asks.

Pipeline hygiene

Nudges that keep deals current.

Stage age too long, missing next step, close date in the past, no activity in fourteen days, each triggers a nudge to the rep or the manager. The hygiene work runs during the week so Friday's forecast lock reads live state rather than a Monday scramble.

Forecast cadence

Weekly lock, miss debrief, risk flags.

The forecast cadence (Monday review, mid-week coaching, Friday lock, Monday debrief) is wired as flows on the forecast surface. The ops lead does not run the cadence as a reminder calendar, the platform runs it with notifications, surface opens, and audit records on each step.

Segment maintenance

Account tiers that update themselves.

Segment flows watch account signals (ARR, employee count, product usage, health score) and promote or demote tier automatically. The CRO reads a current segment cut rather than a quarterly re-tagging exercise. Reps get the right playbook because the tier is live.

Enrichment

Firmographics and contacts refreshed on cadence.

Enrichment flows refresh firmographic fields, re-score contacts, and surface new buying committee members from third-party sources (Clearbit, Apollo, ZoomInfo). The data lands on the account and contact records, with provenance in the audit log, not on a copied field with no history.

Handoff

SDR to AE to CS without lost context.

The handoff flow writes the summary, the contact map, and the next step from the losing team to the receiving team. The receiving rep opens the record and sees the handoff note at the top. The platform runs the handoff rather than relying on a Slack ping that disappears.

Reporting delivery

Reports land where people actually read them.

Weekly commit, segment coverage, risk roll-up, and churn signals schedule into Slack or email with the deal links. The ops lead does not send Monday emails by hand. The reports arrive with context so the reader does not need to open the CRM to get the point.

Where the automation runs

The six triggers Strkr ships out of the box.

Automation needs the right trigger. A rules engine with twelve generic triggers forces the ops lead to invent the shape of their business logic every time. Strkr ships six triggers calibrated to RevOps work, deal, account, forecast, signal, document, and schedule, each one aware of the records it reads.

Deal trigger

Stage change, close-date move, amount change.

The deal trigger fires on stage advance or regression, close-date move, amount change, risk flag, or ownership change. The flow has the full deal context in-hand (contacts, activity, products, prior stages) so the action can be specific. No separate API lookup to assemble context.

Account trigger

Tier change, health drop, renewal window.

The account trigger fires on tier change, health score drop, usage anomaly, renewal window opening, or executive change. The CS or AE team gets the signal in-platform with the account record attached, not as a cross-tool link that lacks context.

Forecast trigger

Lock close, risk flag, delta threshold.

The forecast trigger fires when the Friday lock closes, when a risk flag triggers mid-week, when the delta from last week crosses a threshold, or when a rep submits an outlier self-forecast. The downstream flow routes the right person to the right review.

Signal trigger

Intent, website, product usage.

The signal trigger fires on intent data (Bombora, G2, ZoomInfo), website activity (page view, pricing hit, demo signup), or product usage telemetry (feature touched, limit hit, idle). The signal lands on the account record and the trigger can route it, score it, or escalate it.

Document trigger

Contract state, proposal view, PO received.

The document trigger fires on contract state (sent, viewed, signed, returned), proposal page views, or PO receipt. The flow updates the deal, writes the record to the accounting integration, and notifies the right team. The audit log stores the document reference for retrieval.

Schedule trigger

Daily, weekly, cron, business-hours aware.

The schedule trigger fires on daily, weekly, monthly, or cron patterns, with business-hours awareness per tenant time zone. The weekly commit lock runs at the configured Friday time regardless of which admin logged in that week.

What the automation does

The seven native actions that cover 90% of RevOps work.

Automation is only useful if the available actions match the work. Strkr ships seven native actions, field write, task create, email send, flow fire, Strkr AI prompt, external API call, and audit write, that cover almost every RevOps task without an iPaaS between the trigger and the result.

Field write

Update a field on the triggering record.

A field write updates a stage, a tier, a close date, a probability, or a custom field with the computed value from the flow. The write lands on the deal and is tagged in the audit log with the flow name and the trigger. No ghost edits.

Task create

Spawn a task on the right owner.

A task create spawns a task with the correct owner, due date, context description, and link back to the triggering record. The owner sees it on their task list in-platform with the full context, not as a slack ping that scrolls away.

Email send

Templated email from the right mailbox.

The email action sends from the correct mailbox (owner, team, system), uses a tracked template, and logs the send on the related record. The reply threads back to the record. The platform ships template variables for every record field.

Flow fire

Chain into another flow.

A flow can fire another flow with context. Modular composition lets the ops lead keep flows short and reusable rather than one two-hundred-step monster. The chained flow inherits the audit trail of the parent for full traceability.

Strkr AI prompt

Draft a summary, extract fields, score.

The AI action drafts a summary of the last ten activities, extracts fields from a document, or scores a lead against a tenant-specific prompt. The AI output lands on the record with provenance so a human can review it before it hits a customer surface.

External API

Call a REST endpoint with record context.

The API action calls an external REST endpoint (Stripe, QuickBooks, HR system, custom app) with the record context. The response can write back to Strkr. Credentials are KMS-encrypted and the call is logged with the response code.

Audit write

Record the decision for compliance.

An audit write records a decision for compliance: who approved, why, with what context, at what time. Audit entries are append-only. For regulated teams the audit action is the whole reason to run flows on-platform instead of an unlogged script.

Why RevOps teams move off iPaaS

The six reasons the bolt-on stack gets expensive.

the version: Zapier, Workato, Tray, and Clay are each capable tools. A RevOps function that reaches scale often ends up on three of them at once, with a per-step cost model that climbs as volume grows. Strkr collapses the common RevOps automations onto the records themselves, which solves six specific problems the bolt-on stack creates.

