01
Azure Multi-Agent Orchestration
Architecting robust, multi-agent frameworks that orchestrate dozens of specialized agents via Azure AI Foundry — for scalable, secure, autonomous operations.
AI-native delivery · Built on the Microsoft Cloud
We make the Microsoftcloudthink—agents, Copilots & models,shipped to production.
InfiniteMath is an AI-native firm with 20+ years inside the Microsoft ecosystem. We design, build and ship agentic AI, Copilots and intelligent Dynamics 365, Power Platform and Business Central systems — model-agnostic on Azure AI Foundry — delivered with and through our partners, worldwide.
infinitemath.agentrouting
0+ yrs
inside the Microsoft cloud
0-day
idea → production pilot
0
specialized practices
0+
countries delivered in
How we work
Engineering depth,
where it counts.
The unglamorous architecture decisions are what separate a demo from a system. Here's where we go deep — multi-agent orchestration, standardized tool access, and native Microsoft integration.
02
Custom MCP Server Architecture
Future-proofing enterprise integrations with Model Context Protocol (MCP) servers and standardized tool registries that connect AI agents to your proprietary data and core business systems.
03
Microsoft Ecosystem Integration
Embedding AI natively into your existing infrastructure, with deep architectural expertise across Dynamics 365 and Power Platform for immediate operational impact.
What we do
Eight practices,
one intelligent estate.
We lead with AI and back it with two decades of Microsoft depth. Every practice is run by senior practitioners who've shipped the real thing — for SMBs that need pragmatism and enterprises that need precision.
01 / AI Engineering
AI & agents — software that does the work .
From a napkin idea to a production-grade agent in 90 days. We build on Azure AI Foundry — model-agnostic by design — so you're never locked to one provider. Agentic workflows, RAG, computer vision and document intelligence, observable and governed from day one.
Azure AI Foundry — the model-agnostic foundation (GPT, Claude, Llama, Mistral, Phi)
Multi-agent orchestration with MCP servers & standardized tool registries (Foundry Agent Service)
RAG on SharePoint, Dataverse, Fabric OneLake
Document Intelligence & Computer Vision for real-world inputs
Eval harnesses, red-teaming, content safety, observability
0-day
idea → production pilot
Modules engaged
AI FoundryAgent ServiceMCPRAGEvals
Engagement model
Fixed-fee discovery → time-and-materials build → managed services.
Our products & platform
We don't just consult on AI — we build and run it.
InfiniteMath ships its own agentic products on Azure, and the platform underneath them. The unglamorous parts are the point: multi-agent orchestration, MCP server registries, evaluation harnesses, content safety, token economics and observability — shipped by default, grounded in Dynamics, Dataverse and Fabric.
Model strategy
Multi-model
on Azure AI Foundry
Delivery
Partner-led
co-delivery & white-label
Halsey for Sales
GAAn agentic co-pilot trained on your CRM, calls and decks. Drafts proposals, summarizes accounts, surfaces next-best-action — inside Outlook and Teams.
Ledgerline for Finance
GADocument Intelligence + Business Central, configured. Three-way match, intercompany reconciliation and month-end variance commentary in one workflow.
FieldVision
BetaComputer-vision-assisted field inspections. Technicians snap a photo; FieldVision annotates defects and writes the work-order narrative.
Atlas Agent Foundry
PlatformOur opinionated reference architecture for production agents on Azure — multi-agent orchestration, MCP server registry, eval harness, content safety, telemetry and CI/CD included on day one.
How we work
A delivery rhythm
that doesn't slip.
Two decades of project post-mortems distilled into five phases — reframed for an agentic world. Predictable, instrumented, and biased toward a working system over a deck.
01
Frame
We map the highest-leverage use case, the data behind it, and what 'production' actually means for you — before a line of code.
1–2 weeks
02
Prototype
A working prototype in your tenant — a real agent or app you can click, not a slide. We learn against your data, fast.
2–4 weeks
03
Harden
Evals, guardrails, cost controls, observability and the unglamorous engineering that turns a demo into a system.
