1000+ Automations, Built by Industry & Role

Every inquiry (whether from a person seeking help, a concerned family member, or a referral source) triggers an immediate acknowledgment by text or phone within minutes, and the system walks the admissions coordinator through a structured clinical pre-screen before the first live conversation. Insurance eligibility and benefit verification for behavioral health services is initiated automatically from the intake data, and the coordinator receives a coverage summary before the financial discussion begins. Inquiries that don't convert to an admission within 72 hours receive a compassionate follow-up sequence that keeps the connection open without being pushy, because the person who called once but didn't admit may call again when they're ready, and they should remember the organization that treated them with dignity during the first call.

Every client's treatment plan is tracked against the required review schedule (typically every 30 days for residential, every 90 days for outpatient) and the primary clinician receives a review reminder seven days before the due date. Treatment plans not reviewed by the required date are flagged immediately for the clinical director, because an overdue treatment plan is a licensing and accreditation deficiency that puts the facility's certification at risk. Progress notes, group notes, and discharge summaries are tracked for timely completion per the facility's policy, and any clinician whose documentation is consistently late receives a pattern alert to the clinical director before it becomes a supervision issue or a payer audit finding.

Beginning 14 days before a client's projected discharge date, this automation prompts the case manager to initiate the discharge planning checklist (step-down placement, outpatient therapy referral, MAT prescriber, sober living, and transportation) and tracks the status of each item in real time. Referral organizations receive automated outreach from the case manager with the client's clinical summary and a requested intake date, and confirmations are logged as they come back. On discharge day, the client receives a personalized aftercare resource packet via text with all confirmed appointments, addresses, and contacts for the first 30 days of recovery, the most vulnerable period, when the quality of aftercare coordination most directly predicts outcomes.

After discharge, alumni receive a structured check-in sequence (a 30-day, 60-day, 90-day, 6-month, and 1-year message) celebrating their recovery milestones and connecting them to alumni meetings, peer support resources, and crisis line information. Alumni who respond to a check-in indicating they are struggling are immediately routed to the alumni coordinator for a personal follow-up call, with a prompt to assess whether a higher level of care is appropriate. Alumni who have been strong in their recovery receive invitations to become peer mentors, creating a self-sustaining support community where the people furthest along in their recovery are giving back to those earlier in theirs.

The behavioral health facility's referral relationships (hospital social workers, primary care physicians, employee assistance programs, criminal justice partners, and school counselors) are actively managed through a CRM that tracks every interaction and flags referral sources who haven't sent a client in 90 days for a re-engagement visit or call. New referral partners who send their first client receive a personalized thank-you within 24 hours and are enrolled in an educational content sequence about the facility's clinical model, outcomes data, and admission process. Monthly, a referral activity report is automatically generated and sent to leadership showing which referral channels are producing admissions and which are receiving outreach without converting, directing the BD rep's time toward the highest-yield relationships.

As beds open up and admissions are scheduled, this automation automatically updates a live availability count and notifies the admissions team and referral partners in real time. The manual phone calls typically needed to check current capacity, which cost referral partners time and sometimes cost the facility the referral entirely, are replaced by an always-current number.

This automation tracks the authorization status and remaining approved days for each patient's insurance, automatically alerting clinical and billing staff before an authorization runs out. A re-authorization request goes in before treatment coverage lapses mid-stay, instead of the facility discovering a gap in coverage only after care has already been delivered without it.

As a patient's discharge date approaches, this automation automatically triggers the discharge planning checklist, aftercare referral, medication reconciliation, follow-up appointment scheduling, and tracks completion of each item. Nothing gets missed in the final, often chaotic, days of a stay.

At set intervals after discharge, 30, 90, and 180 days, this automation automatically reaches out to alumni with a check-in message and connects them to alumni programming or support resources. The ongoing contact this maintains is strongly tied to long-term recovery outcomes, and it happens on a schedule instead of depending on staff remembering to follow up months later.

This automation automatically compiles daily census and occupancy data into the reports required for licensing and ownership review. A manual nightly headcount tally, prone to being off by the time anyone actually reads it, becomes an always-current dashboard.