Per-step pricing

The invoice follows the volume.

iPaaS tools charge per step, per task, or per operation. As volume grows the invoice grows. A fifty-rep team running thorough RevOps automation can spend $30k to $150k per year on iPaaS. Strkr's automation runs at the flat seat price without a per-step counter.

Two sources of truth

The iPaaS flow has its own copy.

An iPaaS flow runs on a copy of the record it pulls at trigger time. If the record changes mid-flow, the flow still runs on the stale copy. Strkr's flow reads the live record at every step, which eliminates the "the flow updated it, but the current value is different" class of bugs.

Credential sprawl

Six tools, six credential vaults.

Every iPaaS stores the credentials it needs to reach the CRM, the finance system, and the external APIs. Six tools means six credential vaults with six rotation calendars. Strkr's native actions use the integrations the admin configured once, from the single credential store.

Latency

The flow fires minutes after the trigger.

iPaaS flows typically poll or batch, which introduces a minutes-to-an-hour delay between the trigger and the action. Strkr's native triggers fire synchronously on the record change. The task lands before the rep refreshes their list, not after.

Audit fragmentation

Who did what, where, when, is spread.

An audit question that spans a lead routing flow in Zapier, an enrichment flow in Clay, and a forecasting flow in Clari requires three tool exports to answer. Strkr's audit covers every trigger, every action, and every write in one surface the ops lead can filter.

Admin complexity

Six tools, six admin consoles.

Each iPaaS has its own admin console, its own user model, its own permissioning. Onboarding a new ops hire means teaching six consoles. Strkr's automation lives in the same admin surface as everything else, which makes the ops team's learning curve a single system rather than six.

When iPaaS is still the right choice

The three cases a bolt-on automation layer wins.

Not every RevOps automation belongs on the CRM. If the automation spans ten systems that live outside the CRM, if it needs tight integration with a custom backend, or if the team already has a mature iPaaS practice with real engineering ownership, keeping the iPaaS is correct. Strkr's automation covers the record-centric work; the iPaaS still earns its keep for the three cases below.

Ten-system span

Flows that cross marketing, product, and HR.

A workflow that touches a marketing tool, a product analytics tool, an HR system, a finance system, and the CRM is iPaaS territory. The orchestration layer sits above the systems. Strkr can be one of the systems inside that orchestration, cleanly, via first-class webhooks and APIs.

Custom backend

Tight coupling to internal services.

A team with a mature product has internal services the CRM should trigger: provisioning, billing, support ticketing. iPaaS or an API gateway with engineering ownership runs that layer. Strkr fires the trigger over webhook; the real logic lives downstream where the engineering team owns it.

Mature iPaaS practice

The team already runs Workato well.

A RevOps team that already runs Workato or Tray with real recipe hygiene, versioning, and QA should not scrap the practice to adopt a new tool. Strkr integrates cleanly: webhook triggers out, API actions in. The teams that benefit most from the native approach are the ones not yet locked into iPaaS.

RevOps automation on the records themselves, at the flat seat price.

Lead routing, hygiene, forecast cadence, enrichment, handoff, and reporting as templates. No iPaaS seat, no per-step counter, append-only audit on every run.

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Common questions

What buyers ask about this feature.

How is Strkr RevOps automation different from Zapier, Workato, or Tray?

Zapier, Workato, and Tray are iPaaS tools that sit between systems and run flows on a copy of the record. They charge per step or per task, and they add a minutes-level latency between the trigger and the action. Strkr runs RevOps automation directly on the deal, account, and contact records, with native triggers (stage change, risk flag, lock close, signal) and native actions (field write, task create, flow fire, Strkr AI, external API, audit write). The automation runs at the flat seat price, synchronously on the record change, with one audit surface across every flow. iPaaS still wins when the automation spans ten systems outside the CRM, when a custom backend owns the real logic, or when a mature iPaaS practice is already in place; the native approach wins for everything that lives on the deal and account records.

What triggers and actions are available?

Six triggers: deal (stage change, close-date move, amount change, risk flag), account (tier change, health drop, renewal window, exec change), forecast (lock close, risk flag, delta threshold), signal (intent, website, product usage), document (contract state, proposal view, PO received), schedule (daily, weekly, cron). Seven actions: field write, task create, email send, flow fire, Strkr AI prompt, external API call, audit write. The ops lead composes them in a no-code canvas with conditional branches and loops.

How does the audit log work?

Every trigger, every action, and every record change is written to an append-only audit log with the acting user (or system actor), the flow name, the input context, and the result. The log is filterable by user, by record, by flow, and by date range. For regulated teams the audit log is the whole reason to run flows on-platform rather than as unlogged scripts. Retention is tenant-configurable.

Can we call external APIs from a flow?

Yes. The external-API action calls a REST endpoint (Stripe, QuickBooks, HR system, custom app) with the full record context. Credentials are KMS-encrypted and configured once in the integrations admin. The call is logged with the HTTP response code; a failing call retries on the ops-configured backoff. The response can write back to Strkr via field writes in the same flow run.

How does Strkr handle complex, multi-system orchestration?

For automations that span the CRM and nine other systems, we recommend keeping the iPaaS or API gateway in place and letting Strkr participate as one of the systems. Strkr fires webhooks on every trigger with full record context and accepts incoming webhooks to any record. For automations that stay close to the deal, account, and contact records, Strkr's native flows cover the work without a separate iPaaS and remove the per-step cost model.

How does this tie into the Strkr AI assistant?

The Strkr AI action is a first-class step in any flow. The ops lead can prompt the assistant with the triggering record and get a draft summary, an extracted field, a scored lead, or a decision rationale. The AI output lands on the record with provenance so a human can review it before it reaches a customer surface. The AI runs on the same context the flow sees, so the narrative lines up with the records.

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