From AI strategy
to production.
Microsoft-only stack. Florida-focused. Tell us your pain and we deliver an end-to-end agentic AI proposal in 5 days — engineered on Microsoft Foundry and Microsoft Agent Framework 1.0 (GA). Code-first, production .NET and Python. Built for the Frontier Firm.
- Microsoft MVP in AI
- Tampa Bay area, FL — working globally
- 90% of the F500 touch M365 Copilot. Workplace conversion is 35.8%. We close that gap.
Tell us your pain.
Proposal in 5 days.
You don't need to know the agent topology, the model choice, or the architecture. You need to know the problem. We come back with a complete end-to-end technology proposal — in business days, not in months.
- 01Day 0
You share the pain
Fill the discovery brief on /contact. Tell us the workflow, the cost, the timeline pressure. No NDA needed at this stage.
- 02Days 1–3
We map it to agents
Our team maps your pain to agentic patterns on Microsoft Foundry — architecture, integrations, governance, evaluation.
- 03Day 5
End-to-end proposal in your inbox
A complete technical proposal: scope, architecture, sprint plan, investment, deliverables, KPIs. Ready for your review.
From pain to production proposal.
In five business days.
What happens between you sending us your problem and our team shipping back an end-to-end Microsoft AI proposal — visualized.
Your pain
Workflow · cost · timeline
Triage
Maps pain to agents
Architect
Foundry design
Engineer
Proposal authoring
Proposal
End-to-end · in your inbox
- Day 0
Your pain
Workflow · cost · timeline
- Day 1
Triage
Maps pain to agents
- Days 2–3
Architect
Foundry design
- Day 4
Engineer
Proposal authoring
- Day 5
Proposal
End-to-end · in your inbox
Same architectural patterns we use to build production agents — turned inward, on every proposal we author.
No demos. Agents in production.
Most enterprise AI projects stall in pilot. We close that gap with a strategy-first, engineering-grade approach — and the Microsoft AI stack to back it up.
Strategy-first
We start with the business case, not the model. Every engagement begins with measurable outcomes — costs reduced, hours recovered, revenue unlocked.
Production-grade
Governance, observability, and cost optimization built in from day one. Your agents don't just work — they're auditable, monitored, and FinOps-ready.
Microsoft-native
Deep expertise across Microsoft Foundry, the Microsoft Agent Framework, MCP, Azure AI, and GitHub Copilot. We've been shipping on the Microsoft stack for over a decade.
Multi-agent workflows on Microsoft Agent Framework 1.0.
The production convergence of Semantic Kernel and AutoGen, shipped GA on April 3, 2026 under the Microsoft.Agents.AI namespace. Native MCP and A2A. Full .NET and Python parity. Jextex ships on it from day one — including upstream contributions.
Multi-agent orchestration
Coordinator + specialist agents with native handoffs, shared state, and structured output — the pattern proven in production at Microsoft scale.
Foundry Agent Service (GA)
Deploy as managed Foundry Agent Service workloads (GA March 2026) with private networking, MCP auth, Voice Live, Agent 365 governance, and OpenTelemetry tracing.
MCP-first integration
Model Context Protocol as the standard tool/data interface. Reuse the same MCP servers across IDEs, Copilots, and your production agents.
Polyglot · .NET + Python
Same framework, both stacks. Reuse your existing teams instead of rebuilding everything in one language.
from agent_framework import ChatAgent, Workflow
from agent_framework.azure import AzureAIAgentClient
# Specialist agents
researcher = ChatAgent(
name="researcher",
instructions="Research the topic on Microsoft Foundry...",
tools=[mcp_search],
)
writer = ChatAgent(
name="writer",
instructions="Turn research into a customer-ready brief...",
)
# Multi-agent workflow
workflow = (
Workflow().edge(researcher, writer)
.build()
)
async with AzureAIAgentClient():
async for event in workflow.run_stream("Latest on MCP"):
print(event)Production-ready · Foundry Agent Service · MCP-compatible
The 2026 stack we ship.
One canonical Microsoft AI architecture across every engagement — from Agentic AI pilots to AI Operations. Boring on purpose. Production-ready by default.
Your business systems
- M365
- Dynamics 365
- Industry SaaS (PMS · EHR · Claims · ERP)
- Custom apps · Web · Mobile
Microsoft Foundry Agent Service (GA)
- Triage agent
- Architect agent
- Engineer agent
- Reviewer agent
- Multi-agent orchestration (Workflow API)
Foundry Model Router
- GPT-5.5 / 5.4 Mini
- Claude Opus 4.7 / Sonnet 4.6
- Gemini 3.1 Pro · Gemma 4
- Grok 4.2
- MAI-Voice-1 · MAI-Image-2 · MAI-Transcribe-1
- Foundry Local: Phi-4 · open-weight
Zero Trust for agents
- Agent 365
- Microsoft Entra Agent ID
- Agent Governance Toolkit (OWASP agentic Top 10)
- Purview DLP · Content Safety
Grounded generation + LLMOps
- Azure AI Search (hybrid · agentic retrieval)
- Microsoft Fabric (semantic models)
- Foundry Evals · PromptFlow
- OpenTelemetry tracing
Same architecture · 5 industries · production-grade
How we help
From boardroom strategy to production agents — five pillars covering the full AI lifecycle on the Microsoft AI stack.
