Kanvas is the operating intelligence your business runs on — a managed AI operations service that connects your tools, teams, capital, and AI agents around the goals that matter, so the work moves in the same direction.

How does Kanvas work with my existing tools?

Kanvas connects to the tools you already use. We map where work is getting stuck, set up the AI workers and guardrails, and run it for you — no rip-and-replace and nothing for you to build.

Do I have to build anything?

No. Kanvas is a managed service. We handle diagnosis, configuration, go-live, and continuous operation. You stay in charge of the business while we do the building and running.

How is Kanvas priced?

Kanvas is custom-built to each business. We scope every engagement to your operations and goals across three layers — setting up the intelligence layer (unifying your knowledge base, connecting tools, and establishing the operational framework), building the capacity layer (deploying AI agents that drive your key processes), and running the outcome layer (measuring that the intended results are delivered while surfacing improvement and expansion opportunities each iteration). Pricing is tailored to that scope — no per-seat or per-task metering.

May 2, 2026Blog2 min read

Kanvas — April 2026 Update

kaiokenEngineering & operations

April was all about making Kanvas more operational. We focused on reliability, real-world workflows, and expanding how the platform connects to the sy...

In this article

April was all about making Kanvas more operational.

We focused on reliability, real-world workflows, and expanding how the platform connects to the systems businesses actually use. A lot shipped. Here’s what matters.

OpenClaw is now production-ready

This was the biggest theme of the month.

We made OpenClaw significantly more observable and resilient, with full telemetry across agents and infrastructure, better alerting for offline systems, and improved communication between agents.

Deployments are now safer, with recovery paths for common issues like Docker conflicts. On top of that, we introduced backups, rollback support, and the ability to migrate environments across servers.

OpenClaw now behaves less like an experimental layer — and more like something you can actually run.

AI workflows got more practical

We expanded how AI operates inside real engagement flows.

This includes smarter follow-up logic, better lead routing and handoffs, and more control over how workflows behave depending on the type of lead.

We also introduced AI-assisted engagement channels, making it easier to integrate AI directly into communication flows.

The shift here is simple: AI is becoming part of the workflow itself.

Voice workflows are now real

We deepened our integration with ElevenLabs to turn voice into an operational input.

You can now ingest transcripts from real calls, resolve leads using phone context, and trigger actions like scheduling, product sharing, and handoffs directly from voice interactions.

We also improved webhook reliability to better handle real-world payloads.

Voice is no longer just captured — it’s actionable.

More integrations, more coverage

We expanded Kanvas across key business systems and domains.

New additions include CardNet (payments), Lendflow (financing workflows), Zoho deal webhooks, and license plate extraction.

Each of these reduces the need for custom integrations and brings more of your operations into Kanvas.

Looking ahead

April was about strengthening the foundation.

Better observability, safer deployments, more structured workflows, and broader integrations all move Kanvas closer to its goal:

being the system where operations actually run.

In May, we’ll start opening the platform and showcasing the full power of the Kanvas nervous system, how it connects, orchestrates, and runs real operations end to end.

OpenClaw is now production-ready

AI workflows got more practical

Voice workflows are now real

More integrations, more coverage

Looking ahead

Stay updated