AI IMPLEMENTATION & CONSULTING
Put AI to Work
Inside Your Company.
You don't need hype, you need results. We work with companies to understand their workflows, then design, build, and deploy AI solutions that integrate with how you actually operate - not a demo, not a chatbot.
Not Just a Chatbot
We don't hand you a demo and walk away. We embed AI into how your company actually operates - from identifying where AI creates real value to shipping it into production and making sure your people use it.
Strategy
We audit your workflows and data, find the highest-ROI opportunities for AI, and build a practical roadmap - no vague "digital transformation" slideware.
Build
Custom AI solutions that plug into your existing tools: automation, copilots, knowledge systems, and models trained on your data.
Adoption
The hardest part isn't building AI, it's getting teams to use it. We handle deployment, monitoring, and training so the work actually sticks.
What We Do
End-to-end AI consulting -from understanding your workflows to deploying AI that runs your day-to-day operations.
AI Strategy & Assessment
We map your workflows, data, and systems to find where AI genuinely moves the needle. You get a prioritized roadmap with realistic ROI, timelines, and dependencies - before you spend a dollar building.
Workflow Automation
AI agents and automation that take over repetitive work - data entry, document processing, reporting, routing, and approvals. Integrated into the tools your team already uses every day.
Custom AI Solutions
Retrieval systems over your own knowledge base, copilots for internal teams, prediction models for operations - built on your data and designed to fit how your company works.
Deployment & Adoption
Production infrastructure, integration, monitoring, and team enablement. We don't ship a solution and disappear - we make sure it works at scale and gets used.
From Assessment to Deployment
The work we do: real AI implementation across company workflows.
Workflow Automation for Internal Operations
We assessed a company's day-to-day operations and identified the repetitive, manual work slowing teams down - data entry, document processing, and cross-system reporting. We designed and deployed AI agents integrated into their existing tools to handle those tasks automatically, with human review built in where it matters.
Internal AI Assistant Over Company Knowledge
A company with years of scattered documentation needed a way for employees to actually find what they need. We built a retrieval system over their knowledge base, connected it to the tools they use daily, and deployed it with monitoring and team training - turning institutional knowledge into an always-on assistant.
Our Team
The engineers behind the work. Real experience building AI and systems at scale.
Alyan Tharani
AI Solutions Engineer
Dallas, Texas
Software Engineer at G-Research building event-driven platform infrastructure. Previously shipped ML pipelines and digital quality systems at Procter & Gamble, and automated CRM integrations at Matrix One. AWS Certified Solutions Architect with a Computer Engineering degree from Texas A&M.
- G-Research - Software Engineer
- Procter & Gamble - SWE / Data Science Intern (Crest)
- Procter & Gamble - Digital Quality & Data Engineering Intern (Pampers)
- Matrix One - CRM API Software Developer
Texas A&M University - BS Computer Engineering (Minor: Mathematics), 2025
Kevin Johnson
AI Solutions Engineer
Minneapolis, Minnesota
Software Engineer at Amazon maintaining and modernizing the Java services, ETL pipelines, and ML models that forecast for 300+ warehouses. Hands-on across the full AI lifecycle - from training and tuning neural networks to deploying models into production. Computer Engineering from Texas A&M.
- Amazon - Software Development Engineer I
- Amazon - Software Development Engineer Intern
- Student Engineers' Council (TAMU) - Project Manager
- Texas A&M University - Teaching Assistant, CSCE 221
Texas A&M University - BS Computer Engineering, 2025
FAQ
How do engagements typically work?
We start with a discovery call to understand your workflows, data, and goals. From there, we scope a proposal - whether that's an assessment sprint, a project build-out, or ongoing advisory as your AI adoption matures.
What's your pricing model?
We offer flexible arrangements: project-based pricing for defined deliverables, retainer agreements for ongoing implementation and advisory, or hourly consulting for smaller scopes.
Do we need AI-ready data to get started?
No. Part of our assessment is figuring out what data you have, where the gaps are, and what's actually needed for each use case. Many high-ROI applications - automation, internal assistants - can start before you have perfect data.
What size companies do you work with?
From Fortune 500 companies to early-stage startups. The common thread is teams that want AI implemented in real workflows, not just proof-of-concept demos.
Do you consult or actually build?
Both. We do the strategy work to decide what's worth building, then we're the ones who build it, deploy it, and train your team. You get answers and working software.
How quickly can you start?
Depending on current availability, we can typically kick off an assessment within 1-2 weeks. For urgent needs, we do our best to accommodate faster timelines.
Ready to Put AI to Work?
Whether you're exploring where AI fits in your business or ready to deploy AI across your workflows - let's build it together.
Start a ConversationLet's Talk About AI
Have a workflow that should be smarter? Let's discuss where AI can make your company faster.