Delivery Enablement
AI + Tech Delivery Enablement
Organizations often struggle not with the AI model itself, but with the surrounding processes and infrastructure.
TOTB Consult helps leaders align strategy, data, governance, and delivery, allowing AI + Tech programs to move from IDEA → PROTOTYPE → PRODUCTION → SUSTAINED PERFORMANCE with clarity and confidence.
We do not build AI models. We create the conditions necessary for models to succeed.
Our AI + Tech Delivery Enablement offering includes,
Operating Model Architecture
Assess whether organizational data is usable, accessible, and sufficient for AI, and identify gaps early.
Competencies: Data Requirement Maps, Data Quality Assessment, Lineage Clarification, Risk Identification
AI Use Case Definition
Define the problem, value hypothesis, required data, and success criteria before development begins.
Competencies: Problem Statement Definition, Value Articulation, Feasibility Assessment, Success Criteria
Validation, Testing & Governance
Establish appropriate safeguards to ensure models are safe, explainable, compliant, and aligned with the operating model.
Competencies: Validation Frameworks, Governance Pathways, Risk & Compliance Integration, Responsible AI Alignment
Responsible AI
CDF integrates responsible AI safeguards into delivery to ensure models are safe, compliant, explainable, and aligned with real-world impact.
Competencies: Responsible AI Principles, Governance Integration, Risk & Impact Assessment, Audit Pathway Development
AI Lifecycle Monitoring & Drift Management
Support teams in defining monitoring processes, detecting drift, managing updates, and maintaining long-term performance.
Competencies: Monitoring Criteria Development, Drift Threshold Definition, Operational Playbook Definition, Governance Establishment
Model Development Enablement
Coordinate efforts across data science, engineering, product, and business teams to ensure models are clearly defined, properly governed, and aligned with intended outcomes.
Competencies: Delivery Orchestration, Dependency Maps, Requirement Translation, Acceptance Criteria Development
Deployment + Adoption
Guide teams through production handoff, user adoption, workflow adjustments, and delivery readiness.
Competencies: Launch Checklist, User Adoption, Workflow Integration, Success Measurement
AI + Tech Delivery Enablement Outcome
Product, Tech and AI programs progress from concept to sustained performance with clarity, alignment, and confidence.
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