Kenneth Yepez Implementation

AI workflow implementation for founders and operators

Turn manual business workflows into production AI systems.

I help teams scope, build, deploy, and verify AI-assisted workflows for sales, support, CRM, reporting, internal tools, and customer operations.

Mi Nutricionista

Mobile patient workflow: dashboard, chat, food diary, photo/text logging, and AI meal estimates.

WhatsApp CRM

Inbound classification, contact upsert, conversation logging, inbox UI, and follow-up workflow.

Titan Agent Fleet

Agent operations layer with delegation, browser automation, vault use, deployment checks, and verification SOPs.

OutcomesLess manual opsFaster follow-upInternal toolsAI executionProof

What the work turns into.

Clear path, shipped system
Manual work becomes a system

Turn inboxes, CRM follow-up, reports, customer ops, and repeated admin work into a software-backed workflow.

AI gets tied to operations

Use agents and LLM APIs where they create leverage: classification, drafting, routing, enrichment, review, and execution.

The result ships

Build the UI, backend workflow, agent loop, deployment, smoke checks, and handoff so the system can actually be used.

Implementation offers.

Start with a shipped workflow
2-4 weeks

AI Workflow Implementation Sprint

Best for: Founders and operators with a manual workflow that should become a working AI-assisted system.

Deliverables: Workflow scope, product UI, backend workflow, agent/API integration, deployment, smoke tests, and handoff notes.

3-5 days

Workflow Audit

Best for: Teams that need clarity before building: what to automate, what to avoid, and what the first sprint should ship.

Deliverables: Workflow map, bottleneck diagnosis, automation opportunities, risk list, and implementation roadmap.

Monthly

Automation Retainer

Best for: Teams that want to keep expanding AI workflows after the first implementation is live.

Deliverables: New workflow builds, iteration, monitoring, QA, prompt/context tuning, integrations, and production support.

Proof behind the offer

The offer is backed by shipped systems, not AI theory.

The portfolio contains mobile app screens, SaaS workflows, CRM automation, case studies, build checks, screenshots, and public deployments.

01Mi Nutricionista mobile patient app
02nutricionista.ai SaaS workflows
03WhatsApp CRM automation
04Titan Agent Fleet operations

Start with the workflow

Bring the process that wastes time. I will turn it into a shipped AI workflow.

Best fit: founders, operators, and lean teams that need implementation, not more AI strategy.