Custom Sales Pipeline Automation
When pipeline templates and Zapier recipes can't express how your team actually qualifies, routes, and works deals.
Most sales automation is templated for a single inbound funnel with a linear pipeline and a small set of fields. Real sales operations route leads by territory, segment, product, deal size, partner channel, and account ownership. They progress deals through stages with conditions that depend on data the CRM doesn't natively know about. They run follow-up cadences that branch on engagement signals from email, calendar, and product analytics. We build pipeline automation that fits your qualification rules and team structure as written, not the version that fits inside a Zapier recipe.
Pressure-test your bottleneck›Common stack today
- Salesforce, HubSpot, Pipedrive, or Close for the CRM
- Outreach, Salesloft, or HubSpot Sequences for cadences
- Clearbit, Apollo, or ZoomInfo for enrichment
- Calendly or Chili Piper for scheduling
- Slack for the manual handoffs
- Zapier holding pieces together
Where no-code tops out for sales pipeline workflow
Lead routing breaks first. Round-robin works fine until the rules involve territory, account ownership, deal size estimation, segment fit, partner attribution, and rep capacity. Most CRMs handle two or three of those simultaneously. They don't compose them. Teams end up with a routing spreadsheet that someone updates weekly and a sales ops person doing manual reassignments.
Stage progression is the second problem. Stages should advance based on real signals: a meeting actually happened, a proposal was actually sent, a procurement contact was actually identified. CRMs let reps move stages by clicking. They don't enforce the underlying conditions, so the pipeline reports the team trusts are not the pipeline reports the team gets.
Follow-up cadences are the third problem. Real cadences branch. They escalate to a different rep on slow responses. They pause when the prospect engages with a marketing email. They stop when the deal advances to a later stage. Sequencing tools handle the linear case; the branches are where they fall apart.
And pipeline reporting is the fourth problem. The questions leadership wants to answer (how many deals are stuck at proposal stage past their typical duration, how many are unqualified by current ICP rules, how many are missing a procurement contact) are questions the CRM's standard reports cannot express.
What we build
We build a pipeline automation service that runs alongside your CRM and handles the logic the CRM can't. Lead routing runs against your real rules: territory, segment, ownership, capacity, partner attribution, all composed in code. Stage progression checks the actual conditions before advancing; if a deal is supposed to be at proposal stage, the proposal exists. Cadences branch on real signals, escalate when needed, and pause when the prospect engages elsewhere.
The CRM stays as the system of record for accounts, contacts, deals, and activity. The service drives it through its API. Reports your team needs but the CRM can't produce get built into a custom dashboard, sourced directly from the same data the CRM uses. Sales operations stops being a manual job of moving deals around the system.
Routing rules, qualification logic, and cadence definitions all live in code. When the rules change, the change is a reviewable diff, visible to sales ops and engineering together. Nothing important about how your pipeline runs lives in a setting buried in a SaaS configuration screen.
How it's built
- Python or JavaScript for routing and cadence logic
- PostgreSQL for state and reporting data
- React for custom pipeline dashboards
- Deployed to your AWS, Azure, or GCP account
- API integrations with your CRM, sequencing tool, and enrichment providers
Frequently asked
How is this different from buying Outreach or Salesloft?
Outreach and Salesloft are good at linear cadences with branching that fits a defined model. They're less good at routing logic that involves five or six dimensions composed together, at stage progression that enforces underlying conditions, or at reports that join CRM data with product analytics or support history. We typically don't replace those tools; we wrap them. The cadences run in Outreach; the rules about which prospect goes into which cadence run in our code, where the rules can express what your team actually does.
Does this work with our existing CRM?
If it has a documented API, yes. We've built pipeline automation against Salesforce, HubSpot, Pipedrive, Close, and several internal CRMs. The CRM stays the CRM. Our code reads from it, writes to it, and runs the logic that the CRM's automation layer can't express. The reps continue to work inside the CRM exactly as they do today; what changes is what the CRM does in the background and what the dashboards can answer. For Salesforce specifically, that typically means replacing Process Builder or Flow logic that's become too complex to maintain with explicit service code that does the same work with better observability.
Can sales ops still own the rules?
Yes, and that's an explicit design goal. Routing rules and qualification logic typically end up in a configuration layer that a non-engineer can edit. The complex parts (the matching algorithms, the API integrations, the dashboard) are in code. The parts that change weekly (territory boundaries, ICP definitions, cadence templates) are in a config that sales ops can update without filing a developer ticket. We don't try to build a no-code rule editor for everything; we build one for the parts that actually change frequently.
What about pipeline reporting?
Pipeline reporting is usually where the value of this approach becomes clearest. Once routing and progression are running on real conditions instead of self-reported clicks, the data underneath becomes trustworthy. We typically build a dashboard that shows the questions leadership keeps asking: aging by stage, conversion by source and segment, missing-step deals, capacity by rep. For teams that currently export CRM data to a spreadsheet to answer these questions, the dashboard eliminates that step and keeps the numbers current. The dashboard reads from the same database as the automation, so the numbers match what's actually happening.
Who owns the system after delivery?
The infrastructure runs on your cloud. We maintain the codebase, document the architecture, the routing rules, the cadence logic, and the integration points. Any competent engineer can read the code and extend it once the codebase has been transferred. Routing rule changes are the most common ongoing request; those are typically a configuration update, not a full deployment, so sales ops can often drive them with a short review cycle. If the engagement ends, we transfer the repository to your team, or hand it off to another firm you've already selected. Ongoing engagement is optional, not a lock-in.
Written and built by Charles Borden, founder of AutomationsHQ. Ten years of production systems engineering before this: ship control at Electric Boat, radar positioning at Raytheon. AutomationsHQ writes custom workflow automation for service operations whose stacks have outgrown Airtable, Zapier, and Make. Real production systems, not no-code patches. Mid Bay News reclaimed 100+ hours per week of manual work after we rebuilt their content aggregation pipeline.
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