Cayenta AI Dashboard
Acting as:
Cayenta AI Dashboard
Acting as:
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| Level 0: Traditional / Manual Humans execute daily operations with minimal or ad-hoc AI use. |
Level 1: AI Assisted Humans execute daily operations but consistently apply AI as a co-pilot for individual tasks. |
Level 2: AI Directed Humans set intent and specifications; AI executes multi-step workflows and prompts for human validation. |
Level 3: AI Delegated AI runs asynchronously as a system of agents to execute end-to-end processes; humans review exceptions. |
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|---|---|---|---|---|
| How AI is leveraged | Sporadic, ad-hoc task support | Consistent AI assistance used by individuals to boost personal productivity | AI acts as a team member executing complex workflows under human direction | A delivery system of AI agents operating autonomously in the background |
| Examples by Dept | All: Occasional use of AI (Matcha, etc.) to draft a tricky email, check a formula, or debug a script. | Sales: AI drafts outreach emails. PS: AI summarizes discovery meetings. Support: AI polishes ticket responses. R&D: AI suggests code snippets. Refer to AI Maturity in the SDLC for more details. |
Sales: AI generates full RFP drafts from past data. PS: AI writes data-mapping scripts for utility migrations. Support: AI diagnoses complex CIS billing errors and suggests fixes. R&D: AI generates code and tests from specs. Refer to AI Maturity in the SDLC for more details. |
Sales: AI autonomously nurtures leads and schedules meetings. PS: AI agents run and validate automated environment provisioning. Support: AI resolves Tier 1/2 tickets end-to-end. R&D: AI autonomously triages, builds, and tests bug fixes. Refer to AI Maturity in the SDLC for more details. |
| Work unit | Isolated Tasks | Standardized Tasks | Multi-Step Workflows / Projects | End-to-end Business Processes |
| Operating Model | Traditional business processes remain intact. | Traditional processes remain intact, execute faster. | Processes are redesigned into an AI-guided pipeline. | Process steps collapse into an asynchronous AI agent loop. |
| Timing | Weeks / Days | Weeks / Hours | Hours / Minutes | Minutes / Real-time (asynchronous) |
| Value measured | Standard KPIs (Win rate, Time-to-go-live, MTTR, Cycle time). | % of employee time saved / % of daily tasks influenced by AI. | Process velocity / % of workflow steps automated. | % of processes fully deflected from human queues / Cost-to-serve reduction. |
| Impact | Baseline | 1x improvement (Incremental efficiency) | Up to 5x improvement (Step-change efficiency) | 10x – 20x+ improvement (Transformational scale) |