Commercial Decision Intelligence Platform

Every decision impacts margin. Start deciding with clarity.

Commercial teams approve pricing exceptions under pressure, with incomplete information. The financial impact stays invisible — until it hits your EBITDA.

See How It Works

Structured requests

From scattered emails and corridor approvals to a single, governed entry point.

Financially informed decisions

Every trade-off made explicit — margin impact, precedent risk, clarity score.

Governance infrastructure

Decision impact visible before P&L. Root causes traced. Learning loops built.

Every day, commercial teams make decisions without seeing their true financial impact.

Price concessions, credit notes, payment terms and other routine decisions seem small. Together, they erode margins invisibly.

Request

EMAIL

Special pricing request

TEAMS CHAT

“Can we match competitor?”

ERP REQUEST

Discount override needed

CORRIDOR CHAT

“CFO said it’s fine”

Decision

Delegation Threshold

Decision maker

Approves or escalates

Not visible at decision time

Financial trade-off vs targets

True margin impact across scenarios

Precedent for similar decisions

Signal: analyse or proceed fast

Governance

Month-End ReviewVariance detected
Credit notes€280K

−12% vs plan

Price exceptions€410K

−18% vs plan

Payment terms€95K

cost of extended terms

Volume rebates€165K

above committed

Root cause trail

Cannot trace back to individual decisions

No proactive feedback on decision outcomes. Same pattern repeats.

Why does this keep happening?

Your business runs on two layers. The first — predefined rules, list prices, contracted conditions — works fine. The second is where margin erodes: every exception, every approval override, every corridor concession bypasses those rules and shapes margin, cash flow, and precedent. The problem is structural, not personal — bias, fatigue, and probability distortion are human universals.

Rules & policy

List pricesStandard termsPolicy limits

No approvals required. Controlled by design.

Exception-based decisions

Price concessionsCredit notesPayment terms

Every exception leaks margin. This is the risk layer.

From intuition to deliberate decision‑making

What if the same decision — same pressure, same urgency — could look completely different?

Commercial Request

Price Concession

Same situation · Same stakeholders · Same urgency

Today

Email thread 4:47 PM

“GlobalTech Solutions says they’ll only accept 5%, not 8%. Threatening to block €450K pipeline if we don’t agree. Need a decision by 9AM tomorrow.”

Fwd: RE: Price Concession

“…spoke with procurement. CFO won’t sign off on more than 5%. Competing offer not verified. We should be flexible — they’re a big account.”

Rationale

No delay cost quantified
Pipeline threat unverified
Precedent risk invisible
Annual erosion not modeled
Decision taken

Approved 5% + delay in 4 minutes. No rationale captured. Finance discovers the margin gap in Q2.

Feels reasonable. Impact unknown.

With Decisera

SYSTEM 2 · DEEP REVIEWDue 9AM tomorrow

GlobalTech Solutions

Price Concession

Price concession 8% → 5% — customer threatens €450K pipeline

AI Signal:4 concessions in 18mo — anchoring pattern detected

Decision taken

Same authority. Full trade-off visible. Rationale captured by default.

Finance sees exposure before P&L.

Discipline before approval. Impact visible.

Decisera doesn’t decide. It changes how decisions are approached.

Hover or tap the metrics above to explore what becomes visible.

See how Decisera works

Structure the request. Clarify the decision. Learn from every outcome.

No more scattered emails. No more gut-feel approvals. One governed process — from request to decision to organizational learning.

01

Request

From scattered emails and corridor approvals to a single, governed entry point — without changing how teams work.

Pricing requestCredit notePayment termsExpress shipment

Start from where teams already work

Direct structured entry via web app

Simulate scenarios before submitting

What Changes

Every request is structured, simulated and routed — before it reaches a decision maker. Assumptions become explicit before the request is submitted.

02

Decision

Decision makers see the full picture: financial trade-offs, unknowns, precedents, and a signal to proceed — fast or slow.

64

Margin-dilutive

Revenue Quality

42

Low

Decision Clarity

Reject
Counter
Approve

Financial trade-offs made explicit

What is still unknown — surfaced

Precedents from past decisions shown

Speed vs scrutiny signalled clearly

What Changes

Decisions are no longer based on gut feeling. The decision maker sees facts, not noise — and knows when to slow down.

03

Governance

See the full impact of commercial decisions before they hit P&L. Understand root causes. Learn as an organization.

−€1.04M

68

54

EBITDA Impact

Avg Quality

Avg Clarity

Price concessions
12€480K
Credit notes
8€320K

Decision impact visible before P&L

Root causes for concessions clarified

Teams learn to make better decisions

What Changes

Finance no longer discovers margin erosion at month-end. Governance becomes a learning loop — not an audit trail. Patterns are detected and turned into governance rules.

Learning in the Loop — Decision Science Calibration & Quarterly Feedback

Team members learn decision science concepts through the platform. Every decision outcome feeds back into calibration, improving organizational decision quality over time.

How much EBITDA is exposed by design?

Answer 4 quick questions to estimate how much of your EBITDA is structurally exposed to ungovernered commercial decisions.

Decisera’s design draws from decades of peer-reviewed research in behavioral economics, cognitive psychology, and decision science.

Heuristics & Bias

Routine decisions are shaped by anchoring, availability bias, and overconfidence — even among experienced professionals.

Kahneman & Tversky, 1974

Structured > Intuitive

Simple structured models consistently outperform expert clinical judgement across ~100 comparative studies.

Dawes, Faust & Meehl, 1989

Choice Architecture

How options are presented influences which option is chosen — without restricting freedom. Better defaults, better outcomes.

Thaler, Sunstein & Balz, 2010

Continuous Calibration

Personalised feedback on past decisions reduces biases by 18–32%, with effects persisting over time.

Morewedge et al., 2015