We spent real money on our implementer. Is this telling us that was wasted?
The opposite. Getting a strategy out of the founder's head and into a system a company can run is genuinely hard, and most businesses never do it. You already own that asset. The only question this page asks is whether it will still be running in year eight — because a ten-year target pays out in year ten, and the upkeep between here and there is the part nobody was staffed to protect.
Do we need to already run EOS or Scaling Up?
No. If you run one, we plug into it — your language, your cadence, your scorecard. If you tried one and it faded, we restart it from what you already built rather than starting over. If you've never run one, the alignment chain gives you the useful core without the program overhead.
Ours went stale about two quarters ago. Is it too late?
That's the normal case, not the embarrassing one — it's what happens to almost every program that isn't staffed. A stale scorecard is still a scorecard: the definitions, the owners and the structure are the expensive parts, and they don't expire. We start from the last version that was true.
Does this replace our coach or implementer?
It doesn't have to, and usually it shouldn't. Coaches are good at the judgment layer — facilitation, accountability conversations, strategy. Kanvas takes the instrumentation layer: the scorecard, the chasing, the prep. Several of the best setups we've seen are coach plus agents.
We already have AI agents. Isn't this more of the same?
Only if they have a direction. The question we'd ask about your agents is the one we ask of ours: which KPI does each one exist to move, and is it moving? If that's hard to answer, it's exactly the problem this solves — often keeping the agents you've already built.
How is this different from an OKR or scorecard tool?
A tool still asks your team to feed it. Kanvas is a managed service: agents pull the numbers, run the processes and keep the cadence. Your team shows up to decide, not to update software.
What does it cost?
Plans scale with how much of the chain the agents run, starting small. The walkthrough ends with a concrete recommendation and a number — and if a framework-only fix would serve you better, we'll say so.