Federal agencies are under pressure to make faster, smarter decisions in increasingly complex environments. Many still rely on a stitched-together solution stack built from:
- A BI tool like Tableau or Qlik
- A backend database
- A systems integrator to glue it all together
Instead of wrangling dashboards or waiting on integrators, decision-makers can ask complex questions in natural language — and CORAS answers with live insights, simulated outcomes, and ready-to-act workflows.
Why CORAS Outperforms the BI Stack:
- Built-in Decision Tools: Driver trees, readiness models, tradeoff engines, and SmartBoards support portfolio planning, performance tracking, and program alignment across POM, PPBE, and FYDP cycles..
- AI That Understands and Executes
- Gary, the conversational AI interface, lets users ask complex questions in natural language and routes them to the right tools or agents — from “what-if” scenarios to document creation assistance.
- Embedded AI capabilities include predictive analytics, NLP, similarity analysis, and auto-classification — working together to uncover risk, surface insight, and accelerate action.
- Embedded Workflow & Automation: CORAS includes a configurable workflow engine for forms, approvals, alerts, and task routing — enabling fast, traceable execution without handoffs to email, Excel, or disconnected systems.
- Operational Ownership Without Integrator Lock-In: CORAS is low-code, fully configurable, and offered with flexible sustainment tiers (Bronze to Gold), so customers retain control over evolution and scaling — without long-term services contracts.
- Mission-Ready from Day One: IL5-certified, FedRAMP High, deployable across SIPR/NIPR/JWICS, and natively aligned with TRLs, UFRs, and defense performance frameworks.
Outcome: From Toolchain to Decision Chain
CORAS eliminates the multi-vendor complexity of traditional BI + database + integrator stacks. It empowers program teams to go from insight to action — without waiting, reformatting, or rebuilding.
One vendor. One platform. One decision fabric.
CORAS vs. Traditional BI + Database + Integrator Stack
Category |
CORAS (One Platform) |
Qlik/Tableau + Database + SI |
|
|
|
AI Capabilities |
Full-stack AI: LLM (Gary), predictive analytics, NLP, similarity analysis, auto-classification |
❌ None native; requires external tools and custom ML pipelines |
AI Agents |
Built-in agents perform What-If modeling, document generation, SmartBoard updates, and workflow triggers — all orchestrated by user intent |
❌ Not available — requires manual effort or custom-coded automation |
Scenario Planning |
Live “what-if” simulations with SmartBoards and AI agents |
❌ Manual, often spreadsheet-based |
Built-in Decision Tools |
Driver trees, tradeoff models, POM/PPBE structures, readiness engines |
❌ Must be built from scratch by SI |
Workflow Automation |
Native, configurable workflow engine with forms, alerts, task triggers |
❌ External or custom-built |
Data Integration |
Real-time ingest via APIs + structured/unstructured formats (Excel, PDF, JSON) |
Complex, brittle ETL setups |
User Experience |
Ask in natural language, act through SmartBoards |
Requires dashboard training and BI fluency |
Security and Compliance |
IL5 P-ATO, FedRAMP High, SIPR/NIPR/JWICS-ready; all AI and workflows operate within secure boundary |
Enterprise security possible, but requires setup; AI typically runs outside core boundary |
Ownership Model |
Low-code configurability + sustainment (Bronze–Gold) |
SI-dependent for updates and expansion |
Total Cost Profile |
Predictable SaaS with advisory options |
High TCO: licenses, support, integration, SI lock-in |
Vendor Count |
1 |
3+ |
👉 Request a demo tailored to your unique challenges at coras.com