Based on crop selection, field acreage, seed population rates, and the planned planting window, this automation generates a field-by-field planting schedule with equipment requirements and operator assignments. As planting progresses, operators submit brief daily field logs via mobile form, and the farm manager sees a live map of completed versus remaining acreage in real time. When harvest begins, the same system tracks field-by-field yield data as the combine reports it, compares actual yield against projected bushels, and flags underperforming fields for agronomic review, turning a spreadsheet that lives on one person's laptop into a shared, always-current operational picture.

When a crop scout submits a scouting report identifying pest pressure or disease above economic threshold (whether aphids, corn rootworm, white mold, or any flagged issue) this automation immediately notifies the farm manager and the designated agronomist, calculates the field acreage requiring treatment, generates a pre-filled pesticide application record, and schedules the application crew. The entire chain from "I found a problem" to "the sprayer is scheduled" happens automatically, rather than through a series of calls and texts that eat hours out of a narrow spray window when every hour of delay matters.

Each fall, this automation sends every grower in the rep's territory a personalized pre-season booking offer for seed, crop protection, and fertilizer, populated with last year's purchase history and any current early-pay incentives. Growers who book early receive automatic order confirmations and are added to a delivery scheduling sequence for spring. Growers who haven't responded by a set date receive a follow-up from the rep. The result is a pre-season order book that is substantially locked in before the competition can make their pitch, rather than chasing individual orders in the chaos of spring planting.

This automation maintains a calendar of every crop insurance reporting deadline (acreage reporting, production reporting, prevented planting claims, loss notifications) for every policy and every covered field. Reminders are sent to the farm accountant and the farm manager at 30 and 7 days before each deadline. When a loss event occurs, the system generates a checklist of required documentation, assigns tasks for field verification and yield sampling, and tracks completion until the claim package is submitted, ensuring that a covered loss doesn't become an unpaid claim because a deadline was missed or a document was missing.

Each animal in the herd is tracked by ID with a complete health record (vaccination dates, treatment history, weight gain, and breeding status) maintained automatically as events are logged via a mobile form in the field. When an animal is due for a scheduled vaccination or health event based on age or last treatment date, the livestock manager receives a task alert with the animal IDs, the protocol, and the required product. Withdrawal periods for treated animals are automatically flagged to prevent any medicated animal from being marketed before the withholding period has expired, a compliance issue with serious financial and legal consequences.

By pulling hyperlocal weather forecasts for each individual field, this automation automatically notifies the farm manager the moment conditions line up for spraying, planting, or harvesting, including narrowing windows before a forecast shifts. It separately sends an advance warning ahead of frost, heavy rain, or high wind that would affect any field work already scheduled, giving the crew time to adjust the plan instead of getting caught out in the field.

Tied to hour-meter readings on tractors and other equipment, whether logged manually or pulled from onboard telematics, this automation automatically schedules maintenance tasks at manufacturer-recommended intervals and orders the commonly needed parts ahead of the actual service date. Equipment stops going down in the middle of a critical planting or harvest window because maintenance was scheduled around the calendar instead of around the machine's actual usage.

As seed, fertilizer, and chemical inventory is drawn down and logged against each field's application, this automation tracks usage against what's actually needed for the remaining planned acreage for the season. The moment projected usage suggests the farm will run short before the season's done, it automatically flags a reorder need to the operations manager, instead of the shortage surfacing mid-application when it's too late to source more in time.

Based on data from ear tags, automated feed intake logs, or manual health checks entered by staff on a mobile app, this automation automatically flags any animal showing a reading outside the normal range, reduced feed intake, unusual movement patterns, for the herd manager to check personally. A minor issue gets caught and treated while it's still isolated to one animal instead of becoming a herd-wide problem discovered days later.

As harvest data is logged by field, this automation automatically compares actual yield against the season's projections, updates the available inventory figure for sale, and notifies the sales team of what's newly available to move. The field connects directly to the sales pipeline the moment the combine finishes a pass, instead of yield data sitting in a yield monitor for days before anyone manually updates what's available to sell.

Every time a drawing set is revised and issued, this automation logs the revision number, date, and scope of changes, notifies all consultants and subconsultants of the updated set, and archives the superseded drawings in a clearly marked "superseded" folder so no one builds from an outdated sheet. When a submittal is sent to the contractor for review, the system starts a tracking clock and sends a reminder at 7 days and 14 days if no review response has been received, because a submittal sitting unanswered is a submittal that becomes a schedule delay.

