BEAS Solution 01 / 22

Business narrative

Ask your data. Ship the answer.

Turn operational questions into trusted reports, shared widgets, and living management boards — without waiting on a technical project queue.

Use-case led Stakeholder ready Outcome focused
Agenda 02 / 22

Today’s briefing

What we will cover

  1. 01
    The business problemWhy every question becomes a report ticket
  2. 02
    Solution frameQuestion → trusted answer → shared asset
  3. 03
    Eight working pathsFrom connected data to executive boards and email digests
  4. 04
    One-week narrativeOperations, finance, and leadership in the same workspace
  5. 05
    Outcomes & startExplore on Free, scale with Enterprise

This briefing focuses on business outcomes and usage stories — not infrastructure, setup, or code.

Chapter 03 / 22

Chapter one

Decision speed is lagging report speed

Leaders ask in the room. Answers arrive after the context has already moved on.

Business problem 04 / 22

Current vs. desired state

From ticket queues to trusted answers

hourglass_top What teams face today

  • An executive asks: “Why did cancellations rise this week?”
  • An analyst opens a ticket; Excel / BI backlogs pile up
  • By the time the answer lands, the context has shifted
  • The same KPI reads differently across boards
  • Weekly digests are rebuilt from scratch every time

bolt What leaders need

  • Questions answered in minutes, in the company’s own data and language
  • A correct answer becomes a widget or board once — then reused
  • “Revenue”, “active subscriber”, and “SLA” mean the same everywhere
  • Unusual swings surface early
  • Executive summaries arrive on a planned email cadence
Product promise 05 / 22

Value proposition

Ask your data. Ship the answer.

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.

QuestionIn meeting language
AnswerIn the same conversation
AssetWidget / board / email
TrustYour data + your lexicon

Commercial note

AI calls run on your own access credentials. BEAS does not bill your LLM usage. Explore on the Free plan; grow capacity with Enterprise.

Operating model 06 / 22

End-to-end path

From connected data to decision output

database 01 Connect data
menu_book 02 Teach business language
chat 03 Ask & understand
dashboard 04 Publish shared assets
notifications_active 05 Monitor & summarize

Preparation

Operational sources, approved datasets, business glossary, and example questions. This is how the assistant learns your company.

Outcomes

Live reports, management boards, anomaly alerts, and scheduled email digests — the language of decision meetings.

Workspace home screen

Home: attention items and metrics for the team at a glance.

Audience 07 / 22

Who it serves

Four roles, one workspace

apartment

Workspace administrator

Invites the team, manages access, and keeps data sources ready for business use.

analytics

Analyst / reporter

Asks questions, turns correct answers into widgets and boards, and schedules recurring digests.

groups

Business user

Asks daily questions in their domain — sales, operations, finance — without opening tickets.

visibility

Executive / viewer

Follows live boards and email digests; opens shared views when deeper context is needed.

Chapter 08 / 22

Chapter two

Working paths that map to real work

Each use case is a concrete journey from a business question to a durable outcome.

Use case 01 · Connect data 09 / 22

Operational sources

Make living systems askable

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 screen

Data connectors: open business systems to reporting.

Use case 02 · Search / matching data 10 / 22

Matching workloads

Bring matching work into Report

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.

Business story

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.

Use case 03 · Data preparation 11 / 22

Trusted datasets

Keep report data approved and clean

Data preparation flow

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.

  1. DefineOne source set for the weekly sales summary
  2. ApproveThe business owner reviews and publishes the set
  3. ConsumeReport and boards query only the published set

Outcome: “Which Excel is correct?” debates end.

Use case 04 · AI Report 12 / 22

Conversational analytics

Ask in meeting language — get the answer in the same thread

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 chat screen

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

Use case 05 · Business context 13 / 22

Company lexicon

Teach the assistant your language

AI Context screen

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.

Example business rule

“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.

Use case 06 · Save examples 14 / 22

Institutional memory

Pass a good answer forward

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.

01Good answer
02Save as example
03Guide next questions
04Less rediscovery

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.

Use case 07 · Widgets & shared KPIs 15 / 22

Reusable measures

Turn a correct answer into a lasting metric

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

Widget studio: promote an answer into a reusable asset.

Use case 08 · Executive boards 16 / 22

Living management views

Replace static slides with an operations board

Dashboard view

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.

Example board set

Weekly trading review: revenue, margin, late orders, NPS, open anomaly count — one date range.

Outcome: A living management board instead of a slide cycle.

Use case 09 · Live business systems 17 / 22

Controlled system access

Speak safely with systems of record

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.

Use case 10 · Anomalies 18 / 22

Early signals

See unusual movement early

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 screen

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

Use case 11 · Scheduled insight 19 / 22

Leadership cadence

Automate the tempo management expects

Insight Jobs screen

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.

Example schedule

Every Monday 08:30 — “Executive weekly brief” (revenue, margin, open anomalies, late orders).

Outcome: Proactive reporting aligned to leadership cadence.

Narrative 20 / 22

Composite story

One week in a trading company

Mon
Executive email arrives. Weekly digest: revenue near target, return-rate warning. Leadership opens the board.
Tue
Operations asks in Report: “Which SKUs are driving the return spike?” The answer is saved as a widget.
Wed
Data owner approves and publishes the new weekly sales set. The old Excel debate closes.
Thu
Sales lists pending quotes via a live API and requests approval for one update.
Fri
Finance resolves a margin question quickly with an example-guided assistant and prepares the board for the weekly review.
Outcomes & start 21 / 22

Business impact

What changes — and how you begin

Speed

Ad-hoc questions are answered without a ticket queue.

Consistency

KPI definitions unify across widgets and boards.

Trust

Answers are grounded in your data and business language.

Governance

Roles, approvals, and audit trails support compliance conversations.

Early warning

Anomalies do not require a separate tooling island.

Cadence

Scheduled email digests fit leadership tempo.

  1. Create a workspaceExplore on Free after email verification.
  2. Connect your AI accessCalls use your credentials; BEAS does not bill LLM usage.
  3. Open a first datasetUpload a file or connect an operational source; define business language briefly.
  4. Ask a real questionPromote the correct answer to a widget or board; schedule a weekly digest.
  5. ScaleMove to Enterprise when users, quotas, and capacity grow.

Free

€0 · exploration · limited users and quotas · bring your own LLM key

Enterprise

Custom capacity and terms · unlimited users · contact@beassolution.com

Close 22 / 22

Next step

Ask your data. Publish the answer.

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.

01Connect
02Teach
03Ask
04Share
05Monitor

BEAS Solution · ai-report.beassolution.com · contact@beassolution.com