Data & AI consulting for teams operating in complex markets
Turn messy data, unclear workflows, and AI experiments into systems the business can trust.
I help enterprise teams modernize BI, design governed AI workflows, and train people to run the systems after launch. The work is built for environments where the hard part is not only the tool, but the trust, handoffs, adoption, and operating discipline around it. Based in Lagos. Available globally.
Data & AI Consulting | MCT Training
Available remotely for clients and training programmes globally.
MCT
Microsoft Certified Trainer
Microsoft Certified Associate
MCSA certification
Who I help
Built for leaders dealing with trust, adoption, and execution friction
Buyer path
Data leaders
Dashboards are multiplying, definitions are drifting, and teams spend too much time defending numbers.
A BI layer with shared vocabulary, clean ownership, and reports leaders can act on.
Buyer path
Operations leaders
Manual handoffs, ticket queues, and unclear workflows slow the business down before technology even enters the conversation.
Workflow maps and AI pilots that reduce repetitive load while preserving escalation paths.
Buyer path
IT and transformation leaders
Migration, Fabric adoption, and AI experiments carry delivery risk because process, governance, and adoption are unresolved.
A phased roadmap that modernizes systems without moving old confusion into new tools.
Buyer path
L&D and training buyers
Training attendance is high, but capability fades because sessions are detached from real work.
MCT-led enablement built around role-based practice, team workflows, and post-workshop adoption.
Offer architecture
Buyable paths for removing data and AI friction
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
Four ways to remove data and AI friction
Services framed around buyer pain, not service categories
The detailed services page expands each path, but the homepage now makes the commercial problem clear before the tool stack appears.
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.
- 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.
- 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.
- 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.
- Current-state data and reporting map
- Target architecture with governance checkpoints
- Migration phases that protect trust, traceability, and adoption
Process
Diagnose, map, build, train, and hand off
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.
Featured case studies
Proof from systems that had to work after launch
Enterprise logistics environment
Enterprise Data Lake Migration
Reporting teams were repeating query logic across siloed sources, so leaders could not get fast, consistent answers.
Technical decision
Move the reporting foundation into Azure Data Lake with cleaner source-to-reporting flows and reusable BI access patterns.
Adoption decision
Keep the business vocabulary visible in the model so downstream teams could inspect and reuse the structure.
reducing query times by 400%
Faster query performance turned reporting from a bottleneck into an operational decision layer.
Technical support operation
Agentic Workflow Automation
Support queues were absorbing predictable Level 1 requests that did not need senior escalation.
Technical decision
Use AI agents for parsing, classification, response drafting, and business-rule routing.
Adoption decision
Preserve human review for ambiguous or escalation-level tickets instead of forcing false autonomy.
achieving a 78% resolution rate without human intervention
The support team recovered capacity while keeping accountability inside the workflow.
Manufacturing operations team
Real-time Analytics Dashboard
Operators were reacting to equipment issues after the fact because telemetry was not visible in a decision-ready format.
Technical decision
Build a real-time Power BI layer on streaming IoT telemetry for predictive maintenance signals.
Adoption decision
Translate telemetry into operational views that maintenance teams could use without reading raw device data.
reducing downtime by 22%
Reducing downtime protected production capacity and made maintenance planning more proactive.
Enterprise data engineering cohort
Enterprise AI Upskilling Program
Teams needed advanced AI and cloud architecture capability that would last beyond a one-off workshop.
Technical decision
Design a 12-week MCT-led curriculum around cloud architecture, cognitive services, and applied delivery.
Adoption decision
Structure the programme as repeatable capability building, not certification coverage alone.
successfully certifying 50+ data engineers
The organisation grew internal delivery capacity instead of depending only on external specialists.
Trust and systems
Microsoft ecosystem depth with visible proof
Power BI
Semantic models and executive reporting
Microsoft Fabric
Modern analytics foundation
Azure Data Lake
Cloud data architecture
Copilot Studio
Agent and workflow pilots
SAP Analytics
Enterprise planning and reporting
GitHub Copilot
AI-assisted development enablement
Featured training
MCT-led training for teams that need adoption, not just certification coverage
Training is now framed as a conversion asset: private training, team workshops, role-based learning paths, corporate enablement, and remote delivery for distributed teams.
Power BI
3 course topics
- Microsoft Power BI Analytics Solutions
- AI Agentic Power BI Development
Microsoft Fabric
2 course topics
- Build Microsoft Fabric Analytics Solutions
- Copilot in Microsoft Fabric
Copilot / AI Agents
2 course topics
- Advanced Data & AI (Microsoft Copilot Agents & AI workflows)
- Create agents in Microsoft Copilot Studio
AI-assisted development
3 course topics
- Github Copilot
- AI Agentic Code Development & Frameworks
Next step
Tell me what is breaking, slowing down, or failing to scale.
Use the guided contact form for BI trust problems, AI workflow design, migration and modernization, MCT-led training, advisory, or partnership work. The first reply can route the request into a diagnostic, sprint, roadmap, programme, or retainer.