Tool-agnostic
We don't arrive with a product to justify. Sometimes the answer is an EffiZoom bot, sometimes another platform, sometimes a small custom piece. The problem picks the tool, never the other way around.
Step three · The build
AI that does real work, proven safe before it touches a live record.
By the time we build, the guesswork is gone. The audit found the workflow, the foundation made it readable, and the implementation is the straightforward part it was always supposed to be.
scoped to the build · Your AI Readiness Audit fee credits here.
What it is.
AI Implementation is where the readiness work pays off: the workflow the audit scored, automated for real. That might be renewals prep, service-ticket follow-up, client onboarding, meeting prep, or the reconciliation nobody enjoys. What it never is: a general-purpose chatbot dropped into the shop with a prayer.
Because the foundation is documented, the build isn't guessing at your rules. It follows the ones you wrote down, and when it hits a case with no rule, it stops and asks instead of improvising. That single behavior is the difference between AI that helps and AI that quietly amplifies chaos.
How we build.
Simulation-first
Every build dry-runs against your real data and proves it does zero damage before it touches a live record. You see exactly what it would have done before it's allowed to do anything.
Built on a readable foundation
We only build on processes that are documented well enough for the model to read. That's why the audit comes first, and why the builds that follow it actually hold up.
Who it's for.
- The audit came back 'ready' and named the workflow worth automating first.
- You want AI doing real work in the operation, not a chat window bolted on the side.
- You need the build to respect compliance, E&O exposure, and the fact that your clients are real people.
Pricing.
Implementations are scoped to the build, because "AI" can mean one bot on one workflow or a layer across the whole operation, and pretending those cost the same would be a lie. The audit's roadmap includes the scope, and your $750 audit fee comes off the price.
Questions
Before you ask.
How much does an AI Implementation cost?
It's scoped to the build, because AI can mean one bot on one workflow or a layer across the whole operation. The audit's roadmap includes the scope, and your $750 audit fee comes off the price.
Do I need the audit before you build?
The audit is the front door. If you haven't had it, that's where to start, and its $750 fee credits toward this build. If you have, tell us and we pick up from the roadmap.
Which AI tools do you use?
We're tool-agnostic. Sometimes the answer is an EffiZoom bot, sometimes another platform, sometimes a small custom piece. The problem picks the tool, never the other way around.
How do you keep the build from breaking things?
Every build is simulation-first. It dry-runs against your real data and proves it does zero damage before it touches a live record. You see exactly what it would have done before it's allowed to do anything.
What happens when the AI hits a case it doesn't have a rule for?
It stops and asks instead of improvising. Because the foundation is documented, the build follows the rules you wrote down, and that single behavior is the difference between AI that helps and AI that quietly amplifies chaos.
The build starts with the audit.
If you haven't had the audit yet, that's the front door, and its $750 fee credits toward this build. If you have, tell us and we'll pick up from the roadmap.