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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
The problem

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.

What's at stake

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
What you get

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
Start here

AI Workflow Audit

$99–$500

Analyze your business, identify automatable manual processes, and map the highest-leverage opportunities.

View offer
How it works

  1. 01

    Structured interviews and workflow observation across intake, processing, review, and reporting.

  2. 02

    Future-state architecture with role clarity, handoff protocols, and QA logic at each stage.

  3. 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
FAQ

Who this is for, what to expect, and how the process works before you book.

Book a call to assess intake, QA, handoffs, and reporting before you add more tools.