Make everyday work better
AI Business Solutions consulting
Improve how people collaborate, find information, and get work done with Microsoft 365. Connect that productivity foundation to Copilot, business processes, and useful AI, with a practical approach to implementation and adoption.
Reference architecture
A governed path from knowledge to action
A reference workflow for a business assistant that uses approved information and integrations.
Define the task
Agree on the business purpose and accountable owner.
Business processCheck access
Use approved sources and the appropriate identity context.
Identity and knowledgeProduce a response
Ground the result and evaluate usefulness and quality.
Copilot or a custom solutionReview the action
Apply the approval rules for the intended consequence.
Business owner
A drafting assistant and an action-taking workflow need different control and approval decisions.
Modern work and productivity
Help people work better.
Make Microsoft 365 count.
The modern work is the productivity foundation of AI Business Solutions. Make Microsoft 365 and Viva useful in everyday work: collaborating in Teams and Outlook, finding trusted information, learning new skills, and coordinating tasks without unnecessary handoffs.
We help align Teams, SharePoint, OneDrive, Exchange, and Microsoft 365 apps with your business processes. Establish sensible workspace ownership, information organization, and adoption practices before adding more tools or expanding Copilot.
Use Viva Connections to bring news and resources together, Viva Engage to support employee communities, and Viva Learning to make development easier to access. For organizational Viva Insights, agree the business purpose, privacy safeguards, and appropriate access before using workforce measures.
Where a cloud desktop fits the need, plan Windows 365 Cloud PC provisioning and the employee experience. Coordinate device readiness and Intune management with the security requirements of your organization.
What we address
- Productivity discovery, licensing alignment, and underused Microsoft 365 capabilities.
- Teams and SharePoint workspace design, document collaboration, search, and content ownership.
- Viva employee communications, communities, learning, and privacy-aware adoption insights.
- Email, calendar, meetings, and task-management practices that reduce avoidable coordination work.
- Windows 365 readiness, provisioning, and access requirements for the selected edition.
- Role-based training, adoption champions, support handover, and a foundation for Copilot.
A practical output
A Microsoft 365 and Viva productivity assessment, collaboration and employee-experience design, prioritized implementation plan, and adoption playbook.
Measures to agree: time to find information, task completion, avoidable handoffs, support demand, and sustained use of the agreed workflows. Confirm licensing and supported features before rollout.
Discuss your Microsoft 365 priorities →Copilot readiness and enablement
Make everyday AI
ready for your business.
Microsoft 365 Copilot is an AI experience, not a single generative pre-trained transformer model. It combines models with your work context, application integrations, and permission-aware access. Governance depends on the controls your organization configures and operates, not just the model behind an answer.
Align the product and supported model options with your use cases, prepare the information it can access, and evaluate the current experience with a focused pilot.
Understand Copilot, models, and governance →What we address
- Business use-case discovery and role-based pilot selection.
- Product differences, supported model choices, and administrator settings.
- Licensing, identity, device, and information-access readiness.
- Oversharing risks, collaboration policies, and protection requirements.
- Task-based evaluation, enablement materials, and rollout decisions.
A practical output
A readiness assessment, prioritized remediation actions, pilot charter, and adoption plan.
Measures to agree: readiness gaps closed, useful task completion, quality of outputs, and sustained adoption within the pilot group.
Explore data and Copilot readiness →Business process transformation
Reduce the friction
between intent and action.
Reimagine a process before automating it. Identify repeated work, unnecessary handoffs, and decisions that need better context, then connect business applications and AI around a clear outcome.
Where to start
- Sales: opportunity preparation, account context, and proposal workflows.
- Service: knowledge retrieval, request triage, and guided case resolution.
- Finance: document review, exception routing, and management reporting.
- Operations: request fulfillment, process visibility, and approved system updates.
A practical output
A current-to-future process map, integration design, decision and approval matrix, and a scoped implementation backlog.
Measures to agree: cycle time, rework, handoff volume, exception rates, and service quality. Keep consequential decisions subject to agreed oversight.
Custom AI solutions
Put your knowledge
to work in context.
Generic answers are not enough for specialized work. Design assistants and agents that use approved business knowledge, respect access boundaries, and integrate with the systems your teams rely on.
What we address
- Use-case feasibility, knowledge-source selection, and data ownership.
- Grounded answers, source attribution, and permission-aware retrieval.
- Approved integrations, tool contracts, and bounded actions.
- Quality evaluation, harmful-input handling, and release criteria.
A practical output
A solution blueprint, scoped prototype, evaluation dataset, and a production-readiness backlog.
Measures to agree: answer quality, groundedness, task success, safe failure behavior, latency, and cost per useful interaction.
Connect the governance foundation →Adoption and value realization
Make the change stick.
Make its value visible.
A deployment is a starting point, not the business outcome. Define how people will use the solution, how it will be supported, and what evidence is needed to justify the next investment.
What we address
- Stakeholder ownership, communications, and role-based enablement.
- Pilot feedback, support processes, and workflow refinements.
- Baselines and success criteria that balance value, quality, and risk.
- Scale, pause, or redesign decisions based on evidence.
A practical output
An adoption playbook, measurement framework, support handover, and prioritized improvement plan.
Measures to agree: sustained use, process quality, avoidable rework, and stakeholder feedback. Time saved is not automatically a realized financial benefit.
Service guides
AI Business Solutions briefs
Your starting point
Choose a process.
Define a meaningful outcome.
Bring one important business challenge, its owner, and a view of the systems and information involved. Start with a focused roadmap rather than a company-wide rollout.
Explore the AI roadmap outline