A system that measures first with a calibrated quantitative core, then complements the analysis with specialist agents and generative AI. It connects enterprise information, compares paths, and prepares the next step with verifiable evidence.
It is not an isolated chat. It is an intelligence layer over your systems, rules, and permissions, with human oversight before any sensitive action.
Context
Governed data
Agents
Coordinated specialists
Decision
Comparable scenarios
Control
Approval and audit
Available capabilities depend on connected sources, data quality, permissions, and the validated scope for each process.
Decision cycle
Integrates authorized context
Calibrates variables and constraints
Agents explain paths and risk
Requests approval and records
Specialized agents
The system behind the release
It combines multiple forms of intelligence to move a question from trusted data to an explainable recommendation and, when authorized, a controlled action.
01 · Context
Unifies authorized information from SAP, CRM, databases, APIs, files, and public sources without losing origin, freshness, or scope.
02 · Calculation
It resolves business relationships, rules, and limits before building any explanation. It calculates with what is available and preserves what is missing.
03 · Understanding
It interprets the calculated result, connects it with corporate context, and turns it into a clear, useful, actionable explanation.
04 · Coordination
Digital specialists across data, finance, talent, risk, and operations prepare the next step under permissions and human control.
Supervised autonomy
Sensitive actions pass through preview, frozen evidence, separation between proposer and approver, stage-specific permissions, and outcome recording. Every retry preserves identity and traceability.
Decision lab
A compact product experience: the core calculates the scenario, reveals what matters, and generative intelligence turns it into a decision ready for review.
Finance leadership
Case conditions
Calculation core
It applies business relationships and limits. It does not improvise or fill in what is missing.
18.8%
Visible margin
36.7%
Protected margin
$91k
Value to activate
Result resolved
100%Generative intelligence
Recoverable value
The system found 140 already validated hours that are not yet reflected in the period result.
By incorporating only work that already passed validation, potential margin changes by 18 points. No assumption was added to the calculation.
Recommended priority
Release validated work for billing
Prepare the batch of ready entries, assign an owner, and request approval to release billing.
Control
Requires approval
Simulated case with fictional data. Controls alter the calculation and recommendation.
Nothing executes without approval
Before and with AI Decision Agents
The value is in reducing manual searches and cross-checks, coordinating specialized analysis, showing evidence, and making clear what needs review or approval.
Illustrative scenarios, not guaranteed results. Impact depends on sources, data quality, permissions, processes, and the scope validated during diagnosis.
The problem we solve
Decision agents reduce the time spent searching, validating, and consolidating scattered information before a decision.
Critical information spread across SAP, Excel, databases, and manual reports.
Teams consolidating recurring reports by hand across multiple sources.
Inconsistencies caught too late — usually only after they hit the final report.
Critical processes tied to a single spreadsheet maintained by one person on the team.
Platforms that do not talk to each other and force manual double-entry.
Operational questions delayed by manual searches and source validation.
7 verifiable capabilities
Seven concrete functions over real systems, combining generative AI, quantitative analysis, permissions, and traceability.
Connect enterprise sources, public sources, and files under an authorized context.
Publish trusted data with visible origin, quality, freshness, and traceability.
Coordinate specialized agents with tools, memory, and scheduled tasks.
Generate answers and analysis over corporate knowledge with verifiable evidence.
Detect anomalies, relationships, risks, and pending work without fabricating certainty.
Explore dynamic scenarios and observe how the decision changes as its conditions are adjusted.
Prepare actions with preview, approval, controlled execution, and outcome recording.
What each role sees
Each user accesses the intelligence and tools required by their role: decisions, closings, evidence, or operations.
CEO
Traceable answers for review without relying on an ad hoc spreadsheet.
CFO
Closings, reconciliations, and variances with connected evidence and validation controls.
Compliance / Audit
Who did what, when, with which source, and under which approval. Evidence ready to review.
Consultant / Partner
Assisted data preparation with more room for solution design.
Operations
Incidents, status, and cross-source validations presented in one controlled workflow.
HR
Headcount, absences, organizational structure, and master data — queryable with traceability.
Autonomy with verifiable boundaries
Organization-level isolation, defined permissions, frozen evidence, and human approval before sensitive actions.
Each user accesses only the information authorized for their role and the agreed scope.
Data, credentials, agents, and executions remain limited to the authorized workspace.
Sensitive actions are confirmed before they run against the real systems.
Every finding preserves sources, freshness, scope, and context for review and audit.
The person proposing an action cannot approve it when the process requires a second review.
Decisions, approvals, attempts, and outcomes are recorded for follow-up and recovery.
Next step
In a focused assessment we connect one source, define one concrete decision, and test what generative AI, agents, and quantitative models can contribute.
