AI Agency & Services
Four ways to remove data and AI friction.
Services are packaged around the buyer problem: reporting distrust, unclear AI workflows, migration risk, and training that needs to become real capability. The work can start as a diagnostic, sprint, roadmap, programme, or advisory retainer.
Delivery process
How engagements are structured
Every engagement starts with the operating friction, then moves toward a layer the team can understand, use, and maintain.
- Diagnose: Find the operating friction behind the visible data, AI, migration, or training request.
- Map the workflow: Name the handoffs, ownership, review points, vocabulary, and constraints before tooling decisions harden.
- Build the layer: Create the BI model, AI workflow, migration roadmap, or training path that directly addresses the friction.
- Train the team: Make sure the people expected to use the system can run it, question it, and improve it after launch.
- Document handoff: Leave decisions, architecture, and next steps clear enough for another team to maintain the work.
Service pillars
Four service lines, written in the language of the problem
Each path clarifies when it is the right fit and what deliverables should exist after the engagement.
When automation needs guardrails, handoffs, and accountability
AI Workflow Design
AI workflow design that maps where the model should act, where humans stay in the loop, and what evidence must be logged before a workflow can be trusted.
Typical scope: 4-6 weeks pilot deployment
- Workflow maps with model actions, human review points, and escalation rules
- Pilot backlog for Copilot Studio, support automation, or internal agents
- Risk boundaries that keep automation useful without hiding accountability
When leaders do not trust the numbers
BI Trust Architecture
BI architecture for teams dealing with conflicting reports, slow dashboards, unclear semantic models, or executives who have stopped believing the numbers.
Typical scope: 2-4 weeks audit & sprint
- Semantic model audit and vocabulary alignment
- Dashboard rationalization around decisions, not decoration
- Maintainable reporting foundations for Power BI and Fabric teams
When teams need practical capability, not attendance records
MCT-Led Enablement
Microsoft Certified Trainer delivery designed around roles, current tools, and the work participants need to perform after the workshop ends.
Typical scope: 1-3 days custom workshops
- Private team workshops, multi-day intensives, and cohort programmes
- Hands-on learning paths for Power BI, Fabric, Copilot, AI workflows, and SAP Analytics
- Remote and local delivery for enterprise teams and international cohorts
When migration risks moving old confusion into a new platform
Data Lake Modernization
Azure and Fabric modernization that cleans the operating model while moving the technical layer, so the cloud foundation supports analytics instead of preserving old reporting debt.
Typical scope: 8-12 weeks phased migration
- Current-state data and reporting map
- Target architecture with governance checkpoints
- Migration phases that protect trust, traceability, and adoption
Packaged entry points
Diagnostics, sprints, roadmaps, programmes, and advisory
These offers give buyers a clearer first step than a generic consulting inquiry.
Entry offer
Data & AI Clarity Diagnostic
For leaders unsure whether the real blockage is data quality, workflow design, tooling, adoption, or governance.
- Friction map
- System risk view
- Opportunity list
- Recommended next step
Power BI and Fabric
BI Trust Architecture Sprint
For teams with slow dashboards, conflicting numbers, messy semantic models, or low report adoption.
- Model audit
- Dashboard rationalization
- Semantic model roadmap
- Governance checklist
Copilot and agents
AI Workflow Readiness Sprint
For teams exploring Copilot Studio, AI agents, ticket automation, or internal workflow automation.
- Workflow map
- Human-in-the-loop design
- Risk boundaries
- Pilot backlog
Azure and Fabric
Data Lake Modernization Roadmap
For teams moving from on-prem, fragmented reporting, or scattered ETL into Azure, Fabric, or a cleaner BI foundation.
- Current-state map
- Target architecture
- Migration phases
- Governance checkpoints
Training and adoption
MCT-Led Team Enablement Program
For companies training Power BI, Fabric, Copilot, SAP Analytics, or AI-assisted development teams.
- 1-day workshop
- 3-day intensive
- 4-week cohort
- 12-week enterprise programme
Ongoing guidance
Fractional Data & AI Architecture Advisory
For leadership teams that need senior data and AI guidance without a full-time architecture hire.
- Architecture reviews
- AI adoption planning
- Team enablement
- Monthly decision support
Conversion path
If one of these looks close to your problem, that is enough to start.
Share the business problem, current systems, team size, urgency, and what success needs to look like. The first reply can route the request into a diagnostic, sprint, roadmap, programme, or advisory retainer.