When a permit application is submitted to a reviewing agency, this automation logs the submission date, expected review clock, and assigned contact at each agency, and begins sending weekly status check reminders to the project engineer to follow up. When review comments are received, they are automatically logged with the date received, parsed into individual comment items, and assigned to the responsible discipline for response, with a deadline calculated from the agency's resubmittal window. No comment goes untracked, no agency deadline gets missed because the project engineer was focused on another submission.

Every week, this automation pulls billed hours by project and phase from the project accounting system, compares them against the contracted fee and the percent-complete estimate, and updates a live profitability dashboard the principal can review in minutes. Projects where fee burn is outpacing percent complete by more than 10% are flagged for a project manager conversation before the budget is exhausted. Projects approaching the contracted fee threshold trigger an automatic prompt to evaluate whether a supplemental services request is warranted, turning budget management from a monthly accounting exercise into a weekly operational decision.

Every RFI submitted by the contractor is automatically logged with the date received, the question posed, the discipline responsible for the response, and a deadline calculated from the contract's RFI response requirement. Overdue RFIs trigger an escalating sequence of alerts to the responsible engineer and then to the project manager. Approved change orders are logged against the original contract value, and the project engineer receives a running contract value summary that updates automatically with each executed change, so the total project cost picture is always current without anyone manually updating a log.

After each coordination model run, this automation parses the clash detection report, categorizes clashes by discipline pair and severity, assigns each clash to the responsible discipline lead with a resolution deadline, and distributes a summary to all coordination meeting participants before the next session. Unresolved clashes from the prior meeting that are still open are highlighted in red in each distribution, creating accountability without the BIM coordinator manually tracking every clash through its full resolution lifecycle across multiple consultants and subcontractors.

When a Request for Information comes in from a contractor on an active project, this automation automatically logs it along with its required response deadline, assigns it to the appropriate team member based on the discipline involved, and sends escalating reminders as that deadline approaches. A missed RFI response that could delay an entire construction schedule gets caught while there's still time to answer it, instead of surfacing only when the contractor calls asking why they haven't heard back.

When a drawing set is revised and marked final, this automation automatically distributes the updated version to every stakeholder on the project's distribution list, logs exactly who received which revision number and when, and flags anyone still confirmed to be working from an outdated set. Field crews and consultants stop building or coordinating off drawings that were already superseded two revisions ago.

This automation tracks every submitted permit application against the issuing jurisdiction's typical review timeline and automatically checks for status updates, notifying the project manager the moment a permit is approved, rejected, or flagged for additional information. Instead of someone manually logging into a municipal portal every few days to check, the status change reaches the project manager the same day it posts.

As a project reaches each contractually defined milestone, schematic design complete, design development complete, construction documents issued, this automation automatically generates the corresponding invoice based on the fee schedule written into the contract and routes it for internal review before it's sent. Billing keeps pace with actual progress instead of trailing weeks behind because someone forgot to generate the invoice when the milestone was hit.

For multi-disciplinary projects involving structural, mechanical, and other consultants, this automation tracks each consultant's deliverable deadlines and automatically sends reminders as each date approaches. If any consultant's deliverable is at risk of slipping, the project manager is flagged directly instead of discovering the delay only when the overall project schedule is already at risk of shifting.

Every new internet lead (from the website, third-party listing sites, or ad campaigns) is immediately acknowledged with a personalized text and email, entered into the CRM with a lead score, and assigned to the first available salesperson. If the salesperson hasn't made contact within two hours, the manager receives an escalation alert. Leads who engage are guided straight to a self-scheduling link for a test drive appointment, cutting the average time from inquiry to appointment and dramatically increasing the percentage of leads that ever reach the lot.

From the moment a vehicle is dropped off, the customer receives automated status updates at each stage of the repair process (vehicle received, inspection complete with recommended services, repair in progress, and vehicle ready for pickup) all via text without the service advisor having to make a single phone call. Vehicles that have been ready for more than four hours but haven't been picked up trigger a reminder text to the customer and a flag to the service advisor, keeping the service bay from becoming a parking lot.