AI Strategy & Advisory
Identify where AI creates real business value.
Readiness assessments, use-case discovery, AI roadmaps, and Responsible AI governance for boards and C-suites.
Agentic AI Solutions
Autonomous agents that execute — not just chat.
Custom and multi-agent systems on the Microsoft Agent Framework, Foundry Agent Service, and MCP — production-grade orchestration, evaluation, and observability.
GenAI Engineering
RAG, document intelligence, and conversational AI in production.
Enterprise search on Azure AI Search, document processing pipelines, and grounded GenAI applications — engineered to scale.
Copilot Adoption & DevAI
Productivity transformation for your business and your engineers.
M365 Copilot rollout, GitHub Copilot enablement (Chat, Workspace, Coding Agent), AI-augmented SDLC, and custom developer agents.
AI Operations & Optimization
Keep your AI running, secure, and cost-efficient.
LLMOps, agent observability and evaluation, AI FinOps, security & red teaming, and managed AI services.
Real agents. Real businesses.
The agentic patterns we deploy across mid-market and enterprise clients — every one of them in production, not in a slide deck.
Multi-agent customer service
Coordinator + specialist agents that triage, resolve tier-1 tickets, escalate intelligently, and post-call summarize. Native Microsoft Foundry deployment.
Document workflow agents
Intake, classify, extract, validate, route — across invoices, contracts, claims, and operational paperwork. Human-in-the-loop where it matters.
Research & discovery agents
Multi-step agentic research over your private knowledge plus the open web — grounded answers with citations, ready to act on.
Internal knowledge agents
Conversational access to SharePoint, OneDrive, Confluence, and shared drives — powered by Azure AI Search and structured retrieval.
Compliance & risk agents
Continuous monitoring, policy checks, and audit-trail generation — tuned to your regulatory environment and SLAs.
Engineering productivity agents
Code review, test generation, migration assistants, and codebase-aware agents — alongside GitHub Copilot rollouts.
What CXOs actually say.
Four objections we hear in every Florida discovery call — and how we address them. No spin, just the data and the architecture.
“We tried ChatGPT and it didn't really translate to ROI.”
Agentic AI is not chatbots. We design with measurable KPIs from day one — pilot baselines, eval harnesses, and 90-day outcomes that your CFO can defend.
The data
Only 14% of US CFOs see clear AI impact (KPMG 2025). The other 86% skipped baselining.
“We can't put our data on someone else's cloud.”
You don't have to. Foundry runs in your Azure tenant with managed identities, Purview DLP, and content safety. We never train on your data and BAA/SOC 2-aligned engagements are standard.
The data
78% of CFOs cite data security as a major AI concern — almost always solvable with proper Azure governance.
“Our team is too lean to maintain another platform.”
We engineer for ops from day one and offer managed AI services after deployment. You don't hire a team — you hire us as the operating layer that runs your Frontier Firm.
The data
Workplace Copilot conversion sits at 35.8% (Recon Analytics, 2026). The gap between license and daily use is where consulting earns its keep.
“How do we avoid AI vendor lock-in?”
The Microsoft Agent Framework 1.0 is open source. MCP is a portable protocol now governed by the Linux Foundation's Agentic AI Foundation (AAIF). Your agents and tool integrations are usable across IDEs, Copilots, and other platforms — by design.
The data
97M monthly MCP SDK downloads. 17K+ servers indexed. AAIF co-founded by Anthropic, OpenAI, Microsoft, Google, AWS. The standard is real.
Five published MCP servers. And the awesome-list for them.
Pablo curates mcp-servers-microsoft-ecosystem — the community-curated catalog of MCP servers across the Microsoft ecosystem (Azure, M365, Fabric, Power Platform, GitHub, Microsoft Learn). Complements the official microsoft/mcp catalog. Five reference servers ship in the repo with signed multi-arch images.
- Multi-arch · GHCR
- Signed · SBOM · SLSA provenance
- MIT · awesome-list curated
azure-resource-graph-mcpRead-only Azure inventory via Resource Graph + KQL. Natural-language questions about your estate.
azure-openai-deployments-mcpFinOps-friendly inventory of Azure OpenAI accounts, deployments, and region quotas.
microsoft-foundry-agents-mcpBridge to Microsoft Foundry hosted agents via the v2 Responses API (azure-ai-projects 2.x).
github-models-mcpBridge to free-tier GitHub Models — delegate, fallback, or A/B compare across providers.
microsoft-learn-search-mcpSearch Microsoft Learn docs + fetch articles as Markdown. No auth, zero setup.