4–10 weeks
04
Ship
Data migration, UAT, training, hypercare and a calm, rehearsed cutover. The deliverable is a living solution, not a report.
2–6 weeks
05
Operate
Managed services, model & prompt tuning, Azure FinOps and quarterly reviews. We own it six months after launch, too.
Ongoing
What we ship
Services & products,
opinionated by design.
A focused catalog of service offerings and AI products. Each one is shaped by the same playbook: senior people, configuration before code, honest timelines.
Product
Halsey for Sales
An agentic co-pilot trained on your CRM, calls and decks. Drafts proposals, summarizes accounts, surfaces next-best-action — native to Outlook and Teams.
- Account summaries
- Proposal drafting
- Pipeline coaching
- Teams + Outlook native
Product
Ledgerline for Finance
Azure Document Intelligence + Business Central, pre-configured. Three-way match, intercompany reconciliation, month-end variance commentary in one workflow.
- Invoice capture
- Three-way match
- Reconciliation
- Variance commentary
Platform
Atlas Agent Foundry
Our reference architecture for production agents on Azure — multi-agent orchestration, an MCP server registry, eval harness, content safety, telemetry and CI/CD included on day one.
- Agent orchestration
- MCP tool registry
- Eval & red-team harness
- Observability + CI/CD
Service
Agentic AI builds
We take your highest-leverage workflow and ship a governed, observable agent against your real data — wired to your systems through MCP servers, concept to production in roughly 90 days.
- Use-case framing
- RAG on your data
- MCP tool access
- Evals & guardrails
Service
Copilot rollout & adoption
Microsoft 365 Copilot and Copilot Studio agents, deployed with the grounding, governance and change-management that turns licenses into daily habits.
- M365 Copilot
- Copilot Studio agents
- Grounding & governance
- Adoption playbook
Service
Dynamics & Power Platform
End-to-end Dynamics 365 and Power Platform delivery — including the new code-first Code Apps — configured the correct way and wired for AI from the start.
- Solution architecture
- Code Apps & model-driven
- Data migration
- Copilot wired in
Industries
Eight verticals where we
know the data model already.
We bring industry accelerators, reference architectures, and consultants who've shipped in your vertical before. Less explaining, faster shipping.
01
Manufacturing
Discrete & process, BC + Field Service
02
Financial Services
Servicing, lending, agentic ops
03
Healthcare & Life Sciences
Patient engagement, HIPAA/GxP-aligned R&D data
04
Retail & CPG
Unified commerce + Customer Insights
05
Energy & Utilities
Field, asset, outage management
06
Public Sector
Citizen services, grants, casework
07
Professional Services
PSA on BC + Project Operations
08
Higher Ed
Recruitment, advancement, journeys
About InfiniteMath
A young firm,
with two decades of practice.
InfiniteMath was founded in 2019 by professionals who'd already spent the better part of their careers inside the Microsoft ecosystem — building Dynamics, Power Platform and Business Central solutions for organizations large and small.
We started the firm to do the work the way we always thought it should be done: senior practitioners on every engagement, configuration before code, and timelines that survive contact with month-end close.
Today we partner with SMBs and enterprise customers on engagements that run from focused 11-week implementations to multi-year programs — with the same opinionated playbook behind each one.
How we operate
01
Production, not pilots
We don't hand off demos. Every engagement targets a governed, observable system your team can still run six months after we leave.
02
AI-native, not AI-bolted-on
Intelligence is designed into the architecture from day one — agents, grounding and evals — not sprinkled on a legacy build at the end.
03
Senior by default
Engagements are led by practitioners with 20+ years on the Microsoft stack — not a junior fronted by a partner.
04
Governed by design
Content safety, evals, cost controls and audit trails are part of the build — not a compliance scramble afterwards.
Get in touch
Let's talk about
what to build first.
Send a few lines about your situation and we'll book a 45-minute working session with a senior practitioner — not a salesperson. No NDA required for the first call.