Step 1
Readiness checkpoint
Inventory tools, policies, and stakeholders before designing any training.
Services
Give your team the guidance, docs, and playbooks to run AI-powered processes safely.
Book Discovery CallStep 1
Inventory tools, policies, and stakeholders before designing any training.
Step 2
Design operational, leadership, and governance sessions with demos and decision reviews.
Step 3
Document each automation, its guardrails, and the human touchpoints that matter.
Step 4
Walk operators through runbooks and hold follow-up sessions to reinforce responsibility.
Example scenario: Customer success team exploring AI responses.
Situation: Agents fear bots will bypass needed empathy or compliance reviews.
Automation: Co-pilot scripts that prep responses but await manager sign-off on sensitive topics.
Guardrails: Defined escalation filters, review queues, and response audits.
Outcome: Team grows comfortable with the tool while trusting the checks before sending.
Example scenario: Finance team learning to trust suggestion engines.
Situation: Risk of approving invoices without context or policy verification.
Automation: Prompted summaries plus “accept with comment” controls for reviewers.
Guardrails: Human approval required when flags appear; overrides logged.
Outcome: Finance leaders know when to step in and when to let automation run.
Next step
We pair coaching, documentation, and QA so humans stay confident with new automation.
Typical session is 30–45 minutes.