Decisions

What is Decisions AI

Decisions AI is a low‑code automation platform purpose‑built for AI‑enhanced decisioning. It enables teams to model business rules, orchestrate workflows, and automate complex processes without heavy custom code. Combining a visual approach with enterprise depth, Decisions AI unifies a business rules engine, workflow management, process mining, data integrations, and interface designers in one environment. Organizations can design, test, and deploy decision logic, connect systems end‑to‑end, and continuously optimize operations with analytics, monitoring, and governance.

Main Features of Decisions AI

• Visual rules engine: Drag‑and‑drop rule design, decision tables, and scorecards to capture complex business logic that is easy to audit and update.
• Workflow automation: Orchestrate multi‑step processes with branching, parallel tasks, SLAs, and exception handling.
• AI‑enhanced decisioning: Blend predictive models with deterministic rules to improve accuracy and speed of decisions.
• Process mining and optimization: Discover bottlenecks from event logs, simulate scenarios, and refine flows for higher throughput.
• Rich integrations: Prebuilt connectors, APIs, and webhooks to link CRMs, ERPs, databases, and microservices.
• Interface designer: Build responsive forms, dashboards, and internal apps to capture data and guide users.
• Testing and version control: Sandbox, A/B testing, and rollback support for safe, governed releases.
• Monitoring and analytics: Real‑time dashboards, KPIs, and alerts to track performance and compliance.
• Security and governance: Role‑based access, audit trails, and approval workflows for regulated environments.
• Deployment flexibility: Cloud or on‑premises options to meet IT and data residency requirements.

Who Can Use Decisions AI

Decisions AI serves business analysts, operations leaders, and IT teams who need to automate rules‑driven processes at scale. It fits use cases in banking, insurance, healthcare, manufacturing, logistics, retail, and public sector—such as onboarding, claims, approvals, order‑to‑cash, compliance checks, and case management. Non‑developers can prototype quickly, while engineers extend with integrations and APIs, making it a collaborative platform for enterprise automation.

How to Use Decisions AI

1. Define objectives: clarify the decision outcomes, SLAs, and compliance requirements.
2. Connect data: configure integrations to systems of record and event sources via connectors or APIs.
3. Model rules: capture policies with visual decision tables, flows, and reusable rule sets.
4. Design workflows: build end‑to‑end processes with tasks, escalations, and exception paths.
5. Create interfaces: use the form and page designer to collect inputs and guide users.
6. Infuse AI: plug in predictive models where probabilistic scoring improves decisions.
7. Test and simulate: run unit tests, what‑if scenarios, and A/B experiments in a sandbox.
8. Deploy: publish to cloud or on‑prem environments with version control and approvals.
9. Monitor: track KPIs, errors, and throughput with dashboards and alerts.
10. Optimize: use process mining insights to remove bottlenecks and fine‑tune rules.

Decisions AI Use Cases

Insurers automate first notice of loss, fraud screening, and claims adjudication with rule‑based workflows. Banks streamline loan origination, KYC/AML checks, and credit decisioning by combining policies with risk models. Manufacturers manage order‑to‑cash, supplier onboarding, and quality exceptions. Healthcare organizations coordinate prior authorizations and care pathways. Retailers orchestrate pricing approvals, returns, and customer service case routing—improving cycle times and compliance.

Decisions AI Pricing

Decisions AI is generally offered via quote‑based enterprise licensing, with tiers that reflect deployment model (cloud or on‑premises), environments, usage, and integration breadth. Prospective customers typically engage through a discovery call and product demonstration, with proof‑of‑concept options available for complex requirements. For an accurate estimate, contact the vendor’s sales team with your scope and scale.

Pros and Cons of Decisions AI

FAQs about Decisions AI

• Does Decisions AI require coding?

  No. Most automation is built with visual designers, while developers can extend capabilities via APIs and custom integrations.

• Can it run on‑premises?

  Yes. It supports cloud and on‑premises deployment to meet security and data residency needs.

• How does it handle complex rules?

  Through decision tables, rule sets, and flow logic with testing, simulation, and version control for safe changes.

• Is AI mandatory?

  No. You can automate with deterministic rules alone and later add predictive models where beneficial.

• What industries benefit most?

  Banking, insurance, healthcare, manufacturing, retail, logistics, and public sector use it for decision‑intensive processes.