Managed AI Agents · Dynamics 365 · Power Platform · Azure

Your next Power Platform team isn't people. It's agents.

A managed AI delivery platform built on 13 years of enterprise Dynamics 365 patterns. One subscription. A full team of specialized agents. 20x the throughput.

See it work

How it works

Core stack

Dynamics 365

Azure

.NET

Typescript

Power Platform

Dataverse

Power Apps

Power Automate

Power Pages

AI Builder

Dynamics 365

Azure

.NET

Typescript

Power Platform

Dataverse

Power Apps

Power Automate

Power Pages

AI Builder

0+Years of patterns built

0xDelivery multiplier

0Specialized agent roles

0+Enterprise environments

Hiring Power Platform teams doesn't scale. AI does.

Hire consultants, wait for onboarding, pay per head, hope they know your stack. Or deploy agents that already do.

Talent bottleneck

Good D365 people are hard to find. Onboarding is slow.

Slow delivery

Same patterns rebuilt every project. Context lost between sprints. Nothing compounds.

Trapped knowledge

One person holds the architecture. They leave. The system becomes untouchable.

Cost per head

You pay per seat. Meetings, ramp-up, holidays, turnover. Output stays flat.

The pattern problem

Every project rebuilds the same logic. No shared memory. No compounding. Agents fix that.

Deep in the Microsoft stack

We follow Microsoft standards, patterns, and best practices. We know the platform because we use it every day.

A full delivery team. No hiring.

Specialized AI agents grouped by domain. Each one trained on enterprise-grade code templates and best practices from real Dynamics 365 implementations.

Power Platform agents

Model-driven apps, canvas apps, flows, business rules, form logic. Agents that configure, test, and validate platform work.

Azure infrastructure agents

IaC templates, Azure Functions, Service Bus, Key Vault, App Services. Deployed right, documented, repeatable.

DevOps agents

Source control, PR reviews, CI/CD pipelines, solution packaging, environment promotion. No manual ALM.

Testing agents

Automated regression, integration tests, data validation, solution checker runs. Every change verified before deployment.

Architecture agents

Schema design, entity modeling, security roles, relationship mapping. Patterns that survive team turnover.

Documentation agents

Technical docs, runbooks, API references generated alongside code. Not after. Not never.

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How it works

Enterprise patterns underneath. AI agents on top. Your team stays in control.

Best practice templates

Every agent runs on proven code templates from 13 years of Dynamics 365 implementations. Not generated from scratch. Built from patterns that survived production.

Domain-specific identities

Each agent group owns a domain: Power Platform config, Azure infrastructure, DevOps pipelines, testing, documentation. They don't overlap. They coordinate.

Your environment, your repos

Agents work inside your tenant. Code lands in your source control as pull requests. You review, approve, merge. Full audit trail.

Scale without hiring

Need more throughput? Add agents. Backlog shrinks? Scale down. No recruitment, no onboarding, no notice periods. The team grows with the work.

Run a pilot on your backlog.

Pick a real task. Watch the agent team deliver it. Decide after.

One real task from your sprint, delivered by AI agents.

No commitment. No contract. Output first.

Try it

What should we build?

Describe the task or workstream. We'll deploy agents and show you the output.