Reach them by breaking each one into…
Rally a team around each goal — the group that's accountable for it.
Give the team one clear outcome that ladders up to the company's.
The work that moves the goal — and the company — forward.
Leaders set company goals — the outcomes the whole company steers by. Teams can carry several goals of their own, but each one is visibly tied to the company goal it serves. So the Total View reads both ways: the goals that matter and the teams driving them — including the company goals no team has picked up yet.

You can’t automate what you can’t see. Most companies don’t have the data to automate yet — so start by making it. Just by running your goals and actions in TGAfocus, you build an honest, structured record of how your company actually reaches its goals. That’s the exact foundation automation needs. Let the record build, then switch on automation when the patterns are clear — to reach more goals, faster.
Run your goals and actions in TGAfocus. Every move lands in an append-only record automatically — no extra busywork.
Honest signals surface which teams reach their goals and where work stalls. You learn how your company actually delivers.
With the record in place, switch on Claude to take on the repeatable work — reaching more goals, and reaching them faster.
TGAfocus works completely without AI. When you’re ready, a team leader can switch Claude on for a specific team — nothing runs behind your back, and you can turn it off anytime. Here’s what it does once enabled.

A short, honest recap of a team's goals, progress, and blockers.
Flags actions that have stalled while their goal is at risk.
Proposes a starter set of actions the moment you set a new goal.
Give Claude an action and it delivers a draft for your team to review.
@mention Claude in any action's discussion to get help in context.
Claude is always labeled AI and never marks work done. People stay in control.
For companies with strict data or AI requirements: deploy TGAfocus in your own cloud or on-prem, connect your own LLM (Azure OpenAI, Bedrock, or a self-hosted model), and optionally white-label it as your own. Includes SSO/SAML, data residency, and a dedicated support agreement.
API & MCP access — connect your work graph to your own AI tools — is on the roadmap.