Practical guides for working with agents.
Clear walkthroughs for connecting your apps, governing agents and automating the work your team repeats.
All guides.
What is agentic Routine automation
The older automation tools connect two apps with a rigid rule. Agentic automation takes an outcome you describe in plain language and figures out the steps.
How to choose an AI Routine automation platform
Most of the market is trigger-action tooling with an AI logo bolted on. Here are the questions that tell you whether a platform can actually run your work.
How to write plain-language Routine prompts that work
The prompt is the spec. A vague description gets a vague Routine. Here is the structure that gets you a Routine that does exactly what you meant.
A guide to AI agents for small business
A small team feels every hour of admin because there is no one to hand it to. That is exactly why AI agents pay off fastest at small scale.
How AI agents work, explained simply
An agent is not magic and not a chatbot. It is a loop: read the situation, decide, act through your tools, check the result, repeat. Here is how that loop runs.
How to build an AI SDR Routine
An AI SDR is not a spam cannon. Done right it is research plus judgment plus your approval, running on every lead instead of the ten a human gets to.
How to build an AI support Routine
The goal is not to deflect customers with a bot. It is to let the routine resolve itself and hand your team the hard tickets already researched.
How to add human approval gates to automations
The gate is what makes autonomy safe. Placed well, the AI does everything up to the decision and a person spends seconds approving. Placed badly, it is a bottleneck.
How to move from Zapier to agentic automation
You do not migrate a Zap step for step. You describe the outcome the Zap was straining to achieve and let the AI handle the branches you were maintaining by hand.
Zapier vs AI Routine automation
This is not a better-or-worse contest. Trigger-action tools and agentic platforms are built for different kinds of work, and the honest answer is many teams use both.
How to connect your CRM to AI automation
The CRM stays the system of record. The AI reads from it, acts across your other tools, and writes back, so your pipeline data stays accurate without a migration.
How to use MCP servers with AI agents
MCP is the standard way to hand an AI client a set of tools it can call. A hosted MCP server turns your Routines and data into functions any agent can use.
How to build an AI research Routine
Good research is repeatable, not heroic. Wrap it in a Routine that returns a cited brief every time, so the homework happens before the call instead of never.
How to build internal tools without code
The internal tool your team needs is usually too small to earn an engineering ticket and too annoying to do by hand. Describe it and have it built and hosted for you.
How to automate data entry across apps
Copying the same record from one app into three others is the purest form of work a person should never do. A Routine reads it once and writes it everywhere.
How to automate outbound sales with AI
Automating outbound the wrong way just sends more bad email faster. Done right, it scales the part that works: research, relevance, and disciplined follow-up.
How to automate lead enrichment
A lead with just a name and an email cannot be qualified or routed well. Enrichment fills in the rest automatically, the moment the lead arrives.
How to automate cold email deliverability
Deliverability is not a setting you flip; it is the sum of good habits. The value of automation is doing those habits consistently on every send, not skipping them at volume.
How to automate lead routing
A lead that waits to be assigned is a lead going cold. Automated routing puts every one in front of the right owner the moment it arrives.
How to automate meeting follow-up
The follow-up that never gets sent is where deals and goodwill quietly die. A Routine turns the meeting into notes, a draft, and updated records while it is fresh.
How to build a competitive intelligence Routine
Competitive intelligence dies as a manual chore because no one has time to check ten competitors every week. As a Routine, it just arrives, cited and current.
How to automate content operations
Content stalls in the operations around it, not the writing. Automate the briefs, routing, and publishing logistics and the writers get their time back.
How to automate SEO content production
Mass-producing thin SEO pages is a short-lived trick. Automating the research and logistics behind genuinely useful pages is the version that lasts.
How to automate social media publishing
The risk in social automation is publishing something you would not have. Keep a person on the approve step and let the Routine handle everything around it.
How to automate marketing reporting
The weekly marketing report is a data-assembly chore, not an analysis one. Automate the assembly and get the same reliable pack every week without the scramble.
How to automate invoice processing
Invoice processing is reading, coding, matching, and approving, done the same way every time on messy inputs. That is exactly the shape a Routine handles well.
How to automate expense report review
Manual expense review is either a rubber stamp or a bottleneck. Automated policy checks let the clean reports flow and put a human only on the real exceptions.
How to automate accounts receivable collections
Collections slips because chasing invoices is uncomfortable and easy to defer. A Routine does the steady follow-up and brings you only the accounts that need a call.
How to automate support ticket triage
Triage is the unglamorous first mile of support, and it decides everything after it. Automate the sorting and your team starts every ticket in the right place.
How to automate customer onboarding
A customer's first thirty days set the relationship. Automating the onboarding steps makes that experience consistent instead of dependent on who happened to own it.
How to automate knowledge base maintenance
A knowledge base rots because updating it is nobody's job. A Routine turns the tickets your team answers into the doc updates the base needs, and drafts them.
How to automate recruiting Routines
Recruiting is a people job buried under logistics. Automate the scheduling and coordination and recruiters get their time back for the part candidates remember.
