AI Automation Consultancy

Hennessey Agentic

We build AI systems that run your business operations so you can focus on growing them.

Multi-agent automation. Intelligent workflows. Enterprise methodology.

Production-ready agent systems, designed and shipped.

About

Enterprise methodology meets AI engineering.

Hennessey Agentic builds custom AI automation systems for businesses that are ready to replace manual processes with intelligent agents. We do not sell chatbots. We build multi-agent systems where specialized AI workers handle distinct parts of your business workflow and coordinate with each other autonomously.

The result is a system that runs continuously, improves over time, and gives your team back the hours they are currently spending on repetitive work.

Our approach comes from enterprise software implementation, where structured methodology is everything. Every engagement follows a proven framework: discover what your business actually needs, design the right architecture, build in iterative phases, test rigorously, and deploy with confidence.

This is not a science experiment. It is engineering.

Services

What We Build

Multi-Agent Workflow Systems

AI systems where multiple specialized agents work together to handle complex business processes. Each agent has a defined role and they coordinate through an orchestration layer that keeps everything on track.

Intelligent Document and Data Processing

AI pipelines that ingest your documents, spreadsheets, PDFs, and databases, then extract, analyze, and act on the information. Stop copying data between systems manually. Let agents handle it.

Custom Business Automation

End-to-end automation of the processes eating your team time. Lead qualification, report generation, data enrichment, content workflows, customer onboarding. If it is repetitive and rule-based, we can automate it.

AI-Powered Internal Tools

Dashboards, monitoring interfaces, and internal applications that let your team interact with AI systems without needing technical expertise. Built for real users, not developers.

Process

Our Process

  1. 01

    Discovery

    We start by mapping your current workflow. Every step, every handoff, every pain point. No assumptions. This is where we identify exactly where AI creates the most leverage for your business.

  2. 02

    Architecture

    We design the agent system: how many agents, what each one does, how they communicate, what data they need, and how the whole system integrates with your existing tools. You review and approve before a single line of code is written.

  3. 03

    Build and Iterate

    We build in focused sprints. You see working functionality within the first week. Each sprint adds capability, and you provide feedback at every stage. No disappearing for months.

  4. 04

    Deploy and Monitor

    We deploy to your infrastructure (or ours), monitor for the first 30 days, and ensure everything runs as designed in production, not just in a demo environment.

Selected Work

Our Work

Architecture diagram of a four-agent discovery system orchestrated by a LangGraph state machine
Professional Services / Enterprise

Multi-Agent Discovery System

Built a 4-agent orchestration system that automates the client discovery process for a professional services firm. The system walks customers through a structured questionnaire, captures their requirements, cross-references everything against best practices, and generates deliverable documentation automatically. What used to take about 40 hours of manual work now takes roughly 4 hours of review time. Deployed on AWS with Docker containerization.

Architecture diagram of an AI health analytics platform with six input sources feeding a central engine and three output streams
Health and Wellness

AI-Powered Health Analytics Platform

Designed and built a health tracking platform that pulls together data from over 15 sources including weight, sleep, exercise, supplements, bloodwork, and medication schedules. The system uses AI to analyze trends, flag anomalies, and provide personalized recommendations based on the user's specific health protocol. Clean dashboard UI with persistent data storage across sessions.

Architecture diagram of a sports analytics prediction engine showing data feeds flowing into processing, weighted modeling, and confidence-scored predictions
Sports and Entertainment

Intelligent Sports Analytics Engine

Built an AI recommendation system that analyzes historical performance data, statistical models, and real-time variables to generate informed sports predictions. The system processes multiple data feeds, applies weighted analysis models, and presents recommendations through an intuitive interface with confidence scoring and reasoning behind each call.

Results

Results

40 hrs to 4 hrs
Discovery process automated
15+ Sources
Integrated into unified analytics
4 Agents
Coordinating in production on AWS
24/7 Operation
Continuous monitoring and alerting

Contact

Ready to automate?

Tell us about the process that is eating your team time. We will tell you honestly whether AI is the right solution, and if it is, we will show you exactly what the system looks like.

contact@hennesseyagentic.ai