Overview
We help you adopt Microsoft Copilot across Microsoft 365 and build custom AI solutions on Azure AI Foundry, focused on the workflows where AI removes real friction rather than chasing hype.
Just as important, we put the guardrails in place, identity, data governance, and access controls, so you get the productivity without exposing sensitive information.
How We Work
Readiness
We assess your data hygiene and permissions first, because AI is only as safe as what it can reach.
Pilot
We roll Copilot out to a focused group with real use cases, measure what sticks, and build the prompt playbook.
Scale
We expand to the wider team with training and governance, and add custom AI where it earns its keep.
What's Included
Copilot readiness
Assess and prepare your data and identity so Copilot is safe to turn on.
Rollout and adoption
Deploy Copilot to the teams and workflows where it earns its keep.
Custom AI on Azure
Purpose-built AI solutions on Azure AI Foundry for your specific use cases.
Data governance
Controls so AI only sees what it should, and your data stays yours.
Use-case discovery
We help you find the workflows where AI creates measurable leverage.
Enablement
Training and guardrails so adoption sticks and stays responsible.
Implementation Options
Three ways to start, depending on how much certainty you want before you commit. Estimates and rates are quoted in your proposal.
T&M Implementation
- The full implementation on time and materials, billed to actual hours as consumed
- A written estimate up front, revisited at every phase gate
- Design and build run in parallel: the blueprint evolves while early phases are already being delivered
- Scope stays flexible, with changes approved through a written change order
- Simpler footprints with a clear picture of their requirements
- Teams comfortable steering scope as the work unfolds
Fixed-Fee Discovery & Design
- The first phase of a full implementation, run as a standalone engagement with its own deliverables (we call it Phase 0)
- Current state documented, future state designed, and the implementation blueprint delivered
- A fixed-fee implementation proposal, priced against confirmed scope
- Deliverables are platform-agnostic, not tied to Microsoft or to us, and detailed enough for any qualified partner to quote a fixed fee
- The fee is credited in full toward the implementation if you proceed with us within three months
- Complex or unclear scope, where guessing is expensive
- Boards and leadership teams that prefer the certainty of a detailed roadmap and fixed-fee scope before implementation kicks off
Fixed-Fee Implementation
- Follows a completed Discovery & Design engagement
- The implementation at a fixed price, quoted against the scope confirmed in discovery and design
- Milestone billing tied to deliverables you can verify
- Change orders only when the scope itself changes
- Budget certainty required before kickoff
- Regulated or board-governed purchases
Support & Training Options
Automation only pays for itself while it keeps running. Decide who watches it. Flat-fee plans run on a rolling 90-day commitment; T&M carries none.
T&M support
- Fixes and changes billed hourly, as requested
- Escalation to the team that built your AI rollout
- New automation ideas scoped in writing before work starts
- Teams with a maker or admin who owns the day to day
- A small number of stable, low-risk automations
Flat-fee automation support
- Reduced professional services rates for your implementation
- SLA-backed support during business hours
- Monitoring so failed runs get caught by us, and never by your customers
- Governance reviews as Microsoft ships new AI capability
- Training for new staff who inherit the tools
- Automations sitting in revenue-critical or compliance-critical paths
- Teams that want to keep building without keeping a developer
Fully managed automation & IT
Everything in the flat-fee automation support option, plus managed IT services:
- Our lowest professional services rates for your implementation, as part of a holistic ongoing engagement
- Microsoft 365 administration
- Endpoint monitoring, patching, and security configuration
- Security monitoring, threat response, and email security
- IT vendor and license management
- vCIO strategic advisory
- Helpdesk and level 1, 2, and 3 support for staff
- SLA on system-blocking issues
- Companies that want one partner across automation and general IT
Who This Is For, and Who It Is Not
A strong fit if
- You have licensed Microsoft 365 Copilot, or are weighing it, and want to know which roles get time back.
- A few roles spend hours a week summarizing, drafting, or hunting for documents.
- Staff have started using public AI tools on their own, and you want a governed option instead.
- You want an assistant grounded in your own documents, running inside your own tenant.
- Your SharePoint and Teams permissions grew organically, and you want them sorted before AI can surface anything across them.
A poor fit if
- You want Copilot switched on this week with no permissions review. Copilot returns whatever a person can already open, so that cleanup comes first.
- You expect AI to take out headcount in the first quarter. What we can evidence is hours back per person per week.
- You want a model trained on your data from scratch. That is a research project, and a different kind of engagement.
Frequently Asked Questions
All questionsWhat is Copilot & Azure Foundry?
Copilot is Microsoft's AI assistant built into Word, Excel, Outlook, and Teams, working with your company's own data. Azure AI Foundry is the platform behind it for building custom AI on your data. Our service rolls both out with the governance to make them safe.
How much do Microsoft 365 Copilot and Azure AI Foundry cost?
Microsoft 365 Copilot is licensed per user, per month, on top of a qualifying Microsoft 365 plan, so it is an add-on rather than a replacement. You license only the people who get it, which is why most rollouts start with one or two departments and widen once the time savings show up. Azure AI Foundry is consumption-based instead: there is no seat license, and custom AI is billed on the tokens and services it uses. Microsoft publishes Copilot rates on the Microsoft 365 Copilot for business page and Foundry rates on the Foundry pricing page.
How is this different from ChatGPT?
Consumer chatbots run outside your company: they cannot see your business context, and anything pasted into them leaves your control. Copilot works inside your tenant, respects your permissions, and leaves your data where it lives. The difference is not the AI, it is the guardrails around your data.
When is a company ready for Copilot?
When the team is drowning in drafting, summarizing, and searching its own documents, and leadership wants AI adoption to be deliberate instead of fifty employees quietly pasting company data into free tools. Readiness has one prerequisite: if file permissions are a mess, Copilot will surface documents people should never have seen, so governance comes first. Here is why SharePoint cleanup comes before Copilot, and our Copilot prompt playbook shows what day-to-day use looks like.
Will Copilot or AI expose our data?
Only if it is rolled out carelessly. AI tools surface whatever the signed-in person can already access, so oversharing that was invisible in file shares becomes very visible in answers. We fix permissions and governance first, then turn on AI, in that order.
How do you handle training?
Role-based and timed close to go-live so it sticks: finance, operations, and quality each learn their own workflows, in your system with your data. After go-live, support sessions run as live screen shares that double as training, and flat-fee plans include training for new hires and on each Microsoft release wave.
What happens after go-live?
Thirty days of hypercare are built into every implementation, then you move to the support option you chose. Expect a response within a couple of hours, usually a live screen share, and sessions that double as training. Heavy investment in training and cutover means post-go-live questions skew toward how-do-I rather than break-fix.
Will Microsoft's updates break things mid-workday?
Business Central and Dynamics 365 ship two release waves a year, announced months in advance. We review each wave against your configuration, test in a sandbox, and train your team on what changes before it reaches production. No surprise updates during the Tuesday rush.
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