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“We could build this ourselves” is a fair question. A team with engineering time, a model API key, and an open-source agent framework can assemble something that runs AI tasks. The question is not whether that’s possible. It’s what it costs to keep running, and what’s already built if you don’t.

What you take on by building your own

Approvals and governance

You design and maintain the approval flow yourself, and keep it current every time a new tool is added.

Model routing

You wire up provider APIs, choose models per integration, and update that wiring as providers and models change.

Connectors

Each connector is a custom integration your team writes, tests, and keeps working as the external system changes.

Web, desktop, and Slack

Web is one build. Desktop and Slack presence each mean another integration to design and maintain.

Sidekick vs. a built-in-house workbench

Sidekick is the governed workbench so your team doesn’t have to build and maintain one. It does not replace a bespoke internal service where that service is the product itself, or so specific to your business that it can’t be a shared, company-wide tool. Choosing Sidekick is a decision about a company-wide AI workbench, not a substitute for a system you’re building to sell or to run your core business on.

Where to go next

Governance model

How user and administrator approvals control sensitive actions.

How work runs

Choose a Harness and decide where Sidekick should run the work.

Web, desktop, and Slack

One product across web, desktop, and Slack.

Plan a rollout

Bring Sidekick to a team or the whole company with a staged plan.