Dynamics 365 delivery × AI automation
ERP modernization, Azure integration, and AI automation — delivered end to end by the principal who's shipped all three.
I bring deep Dynamics 365 Finance & Operations and Azure integration expertise, paired with hands-on experience building agentic AI and automation that fits how your enterprise actually operates. Based in Auckland — working with teams across New Zealand and Australia, and remotely worldwide.
16+
Years in the Microsoft ecosystem
5
Practice areas
1
Principal, end to end
Our delivery stack
Microsoft-native. Open-source-fluent.
Built on Microsoft's stack, augmented with open tooling when the cloud isn't the right fit — no proprietary lock-in.
Microsoft
- Dynamics 365 F&O
- Power Platform
- Copilot & M365
- Azure AI Foundry
- MS Agent Framework
- Azure Integration Services
- Logic Apps · Functions · Service Bus
Open
- n8n
- Ollama · vLLM
- Llama · Mistral · Qwen
- Open agent frameworks
- Model Context Protocol (MCP)
Delivery depth from inside Microsoft partner teams
Until August 2026, our principal delivered hands-on inside a live Microsoft partner delivery team on active Dynamics 365 Finance & Operations implementations. neural365 now brings that same depth of delivery experience to engagements under its own name.

Your principal
The person who scopes your architecture is the person who delivers it.
I'm Abhishek Aditya — Founder & Principal Solution Architect with 16+ years across Dynamics 365, Azure integration, and applied AI. Based in Auckland, New Zealand, working with teams anywhere — and when an engagement needs more hands, a vetted network extends capacity.
Why neural365
Specialists, not generalists — and one principal, not a chain of vendors.
What one principal across five practice areas means for your engagement.
One principal across all five practice areas
No handoffs or finger-pointing between your ERP, integration, and AI vendors. The same principal moves from architecture through integration into AI build-out when a project needs all three. And when an engagement needs more hands than one principal, a vetted network of consultants from inside Microsoft partner teams extends capacity — same standard, no new handoffs.
Delivery depth from inside Microsoft partners
Until August 2026: hands-on Dynamics 365 F&O implementation inside live Microsoft partner delivery teams. The same expertise, now applied to engagements under the neural365 name.
Research-led, not opinion-led
My thinking goes public on neural365 Community — launching soon — so you can audit how I reason before you ever book a call. No sales theatre.
Microsoft-stack native, open-source-fluent
We recommend what fits the problem, not what we sell. Cloud AI when it's right; local LLMs and open tooling when privacy, compliance, or cost demand it.
What we do
Five practice areas, one principal.
No handoffs between disconnected vendors — the same principal moves from ERP delivery through Azure integration into AI build-out, when a project needs all three. Microsoft-native by default; open-source when the problem calls for it.
Microsoft delivery triad
D365 F&O Implementation & ERP Modernization
Modernize legacy ERP to Dynamics 365 F&O — full-lifecycle delivery from architecture through go-live and beyond.
- Full-lifecycle D365 F&O implementation and legacy ERP migration
- Business process re-engineering and optimization
- System configuration, customization, and data migration
Microsoft AI
Agents, Copilot extensions, and automation on Microsoft's AI stack — built to fit how your team works inside M365 and D365.
- AI research agents and automated reporting
- Conversational AI and workflow automation
- Voice agent orchestration and multimodal AI
Azure Integration Services
The connective tissue between your systems — built on Azure to hold up as everything around it changes.
- API, middleware, and data synchronization solutions
- Enterprise solution architecture design
- Cloud migration strategy and roadmap development
Advisory & extension
Strategy & Advisory
Honest readiness assessments and clear roadmaps — before you commit budget.
- Digital readiness assessment and technology stack evaluation
- AI adoption strategy and ROI analysis
- Digital transformation advisory and project leadership
Open & Local AI
When Microsoft isn't the right fit — n8n, local LLMs, and self-hosted agent frameworks for privacy, compliance, and cost-control at scale.
- n8n workflow automation
- Local LLM deployment (Ollama, vLLM)
- Model selection and tuning (Llama, Mistral, Qwen)
What we solve
Recognize your situation?
“We're running on legacy ERP”
Plan and execute a migration to Dynamics 365 F&O without business disruption.
See how“Our finance team is drowning in manual work”
Automate reconciliation, reporting, and approvals with AI agents on top of your existing stack.
See how“Our systems don't talk to each other”
Build resilient Azure integrations that end the spreadsheet exports and late-night reconciliations.
See how“We've been told to 'do AI' but don't know where to start”
Honest readiness assessment, prioritized roadmap, and a quick-win pilot.
See how“We're mid-migration and it's going sideways”
Rescue engagement: diagnose, stabilize, get back to go-live.
See how“Our data can't leave our environment”
Local LLM deployment for privacy, compliance, or IP-sensitive workloads — without losing AI capability.
See howHow we work
Five stages, the same principal throughout.
Assess
Readiness assessment and current-state architecture review.
Design
Solution architecture, integration design, and roadmap sign-off.
Build
Configuration, integrations, and AI/automation build-out.
Launch
Data migration, training, and go-live support.
Sustain
Post-launch support, tuning, and continued AI adoption.
Questions buyers ask
Before you book the call.
We're already working with a Microsoft partner — can you complement them rather than replace them?
How do AI agents actually fit our D365 environment? Will they break things?
We're mid-implementation and it's stalling. Can you step in?
What does a discovery call involve, and is there any obligation?
How do you price engagements?
Do you work with our existing internal team or replace them?
Cloud vs local LLM — how do we choose?
Do we have to commit to Microsoft to work with you?
Not sure where to start?
Try our 2-minute guides.
Three short branching tools to help you figure out the right next step — before you book a call.
Five quick questions about your current system to help you decide whether a D365 migration is the right next move.
What are you running on today?
AI Readiness
See where you sit on the AI maturity curve.
A 5-minute self-assessment across data, processes, use-case clarity, and change-readiness. Get a scored result, tailored recommendations, and a clear next step — no email required to start.
Resources
Frameworks and checklists we actually use.
Three downloadable resources used in real engagements. Free in exchange for your email — and we won't add you to a newsletter you didn't ask for.
D365 F&O Readiness Checklist
What to have in place before a migration — data, process, governance, team.
Get the resourcePDFAI Agent Scoping Template
Define use case, data sources, success metrics, and risk boundaries before you build.
Get the resourcePDFLocal LLM Readiness Checklist
When on-prem AI makes sense — and the cost, hardware, and capability questions to answer first.
Get the resourceLive demos
The agent in the corner of your screen right now? We built that.
Our chat assistant runs on Azure OpenAI with retrieval over our own knowledge base — the same architecture we deploy for clients. More demos landing here as we ship them.
Get in touch
Tell us where you're starting from.
Whether it's an AI agent rollout, an Azure integration project, or a legacy ERP migration — a 30-minute discovery call costs nothing and commits you to nothing. Prefer email? Use the form.
- [email protected]
- Response time
- Within 1 business day