AI automation · for Marketing + creative agencies
AI automation for agencies.
Agencies sell hours. Every hour you can pull out of internal ops (status reports, deliverable QA, client onboarding, project setup) is margin. We build the automation layer that gives your team back the hours.
What\'s painful today
- 1.
PMs spend half their week on status reporting, scope tracking, and meeting prep instead of strategy
- 2.
New client onboarding is a 5-call manual process every time
- 3.
QA on deliverables (copy, design, video) happens at the last minute and bottlenecks shipping
- 4.
Internal proposals, scoping docs, and SOWs eat senior time that should be on client work
What we build for marketing + creative agencies
AI client onboarding flow
New client signs → AI agent runs them through intake, collects assets, sets up tooling (Slack channel, Notion workspace, project board), schedules kickoff with the right people.
Impact: Onboarding time: from 2 weeks to 2 days. PM time saved per client: ~6 hours.
Status report + status update generator
Pulls from project management tool + git + design tool + Slack → drafts weekly client status update for PM review + send.
Impact: PM hours on status reporting: ~80% reduction. Reports are more consistent and on-time.
Deliverable QA agent
Copy / brand / design / video drafts → AI agent runs first-pass QA against brand guidelines, client preferences, and project brief before human review.
Impact: QA bottleneck shrinks. Senior creative time saved. Client revision rounds decrease.
Proposal + SOW generator
New inbound or upsell opportunity → agent drafts proposal + SOW from your library + meeting notes + client context.
Impact: Sales cycle compresses. Senior time on proposals decreases. Win rate often goes up due to faster turnaround.
Questions
Can the system white-label outputs for clients?+
Yes — agency engagements typically include white-labeling. Outputs come from your domain, your branding, your voice. Clients don't see Solidus.
What about multi-client data isolation?+
Built in. Each client workspace is isolated by design — no cross-client data leakage. Same architecture pattern we use for SaaS multi-tenant systems.
Can junior agency staff operate the system?+
That's a design goal. Dashboards are built for non-technical operators, not for the engineers who built the system. Documentation + training are part of every engagement.
Other industries we work with