A coordinated system of specialized AI agents that connects to your existing platforms, analyzes your data continuously, and delivers intelligence your teams can act on. Across every department. On every decision cycle.
The average enterprise runs 130+ SaaS tools. Data sits in CRMs, ERPs, spreadsheets, call recordings, survey platforms, financial systems, and HR portals. Teams spend 30-40% of their time gathering information, not using it. By the time analysis reaches a decision-maker, the moment has passed.
The AI Fleet is a system of purpose-built agents, each specialized for a different type of analysis, coordinated by a human orchestrator who understands your business. The agents ingest raw data from your existing systems. They analyze, score, structure, and surface what matters. The orchestrator interprets, prioritizes, and delivers.
Each agent has a defined role. It knows what to look for, how to score it, and what format to deliver. They run in parallel. Their outputs converge into a single intelligence layer your team can trust.
The same fleet architecture applies regardless of business function. The agents adapt to the data, the domain vocabulary, and the KPIs that matter to each team.
This is not a product you install. It is a managed intelligence service. We connect to your data, deploy the right agents, and deliver structured intelligence on a cadence that matches your decision cycles.
We run The Diagnostician against your current state. Where is your data? How mature are your processes? What gaps exist? You get a scored assessment with prioritized recommendations before a single agent is deployed.
We connect to your systems, configure the relevant agents, build the data pipeline, and start delivering intelligence. The Analyst and The Listener run continuously. The Strategist synthesizes on cadence.
Every insight has a feedback loop. We track whether recommendations were adopted, measure impact against baseline, and continuously tune the fleet to improve accuracy and relevance.
A modern, composable stack. No monolithic platforms. Each layer is best-in-class, purpose-selected, and designed to scale independently.
| Layer | Technology | Role |
|---|---|---|
| AI Reasoning | Claude (Anthropic) | Agent reasoning, scoring, report generation, multi-pass analysis |
| Research | Grok (xAI) | Real-time market research, competitive benchmarking, trend analysis |
| Voice Intelligence | Deepgram | Speech-to-text transcription, speaker diarization, audio analysis |
| Data Platform | Microsoft Fabric | OneLake storage, medallion architecture, DirectLake dashboards |
| Application Layer | Supabase | PostgreSQL database, real-time APIs, row-level security |
| Orchestration | n8n + Make.com | Agentic workflows, API orchestration, webhook pipelines |
| Visualization | Power BI | Interactive dashboards, DirectLake models, embedded analytics |
| Delivery | Gamma + Netlify | Presentations, client portals, assessment applications |
| Security | Entra ID + Purview | Identity management, MFA, data classification, lineage |
The AI Fleet is running today. Producing intelligence for real organizations, across real data, on real decision timelines. The question is not whether AI will transform how you use data. The question is whether you deploy it as isolated experiments or as a coordinated fleet.
Every engagement starts with understanding your current state. No boilerplate. No shelfware. Pick the depth that matches where you are.
25+ years building and transforming customer experience operations across six industries. From frontline contact center operations to enterprise center of excellence design, Joe has led programs for hundreds of clients spanning financial services, healthcare, technology, retail, telecommunications, and insurance.
His practice sits at the intersection of CX strategy and applied technology. Where most consultants offer frameworks, Joe builds the operational infrastructure: AI readiness assessments powered by real data, process automation grounded in actual workflow analysis, and intelligence systems that work in production.
The AI Fleet is the culmination of that operator background. Every agent, every pipeline, every recommendation is tested against reality, not theory. The fleet exists because Joe spent decades watching organizations drown in data while starving for insight, and decided to build the system that fixes it.
Whether you are exploring AI for the first time or scaling an existing program, a conversation is the best place to start.