Our Process: From Idea to Impact
We follow a structured approach designed to reduce risk, maintain clarity, and ensure every project delivers meaningful results.
Phase 1: Discovery & Feasibility
1-2 Weeks
We dive deep into your business challenge, evaluate your data landscape, assess AI readiness, and identify where AI can create the most value.
Key Activities
- • Stakeholder interviews
- • Data availability assessment
- • Technical feasibility evaluation
- • Constraint identification
Deliverables
- • Feasibility assessment report
- • Data quality evaluation
- • Initial technical approach
- • Risk analysis
What We Need From You
- • Access to relevant data
- • Clear business challenge description
- • Stakeholder availability
Phase 2: Strategy & Planning
1-2 Weeks
We define what success looks like, map out the technical architecture, create realistic timelines, and establish clear project scope.
Key Activities
- • Success criteria definition
- • Technical architecture design
- • Resource planning
- • Cost-benefit analysis
Deliverables
- • Technical architecture proposal
- • Success metrics & KPIs
- • Project scope & timeline
- • ROI projections
What We Need From You
- • Decision-making authority
- • Budget parameters
- • Commitment to outcomes
Phase 3: Architecture & Design
1-2 Weeks
We design the system architecture, data pipelines, model strategy, and integration approach—building foundations for scalable, production-ready solutions.
Key Activities
- • System architecture design
- • Data pipeline planning
- • Model strategy
- • Integration specifications
Deliverables
- • Comprehensive architecture
- • Data pipeline design
- • Model methodology
- • Integration specs
What We Need From You
- • Access to technical environments
- • Integration requirements
- • Security/compliance guidelines
Phase 4: Dev & Implementation
4-12+ Weeks
We build, test, and integrate the AI system through iterative development with regular check-ins, feedback loops, and continuous refinement.
Key Activities
- • Model development
- • Application development
- • System integration
- • Iterative refinement
Deliverables
- • Functional AI models
- • Application interfaces
- • System integration
- • Testing implementation
What We Need From You
- • Regular feedback
- • Dev/test environment access
- • UAT participation
- • Timely decisions
Phase 5: Deployment & Optimization
Ongoing
We deploy to production, establish monitoring, gather real-world performance data, and continuously refine the system for improved accuracy and efficiency.
Key Activities
- • Production launch
- • Performance monitoring
- • Usage analysis
- • Continuous optimization
Deliverables
- • Production deployment
- • Monitoring dashboards
- • Performance reports
- • Optimization updates
What We Need From You
- • Production access
- • Real-world usage data
- • Ongoing collaboration
- • Enhancement prioritization
Successful Partnerships Require
Clear Ownership
Someone who can make decisions, provide direction, and keep the project moving forward.
Open Communication
Honest conversations about data quality, constraints, challenges, and expectations.
Defined Outcomes
Clarity on what success looks like and how we'll measure it together.
Active Participation
Engagement during key phases, feedback on deliverables, and collaboration on decisions.