Business narrative
Turn operational questions into trusted reports, shared widgets, and living management boards — without waiting on a technical project queue.
Today’s briefing
This briefing focuses on business outcomes and usage stories — not infrastructure, setup, or code.
01
Chapter one
Leaders ask in the room. Answers arrive after the context has already moved on.
Current vs. desired state
Value proposition
BEAS AI Report lets business teams ask questions in natural language, receive answers as text, tables, charts, or KPIs, and promote those answers into shared organizational assets.
AI calls run on your own access credentials. BEAS does not bill your LLM usage. Explore on the Free plan; grow capacity with Enterprise.
End-to-end path
Operational sources, approved datasets, business glossary, and example questions. This is how the assistant learns your company.
Live reports, management boards, anomaly alerts, and scheduled email digests — the language of decision meetings.
Home: attention items and metrics for the team at a glance.
Who it serves
Invites the team, manages access, and keeps data sources ready for business use.
Asks questions, turns correct answers into widgets and boards, and schedules recurring digests.
Asks daily questions in their domain — sales, operations, finance — without opening tickets.
Follows live boards and email digests; opens shared views when deeper context is needed.
02
Chapter two
Each use case is a concrete journey from a business question to a durable outcome.
Operational sources
Connect tables and collections from systems that run orders, subscriptions, inventory, or billing. After discovery, relationships are described in business language and Report can query live.
Example question
“What share of Istanbul-region orders were late in the last 30 days? Break it down by channel.”
Outcome: The same definition, answered in the ops meeting — no ticket wait.

Data connectors: open business systems to reporting.
Matching workloads
Bring search indexes from product, customer, or record-matching work into the assistant context under control — so questions like “why did unmatched records rise?” can be asked in Report language.
The master-data team once scanned unmatched SKUs in Excel every morning. Anomalies and Report now answer “which supplier is drifting?” in the same vocabulary.
Example question
“Which categories fell below 90% success on matching jobs created yesterday?”
Outcome: Quality and procurement discuss the same table.
Trusted datasets

Data prep: source → output → approval → publish.
When building report sets from raw files or combined sources, approval steps and privacy rules apply. The published set becomes the trusted data the team asks against.
Outcome: “Which Excel is correct?” debates end.
Conversational analytics
Leaders and analysts write the question they already ask. The answer returns as text, table, chart, or KPI summary. Forecast views require explicit confirmation when needed.
Sample dialogue
“How did gross margin change by product family in Q3? Show the three families that declined most.”
The assistant returns a table plus a short commentary. The user asks to see it as a chart — visualization appears in the same conversation.
Outcome: No ad-hoc report ticket queue.

AI Report: question, history, and output formats on one surface.
Company lexicon

AI Context: policies, data meaning, relationships, examples.
Approved policy documents, definitions such as “what is an active subscriber?”, how tables join, and successful question examples become the assistant’s preferred source — your glossary over guesswork.
“Cancellation” means only orders closed by customer request; system timeout cancellations are a separate KPI. Once written into context, every report speaks the same language.
Outcome: Answers stay aligned with your status codes and KPI definitions.
Institutional memory
A successful query pattern is saved as an example. On similar questions later, the assistant uses those examples as guidance — team knowledge accumulates inside the product.
Scenario
Finance locked the “collection delay” definition after three attempts. Once saved, similar questions from regional managers land in the right frame on the first try.
Outcome: Institutional memory grows inside the conversation.
Reusable measures
When a chart or table is right, save it as a widget. The same metric definition is shared across boards — “revenue” is the same number everywhere.
Example
“Net new subscribers (month)” is defined once. Sales boards, finance boards, and executive emails all use that definition.
Outcome: A single source of truth.

Widget studio: promote an answer into a reusable asset.
Living management views

Dashboard: shared date range, filters, drill-down, export.
Assemble widgets on a board. Shared date filters, click-to-filter, drill-down, PDF/Excel export, and view-only share links keep stakeholders current.
Weekly trading review: revenue, margin, late orders, NPS, open anomaly count — one date range.
Outcome: A living management board instead of a slide cycle.
Controlled system access
Register HTTP business APIs so Report can list, summarize, or — with approval — propose changes to live records. Every write-class action goes through Approve / Reject with a human in the loop.
Read example
“Summarize the first 20 product orders opened today with status ‘Pending’.”
Write example (approved)
“Update the delivery note on this order.” → draft is created → a manager approves or rejects.
Outcome: Chat becomes a controlled bridge to the system of record — you keep control.
Early signals
Define monitoring on key metrics. Inspect open events and explain what changed with Report. Operational changes remain subject to human approval.
Example
When daily return rate crosses a threshold, an event opens. An analyst asks Report “which product family drove it?”; root cause lands on the board and in the weekly digest.
Outcome: Early awareness without a separate monitoring island.

Anomalies: definitions, sync, and events on your business metrics.
Leadership cadence

Insight Jobs: periodic summary → AI commentary → email.
Define recurring reports once — weekly KPIs, risk summaries, channel performance. When due, a digest is produced and delivered to the right inboxes without rebuilding every time.
Every Monday 08:30 — “Executive weekly brief” (revenue, margin, open anomalies, late orders).
Outcome: Proactive reporting aligned to leadership cadence.
Composite story
Business impact
Ad-hoc questions are answered without a ticket queue.
KPI definitions unify across widgets and boards.
Answers are grounded in your data and business language.
Roles, approvals, and audit trails support compliance conversations.
Anomalies do not require a separate tooling island.
Scheduled email digests fit leadership tempo.
€0 · exploration · limited users and quotas · bring your own LLM key
Custom capacity and terms · unlimited users · contact@beassolution.com
Next step
BEAS AI Report helps business teams converse with their own data, turn correct answers into organizational assets, and accelerate decision cadence with boards, alerts, and scheduled digests.
BEAS Solution · ai-report.beassolution.com · contact@beassolution.com