How to automate candidate screening
Screening automation should organize and summarize, not silently reject. Done right it gives every applicant a consistent first read and hands the decisions to people.
How to automate reporting dashboards
A dashboard is only as good as the data feeding it, and feeding it by hand is the reason so many go stale. Automate the pull and the numbers stay live.
How to automate approval Routines
Approvals stall in the routing and the reminders, not the deciding. Automate the coordination and the approver just gets a clear ask, with everything they need attached.
How to automate weekly status reports
The weekly status report is data that already exists, retyped by hand. Pull it from where the work lives and the report assembles itself.
How to keep AI automations compliant
Automation does not have to mean losing control. An audit trail, scoped access, human gates, and PII discipline are what keep AI Routines compliant and reviewable.
How to scale operations without hiring
Most operational scaling is hiring to keep up with busywork that grew with the business. Move that load to Routines and headcount can track strategy instead of volume.
How to measure the ROI of AI automation
You cannot measure ROI you did not baseline. Capture the before, then track time reclaimed, errors avoided, speed gained, and the work that became possible at all.
AI automation for agencies
An agency's margin is people against client volume. Automating the repetitive service work lets each person carry more clients without the quality slipping.
AI automation for ecommerce
Ecommerce is volume: orders, tickets, catalog updates, review replies. Routines absorb the repetitive volume so a lean team can run a store that keeps growing.
AI automation for real estate
In real estate the fast, consistent follow-up wins, and it is exactly what a busy agent drops. Routines keep every lead answered and every deal moving.
AI automation for accounting firms
A firm's constraint is staff hours against seasonal volume. Routines absorb the document chase and repetitive prep so scarce professional time goes to the real work.
AI automation for SaaS companies
A SaaS business runs the same lifecycle over and over: acquire, onboard, support, retain. Each stage is full of operations a Routine can run so the team builds product.
How to integrate AI into your existing ERP stack
The right integration pattern for AI in finance is on top of the ERP, not in place of it. Here is exactly how the wiring works.
What is an AI agent workforce
An AI agent workforce is a team of specialized agents working alongside a human team across every department. Less abstract than that does not work.
How to automate month-end close
The close gets shorter when the manual reconciliation moves to an agent. Here is exactly how to wire that up without disrupting the controller's day.
How to automate employee onboarding
Most onboarding workflows still run sequentially because that is how the spreadsheet was written. Run them in parallel and the calendar drops from twelve days to thirty minutes.
How to automate employee offboarding
The leaver case is the security exposure people hand-wave through. Sixty-second revoke is not a marketing number; it is the difference between an audit finding and an audit pass.
AI agents vs RPA, which is right for my team
RPA fits legacy desktop apps with no API. Agents fit modern SaaS that exposes documented authorization. Pick the tool that matches the apps in scope.
Why RPA keeps failing on SaaS
Selector-based automation does not survive a vendor UI release. The cycle costs more than the workflow saves once the apps under automation hit a normal release cadence.
What is the procure-to-pay cycle
Procure-to-pay covers requisition, sourcing, PO, receipt, invoice, and payment. The automation worth installing lives at the exception handling, not the standard path.
How to automate vendor management
Vendor management is mostly chase. Onboarding chase, COI chase, contract chase, renewal chase. The agent runs the chase, the procurement lead runs the strategy.
AI for finance, what actually works
Most AI-for-finance pitches are slideware. Here is the short list of workflows that ship working in production today and where the savings actually show up.
AI for HR, what actually works
AI-for-HR is mostly chatbots and resume parsers. The work that actually changes the team's calendar is JML, payroll close, and compliance.
AI for revenue operations
RevOps tooling mostly fights the rep instead of helping them. The agents that help work on the friction the rep already feels: dirty CRM, missing artifacts, ramping new reps.
AI for customer success
CSMs spend two-thirds of the week on admin. Pull the admin into agents and the CSM gets back the time to talk to customers, which is what they were hired for.
What is three-way invoice match
Three-way match is the standard AP control against fraud and overbilling. Skipping it is also the standard practice, because nobody has time to chase a missing receipt.
What is joiner, mover, leaver (JML)
JML is the lifecycle of a user account from hire through role changes through exit. It is the single highest-volume IT category and the one most ripe for automation.
How long should employee onboarding take
Documented cases show onboarding falling from twelve days to four once provisioning is parallel rather than sequential. With agents, thirty minutes is the spec.
How to handle SaaS license rightsizing
License rightsizing is a quarterly audit nobody runs because it costs more than it saves at small scale. The agent runs it monthly for free.
How to build an AI-first back office
Most companies retrofit AI onto the back office they already built. The cleaner pattern is to build the back office assuming agents are part of the team from day one.
Can AI agents replace headcount
The honest answer is no. The agents take the parts of the work people were not hired for and give back the time for the parts they were.
How to track SaaS spend without a dedicated tool
You do not need a SaaS-spend tool to know what you are spending on SaaS. The data already lives in three places you already have.
AI for legal operations
In-house legal teams run from a shared inbox and a Drive folder. The agents take the routing and the obligation tracking, the lawyers run the judgment.