Solutions
Fix the operational backbone before you add AI
Intake, QA, moderation, handoffs, and reporting should run on systems, not memory. I map the backbone first, then automate where it reduces friction.
Currently at KAIA — building AI systems and platforms
- 3 · Shipped case studies
- 40+ · Pages migrated to Next.js
- Enterprise · Learning & platform work
- AI pipelines · Content & workflow automation
What worked at ten clients does not work at fifty. Intake is inconsistent, handoffs are verbal, and QA depends on who is paying attention that day.
Inconsistent intake
There is no standard process for how work enters the system, so quality varies from day one.
Verbal handoffs
Role transitions rely on whoever is available, not documented protocols anyone can follow.
Reactive QA
Quality control is reactive instead of structured, so errors reach the next stage before anyone flags them.
Without operational design
- Reporting rebuilt from scratch every month
- Onboarding new team members means losing institutional knowledge
- Single points of failure when key people are unavailable
- AI tools added to broken processes that stay broken
With a mapped backbone
- Clear ownership and structured handoffs at every stage
- QA logic that flags issues before they reach clients
- Reporting pipelines assembled from live operational data
- Documentation that survives staff turnover
The foundation your team can actually operate, not a process diagram that nobody follows.
- Current-state operational map
- Future-state system design with role clarity and handoff protocols
- Implementation roadmap staged by impact and feasibility
- Automation and AI recommendations where they reduce friction
AI Workflow Audit
$99–$500
Analyze your business, identify automatable manual processes, and map the highest-leverage opportunities.
View offer- 01
Structured interviews and workflow observation across intake, processing, review, and reporting.
- 02
Future-state architecture with role clarity, handoff protocols, and QA logic at each stage.
- 03
Staged implementation plan prioritized by impact, feasibility, and team readiness.
Good fit if you are
- Growing agencies with inconsistent intake and handoff processes
- Creator platforms with moderation and QA at volume
- Enterprise teams with training-heavy operational workflows
Creator acquisition and content moderation systems built for high-volume pipelines.
Book a call to assess intake, QA, handoffs, and reporting before you add more tools.