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The processes we install for technology & saas teams — each with a price, a free template and the tools it runs in — and, below, a guide to choosing tools when you would rather buy software than have the process automated.
AI Agent Playbook for Engineering and Security Teams
What we automate in technology & saas
Each is a standard automation — what arrives, what happens, who approves — with a free template, a kit from $49, an install for $249, or run for you as a subscription with setup and maintenance included. The free audit tells you which first — no call.
Free audit for technology & saasEvery trial and demo request enriched, scored and answered personally within minutes — speed to lead is the whole game.
A weekly score per account with the reason it moved, and a drafted intervention for the CSM.
Failed payments retried by decline code, dunned across channels, saved with the right offer.
Cited answers from your docs for the repetitive third of tickets; the rest routed with a summary.
A first-pass review on every pull request against your own standards, before a person reads it.
Choosing tools instead
The buying guide: which kinds of AI software fit this industry and where teams usually start — for when you would rather buy a tool than have the process automated.
Tech companies have the most agent types to choose from—and the most sophisticated deployment patterns. Coding agents pair-program with developers. QA agents run regressions. Operations agents detect and triage incidents. Cybersecurity agents monitor threats. Data agents automate analysis. The question isn't whether to use AI agents, but how to sequence deployments and share context across engineering, security, and ops teams.
Agent types to consider
Each links to a detailed page with tools, comparisons, prices and use cases for that agent type.
All agent typesContext-aware suggestions, reviews, and refactoring in your IDE—no setup scripts.
View full guide →QA testingWrite test cases, run end-to-end browser tests, and find visual bugs autonomously.
View full guide →cybersecurityTriage alerts, hunt threats, and automate incident response runbooks.
View full guide →data analysisWrite SQL, visualize trends, and answer business questions via chat—no code required.
View full guide →operationsAutomate internal IT tickets, employee onboarding, and system monitoring.
View full guide →Popular use cases
FAQ
If your bottleneck is shipping speed, start with a coding agent. If quality and regressions are the bigger problem, start with QA. Many teams deploy both simultaneously since they complement each other directly.
Operations agents focus on infrastructure incidents (outages, performance, alerts). Cybersecurity agents focus on threats (intrusions, vulnerabilities, compliance). They often share monitoring data but serve different teams and SLAs.
Next
Tell us about your use case and the free audit sends a one-page plan on the page and by email in minutes with a straight answer: managed workflow, custom build, or not worth automating yet — with the price.