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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

Governance and consent gates

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.

Surfaces

Web is one build. Desktop, Slack, and Teams presence each mean a separate 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 consent gates and admin approval keep tool calls in bounds.

How work runs

Harnesses, placements, and why the thread stays the record.

Surfaces

One product across web, desktop, Slack, and Teams.

Plan a rollout

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