Kastling is a founder-led AI implementation partner. We audit the work, connect the systems you already use and build AI into defined workflows, with ownership agreed before we build.
Kastling started in that gap. Our founder's background is in consumer goods marketing and sales, on the agency side, where capable teams lost hours every week to handoffs between systems.
The fix was rarely another platform. It was understanding the task, connecting what already existed and deciding where a person still needs to decide. That is still the work.
See how an engagement runsWorking practices, not guarantees. Each one is written into the proposal.
We start with the people doing the work and the cost of the friction, not the technology.
The people who scope the work build and integrate it, with your team in the room.
Your people join discovery, testing and training from the first week, and we measure uptake.
Accounts, environments, data and code have named owners before anything is deployed.
We define what runs automatically, what gets reviewed and who approves.
Every engagement sets a baseline, a target and a way to measure the change. We never guarantee results.
The people in your discovery call are the people who build the work. Specialists join for defined parts and are named in the proposal.
Runs discovery, the audit, scoping and delivery, and is your single point of contact throughout. Background in consumer goods marketing and sales, on the agency side.
Owns architecture, model choice, integrations and deployment. Reviews every build before it reaches your team.
Cloud engineers with AWS and Azure experience, plus data and design specialists, for defined parts of the work.
No logos, testimonials or savings percentages here. What we can say plainly:
We build around the tools you already run. The interfaces on this site are illustrations, not a product.
You know which systems we touch, where your data goes and who can act on it, in your cloud accounts or ours.
A first engagement is narrow enough to build, measure and put into everyday use.
We describe intended outcomes and agree how to measure them. Nothing on this site is a case study.
Bring one recurring problem with a visible cost. We will tell you plainly what it needs: an integration, a workflow, new software or a clearer process.