Based on the mileage and service interval recorded at each visit, this automation calculates when each customer is due for their next oil change, tire rotation, or recommended service and sends a reminder text two weeks before that estimated date. Customers who haven't returned in six months receive a win-back offer automatically, and any customer who leaves a negative review online is immediately flagged for a personal call from the owner. The shop's relationship with every customer is actively managed even when the shop is buried in cars.

The moment a deal is desked, the system generates a complete checklist of every document required for that specific deal (based on the lender, product mix, and customer type) and sends it to the F&I manager's deal queue. As documents are received and uploaded, the checklist updates in real time, and the F&I manager knows exactly what's missing before they sit down with the customer. After signing, the system tracks funding status with each lender and alerts the accounting office the moment a deal is funded and ready to post.

Twelve months before the end of a fleet account's vehicle replacement cycle, the system automatically triggers an outreach sequence from the fleet rep, a summary of the account's current vehicles, a preview of upcoming model changes, and a link to schedule a renewal consultation. Fleet managers who engage receive a custom proposal generated from their account data; those who don't respond are re-queued for a phone call. Between cycles, the fleet rep receives alerts when a tracked account adds employees, expands locations, or posts about growth, signals that a fleet expansion conversation is timely.

Using the mileage and date logged at each visit, this automation calculates when every customer is due for their next oil change, tire rotation, or manufacturer-recommended service interval, and sends a reminder text two to three weeks ahead of that date, timed off actual mileage patterns rather than a flat calendar interval. Customers who don't respond within a week get a follow-up with a direct online booking link, cutting out the phone tag that eats up a service advisor's morning. Shops that used to rely on customers remembering to call back in for their 5,000-mile service now see a steady, predictable stream of return visits instead of hoping people show up on their own.

Once a technician finishes the diagnostic scan, this automation texts the customer a link to a digital estimate broken down by recommended, required, and deferred repairs, letting them tap to approve or decline each line item from their phone instead of waiting on a callback from the service advisor. Approved work is pushed straight back into the shop's work order automatically, and the moment the last approved item is signed off by the technician, the customer gets a ready-for-pickup text with the final invoice attached. Estimate approval time drops from hours of phone tag to minutes, and the service advisor's desk phone stops ringing every ten minutes with "is it done yet" calls.

Once a week, this automation runs every customer VIN in the shop's database against the NHTSA recall API and manufacturer recall feeds, flagging any vehicle with an open, unaddressed recall. Affected customers are automatically sent a text and email explaining the specific recall in plain language, along with a link to book the repair, which for many recalls is performed at no cost to the customer. What used to require someone manually checking VINs one at a time, or customers finding out about a recall only after an incident, now runs as a standing weekly check that keeps the shop ahead of safety issues and turns recall traffic into an opportunity to build trust instead of just processing a mandatory fix.

Using current market data (auction results, regional listing prices, and the dealership's own acquisition needs), this automation runs a monthly scan of past customers' vehicles on file and identifies anyone whose trade-in value has risen meaningfully since their last visit or purchase. Those customers receive a personalized text or email with an actual estimated trade-in offer for their specific vehicle, not a generic "we want your car" message, along with a link to schedule an appraisal. Customers sitting on a vehicle worth more than they realize get a concrete reason to come back in, and the dealership fills its used inventory pipeline with qualified trade-in leads instead of relying only on walk-ins.

As soon as a technician completes a multi-point inspection using a tablet-based digital inspection tool, photos and short video clips of any flagged issues (worn brake pads, a cracked belt, low tread depth) are automatically compiled with the technician's written notes into a single report and texted to the customer while the vehicle is still on the lift. Customers see exactly what the technician saw instead of taking a stranger's word for it over the phone, and they can approve or decline each recommended repair directly from the report. Approval rates on recommended work climb because customers are looking at their own worn brake pads instead of a verbal description, and the service advisor spends less time explaining and more time closing.

The moment a repair invoice is marked paid in the shop management system, this automation waits roughly two hours (enough time for the customer to drive away and settle in, not so long the visit feels distant) before sending a text asking for a quick Google review, with a direct link that drops the customer straight into the review form. Customers who report a low satisfaction score in the initial quick-rating question are routed privately to the shop owner instead of being pushed toward a public review, catching problems before they turn into a bad post. Review volume grows on a predictable weekly cadence instead of depending on the rare customer who thinks to leave one unprompted, and the shop builds a public track record it can point to when competing for new customers.

