AI-Native
AI-Native
From AI-aware to AI-native.
Bring AI into the work itself: an embedded practitioner, role-based training, automation of existing workflows and ongoing measurement.
The context
The tools are available. The change happens in the team.
Buying licenses alone does not change how people work. AI-Native connects leadership, practitioners and daily workflows to build a capability that stays inside the organization.
The workflow
The Transformation Engine
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Choose a workflow
Start with existing work and a measurable question.
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Embed
A Titans practitioner works inside the team.
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Build capability
Training, automation and internal champions.
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Measure and expand
Review adoption, maturity and time saved.
Systems, roles and access boundaries are defined around your environment.
Inside the capability
What the team can do.
Role-based training
Executive and job-role trainings
In-house automation
Automations built in-house, on your own workflows
Champions network
Champions network, one on every team
Maturity measurement
Quarterly AI-maturity scoring, baselined and re-scored
Leadership reporting
Hours-back measurement reported to leadership
The information behind the work
Context the team can use.
- AI-maturity scores per team, baselined and re-scored quarterly
- Usage analytics and hours-back sampling, reported to leadership
- Training curricula, job-role playbooks and the automation library: the institutional memory of the change
Organizational fit
Fit the workflow. Fit the environment.
- Engagement
- An embedded capability combining leadership, training and automation built within the organization.
- What stays with the team
- Training material, role-based playbooks, an automation library and a champions network.
- Bring to the conversation
- A recurring workflow, a team and an accountable owner. Together, define the intended change and how to assess progress.
Before we begin
Questions of fit.
Is this a training course?
Training is one part of the engagement. AI-Native also includes embedded work, automation of existing workflows, internal champions and measurement.
How is progress assessed?
Through AI-maturity assessment, usage data and sampled time savings, reported to leadership. Metrics are defined around the selected workflow.
Does this require every Titans product?
No. Start with the need and workflow. A particular product is considered when relevant, rather than as an automatic bundle.
The next step
Let’s understand what needs to happen in your organization.
Explore AI-Native against a real workflow, existing systems and the people responsible for them.
Talk to us about AI-Native All solutions