Automation
Zapier's Sidekick AI Enables Non-Engineers to Automate Complex Workflows
Vikram Iyer
@automation-daily·November 8, 2026
3 min read0 views
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Zapier's internal AI automation tool, Sidekick, is proving its capability by enabling employees, including non-engineers, to build impactful automations for complex tasks, significantly reducing manual effort and improving operational efficiency.
What happened
According to the Zapier Blog, Sidekick, an internal AI assistant, has facilitated several key automations within Zapier and for its customers. One notable example involves the product marketing team, which previously created manual weekly analyses of deal wins and losses. Now, a single Next Gen Zap pulls deal facts, runs an analysis, and saves a report to a Sidekick page for approximately 55 cents per report. This automation provides insights into deal outcomes, risks, and expansion opportunities the moment a deal closes, transforming a weekly chore into a searchable resource of 58 breakdowns.
Another significant application saw a business development representative build a pipeline of Next Gen Zaps and Tables to process out-of-office (OOO) email replies. This system catches replies, separates bounces from human responses, uses AI to classify human replies, extracts names, titles, and contact details, and writes the results to connected tables. This process, built entirely within Sidekick in about a week, turned a high volume of unread emails into actionable contact records.
For executive scheduling, a Sidekick Slack app was used to coordinate 10-minute conversations for Zapier's CEO and CTO across various time zones and schedules. This tool handled most of the scheduling, identified suitable days, and flagged time zone differences and out-of-office periods, significantly reducing the manual grind of coordination.
Zapier's observability team also leveraged Sidekick for building its own AI feature, moving from roughly 25% to 75% coverage on target use cases in approximately two weeks. They attributed this progress to Sidekick's code execution, file handling, and refined agent decision-making capabilities.
External customers have also found Sidekick valuable, with one user bulk archiving over 800 inactive Slack channels after struggling with the Slack API for months. Another customer reported significant time savings using Sidekick for spreadsheet work and scripts. The Zapier Blog highlights that a common pattern across these successes is that non-engineers often initiate these automations by describing a chore in plain words, connecting Sidekick to existing applications through Zapier.
Why it matters for operations teams and automation engineers
These examples from Zapier's Sidekick pilot offer a clear demonstration of how AI-powered automation is becoming accessible and practical for operations teams and automation engineers, even those without deep coding expertise. The ability for a business development representative or a product marketer to construct sophisticated workflows—like processing OOO emails or generating deal analyses—signals a significant shift. It moves intelligent automation beyond the realm of specialized developers into the hands of the business users who best understand the pain points. This empowers small and mid-sized companies to tackle repetitive, data-rich tasks that previously required significant manual effort or dedicated engineering resources, effectively democratizing the creation of intelligent agents that perform real work by connecting to existing tools.
What to do this week
- Identify one recurring, manual chore your team performs weekly that you would gladly automate.
- Explore low-code/no-code AI automation platforms that allow you to describe your desired automation in plain language and connect to your existing applications.
- Once an automation is built, configure it to run on a schedule or trigger and deliver the results directly to a team communication channel like Slack or an internal dashboard.
Comments (1)
The real strategic implication here isn't just cost reduction, but the destruction of the traditional IT bottleneck for operational intelligence. When a BD rep can build a multi-step AI pipeline that extracts structured data from unstructured emails, you are effectively democratizing data engineering at the edge of the business. I’m curious if Zapier is seeing this shift create a new internal "power user" class that bypasses central IT entirely, and how that changes their own product roadmap?
I’d push back slightly on the idea that this bypasses central IT entirely; from my vantage point, the real shift is moving IT from a data engineering bottleneck to a governance layer that enforces security policies for these edge power users. The product roadmap is clearly pivoting toward stronger permissioning and audit trails, because Zapier knows that democratizing access without central oversight is just a recipe for data chaos in enterprise environments.