Kīhei TechLet’s talk

Workflows + practical AI

Use AI where it helps. Keep people in control.

When leads, approvals, scheduling, documents, or handoffs keep bouncing between inboxes and memory, I map the real bottleneck and decide whether the right answer is a clearer process, an existing tool, ordinary automation, practical AI, or a focused app.

One bottleneck firstSimple before AIHuman approvalPrivacy + fallback included

Map the work first. Add AI only when it earns trust.

These packages separate a useful small fix from a real application. Every AI workflow needs approved inputs, a structured output, a human decision, a manual fallback, and one measurable outcome.

Start here when the gap is unclear

Workflow + AI Review

$350 total

A 75-minute working session focused on one recurring problem, followed by a practical map of where AI, automation, or a simpler process would actually help.

  • Current workflow and failure point
  • Remove, automate, AI-assist, or keep human decision
  • Data, privacy, risk, and owner-effort boundaries
  • Credited to a $1,000+ build booked within 30 days

When a generic tool is not enough

Custom App or Operations Tool

From $3,500

A purpose-built first version for a defined internal or customer workflow that needs its own interface and data model.

  • One core workflow and success measure
  • Purpose-built interface
  • Server and data design as required
  • Deployment, testing, and handoff plan

Third-party subscriptions, messaging fees, payment fees, data import, hardware, regulated-data requirements, additional workflows, and ongoing support are separate. A “from” price becomes a fixed written total only after the workflow and dependencies are confirmed.

Some work fits AI. Some should stay exact and predictable.

The first job is to tell the difference. AI is useful for messy language and patterns. Payments, permissions, identity, and exact records need deterministic rules.

Good AI fits

Summarize inquiries, extract approved document fields, classify requests, draft follow-ups for review, or search an approved knowledge base.

People approve the outcome

AI can prepare or recommend. A person approves customer promises, prices, appointments, diagnoses, and other consequential actions.

Exact systems stay exact

Payments, availability, permissions, identity, and required records use validated rules, clear failures, and an evidence trail.

Existing tools come first

If a reliable configuration solves the problem, use it. AI and custom code are reserved for gaps a normal tool cannot close cleanly.

What does your team keep doing twice?

Describe one repeated handoff or failure point. I’ll tell you whether to remove it, automate it, use AI carefully, or leave it with a person.