From Zero to Operational AI
in 90 Days.
What You Have at the End of Each Phase
Strategy & Architecture
AI Readiness Assessment completed. Top 3 highest-impact AI opportunities identified. Solution architecture designed for the primary use case. Integration map produced. Full project plan with milestones, deliverables and success metrics agreed.
Build & Integration
Primary AI system built and connected to your live systems. LLM configured and trained on your data. Integrations with ERP, CRM, communication tools and any required third-party platforms established. Staging environment testing completed.
Deploy & Operationalise
Production deployment. Live monitoring active. Team trained on oversight, exception handling and performance review. Full documentation handed over. Performance baseline established. Second use case scoped for the next phase.
Who the 90-Day Program Is Designed For
You have a specific operational workflow you want to automate.
You have data — transaction records, customer data, operational history — that an AI system can learn from.
You have a team member who can act as the operational owner of the AI system.
You want measurable outcomes, not a strategy deck.
You are still in early exploration and have not identified a specific use case.
You do not yet have the data infrastructure in place for a production AI system.
You need a proof-of-concept or pilot before committing to production.
For these situations, start with our AI Readiness Assessment.
What Is Included in the Programme
PHASE 1 · DAYS 1–30
Strategy
- 1 AI Readiness Assessment
- 2 Workflow mapping and opportunity prioritisation
- 3 Solution architecture for primary use case
- 4 Integration requirements analysis
- 5 Data audit and preparation
- 6 Success metrics and KPI definition
- 7 Full project plan and milestone schedule
PHASE 2 · DAYS 31–60
Build
- 1 Custom AI system engineering
- 2 LLM selection, configuration and training on your data
- 3 API and system integrations (ERP, CRM, communication tools)
- 4 Workflow automation build (n8n / Make / Power Automate as appropriate)
- 5 Staging environment deployment
- 6 Testing against real operational data
- 7 Edge case identification and handling
PHASE 3 · DAYS 61–90
Deploy
- 1 Production deployment with managed go-live
- 2 Active monitoring for first two weeks
- 3 Exception handling setup and alerting
- 4 Team training: oversight, approvals, exception management
- 5 Full technical and operational documentation handover
- 6 Performance baseline establishment
- 7 Second use case scoping
ONGOING · POST DAY 90
Optional Support
- 1 Optional structured support engagement
- 2 Monthly performance review and optimisation
- 3 Model improvement cycles as operational data accumulates
- 4 Second and third AI use case deployment
- 5 Odoo / ERP AI configuration as part of a broader automation stack
- 6 Access to the full Sufalam AI & Automation capability
