Hand the busywork to AI. Keep a person on the decisions.

AI workflow automation means one repeating job with a clear trigger and a clear result, handled by software with a person approving anything that matters. A quote request arrives by email and lands in your CRM with every field filled. An invoice gets read, coded and queued for approval. A support ticket gets sorted and routed before anyone opens it. If you can describe the trigger and the result in one sentence, it is a good candidate.

Start with the job your team repeats most often and complains about loudest, as long as a mistake is easy to catch. Good first picks free up hours every week and have a person reviewing the output before it goes anywhere. The same four kinds of work show up in almost every business.

• Intake and sales.Web forms, emailed requests and calls turned into complete records, quotes drafted, and follow-ups sent before a lead goes cold.
• Finance.Invoice reading and coding, purchase order matching, duplicate bill checks and payment reminders.
• Operations.Scheduling, ticket and request routing, status updates to customers and paperwork between systems.
• Reporting.Weekly numbers pulled from three systems into one summary, written in plain English.

AI workflow automation works in every industry where people repeat the same steps. Open an industry for the first four automations we would build there, with example savings, and the IT that has to be right underneath them.

We also build live dashboards that put your CRM, accounting and help desk numbers on one screen, with an AI-written summary of what changed waiting each morning. Managers stop chasing spreadsheets and start the day knowing which quotes stalled, which invoices are late and how many hours automation gave back. A dashboard is scoped and priced like any automation build, based on how many systems it connects.

AI automation at Kildaris is priced in three tiers with published starting points. Published 2026 agency pricing guides put a single workflow build at roughly $2,000 to $8,000 and a multi-process project at $8,000 to $25,000, and ongoing support commonly runs $300 to $5,000 a month depending on size. Our starting points sit about 10 to 15 percent under the middle of those ranges because we already run the IT underneath, so less of each project goes to discovery. The comparison page shows every figure and source.

We do, under managed automation. AI vendors retire models, APIs change, usage prices move, and odd cases show up in month three that never appeared in testing. An automation with no owner eventually breaks on a busy day, so the monthly tier covers the upkeep.

• Monitoring.Alerts when a run fails or the output drifts, so you hear it from us first.
• Cost control.API spend tracked against a budget, and models swapped when a cheaper one does the job.
• Improvements.Odd cases found in real use get handled, so the automation gets better over time.
• Vendor changes.When a provider changes an API or your CRM changes its fields, we fix it.

We pick the platform that fits the job and costs the least to run, and we tell you when the cheap option is good enough. Most builds use one of four layers.

• Microsoft.Power Automate, Copilot Studio and the Graph API, usually the shortest path for a company on Microsoft 365.
• Model APIs.OpenAI, Anthropic and Google, chosen per task on quality and running cost.
• Automation platforms.n8n, Make and Zapier, when the job is mostly moving data between systems.
• Custom code.Written and version-controlled, for integrations too specific for a platform.

We will not promise headcount cuts, and we will not leave AI unsupervised on a decision with legal or financial weight. Every build has a person reviewing output before anyone relies on it, written into the agreement. We also turn down broken processes, because automating one just produces wrong answers faster.

No. Automation is sold on its own and delivered remotely, and plenty of clients never buy anything else. If you do have a managed IT agreement, the AI administration add-on covers automation upkeep, which usually costs less once you run more than a couple of workflows.