Make the work
run itself.
Koifish works with businesses to improve processes and standard work through automation and AI integration.
Turn repetitive work into reliable systems.
Better workflows, powered by AI.
Workflow automations
Intake, scheduling, follow-up, reporting — the manual steps between a request and a result, removed and documented.
AI assistants / Agentic AI
Private assistants grounded in your schedules, SOPs, and customer history — answering in your voice, around the clock.
Document & data pipelines
Estimates, invoices, and records extracted, structured, and routed — without anyone retyping.
Web & systems optimization
The front door and the back office pointed at the same goal — faster speed-to-lead, stronger retention, and the data to prove it.
Every business is different, and every problem has a different solution. We work with your team to develop what's right for you — not a template.
Book a meetingOne current, four stages.
We walk your workflows with you and surface the highest-ROI automations, rated by risk.
Map the AI–human workflow: guardrails, access, and the handoffs that stay human.
Ship one workflow end-to-end with logging on day one. Measure, iterate, then scale.
A runbook your team can read, run, and change — with quarterly tuning baked in.
more likely to qualify a lead when you respond in 5 minutes instead of 30.
Lead Response Management Study (MIT)of employee time is spent on activities that today's AI could automate.
McKinsey, The Economic Potential of Generative AImore customer issues resolved per hour by support teams working with an AI assistant.
Stanford & MIT · NBER “Generative AI at Work”Case studies
Inbound at an enterprise fulfillment center ran on strong standard work, but middle managers still spent large parts of every shift on repetitive legwork: assembling reports, gathering context, chasing signals. AI tooling was layered onto the existing process to speed that repetitive work, and middle management saw a 43% operational improvement.
Read the case study →During the Palisades reconstruction, the builder's pipeline depended on finding and answering homeowners at the moment they were ready to act. Agentic AI research was put to work identifying and qualifying rebuild leads, and intake-to-estimate was rebuilt as one flow. The result was a dramatic increase in qualified leads reaching a scheduled walkthrough.
Read the case study →An academy grows on trials that convert and members who stay, and both depend on client relations work that ran through a busy front desk. The team implemented AI into the client relations workflows and class scheduling, so every trial gets followed up, lapsed members hear from the academy before the habit breaks, and membership grows on both ends.
Read the case study →Kokayi Lee-Johnson
As an operations manager at Amazon, I was intrigued by how much of the company's vast success came down to standard work, process, and the disciplined management of optimization — and I learned more inside that operation than anywhere else. Coming out of it, I became obsessed with automation: helping businesses grow by evolving their processes with today's technology.
Koifish is small on purpose: one practice, senior attention on every build, and standard work behind everything we ship.
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