AI Has Changed the Equation
Discovery
Models ingest unstructured process docs and produce structured representations of how your organization actually works
Translation
Agents generate, configure, and instrument software against that representation at lower marginal cost than human engineering
Maintenance
Agents re-apply the same logic to keep customer-specific variants current as the product evolves (future-proof, evolves with your team and your business - link to Contextual Memory and Metamorphic Components)
The constraint that forced vendors to flatten their customers has been removed
The New Path Forward: Build-With
Build-With means you get enterprise-grade software shaped to your workflow, configured to your data, governed by your policies, and tuned to your tolerances at the speed and cost of buying, with the durability of a vendor relationship.
You
You know how your organization works. You set the policies, define the outcomes, and instrument what matters.
Kana
Deliver. Maintain. Evolve. When models improve, when regulations change, keeping your tailored application current is our job.
Build-With Breaks the Industry Patterns
Low-code shipped the engineering problem to you in a friendlier wrapper. Build-With keeps the engineering problem with us and uses agents to solve it.
Consulting produces one-off systems that rot. Build-With produces tailored software whose tailoring survives because the underlying chassis and our team maintain it.
Platforms ship the integration and orchestration burden to you. Build-With absorbs it so you don’t have to take that on.
The Kana Chassis: What Makes It Durable
Every enterprise AI deployment must solve these problems. No individual customer should solve them alone.
Policies and runtime checks for safe, compliant agentic behavior
Gets measurably better at your work over time
Right task, right model, right moment, managed cost
Agent quality, regression detection, audit trails
In terms your security team already uses
Ingestion from your systems of record, activation back out
Probabilistic outputs → stable, auditable signals
A vertical AI-native application without a chassis is, sooner or later, a consulting engagement in disguise
The Fork in the Road: Why We Didn’t Opt for An Agent Studio
Kana takes on the technical work and maintenance for our customers — combining our technology and domain expertise with your institutional knowledge.
An Agent Studio
Building With Kana
FAQ
Frequently asked questions and answers about agentic AI, agentic marketing, Kana's agentic AI marketing platform, integrations, and enterprise workflows.
Consultants build something, hand it over, and leave. What they built starts aging the moment they walk out. With Kana, the tailoring is maintained by the same team that built the underlying platform. When models improve or regulations change, that's our problem, not yours.
You can. Agent studios exist precisely for teams who want that control. The question is whether you want to own the maintenance liability that comes with every agent you build. With Kana, your team focuses on outcomes and policy while we handle the engineering surface.
Faster than a traditional implementation because we're not starting from a blank canvas. The Kana Chassis handles the infrastructure layer that would otherwise take months to build. Exact timelines depend on the complexity of your workflows, but we can walk you through what that looks like for your use case.
Governance and access controls are part of the chassis, not an afterthought. ABAC/RBAC, audit trails, and runtime guardrails are built in and expressed in terms your security team already uses.
No, and this is one of the core reasons the Build-With model exists. Keeping your application current as models evolve is Kana's responsibility, not yours.