Built on Microsoft AI.
We pick the smallest stack that works in production — and we go deep on Microsoft Foundry, Agent Framework, MCP, and Agent 365 so you get a partner who has shipped it before.
Agent platforms
- Microsoft Foundry
Agent Service GA · Workflows · Evals
- Microsoft Agent Framework 1.0
GA Apr 3, 2026 · .NET + Python
- Microsoft.Agents.AI namespace
MCP-native · A2A-ready
Models & data
- Foundry Model Router
GPT-5.5 · Claude Opus 4.7 · Gemini 3.1 Pro · Grok 4.2
- MAI-Voice-1 / Image-2 / Transcribe-1
Microsoft's in-house models · Apr 2026
- Azure AI Search
Hybrid · agentic retrieval
Integration & runtime
- Model Context Protocol
MCP servers · clients · AAIF standard
- Foundry Local + Phi-4
On-device · sovereign · zero per-token cost
- Voice Live
Collapsed STT–LLM–TTS pipeline
- Microsoft Fabric
Data pipelines · semantic models
Identity, governance & dev
- Agent 365 + Entra Agent ID
Zero Trust for agents
- Agent Governance Toolkit
OWASP agentic Top 10 · OSS
- GitHub Copilot
Chat · Workspace · Coding Agent
Built for regulated and sovereign workloads.
Whether you operate in GCC, GCC High, Azure Government, or fully disconnected via Microsoft Sovereign Private Cloud — our agentic architectures keep your data, prompts, and model interactions inside the perimeter you're accountable to defend.
FedRAMP-aligned
All Microsoft GenAI services at FedRAMP High (Dec 2025). Azure OpenAI authorized through DoD IL2 / IL4 / IL5 / IL6.
Defense industrial base
GCC High migration, M365 Copilot for Government, CMMC 2.0 Level 2 readiness for ITAR / DFARS / NIST 800-171.
Air-gapped & disconnected
Foundry Local on Azure Local Disconnected (GA Feb 2026). Same Foundry APIs, zero cloud, classified-friendly.
Sovereign Private Cloud
Microsoft Sovereign Private Cloud unifies Azure Local + M365 Local + Foundry Local for fully detached operation.
Start fast. Fixed scope.
Fixed scope. Fixed price. From strategy to working pilot in 2–6 weeks.
Foundry Agent Pilot
A production-ready agent for one specific use case on the Microsoft Agent Framework + Foundry Agent Service. Discovery, build, deploy, plus a 30-day support window.
AI Discovery Sprint
Top 5 prioritized use cases with business case, ROI estimates, and technical roadmap. The fastest way to align leadership on what to build first.
DevAI Enablement
GitHub Copilot rollout (Chat, Workspace, Coding Agent), baseline productivity metrics, best practices, and an AI-augmented SDLC blueprint.
How we work
Discover
Workshops, stakeholder interviews, and technical assessment.
Output
Prioritized use cases with business case.
Design
Solution architecture, agent design, governance plan, and success metrics.
Output
Production-ready blueprint.
Build
Engineering, integration, evaluation, and deployment.
Output
Agents running in your environment.
Operate
Observability, optimization, and continuous improvement.
Output
AI that gets better — and cheaper — over time.
Led by a Microsoft MVP in AI.
Jextex is led by Pablo Piovano — Microsoft MVP in AI, contributor to the Microsoft Agent Framework, and a 10+ year veteran of shipping enterprise AI in production.
Author of the AI-102 Certification Guide — a practical guide to building real-world solutions on Azure AI, Generative AI, and Microsoft Foundry. Pablo speaks regularly at Microsoft Build, Reactor, and Ignite, and has helped organizations across the Americas bring AI from proof-of-concept to scale.
Based in the Tampa Bay area, Florida — working with clients across the United States and beyond.
- Microsoft MVP — AI · since 2022
- Author — AI-102 Certification Guide (Amazon)
- Speaker — Microsoft Build, Reactor & Ignite
Where we share what we know.
Recognized speaker, contributor, and author across the Microsoft AI ecosystem.
Recognition
Microsoft MVP
AI category — recognized since 2022 for contributions to the Microsoft AI technical community.
Speaking
Microsoft Build 2026 · Reactor · Ignite
Featured speaker. June 2–3, San Francisco. Recent topics: Microsoft Agent Framework 1.0, Foundry Agent Service, agent orchestration, MCP integration with LLMs, GitHub Copilot Coding Agent.
Author
AI-102 Certification Guide
Practical guide to building real-world solutions on Azure AI, Generative AI & Microsoft Foundry. Available on Amazon.
Open source
microsoft/agent-framework
Contributor to Microsoft’s open-source agent framework — alongside microsoft/ai-agents-for-beginners and github/awesome-copilot.
Tell us your pain. Proposal in 5 days.
No slide decks. No sales pitch. Tell us the operational problem you need to solve — we map it to agentic patterns on Microsoft Foundry and come back with a complete proposal in five business days.