enterprise solutions
turn your team's expertise into ai agents they own and control
the problem
expertise doesn't scale. it disappears when people leave. it varies across teams.
knowledge loss
when senior people leave, years of institutional knowledge go with them. new hires spend months relearning what was already known.
scaling bottleneck
growth depends on a handful of key people. senior staff spend all their time reviewing instead of doing. you can't scale without diluting quality.
inconsistent quality
quality depends on who's assigned. decisions vary by individual. there's no shared memory of what actually works.
the solution
create ai agents that embody your company's expertise, methodology, and standards
how it works
capture expertise
the system captures decisions, documents, and conversations as your experts work. builds a 3-layer memory automatically.
train agents
agents learn from the captured expertise. they adopt your taste, judgment, and methodology. then execute with senior-level quality.
scale execution
junior staff execute with senior taste. higher throughput without quality loss. expertise survives turnover.
what you get
- junior productivity: weeks instead of months to senior-level output
- institutional memory: expertise survives employee turnover
- consistent quality: every project executes with senior taste
- governance & audit: permissions, policies, audit logs, compliance-ready
- you own it: agents, memory, outputs. not rented, owned.
enterprise features
built for regulated industries and large organizations
rollout
3–6 months from kick-off to a fully embedded agent stack
a dedicated team works alongside yours
every enterprise rollout is led by a small team of doobls experts — solution architect, agent engineer, and customer lead — paired with your subject-matter people. typical engagement runs 3–6 months from contract to production.
5 min intro call → discovery & scoping (weeks 1–2)
quick fit check on cal, then workshops with your team to map use cases, integrations, and success metrics
setup & expertise capture (weeks 2–8)
workspace and access provisioning, integrations, capturing decisions and documents into 3-layer memory
training & enablement (weeks 6–16)
role-based training for senior staff, agent operators, and reviewers — paired with on-site or remote sessions
production rollout (weeks 12–24)
staged rollout across teams, ongoing support, and quarterly reviews after go-live