Portfolio & AI Redesign
Single-process analysis tells you how one process is doing. Portfolio analysis tells you where to spend your next month of effort. On top of both, an AI layer turns findings into concrete recommendations and lets you interrogate the results in plain language.
Portfolio analytics
When you analyze a whole project, Logic Insights produces a roll-up across every process. This is the view a transformation lead or a head of operations actually needs: not one report per process, but a ranked picture of the entire estate.
| Output | What it tells you |
|---|---|
| Average Health Score | The overall health of the estate in one number |
| Critical / High / Medium / Low counts | How processes distribute across risk tiers |
| Automation Maturity Tier | Where the portfolio sits on Initial, Defined, Managed, or Optimized, from average automation |
| Clone Groups | Clusters of processes that are structurally near-identical, and therefore candidates to consolidate |
| Actor Overload Risks and Actor Loads | Which people are overloaded across the whole portfolio, not just within one process |
| Impossible SLA Count | How many processes are set up to miss their SLA |
| Portfolio Risk Score | A single aggregate measure of portfolio risk |
Clone detection is especially valuable in mature environments where the same process has been copied and lightly edited many times. Logic Insights groups near-identical processes so you can standardize them into one, which cuts maintenance cost and risk at a stroke.
Automation maturity places the portfolio on a recognized ladder, which is exactly the framing an executive audience expects when you ask for investment in automation.
AI redesign recommendations
For any process, the RedesignAgent reads the computed analysis and proposes a set of concrete, prioritized improvements, each scored by effort and expected impact. Because the recommendations are grounded in the metrics, the simulation, and the detected defects, they target the things that will actually move the health score rather than generic advice.
Redesign output is tuned by a per-project redesign appetite:
| Appetite | Behavior |
|---|---|
| Conservative | Prefers low-risk, incremental changes; avoids removing or merging stages unless clearly redundant; favors low and medium effort |
| Balanced | Weighs impact against effort; mixes quick wins with a few higher-effort structural changes |
| Aggressive | Pursues ambitious structural change; consolidates, automates, and removes stages boldly where it materially raises the health score |
Redesign can be regenerated on demand for a single process, so you can explore a more or less aggressive plan without re-running the whole analysis.
Industry benchmarking
The IndustryBenchmarkAgent scores each process against a configurable set of benchmark dimensions such as automation rate, SLA coverage, governance maturity, actor concentration risk, process complexity, and documentation quality. If you declare an industry for the project, the benchmark is anchored to that sector instead of being inferred from the data, which produces a more relevant comparison.
Regulatory mapping
The RegulatoryMappingAgent maps a process and its controls to the regulatory frameworks that apply to you. The default set is GDPR, SOX, ISO 9001, HIPAA, PCI-DSS, and ISO 27001, and it is fully configurable per project. This gives risk and compliance functions a starting map of which processes touch which regulations.
Chat
You can ask questions about the results in natural language, at two levels:
- Chat with a process to dig into a single process: why its health score is what it is, what the simulation implies, what to fix first.
- Chat with the portfolio to reason across the estate: which processes are the biggest risks, where the clone groups are, who is overloaded.
Because the chat is grounded in the computed analysis, answers are specific and cite real numbers rather than speculating from a diagram.