Generative Business Intelligence FAQs: Answers for Mid-Market Teams

Generative Business Intelligence lets business users ask questions in natural language and receive validated, decision ready answers. Beye harmonizes data from your systems and files into an AI ready, context aware model and generates deterministic SQL with checks and evidence columns. You get clear explanations and, when useful, time optimized and cost optimized scenarios that move decisions faster with confidence.

No. You can start with multiple systems of record and files including Salesforce, NetSuite, Softeon, BigQuery, CSV, Excel, and Parquet. Our ELT Fabric engine parses, cleans, and harmonizes inputs, while forward deployed engineers capture the unwritten metadata of the data so the model reflects your real workflows and KPI definitions.

Beye commonly ingests Salesforce, NetSuite, Softeon, and BigQuery along with CSV, Excel, and Parquet. Most customers begin with secure file uploads and scheduled exports, and we scope additional sources as needed. Live database connections are not required.

Dashboards are excellent for standardized reporting and month end packs. Beye is decision workflow first and conversation first, so leaders ask a question and receive a validated answer with evidence and ready to compare plans. Most teams keep their dashboards and add Beye to shorten the path from question to action.

Reliability is designed in through context engineering and a shared semantic layer that aligns to your KPIs and vocabulary. The agent breaks problems into smaller steps, uses a decision gate with a mixture of models from OpenAI, Gemini, and Anthropic, and produces one deterministic SQL plan with checks on joins, filters, time windows, and totals. Telemetry and human in the loop feedback improve fidelity over time and missing inputs are called out with next steps.

We start with one high impact use case that is a needle mover and define the goals and success criteria. Beye harmonizes your data, builds the semantic layer, and pre seeds the workspace to avoid cold start while our forward deployed engineers guide change management and education. Most customers stand up a working environment in less than two weeks.

Proof of value is 8 weeks. Weeks 1 to 2 align data and KPIs and build the model, weeks 3 to 6 run questions, scenarios, and tuning, and weeks 7 to 8 finalize a decision packet and rollout plan. You leave with a working workspace, saved views, and a clear expansion path.

Subscription typically starts at 6000 to 8000 per month based on use case complexity. Pricing can change as you add more use cases, deeper context engineering, and higher data volume. Subscriptions are all in and not per user, and include a 30 day opt out.

Most teams begin with secure uploads and scheduled exports from their systems of record. We persist history and lineage so results are consistent and auditable, and we set refresh schedules that match your operational cadence. If you need additional connections we scope them during onboarding.

You control what you send to Beye. Data is encrypted in transit and at rest, we are SOC 2 Type II and a Google Cloud Partner, and role based access keeps each workspace scoped to the right users. For details visit the Trust Center.

Choose a weekly or daily decision where delay is expensive and the KPI is well known. Examples include stockout recovery, OEE improvement, AR collections focus, and pricing realization. Our forward deployed team helps define success criteria and delivers a quick win before expanding.

Keep Power BI and ERP reports for standardized reporting and audit trails. Reuse KPI definitions in Beye so numbers stay consistent across tools and use the conversational agent to move from question to validated answer in minutes. This coexistence path reduces change risk and speeds time to value.