Question 1

What is an AI operating model?

Accepted Answer

An AI operating model is the structured way your organization adopts, governs, and scales AI across teams. It defines the pilots you run, the metrics you track, the integrations you build, the playbooks your teams follow, and the ownership model that keeps you independent of any single vendor.

Question 2

How do you measure ROI on AI in support or engineering?

Accepted Answer

We baseline the metric that matters — cost per ticket, cycle time, first-contact resolution, or hours-per-deployment — for 2–4 weeks before the pilot. Then we measure the same metric after the pilot. ROI is the delta multiplied by annual volume, minus the cost of the engagement.

Question 3

How long does an AI pilot take?

Accepted Answer

Most pilots run 4–6 weeks of measured work, plus 1–2 weeks to document the playbook. Total time to first measurable outcome is typically 6–8 weeks. Scaling to additional teams afterwards usually adds 2–4 weeks per team, with no additional consulting cost.

Question 4

How is this different from ChatGPT, Zendesk bots, or DIY AI tools?

Accepted Answer

Off-the-shelf bots aren't connected to your CRM, knowledge base, billing, or product systems, so they hallucinate or escalate everything. Our approach integrates AI with your business logic, your data sources, and your existing helpdesk — and we hand you the playbook so you stay in control.

Question 5

How do you handle PII, CCPA, and HIPAA?

Accepted Answer

Sensitive data is processed inside your own cloud or VPC where required, with redaction at the boundary, scoped access, and full audit logs. We map your compliance requirements (CCPA, HIPAA, SOC 2, GDPR) into the design before any production data touches a model.

Question 6

Will AI replace our support agents or engineers?

Accepted Answer

No. AI handles the routine 30–40% so your team can focus on complex, high-value work. In every engagement we've run, agent satisfaction has gone up — not down — because repetitive work is removed and people spend more time on interesting problems.

Question 7

What does an AI playbook contain?

Accepted Answer

Workflow definitions, prompt libraries, escalation rules, integration diagrams, evaluation criteria, on-call runbooks, and a measurement dashboard. It's the operating manual your team uses to extend AI to new teams without re-hiring consultants.

Question 8

How does Mejix avoid vendor lock-in?

Accepted Answer

We build on standard, model-agnostic stacks (OpenAI, Anthropic, Gemini, open-source). Your prompts, evaluations, and integrations live in your repos. You can swap models, providers, or even consultants without rebuilding — the playbook is yours to keep.

AI Solutions for Enterprise Teams

Most AI initiatives stall because there's no operating model behind them.

The series, so far

AI Operating Model for Enterprises

AI-Powered Customer Support Automation

More presentations coming soon

Four pillars behind every Mejix AI rollout

Pilot

Playbook

Scale

Ownership

What enterprise teams ask before starting

How can we help?