Claude Cowork rollout
Deploy Claude Cowork across your team with the skills, permissions, and onboarding that make adoption real.
Claude Cowork changes how people work, but only when it has the right context and guardrails. Brainforge sets up Claude Cowork with your skills, tools, and review loops, so it becomes daily work instead of a pilot nobody opens.
In plain terms
Where teams get stuck
Claude Cowork is installed but nobody uses it because it lacks our context.
We don't know what it should be allowed to do vs. ask about.
There's no review loop, so quality and safety are unmanaged.
Teams reinvent setup instead of following one standard.
What we deliver
Deploy Claude Cowork across your team with the skills, permissions, and onboarding that make adoption real.
Wire your docs, repos, and operating rules into Claude Cowork so it answers with your context and acts with your standards.
Approval gates, scoped permissions, and review loops so Claude Cowork accelerates work without bypassing controls.
How deep it goes
The same delivery primitives (context, controls, and review) show up across every engagement.
Rollout, onboarding, and team setup so Claude Cowork fits how your team works.
Skills, docs, and operating rules wired in so answers carry your standards.
Scoped permissions and approval gates so Claude Cowork acts safely.
Review loops and quality checks so output stays trustworthy.
Usage tracking and success criteria so you see whether it helps.
What changes
Related ways to engage
Common questions
Engagements start with a scoped rollout sprint, so you pay for a bounded piece of work rather than an open-ended retainer. Most teams begin with one team or workflow, then expand once adoption is proven.
A first deployment with skills, context, permissions, and review typically ships in 2–4 weeks of sprint work.
Both, but sensitive actions stay approval-gated and scoped. We set permissions per system so Claude Cowork accelerates work without bypassing controls.
We deploy in the surface where work happens, wire in real context, track usage against success criteria, and iterate from feedback. Adoption is measured, not assumed.
Yes. We phase the rollout — pilot team first, then expand with the guardrails and playbooks that worked, measuring adoption and quality at each step.
How we work
We find the workflows where an AI coworker creates real leverage and clear ownership.
We wire skills, context, permissions, and review so adoption is safe and consistent.
We track usage and quality, then expand to the next workflow once it's proven.
Our Trusted Partners
In one working session we'll name what's broken, what's possible, and the first system worth building.