Explainability & Adoption – Build Trust and Drive Usage in 2–4 Weeks
An AI feature only works if people trust and use it. I help you put the right decision guardrails and explainability patterns in place so end users, operators, and stakeholders feel confident — and your adoption numbers climb.
The Process
- Adoption Baseline (Days 1–2)
- Stakeholder Mapping (Days 2–3)
- Explainability Patterns (Days 3–7)
- Guardrails & Governance (Days 7–10)
- Rollout & Enablement (Weeks 2–4)
Review current usage metrics, feedback, and adoption barriers.
Identify each audience — end users, business owners, compliance, execs — and what they need to trust the system.
Select or design model transparency patterns (feature importance, reason codes, confidence scores) that fit your UX and domain.
Define decision boundaries, human-in-the-loop checks, and error handling workflows.
Deliver adoption playbook, training assets, and in-app guidance. Support initial rollout.
What You Get
- XAI Pattern Library — tailored for your domain and user base.
- Adoption Playbook — messaging, training, and rollout sequencing.
- Enablement Assets — slide decks, quick guides, in-app messaging scripts.
- Governance Framework — decision thresholds, escalation paths, compliance checklist.
FAQ
Do you work with regulated industries?
Yes — I have experience with compliance-heavy sectors like finance, insurance, and healthcare.
Can this be done alongside Delivery & Integration?
Yes — adoption planning works best when baked into the delivery timeline.
Will you train our teams?
Yes — I provide live and recorded training as part of the enablement package.
What if our adoption problem is cultural, not technical?
We’ll address messaging, incentives, and process — not just the UI.
Pricing Guidance
Most Explainability & Adoption engagements range from $10,000–$18,000 depending on scope, audience size, and regulatory demands.
Let’s Get Started
Build the trust your AI needs to succeed.