Swibit Solutions
Decision-Making AI
Auditable AI with guardrails and human-in-the-loop.
Overview
Decision support systems that explain their recommendations, document their reasoning, and hand off to humans at the right moments, for regulated workflows where accountability matters.
Capabilities
- Explainable model outputs with reasoning traces
- Human-in-the-loop review queues
- Policy-aware guardrails and adverse-action codes
- Full audit log per decision
- Scenario planning + what-if simulation
- Bias and fairness diagnostics
How we deploy
From discovery to production
- STEP 1
Frame the decision
What action does the model change? If nothing, we don't build it.
- STEP 2
Baseline + lift
Reproduce the current baseline, then measure model lift against it.
- STEP 3
Decision UI
Ship a UI an operator actually uses, not a notebook.
- STEP 4
Operate
Drift monitoring and quarterly recalibration.
Under the hood
Tech stack
Gradient-boosted models + neural netsCausal inferenceStreamlit / custom React UIsOpenTelemetry audit
FAQs
Common questions
Will the regulator accept it?
For citizen-facing decisions, we keep humans in the loop and ship full reasoning traces.
Talk to Swibit
Ready to build sovereign AI?
Tell us what you're working on. We respond within one business day with a clear next step.