| What I do? | Translate AEC processes into clear requirements, workflows and workable system solutions. | Manage technology implementation from discovery through go-live and stabilization. | Turn project and operational data into reliable analysis, reporting and decision support. | Build intelligent systems for prediction, document intelligence and workflow automation. |
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| Problems I solve? | Unclear ownership, inconsistent approvals, disconnected handoffs and poorly defined requirements. | Unclear scope, stakeholder misalignment, migration risk, weak UAT and poor user adoption. | Fragmented data, unreliable KPIs, limited visibility and difficult operational questions. | Late risk visibility, difficult information retrieval, repetitive reviews and uncertain predictions. |
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| What I produce? | Process maps, requirements, business rules, traceability and UAT scenarios. | Delivery plans, governance, risk controls, migration plans, cutover plans and training readiness. | SQL analysis, data models, KPI definitions, dashboards, forecasts and decision views. | Predictive models, evidence-based search, classifications, AI applications and evaluation reports. |
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| How I work? | - Understand the goal
- Meet the people involved
- Map how work runs today
- Find what slows work down
- Design the better way
- List what needs to change
- Write down what’s needed
- Users test and approve
| - Agree the scope and goals
- Plan the work
- Set up the system
- Move existing data
- Test everything
- Train the team
- Start using the system
- Fix early issues
- Hand over to the team
| - Pick the question to answer
- Collect the data
- Clean and check it
- Organise the data
- Find the patterns
- Build clear charts
- Turn findings into decisions
| - Pick the problem to solve
- Gather trusted data
- Measure the starting point
- Build the AI tool
- Check that it works
- People review the results
- Put it into daily use
- Keep checking and improving
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