AI consulting
Someone has to actually build it.
Most AI advice stops at the recommendation. The part that produces a return is the integration work: connecting the systems, handling what happens when a step fails, and putting a person in the loop wherever the output carries consequences.
What counts as a workflow
A workflow is one repeating process with a defined trigger and a defined result. Quote requests arriving by email and landing in your CRM with the fields already filled. Invoices read, coded to the right account, and queued for approval. Support tickets classified and routed before a person opens them. The test is whether you can describe the trigger and the outcome in one sentence. If you cannot, the first job is scoping, not building.
How it is priced
Pricing runs in three tiers, and the floors are real. A single workflow build sits in the $2,000 to $8,000 range across the market, multi-process implementations run $8,000 to $25,000, and ongoing support runs $1,000 to $5,000 a month. Our floors sit at the lower end of each because we are an infrastructure firm adding automation, not an agency whose only product is automation.
| Tier | Price | What changes |
|---|---|---|
| Pilot | from $2,500 | One workflow, two or three systems, human review at the decision point. Two to three weeks |
| Implementation | from $8,000 | Three to five processes, integration work, rollout and role training. Four to eight weeks |
| Managed automation | from $1,000/mo | Monitoring, failure handling, iteration, and model and API cost management |
The part most quotes leave out
An automation is not finished when it works, which is why the third tier exists. Model versions get retired, APIs change shape, token prices move, and the edge cases that never appeared in testing turn up in month three. Somebody has to own that. An automation nobody owns becomes an outage nobody expects, usually on the day it matters.
- Monitoring. Alerting when a run fails or output drifts, so you hear it from us instead of from a customer.
- Cost control. Token and API spend tracked against a budget, with model choice revisited as cheaper options become good enough.
- Iteration. The edge cases found in production get handled, and the automation gets better instead of quietly decaying.
- Change absorption. When a vendor deprecates an endpoint or your CRM changes its schema, the fix is our problem.
What we build on
The platform follows the problem, and we will tell you when the cheaper option is good enough. Most builds use one of four layers: the Microsoft stack where the data already lives, a model API where judgment is needed, an automation platform where the logic is mostly routing, and direct code where the integration is too specific for any of those.
- Microsoft. Power Automate, Copilot Studio, and the Graph API, which is usually the shortest path for a business already on Microsoft 365.
- Model APIs. OpenAI, Anthropic, and Google, chosen on fit and running cost for the specific task instead of on brand preference.
- Automation platforms. n8n, Make, and Zapier, which are the right answer when the work is connecting systems more than reasoning about content.
- Direct integration. Written and version-controlled, for the cases where a platform would add cost and fragility without adding capability.
What we will not do
We will not promise a headcount reduction, and we will not leave a model unattended on a decision with legal or financial consequences. Every build assumes a person reviews output before anyone relies on it, and that assumption is written into the agreement. We will also decline to automate a process that is broken, because automating a broken process gets you the wrong answer faster and at higher volume.
How this fits with managed IT
Managed automation is sold on its own and does not require a managed IT agreement. Plenty of clients start here remotely and never buy anything else. If you are already on a managed IT agreement, automation upkeep is absorbed into the Secure + AI tier instead of billed separately, which is usually the cheaper of the two paths once you are running more than a couple of workflows.
Questions
Common questions
How much does it cost to automate a business process?
A single workflow typically costs $2,000 to $8,000 to build across the market, and multi-process implementations run $8,000 to $25,000. Kildaris starts at $2,500 for a pilot workflow and $8,000 for a multi-process implementation, with ongoing managed automation from $1,000 a month.
How long does the first workflow take?
Two to three weeks for a pilot covering one process and two or three systems. Multi-process implementations run four to eight weeks. The variable is almost never the AI. It is how cleanly your existing systems expose their data.
Do we need to be a managed IT client?
No. Workflow automation and managed automation are sold standalone and delivered remotely. If you do hold a managed IT agreement, automation upkeep is included in the Secure + AI tier instead of billed as a separate retainer.
What happens when the AI gets something wrong?
Builds are designed so that a wrong answer is caught before it costs anything. That means human review at the decision point, confidence thresholds that route uncertain cases to a person, and logging that lets you audit what the system did and why.
Do you work with n8n, Make, or Zapier?
Yes, and we will tell you when one of them is a better answer than a custom build. We also work with Power Automate, Copilot Studio, and the OpenAI, Anthropic, and Google APIs directly. The platform is chosen on fit and running cost.
Can you automate something that touches accounting or payroll?
Yes, with review built in at every point where money moves. Those systems are also where we are most likely to recommend a smaller first step, because the cost of a wrong entry is higher than the cost of a person confirming it.
Next step
Thirty minutes, and you will know where you stand.
No pitch deck. We look at what you are running, tell you what we would do first, and you decide whether that is worth paying for.