Decision Intelligence Performance Mobile

Your data and AI investments, turned into operational performance.

We turn your analyzes into executed decisions, right where they need to be made.

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  • Faster decisions
    A signal becomes a named, bounded and prioritized decision.
  • Field actions
    The owner knows what to do, when to act and in what context.
  • Human control
    AI assists, accountability remains visible and governed.
  • Measurable impact
    Decision time, action, trace and result remain observable.
Tail signal 12 mins
Forecast drift detected Source: Power BI + CRM
Priority 1
Campaign above the CAC threshold Source: BigQuery
Priority 2
Data Signal Decision Owner Action Trace
Oneboard Decision
Action required

Reprioritize field accounts at risk

Owner
Regional Director
Trigger
Risk score > 72
Minimal trace
Motive, action, result
See the action
61%
61% of executives surveyed say that at least half of the time spent making decisions is ineffective.
250 M$
Decision-making frictions have a massive economic cost, even when they remain barely visible.
3.6x
Companies with high decision-making efficiency outperform: 3.6x in EBT growth
<20%
82% of time is spent searching, managing and governing data; less than 20% is devoted to analysis.

Indicative sources: McKinsey, Bain, IDC, Capgemini, Accenture.

Issue

Your dashboards show what's happening. They do not say what to do and who should act.

Companies have already invested in data, BI, cloud and AI. However, the decisions Criticisms often remain slow, fragmented, discussed in meetings and difficult to explain afterwards.

  • The same figures produce different arbitrations depending on the teams.
  • The dashboards are consulted, but the action is coordinated elsewhere.
  • Decisions still depend on implicit rules.
  • AI accelerates analysis without structuring accountability alone.

Real blockage

When a decision is unclear, more data is not enough.

Performance depends on the clarity of the scope, the owner, the thresholds, the exceptions, of the expected action and the trace kept.

Unnamed decision

The signal exists, but the target decision remains too broad or implicit.

Dispersed responsibility

Business, data, IT and operations share the subject without a clear owner.

Variable rules

The referees change depending on the team, the moment and the person present.

Trace missing

The signal, decision, action and result link disappears after execution.

The promise

Sweeft transforms your critical signals into clear, assigned, traced and actionable decisions.

We start from your existing dashboards and signals to clarify the decision they should serve, assign an owner, link the action and keep a usable trace.

  1. Data Governed sources
    Entrance
  2. Signal Contextualized anomaly
    Detected
  3. Owner Visible manager
    Assigned
  4. Decision Bounded arbitrage
    To frame
  5. Action Explicit next step
    To do
  6. Trace Justification retained
    Newspaper
  7. Result Impact observed
    Measure
  8. Learning Continuous improvement
    Loop
01

The sources remain governed.

Power BI, CRM, cloud data or business files continue to be the reference systems.

02

The signal is isolated.

Sweeft extracts the useful anomaly, its context and the threshold that merits intervention.

03

An owner becomes visible.

The next responsible person is no longer implicit in a dashboard or meeting.

04

The decision is framed.

The scope, rules, exceptions and deadline give a usable form to the choice.

05

The action takes place on the ground.

The owner receives a concrete, mobile-native step, with the context needed to act.

06

The trace remains available.

Reason, action, person responsible and result can still be consulted to understand the arbitration after the fact.

07

The result becomes measurable.

Performance does not stop at consultation: it links signal, decision, execution and impact.

08

The loop learns.

Thresholds, rules and responsibilities improve based on decisions actually made.

Framework

The DARE Framework to move from data to operational decision.

DARE makes the problem treatable, progressive and measurable: diagnose, architect, create and then develop the decision-making system.

D

Diagnose

Identify critical decisions and current frictions.

A

Architect

Formalize the rules, roles, thresholds, exceptions and traces.

R

Realize

Activate signals in operational uses.

E

Evolve

Measure, learn from the field and improve decisions.

Decision object

A critical decision becomes a clear, governed and improvable object.

Decision Model Card Field commercial forecast
Target decisionReprioritize customer visits
OwnerRegional manager
TriggerHigh account risk
VariablesPipeline, delay, capacity
SourcesCRM, BI, cloud data
RulesThresholds and exceptions
Expected actionVisit, climbing or arbitration
TraceReason, validation, result

The Sweeft Journey

A progressive journey to make your decisions faster, more reliable and more actionable.

Each step produces a useful deliverable in itself and makes the next step logical.

  1. 1
    QuickScan / SelfScan

    Bring out frictions.

  2. 2
    Diagnosis

    Objectify critical decisions.

  3. 3
    Architecture

    Formalize the target system.

  4. 4
    Oneboard Execution

    Enable in operations.

  5. 5
    Extension

    Industrialize other decisions.

Offers

Start small, structure just right, then activate.

Offer 1

In 4 days, identify where your critical decisions are really blocking you.

Go from “we have data, but decisions remain difficult” to a clear project.

  • Prioritized list of critical decisions
  • Mapping of the current system
  • Maturity score Decision Intelligence
  • Prioritized gap backlog
Run a Diagnostic
Offer 2

Formalize the rules, roles and traces that make your decisions reproducible.

Move from intuitive or fragmented decisions to a shared, governed, and actionable model.

  • Decision Model Cards
  • Decision-making governance and RACI
  • Decision log
  • Roadmap 30-60-90 days
Structuring the Architecture
Offer 3

Enable your decisions in operations with Oneboard.

Transform a validated model into executed, tracked, and optimized decisions in daily workflows.

  • Decision signals
  • Validation workflows
  • Decision log
  • Continuous learning loop
See Oneboard in action

Oneboard

A mobile-native layer between your data signals and your field actions.

Oneboard completes the existing stack by transforming governed signals into decisions usable by teams, directly in the context where the action must occur.

  • Connection to existing data, BI and cloud stack
  • Contextualized and bounded signals
  • Owner visible and explicit action
  • Trace and justification preserved
  • Mobile-native use for field and operational managers
Operations 3 open decisions
To be validated

Escalate a sensitive customer situation

High criticality, processing delay and human override history.

Owner: Customer Service Trace: obligatory
To arbitrate

Amplify or correct a campaign

CAC above the threshold, segment potential still positive.

Owner: Marketing Source: BigQuery

Critical decisions

Finance, marketing, field sales, operations: the method always starts from a decision.

Finance

Arbitrate a budget envelope or deal with forecast drift.

Marketing

Amplify, correct or cut a campaign.

Field salesman

Prioritize high-risk visits or accounts.

Operations

Reprioritize according to criticality, delay or capacity.

Customer service

Escalate a sensitive situation with context and trace.

Existing stack

Your BI remains the source of analysis. Sweeft adds the decision layer.

Oneboard operates on top of existing systems. Enterprise platforms remain the sources authoritarian.

Power BI Microsoft Fabric Databricks Snowflake BigQuery Qlik CRM Cloud Data
  • No replacement of the data stack
  • No shadow warehouse
  • Governed access and respected user rights
  • Assistive, explainable AI under human responsibility
  • Compute used selectively when relevant

Measure

Decision-making performance is measured in usage, not just in reports.

The value loop closes when decisions are executed, observed, corrected and improved.

Signal -> decision Qualifying time
Decision -> action Lead time
Decisions plotted Justification rate
Use of signals Field activation
Human Override Control and learning
Observed result Expected/actual gap

QuickScan Decision Intelligence

Identify your top 3 decision-making frictions in 30 minutes.

Uncover the decisions that create or destroy value, the frictions that slow them down and the next useful step.

Request a QuickScan Do the SelfScan