Decision Architecture for High‑Stakes Commercial Decisions
An ownable, software‑implemented decision architecture that systematizes senior judgment across pricing, bidding, procurement, and strategy.
Most analytics explain what happened.
Decisium is built for a different problem: how senior teams actually decide what to do when uncertainty, competition, and material money are on the line.
Decisium is not a product suite. It is a transferable decision architecture—implemented in executable models and interfaces—that consulting firms can embed, own, and scale.
Across pricing, bidding, procurement, and strategic choices, firms repeatedly confront the same issue:
- Decisions are high‑stakes and forward‑looking
- Data is incomplete or judgment‑heavy
- Competitive and counterparty responses matter
-Outcomes must be defensible to executives, boards, or investment committees
In practice, these decisions are handled through partner intuition, bespoke spreadsheets, and one‑off analyses. That approach works—but it is implicit, difficult to transfer, and does not scale cleanly.
Decisium makes expert decision logic explicit and repeatable.
Decisium is a codified decision architecture developed over 25+ years of real‑world commercial and strategic engagements.
It embeds senior‑level judgment into structured, executable decision frameworks that:
- enforce consistent framing and logic
- require explicit assumptions and trade‑offs
- evaluate uncertainty, risk, and counterparty response
- produce auditable, decision‑grade outputs
The architecture is implemented in software, but it is designed as IP, not as a SaaS product.
In practical terms, Decisium consists of executable decision frameworks—implemented as structured models, logic layers, and interactive interfaces—that guide teams step‑by‑step through complex decisions.T
hese are not static playbooks or black‑box optimizers. They are decision environments that make reasoning visible, testable, and defensible.
Firms that acquire Decisium receive the underlying decision logic, structure, and implementation, and embed it within their own methodology and ways of working.
Decisium spans the full lifecycle of commercial decision‑making:
Market Entry & Price Setting
Pricing treated as a risk‑adjusted investment decision, explicitly modeling probability of success, downside exposure, payback, and competitive response.
Price Adjustment & Value Capture
Structured evaluation of price moves under uncertainty, with explicit governance floors and walk‑away thresholds.
Product & Offer Enhancement
Linking feature or service changes to customer choice behavior and monetization logic.
Bid & Negotiation Decisions (Sell‑Side)
Decision‑grade support for bids and negotiations, including walk‑away logic, authority, and round‑by‑round competitive dynamics.
Procurement & Vendor Decisions (Buy‑Side)
Multi‑criteria vendor evaluation, value equivalence analysis, negotiation strategy, and disciplined counterparty comparison.
Decision Tree Analysis
Full decision‑tree modeling (including competitor‑first and dual‑tree logic) for strategic choices such as market moves, capacity investment, make‑buy decisions, and regulatory or tariff scenarios.
Together, these frameworks share a common decision grammar and governance logic.
Decisium is designed so junior teams can execute with senior‑level rigor by construction.
Senior leaders define the framing, assumptions, and guardrails. Teams then work within structured decision environments that ensure consistency, transparency, and analytical discipline across engagements.
The result is faster execution without sacrificing judgment quality.
Decisium enforces disciplines that typical analytics do not:
- Explicit assumptions and belief statements
- Defined authority limits and walk‑away points
- Traceable links between inputs, scenarios, and outcomes
- Outputs suitable for executive, board, and investment‑committee scrutiny
Decisions are not just analytically sound—they are explainable and defensible.
Decisium does not rely on generic, pre-trained AI models to generate answers. Its AI capabilities are embedded within the decision architecture itself and are trained on structured decision inputs captured during real engagements.
Each use of the system generates decision-native data:
- Explicit assumptions and belief statements
- Probability assignments and scenario structures
- Trade-offs made and constraints applied
- Chosen actions and observed outcomes
This data is fundamentally different from generic market or text data. It reflects how senior practitioners reason under uncertainty.
AI components are applied narrowly and deliberately to:
- identify inconsistent or weak assumptions
- surface dominant drivers and swing variables
- compare current decisions to prior, structurally similar cases
- suggest stress-tests or alternative framings based on accumulated patterns
Over time, this creates a firm-specific decision intelligence layer that improves decision quality by learning from the firm’s own history, standards, and judgment—not from external benchmarks or generic training corpora.
AI in Decisium is therefore context-bound, auditable, and subordinate to decision logic, augmenting human judgment rather than replacing it.
Firms with established pricing and strategy practices already recreate this logic repeatedly.
Decisium exists for firms that choose to own a codified version of senior decision judgment, rather than rebuilding it implicitly on every engagement.
Building internally typically means:
- Decision logic residing in individuals and bespoke artifacts
- Inconsistent framing across teams and engagements
- Heavy reliance on senior partners for quality control
- Little accumulation of structured decision data over time
Owning a codified architecture enables:
- Transferable judgment beyond individuals
- Consistent decision framing across practices
- Faster ramp‑up of teams without lowering rigor
- A proprietary decision asset competitors cannot replicate
The trade‑off is not cost. It is whether judgment remains artisanal or becomes a firm capability.
Decisium is not positioned with a list price. Firms that explore ownership typically evaluate it using formal decision analysis—explicitly modeling build-versus-acquire paths, time-to-value, probability of success, partner opportunity cost, and risk. Valuation emerges as the outcome of that decision, not as a starting point.
Decisium is available via IP transfer and embedment, not subscription licensing.
A typical arrangement includes:
- Transfer of the decision architecture and underlying IP
- Integration into the firm’s methodology and workflows
- 6–12 months of advisory support to embed usage and train teams
The objective is simple: the firm owns the capability.
Decisium is a fit for firms that:
- Operate serious pricing, transaction, or strategy practices
- Rely on senior judgment that does not scale cleanly
- Want AI enablement grounded in real decision logic and data
If not, this is likely not useful.
If yes, the next step is a partner‑level discussion, not a demo.
Codified commercial and strategic decision architecture developed over 25+ years of global engagements, embedding value‑based pricing, decision analysis, and competitive response logic.
Decisium was developed by Alain Meloche, a pricing and commercial strategy practitioner with over 25 years of global experience advising senior teams on high-stakes pricing, transaction, and strategic decisions.
Alain has led pricing practices internationally and worked across industrials, healthcare, resources, financial services, and technology. His work has consistently focused on systematizing senior decision judgment—making complex commercial decisions explicit, defensible, and transferable rather than dependent on individual intuition.
Decisium reflects this body of work, codified into an ownable decision architecture designed to be embedded within consulting and advisory practices.
MBA, Harvard Business School, where he studied decision analysis under Howard Raiffa, one of the founders of modern decision theory.
M.A.Sc. in Nuclear Engineering, BSc.(Hons) in Physics.