Insights Topic
Published INVISOM articles connected to model evaluation.
8 articles
All insightsIntelligent AutomationComparison
Most processes need judgment at a few steps, not everywhere. Build the process spine as a deterministic workflow, use RPA only where there is no API, and give agents the narrow steps where judgment over messy input actually pays.
Knowledge IntelligenceComparison
At the frontier, the best model changes with the month, the referee and the effort setting. Price and deployment route differ by orders of magnitude. Choose the route and build the evaluation capability; treat the model as a replaceable part.
Intelligent AutomationComparison
Both tools are now capable agentic engineers. The decision that matters is less which one you choose than how you deploy it: through which cloud, with which permissions, inside which pipeline, and measured against what.
Knowledge IntelligenceComparison
Regional models win on dialect, control and cost per Arabic document, not by default. Public leaderboards mostly test exam-style standard Arabic, so the choice belongs to an evaluation set built from your own users.
GovernanceFramework
Most enterprises already have AI principles. Very few can show an auditor, a regulator or a tribunal the control that made a principle true for a specific system on a specific day. That gap, not the principles, is where responsible AI programs fail.
Decision IntelligenceArchitecture Guide
Model risk management was built to answer whether a model is sound. Regulators, courts and customers now ask a different question: why was this decision made, and who was accountable for it? Trusted decision intelligence is built around the decision record, not the model.
Knowledge IntelligenceImplementation Guide
Most RAG teams tune prompts and swap models. The measurable gains are in retrieval, and the failures you cannot undo are in permissions and injected content. Build from the index outward, and let evaluation decide what ships.
Enterprise AIFramework
Most AI value claims are not wrong so much as unproven. The fix is to design the measurement before the build: a baseline, a credible comparison group and metrics finance has already agreed to accept.