AI Workflow Architect

I architect AI systemsthat transform operations.

I help companies deploy Claude Code as production infrastructure. Previously led AI workflow implementation at Avasant (Fortune 500 consulting) and BairesDev (top 1% tech talent). I stay plugged into the latest AI developments so your team can deploy what works, fast.

Taking on consulting engagements

claude

Where I've Done This

AI deployment at enterprise scale.

Avasant

Head of Digital Operations

Global management consulting firm. Digital transformation + AI strategy across 50+ countries. Fortune 500 clients.

Led team of 4. Redesigned cross-team systems (CRM, pipeline management, internal ticketing) that transformed a support function into a 7-figure ARR contributor
Deployed AI workflows for research, ideation, and content production, increasing team efficiency 20%+
Built automation strategies that increased lead engagement 33%+

BairesDev

Team Lead, Client Operations

World Economic Forum-recognized nearshore tech firm. Deploys top 1% global talent for Google, Adobe, and Fortune 500s.

Led operations across a portfolio of 500+ clients simultaneously
Identified workflow bottlenecks and deployed AI systems to automate research, outreach, and reporting, increasing efficiency 30%+
AI-driven workflow improvements contributed to $100K+ MRR increase

Claude Code in Production

AI workflows I've deployed.

These are production systems handling real workload. Each one replaced manual processes and now runs autonomously.

◆ Autonomous Research Pipeline

A client completes an intake form. The agent autonomously researches their company, maps competitors, identifies personas, analyzes messaging gaps, and delivers a strategic brief. Connects to databases, external APIs, and notification systems. Zero manual steps.

Multi-system integration · Fully autonomous

◆ Proposal Automation System

Ingests company data, analyzes requirements, and generates detailed, personalized proposals tailored to each prospect. Directly attributable to over $20K USD in MRR.

Revenue-generating · AI-drafted proposals

◆ Multi-Agent Orchestration

Built a framework where specialized agents handle different domains (research, content, operations) with model routing across Claude Opus, Sonnet, and Haiku based on task complexity. Persistent memory across sessions.

3-tier model routing · Persistent memory

◆ MCP Server Development

Custom Model Context Protocol servers that extend Claude's capabilities: LinkedIn integration (TypeScript), image generation, and cross-platform data sync. Connects AI to your existing tools.

4 custom MCP servers · TypeScript + Python

Example: Multi-Agent Research & Proposal Pipeline

Intake Form / Trigger

→

Database Queue

→

Orchestrator Agent

│ dispatches parallel agents │

Research Agent
Web scraping + APIs

Competitor Agent
Market analysis

Compliance Agent
Requirements scoring

│ results merge │

Synthesis + QA

→

Report / Proposal

→

Slack / Docs / Email

How I Work

Systems thinking applied to AI.

I think in systems, not tasks. Whether it's a procurement pipeline, RFP response automation, or supplier discovery and scoring, the approach is the same. Map the system. Find the bottlenecks. Automate what can be automated. Measure everything.

I stay ahead so you don't have to. AI capabilities change weekly. I test new features, frameworks, and deployment patterns as they ship. When a new capability drops that's relevant to your operations, I can deploy it before your competitors even hear about it.

Team output multiplier

AI workflows that let your existing team produce 3x the output without adding headcount. I deploy this in my own practice: running multiple operations with a lean team and AI systems doing the heavy lifting.

End-to-End

Systems, not point solutions

I map the entire workflow from intake to output, identify every leak and bottleneck, then architect AI systems that handle the full pipeline. That's why the results compound.

Audit

Map your current workflows end-to-end. Identify bottlenecks, manual steps, and high-ROI automation opportunities. Prioritize by impact.

Architect

Design the AI system: define skills, agent scopes, model routing, data flows, and integration points with your existing tools and processes.

Deploy

Build and ship production workflows. Document everything as reusable SOPs. Train your team to operate and extend the systems independently.

Optimize

Monitor output quality, measure efficiency gains, and iterate. I track new Claude Code capabilities and deployment patterns as they ship, so your team is always running the latest workflows.

Track Record

Measured results. Not experiments.

$100K+

MRR Increase

AI workflow implementation across 500+ clients at BairesDev

30%+

Efficiency Gains

AI systems deployed across multiple teams and workflows

$1M+

ARR Contributor

Redesigned cross-team systems at Avasant, transforming a cost center into revenue

Before AI systems, I built performance systems: $10M+ in managed ad spend across 200+ brands. That background means I think in pipelines, conversion rates, and ROI. The same discipline that drives profitable ad systems is what makes AI deployments produce measurable results.

What People Say

From a former manager.

It was great to work alongside Ammeil. As an AI enthusiast, he brought many great ideas to the team to automate and optimize our current workflows. He also showed great critical thinking and a data-driven mindset to make the right decisions and help many customers.

Santiago Pereyra Ghiglione

Director, Campaign Management at BairesDev

About

Ammeil Ali

AI Workflow Architect

I spent a decade building performance systems across 200+ brands, then applied that same systems thinking to AI deployment at Avasant (Fortune 500 consulting) and BairesDev (Google, Adobe, Fortune 500s). Now I help companies deploy Claude Code as production infrastructure, turning AI from an experiment into a competitive advantage.

10+

Years

200+

Brands

MCP Servers

Model Tiers