Customers automatically receive a reminder text or email the day before their scheduled service appointment and again the morning of, including drop-off instructions, the estimated service time, and a link to reschedule if the timing no longer works. Appointments that go unconfirmed after the second reminder are automatically flagged to the service coordinator so a quick phone call can catch a no-show before the bay sits empty. Shops running this sequence consistently see fewer missed appointments and a smoother morning drop-off line, since customers arrive already knowing what to expect instead of showing up unsure why they're there.

The system cross-references each customer's vehicle service history and estimated current mileage against manufacturer maintenance schedules and the NHTSA recall database, automatically notifying the customer when they're due for service or when an open recall applies to their specific VIN. The fixed ops director gets a weekly count of vehicles due that haven't yet booked, giving the service department a ready list to call instead of waiting for customers to remember on their own. Open recalls in particular get caught and resolved faster, closing a safety and liability gap that used to depend entirely on a customer noticing a mailed notice.

Customers are automatically texted at each stage of their vehicle's visit, the moment the initial inspection is complete, whenever additional recommended work needs approval with a direct link to approve or decline, and again the instant the vehicle is ready for pickup. Approvals captured by text flow straight back into the repair order, so the technician can start additional work within minutes instead of the car sitting untouched while a service advisor tries to reach the customer by phone. The service drive's phone lines get noticeably quieter once customers stop needing to call in just to check status.

Any inbound call to sales or service that goes unanswered automatically triggers a text to the caller within seconds, apologizing for missing them and offering a direct scheduling link, so a service inquiry or sales lead doesn't simply hang up and call the next dealership on the list. The BDC representative gets a same-day report of every missed call and whether it converted into a booked appointment, giving hard visibility into a category of lost business that used to disappear without a trace the moment the phone stopped ringing.

A website visitor who requests a trade-in value automatically receives their estimate within minutes, pulled from live market valuation data, along with a clear next step to schedule an in-person appraisal, instead of the lead sitting untouched until someone gets around to calling. Leads who open the estimate but don't book an appointment automatically get a follow-up call task assigned to the used car manager two days later. Trade leads handled this quickly convert to an actual appraisal appointment at a far higher rate than leads left to follow up on their own.

Leads who saved a specific vehicle search are automatically emailed and texted the moment a matching unit arrives on the lot, often before it's even fully listed on the website, giving serious shoppers first crack at a vehicle instead of finding out once it's already sold. The inventory manager gets a report of which saved searches are generating the most matches, useful signal for what to prioritize on the next buy, and a meaningful share of these alerts convert into a same-week visit since the customer is contacted at the exact moment their specific vehicle becomes available.

A review request goes out automatically a few hours after the repair order is marked picked up, timed to when the customer's experience with the service department is still fresh rather than a generic monthly blast sent to everyone regardless of when they were actually in. Customers who indicate a poor experience are routed privately to the customer experience coordinator instead of straight to a public review, while satisfied customers are routed directly to a one-click Google review link, keeping the public rating climbing while problems get caught and resolved before they go public.

Customers driving a loaner or rental vehicle automatically receive a reminder text as the scheduled return date approaches, and a second reminder if the vehicle hasn't been returned by the due date, instead of the loaner fleet slowly shrinking as vehicles quietly go overdue and untracked. The rental coordinator gets a live dashboard of every loaner out, who has it, and when it's due back, replacing a paper log or spreadsheet that only ever reflected reality if someone remembered to update it, and overdue loaner days drop sharply once the reminder is automatic instead of dependent on someone noticing.

A customer who starts but doesn't finish an online credit application automatically triggers a follow-up within the hour offering help completing it, either by text with a direct link back to the saved form or a call from a credit analyst, instead of the abandoned application simply vanishing into an analytics report nobody checks. Abandonment points are tracked automatically, so if customers consistently stall on the same field, income verification, for example, that friction point gets flagged for the finance team to fix. Recovering even a portion of these stalled applications turns a soft lead into a closed deal that would otherwise have gone nowhere.